SYMBOL INDEX (10809 symbols across 1192 files)

FILE: configs/__init__.py
  function load_configs (line 4) | def load_configs(name):

FILE: extensions/mesh_grid/mesh_grid.cpp
  function insert_grid_surface (line 32) | at::Tensor insert_grid_surface(
  function search_nearest_point (line 46) | void search_nearest_point(
  function search_inside_mesh (line 66) | void search_inside_mesh(
  function search_intersect (line 84) | void search_intersect (
  function cumsum (line 103) | at::Tensor cumsum(
  function PYBIND11_MODULE (line 113) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {

FILE: extensions/mesh_grid/mesh_grid_searcher.py
  class MeshGridSearcher (line 7) | class MeshGridSearcher:
    method __init__ (line 8) | def __init__(self, verts=None, faces=None):
    method set_mesh (line 12) | def set_mesh(self, verts, faces):
    method nearest_points (line 30) | def nearest_points(self, points):
    method inside_mesh (line 42) | def inside_mesh(self, points):
    method intersects_any (line 51) | def intersects_any(self, origins, directions):

FILE: extensions/mesh_grid/render.cpp
  function index (line 19) | index zbuffer_forward_cpu(index h, index w, index n, index f,
  function render_forward (line 34) | std::vector<Tensor> render_forward(Tensor verts, Tensor tri,
  function PYBIND11_MODULE (line 64) | PYBIND11_MODULE(_render, m) {

FILE: extensions/mesh_grid/render.h
  function __device__ (line 13) | static __device__ float atomicMin(float* address, float val) {
  function normalize_coeff (line 109) | bool normalize_coeff(scalar c[3], const scalar uv[2],
  function __host__ (line 137) | __host__ index zbuffer_forward(index h, index w, index n, index f,

FILE: extensions/mesh_grid/surface_inside.cpp
  function index (line 21) | index surface_inside_cpu(index n, index d, index m, char *inside,
  function surface_inside (line 59) | torch::Tensor surface_inside(torch::Tensor points,
  function PYBIND11_MODULE (line 139) | PYBIND11_MODULE(surface_inside, m) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Cholesky/LDLT.h
  function namespace (line 18) | namespace Eigen {
  type SolverBase (line 66) | typedef SolverBase<LDLT> Base;
  function enum (line 69) | EIGEN_GENERIC_PUBLIC_INTERFACE(LDLT)
  type Matrix (line 75) | typedef Matrix<Scalar, RowsAtCompileTime, 1, 0, MaxRowsAtCompileTime, 1>...
  type Transpositions (line 77) | typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> Transpos...
  type PermutationMatrix (line 78) | typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> Permu...
  type internal (line 80) | typedef internal::LDLT_Traits<MatrixType,UpLo> Traits;
  function setZero (line 145) | void setZero()
  function typename (line 151) | inline typename Traits::MatrixU matrixU() const
  function isNegative (line 187) | inline bool isNegative(void) const
  function MatrixType (line 236) | inline const MatrixType& matrixLDLT() const
  function namespace (line 292) | namespace internal {
  function Upper (line 459) | struct ldlt_inplace<Upper>
  type TriangularView (line 479) | typedef const TriangularView<const typename
  function MatrixL (line 480) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
  function MatrixU (line 481) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoi...
  type TriangularView (line 487) | typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
  function MatrixL (line 488) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoi...
  function MatrixU (line 489) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
  type typename (line 538) | typedef typename TranspositionType::StorageIndex IndexType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Cholesky/LLT.h
  function namespace (line 15) | namespace Eigen {
  type SolverBase (line 73) | typedef SolverBase<LLT> Base;
  function enum (line 76) | EIGEN_GENERIC_PUBLIC_INTERFACE(LLT)
  type internal (line 87) | typedef internal::LLT_Traits<MatrixType,UpLo> Traits;
  function explicit (line 103) | explicit LLT(Index size) : m_matrix(size, size),
  function typename (line 130) | inline typename Traits::MatrixU matrixU() const
  function MatrixType (line 179) | inline const MatrixType& matrixLLT() const
  function namespace (line 234) | namespace internal {
  type typename (line 378) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type TriangularView (line 403) | typedef const TriangularView<const typename
  function MatrixL (line 404) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
  function MatrixU (line 405) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoi...
  function inplace_decomposition (line 406) | static bool inplace_decomposition(MatrixType& m)
  type TriangularView (line 413) | typedef const TriangularView<const MatrixType, Upper> MatrixU;
  function MatrixL (line 414) | static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoi...
  function MatrixU (line 415) | static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
  function inplace_decomposition (line 416) | static bool inplace_decomposition(MatrixType& m)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Cholesky/LLT_LAPACKE.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/CholmodSupport/CholmodSupport.h
  function namespace (line 15) | namespace Eigen {
  function cholmod_sparse (line 107) | cholmod_sparse viewAsCholmod(const SparseMatrix<Scalar_,Options_,Index_>...
  function cholmod_sparse (line 114) | cholmod_sparse viewAsCholmod(const SparseVector<Scalar_,Options_,Index_>...
  type typename (line 142) | typedef typename Derived::Scalar Scalar;
  function namespace (line 167) | namespace internal {
  type CholmodMode (line 205) | enum CholmodMode {
  type typename (line 225) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 226) | typedef typename MatrixType::RealScalar RealScalar;
  type MatrixType (line 227) | typedef MatrixType CholMatrixType;
  type typename (line 228) | typedef typename MatrixType::StorageIndex StorageIndex;
  function StorageIndex (line 260) | inline StorageIndex cols() const { return internal::convert_index<Storag...
  function analyzePattern (line 288) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 310) | void factorize(const MatrixType& matrix)
  function Scalar (line 393) | Scalar determinant() const
  function Base (line 490) | CholmodSimplicialLLT(const MatrixType& matrix) : Base()
  function Base (line 541) | CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
  function Base (line 590) | CholmodSupernodalLLT(const MatrixType& matrix) : Base()
  function Base (line 641) | CholmodDecomposition(const MatrixType& matrix) : Base()
  function setMode (line 649) | void setMode(CholmodMode mode)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/ArithmeticSequence.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 404) | namespace indexing {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Array.h
  function namespace (line 15) | namespace Eigen {
  function enum (line 53) | EIGEN_DENSE_PUBLIC_INTERFACE(Array)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/ArrayBase.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/ArrayWrapper.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Assign.h
  function namespace (line 17) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/AssignEvaluator.h
  function namespace (line 17) | namespace Eigen {
  function run (line 247) | void run(Kernel& kernel)
  type typename (line 268) | typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
  type typename (line 269) | typedef typename DstEvaluatorType::XprType DstXprType;
  type typename (line 270) | typedef typename Kernel::PacketType PacketType;
  function run (line 279) | void run(Kernel &kernel)
  type typename (line 296) | typedef typename Kernel::PacketType PacketType;
  function run (line 297) | void run(Kernel &kernel, Index outer)
  type typename (line 359) | typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
  type typename (line 369) | typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
  type unaligned_dense_assignment_loop (line 394) | struct unaligned_dense_assignment_loop
  type typename (line 422) | typedef typename Kernel::Scalar Scalar;
  type typename (line 423) | typedef typename Kernel::PacketType PacketType;
  type typename (line 449) | typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
  type typename (line 450) | typedef typename Kernel::PacketType PacketType;
  function run (line 473) | void run(Kernel &kernel)
  type typename (line 489) | typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
  type typename (line 499) | typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
  type typename (line 500) | typedef typename Kernel::AssignmentTraits Traits;
  type typename (line 528) | typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
  type typename (line 542) | typedef typename Kernel::Scalar Scalar;
  type typename (line 543) | typedef typename Kernel::PacketType PacketType;
  type typename (line 590) | typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
  type typename (line 591) | typedef typename Kernel::PacketType PacketType;
  type typename (line 623) | typedef typename SrcEvaluatorTypeT::XprType SrcXprType;
  type SrcEvaluatorTypeT (line 627) | typedef SrcEvaluatorTypeT SrcEvaluatorType;
  type typename (line 628) | typedef typename DstEvaluatorType::Scalar Scalar;
  type copy_using_evaluator_traits (line 629) | typedef copy_using_evaluator_traits<DstEvaluatorTypeT, SrcEvaluatorTypeT...
  type typename (line 630) | typedef typename AssignmentTraits::PacketType PacketType;
  function EIGEN_DEVICE_FUNC (line 649) | EIGEN_DEVICE_FUNC DstEvaluatorType& dstEvaluator() EIGEN_NOEXCEPT { retu...
  function EIGEN_DEVICE_FUNC (line 650) | EIGEN_DEVICE_FUNC const SrcEvaluatorType& srcEvaluator() const EIGEN_NOE...
  function assignCoeff (line 659) | void assignCoeff(Index index)
  function assignCoeffByOuterInner (line 665) | void assignCoeffByOuterInner(Index outer, Index inner)
  function assignPacket (line 674) | void assignPacket(Index row, Index col)
  function assignPacket (line 680) | void assignPacket(Index index)
  function assignPacketByOuterInner (line 686) | void assignPacketByOuterInner(Index outer, Index inner)
  function Index (line 693) | Index rowIndexByOuterInner(Index outer, Index inner)
  function Index (line 702) | Index colIndexByOuterInner(Index outer, Index inner)
  function EIGEN_DEVICE_FUNC (line 711) | EIGEN_DEVICE_FUNC const Scalar* dstDataPtr() const
  type typename (line 735) | typedef typename Base::DstXprType DstXprType;
  type copy_using_evaluator_traits (line 736) | typedef copy_using_evaluator_traits<DstEvaluatorTypeT, SrcEvaluatorTypeT...
  type typename (line 737) | typedef typename AssignmentTraits::PacketType PacketType;
  function EIGEN_DEVICE_FUNC (line 739) | EIGEN_DEVICE_FUNC restricted_packet_dense_assignment_kernel(DstEvaluator...
  function resize_if_allowed (line 751) | void resize_if_allowed(DstXprType &dst, const SrcXprType& src, const Fun...
  type evaluator (line 773) | typedef evaluator<SrcXprType> SrcEvaluatorType;
  type generic_dense_assignment_kernel (line 783) | typedef generic_dense_assignment_kernel<DstEvaluatorType,SrcEvaluatorTyp...
  function call_dense_assignment_loop (line 792) | void call_dense_assignment_loop(DstXprType& dst, const Eigen::CwiseNulla...
  function call_dense_assignment_loop (line 800) | void call_dense_assignment_loop(DstXprType& dst, const SrcXprType& src)
  type Dense2Dense (line 815) | struct Dense2Dense {}
  type EigenBase2EigenBase (line 816) | struct EigenBase2EigenBase {}
  type EigenBase2EigenBase (line 818) | typedef EigenBase2EigenBase Kind;
  type AssignmentKind (line 819) | struct AssignmentKind
  type Dense2Dense (line 819) | typedef Dense2Dense Kind;
  function call_assignment (line 835) | void call_assignment(Dst& dst, const Src& src)
  function call_assignment (line 841) | void call_assignment(const Dst& dst, const Src& src)
  function call_assignment_no_alias (line 874) | void call_assignment_no_alias(Dst& dst, const Src& src, const Func& func)
  function call_restricted_packet_assignment_no_alias (line 896) | void call_restricted_packet_assignment_no_alias(Dst& dst, const Src& src...
  function call_assignment_no_alias (line 916) | void call_assignment_no_alias(Dst& dst, const Src& src)
  function call_assignment_no_alias_no_transpose (line 923) | void call_assignment_no_alias_no_transpose(Dst& dst, const Src& src, con...
  function call_assignment_no_alias_no_transpose (line 934) | void call_assignment_no_alias_no_transpose(Dst& dst, const Src& src)
  type Assignment (line 964) | struct Assignment

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Assign_MKL.h
  function namespace (line 39) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/BandMatrix.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 105) | typedef typename internal::conditional<Conjugate,
  function typename (line 117) | const typename DiagonalIntReturnType<N>::Type diagonal() const
  function DenseMatrixType (line 147) | DenseMatrixType toDenseMatrix() const
  type Dense (line 183) | typedef Dense StorageKind;
  type Eigen (line 184) | typedef Eigen::Index StorageIndex;
  type Matrix (line 197) | typedef Matrix<Scalar, DataRowsAtCompileTime, ColsAtCompileTime, int(Opt...
  type typename (line 205) | typedef typename internal::traits<BandMatrix>::Scalar Scalar;
  type typename (line 206) | typedef typename internal::traits<BandMatrix>::StorageIndex StorageIndex;
  type typename (line 207) | typedef typename internal::traits<BandMatrix>::CoefficientsType Coeffici...
  function CoefficientsType (line 228) | inline CoefficientsType& coeffs() { return m_coeffs; }
  type typename (line 245) | typedef typename _CoefficientsType::StorageKind StorageKind;
  type typename (line 246) | typedef typename _CoefficientsType::StorageIndex StorageIndex;
  type _CoefficientsType (line 259) | typedef _CoefficientsType CoefficientsType;
  type typename (line 268) | typedef typename internal::traits<BandMatrixWrapper>::CoefficientsType C...
  type typename (line 269) | typedef typename internal::traits<BandMatrixWrapper>::StorageIndex Stora...
  type typename (line 317) | typedef typename Base::StorageIndex StorageIndex;
  type BandShape (line 333) | struct BandShape {}
  type AssignmentKind (line 349) | struct AssignmentKind
  type EigenBase2EigenBase (line 349) | typedef EigenBase2EigenBase Kind;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Block.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 160) | typedef typename XprType::StorageIndex StorageIndex;
  function EIGEN_STRONG_INLINE (line 164) | EIGEN_STRONG_INLINE BlockImpl(XprType& xpr, Index i) : Impl(xpr,i) {}
  function namespace (line 171) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/BooleanRedux.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 53) | EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
  function run (line 62) | static inline bool run(const Derived & /*mat*/) { return false; }
  function run (line 68) | static inline bool run(const Derived &) { return false; }
  function all (line 81) | inline bool DenseBase<Derived>::all() const
  function any (line 105) | inline bool DenseBase<Derived>::any() const

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CommaInitializer.h
  function namespace (line 16) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 122) | EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/ConditionEstimator.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CoreEvaluators.h
  function namespace (line 18) | namespace Eigen {
  type typename (line 169) | typedef typename PlainObjectType::Scalar Scalar;
  type typename (line 170) | typedef typename PlainObjectType::CoeffReturnType CoeffReturnType;
  function explicit (line 197) | explicit evaluator(const PlainObjectType& m)
  function CoeffReturnType (line 204) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 213) | CoeffReturnType coeff(Index index) const
  function PacketType (line 235) | PacketType packet(Index row, Index col) const
  function PacketType (line 245) | PacketType packet(Index index) const
  function writePacket (line 252) | void writePacket(Index row, Index col, const PacketType& x)
  function writePacket (line 264) | void writePacket(Index index, const PacketType& x)
  function EIGEN_DEVICE_FUNC (line 280) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
  function explicit (line 284) | explicit evaluator(const XprType& m)
  function EIGEN_DEVICE_FUNC (line 295) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
  function explicit (line 299) | explicit evaluator(const XprType& m)
  function explicit (line 319) | explicit unary_evaluator(const XprType& t) : m_argImpl(t.nestedExpressio...
  type typename (line 321) | typedef typename XprType::Scalar Scalar;
  type typename (line 322) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 325) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 331) | CoeffReturnType coeff(Index index) const
  function typename (line 343) | typename XprType::Scalar& coeffRef(Index index)
  function PacketType (line 350) | PacketType packet(Index row, Index col) const
  function PacketType (line 357) | PacketType packet(Index index) const
  function writePacket (line 364) | void writePacket(Index row, Index col, const PacketType& x)
  function writePacket (line 371) | void writePacket(Index index, const PacketType& x)
  function EIGEN_STRONG_INLINE (line 393) | EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) ...
  function EIGEN_STRONG_INLINE (line 395) | EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexTy...
  function EIGEN_STRONG_INLINE (line 396) | EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const {...
  function EIGEN_STRONG_INLINE (line 426) | EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexTy...
  function EIGEN_STRONG_INLINE (line 432) | EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) ...
  function EIGEN_STRONG_INLINE (line 434) | EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const {...
  function EIGEN_STRONG_INLINE (line 474) | EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) ...
  function EIGEN_STRONG_INLINE (line 482) | EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexTy...
  function EIGEN_STRONG_INLINE (line 489) | EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const {
  type typename (line 503) | typedef typename internal::remove_all<PlainObjectType>::type PlainObject...
  function EIGEN_DEVICE_FUNC (line 516) | EIGEN_DEVICE_FUNC explicit evaluator(const XprType& n)
  type typename (line 522) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function EIGEN_STRONG_INLINE (line 525) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 532) | EIGEN_STRONG_INLINE
  function PacketType (line 540) | PacketType packet(IndexType row, IndexType col) const
  function PacketType (line 547) | PacketType packet(IndexType index) const
  function explicit (line 574) | explicit unary_evaluator(const XprType& op) : m_d(op)
  type typename (line 580) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 583) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 589) | CoeffReturnType coeff(Index index) const
  function PacketType (line 596) | PacketType packet(Index row, Index col) const
  function PacketType (line 603) | PacketType packet(Index index) const
  type Data (line 611) | struct Data
  type ternary_evaluator (line 632) | typedef ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> > ...
  function EIGEN_DEVICE_FUNC (line 634) | EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr) : Base(xpr) {}
  function EIGEN_DEVICE_FUNC (line 665) | EIGEN_DEVICE_FUNC explicit ternary_evaluator(const XprType& xpr) : m_d(xpr)
  type typename (line 671) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 674) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 680) | CoeffReturnType coeff(Index index) const
  function PacketType (line 687) | PacketType packet(Index row, Index col) const
  function PacketType (line 696) | PacketType packet(Index index) const
  type Data (line 705) | struct Data
  type binary_evaluator (line 728) | typedef binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > Base;
  function explicit (line 731) | explicit evaluator(const XprType& xpr) : Base(xpr) {}
  function explicit (line 760) | explicit binary_evaluator(const XprType& xpr) : m_d(xpr)
  type typename (line 766) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 769) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 775) | CoeffReturnType coeff(Index index) const
  function PacketType (line 782) | PacketType packet(Index row, Index col) const
  function PacketType (line 790) | PacketType packet(Index index) const
  type Data (line 799) | struct Data
  function EIGEN_DEVICE_FUNC (line 829) | EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& op) : m_d(op)
  type typename (line 835) | typedef typename XprType::Scalar Scalar;
  type typename (line 836) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 839) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 845) | CoeffReturnType coeff(Index index) const
  type Data (line 865) | struct Data
  type Derived (line 888) | typedef Derived  XprType;
  type typename (line 889) | typedef typename XprType::PointerType PointerType;
  type typename (line 890) | typedef typename XprType::Scalar Scalar;
  type typename (line 891) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 911) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 917) | CoeffReturnType coeff(Index index) const
  function PacketType (line 936) | PacketType packet(Index row, Index col) const
  function PacketType (line 944) | PacketType packet(Index index) const
  function writePacket (line 951) | void writePacket(Index row, Index col, const PacketType& x)
  function writePacket (line 959) | void writePacket(Index index, const PacketType& x)
  function EIGEN_CONSTEXPR (line 964) | EIGEN_CONSTEXPR
  function explicit (line 1095) | explicit block_evaluator(const XprType& block)
  function CoeffReturnType (line 1123) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 1129) | CoeffReturnType coeff(Index index) const
  function PacketType (line 1148) | PacketType packet(Index row, Index col) const
  function PacketType (line 1155) | PacketType packet(Index index) const
  function writePacket (line 1166) | void writePacket(Index row, Index col, const PacketType& x)
  function writePacket (line 1173) | void writePacket(Index index, const PacketType& x)
  function CoeffReturnType (line 1185) | CoeffReturnType linear_coeff_impl(Index index, internal::true_type /* Fo...
  function CoeffReturnType (line 1190) | CoeffReturnType linear_coeff_impl(Index index, internal::false_type /* n...
  type typename (line 1221) | typedef typename XprType::Scalar Scalar;
  function explicit (line 1224) | explicit block_evaluator(const XprType& block)
  type typename (line 1261) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 1264) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 1273) | CoeffReturnType coeff(Index index) const
  type typename (line 1295) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1299) | typedef typename internal::nested_eval<ArgType,Factor>::type ArgTypeNested;
  type typename (line 1300) | typedef typename internal::remove_all<ArgTypeNested>::type ArgTypeNested...
  function CoeffReturnType (line 1333) | CoeffReturnType coeff(Index index) const
  function PacketType (line 1345) | PacketType packet(Index row, Index col) const
  function PacketType (line 1359) | PacketType packet(Index index) const
  type typename (line 1384) | typedef typename remove_all<typename XprType::NestedExpressionType>::typ...
  function explicit (line 1392) | explicit evaluator_wrapper_base(const ArgType& arg) : m_argImpl(arg) {}
  type typename (line 1394) | typedef typename ArgType::Scalar Scalar;
  type typename (line 1395) | typedef typename ArgType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 1398) | CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 1404) | CoeffReturnType coeff(Index index) const
  function PacketType (line 1423) | PacketType packet(Index row, Index col) const
  function PacketType (line 1430) | PacketType packet(Index index) const
  function writePacket (line 1437) | void writePacket(Index row, Index col, const PacketType& x)
  function writePacket (line 1444) | void writePacket(Index index, const PacketType& x)
  function explicit (line 1460) | explicit unary_evaluator(const XprType& wrapper)
  function explicit (line 1472) | explicit unary_evaluator(const XprType& wrapper)
  type typename (line 1488) | typedef typename XprType::Scalar Scalar;
  type typename (line 1489) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 1529) | CoeffReturnType coeff(Index index) const
  function PacketType (line 1549) | PacketType packet(Index row, Index col) const
  function PacketType (line 1564) | PacketType packet(Index index) const
  function writePacket (line 1572) | void writePacket(Index row, Index col, const PacketType& x)
  function writePacket (line 1589) | void writePacket(Index index, const PacketType& x)
  function explicit (line 1623) | explicit evaluator(const XprType& diagonal)
  type typename (line 1628) | typedef typename XprType::Scalar Scalar;
  type typename (line 1629) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function CoeffReturnType (line 1632) | CoeffReturnType coeff(Index row, Index) const
  function CoeffReturnType (line 1638) | CoeffReturnType coeff(Index index) const
  function EvalToTemp (line 1689) | EIGEN_GENERIC_PUBLIC_INTERFACE(EvalToTemp)
  type typename (line 1719) | typedef typename ArgType::PlainObject         PlainObject;
  type evaluator (line 1720) | typedef evaluator<PlainObject> Base;
  function EIGEN_DEVICE_FUNC (line 1722) | EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr)
  function EIGEN_DEVICE_FUNC (line 1729) | EIGEN_DEVICE_FUNC evaluator(const ArgType& arg)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CoreIterators.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 77) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CwiseBinaryOp.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 90) | typedef typename internal::remove_all<LhsType>::type Lhs;
  type typename (line 91) | typedef typename internal::remove_all<RhsType>::type Rhs;
  type typename (line 93) | typedef typename CwiseBinaryOpImpl<
  type typename (line 105) | typedef typename internal::remove_reference<LhsNested>::type _LhsNested;
  type typename (line 106) | typedef typename internal::remove_reference<RhsNested>::type _RhsNested;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CwiseNullaryOp.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_STATIC_ASSERT_FIXED_SIZE (line 304) | EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  function fill (line 337) | void DenseBase<Derived>::fill(const Scalar& val)
  function namespace (line 840) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CwiseTernaryOp.h
  function namespace (line 17) | namespace Eigen {
  type typename (line 93) | typedef typename internal::remove_all<Arg2Type>::type Arg2;
  type typename (line 94) | typedef typename internal::remove_all<Arg3Type>::type Arg3;
  type typename (line 110) | typedef typename CwiseTernaryOpImpl<
  type typename (line 116) | typedef typename internal::ref_selector<Arg2Type>::type Arg2Nested;
  type typename (line 117) | typedef typename internal::ref_selector<Arg3Type>::type Arg3Nested;
  type typename (line 118) | typedef typename internal::remove_reference<Arg1Nested>::type _Arg1Nested;
  type typename (line 119) | typedef typename internal::remove_reference<Arg2Nested>::type _Arg2Nested;
  type typename (line 120) | typedef typename internal::remove_reference<Arg3Nested>::type _Arg3Nested;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CwiseUnaryOp.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 64) | typedef typename internal::remove_all<XprType>::type NestedExpression;
  function typename (line 86) | typename internal::remove_all<XprTypeNested>::type&

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/CwiseUnaryView.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 67) | typedef typename internal::remove_all<MatrixType>::type NestedExpression;
  type typename (line 111) | typedef typename internal::dense_xpr_base< CwiseUnaryView<ViewOp, Matrix...
  function EIGEN_INHERIT_ASSIGNMENT_OPERATORS (line 113) | EIGEN_DENSE_PUBLIC_INTERFACE(Derived)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/DenseBase.h
  function namespace (line 16) | namespace Eigen {
  type Transpose (line 319) | typedef Transpose<Derived> TransposeReturnType;
  type typename (line 322) | typedef typename internal::add_const<Transpose<const Derived> >::type Co...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/DenseCoeffsBase.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 488) | typedef typename internal::traits<Derived>::Scalar Scalar;
  type typename (line 489) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function EIGEN_CONSTEXPR (line 518) | EIGEN_CONSTEXPR inline Index stride() const
  function Index (line 587) | inline Index outerStride() const EIGEN_NOEXCEPT
  function Index (line 603) | inline Index rowStride() const EIGEN_NOEXCEPT
  function Index (line 645) | inline Index first_aligned(const DenseBase<Derived>& m)
  function Index (line 652) | inline Index first_default_aligned(const DenseBase<Derived>& m)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/DenseStorage.h
  function namespace (line 23) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 127) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 134) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 146) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 153) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 164) | EIGEN_DEVICE_FUNC plain_array() {}
  function EIGEN_DEVICE_FUNC (line 165) | EIGEN_DEVICE_FUNC plain_array(constructor_without_unaligned_array_assert...
  type plain_array_helper (line 168) | struct plain_array_helper {
  function EIGEN_DEVICE_FUNC (line 220) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 239) | EIGEN_DEVICE_FUNC DenseStorage(DenseStorage&& other) EIGEN_NOEXCEPT
  function EIGEN_DEVICE_FUNC (line 254) | EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols) {
  function Index (line 264) | Index rows(void) EIGEN_NOEXCEPT {return Rows_;}
  function Index (line 265) | Index cols(void) EIGEN_NOEXCEPT {return Cols_;}
  function EIGEN_DEVICE_FUNC (line 266) | EIGEN_DEVICE_FUNC void conservativeResize(Index,Index,Index) {}
  function EIGEN_DEVICE_FUNC (line 267) | EIGEN_DEVICE_FUNC void resize(Index,Index,Index) {}
  function EIGEN_DEVICE_FUNC (line 268) | EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 269) | EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 276) | EIGEN_DEVICE_FUNC DenseStorage() {}
  function EIGEN_DEVICE_FUNC (line 277) | EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_un...
  function EIGEN_DEVICE_FUNC (line 278) | EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage&) {}
  function EIGEN_DEVICE_FUNC (line 280) | EIGEN_DEVICE_FUNC DenseStorage(Index,Index,Index) {}
  function EIGEN_DEVICE_FUNC (line 325) | EIGEN_DEVICE_FUNC DenseStorage(Index, Index rows, Index cols) : m_rows(r...
  function EIGEN_DEVICE_FUNC (line 334) | EIGEN_DEVICE_FUNC void conservativeResize(Index, Index rows, Index cols)...
  function EIGEN_DEVICE_FUNC (line 335) | EIGEN_DEVICE_FUNC void resize(Index, Index rows, Index cols) { m_rows = ...
  function EIGEN_DEVICE_FUNC (line 336) | EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 337) | EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 347) | EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_un...
  function EIGEN_DEVICE_FUNC (line 349) | EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other)
  function EIGEN_DEVICE_FUNC (line 364) | EIGEN_DEVICE_FUNC DenseStorage(Index, Index rows, Index) : m_rows(rows) {}
  function EIGEN_DEVICE_FUNC (line 370) | EIGEN_DEVICE_FUNC Index rows(void) const EIGEN_NOEXCEPT {return m_rows;}
  function Index (line 371) | Index cols(void) const EIGEN_NOEXCEPT {return Cols_;}
  function EIGEN_DEVICE_FUNC (line 372) | EIGEN_DEVICE_FUNC void conservativeResize(Index, Index rows, Index) { m_...
  function EIGEN_DEVICE_FUNC (line 373) | EIGEN_DEVICE_FUNC void resize(Index, Index rows, Index) { m_rows = rows; }
  function EIGEN_DEVICE_FUNC (line 374) | EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 375) | EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 385) | EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_un...
  function EIGEN_DEVICE_FUNC (line 387) | EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other)
  function EIGEN_DEVICE_FUNC (line 401) | EIGEN_DEVICE_FUNC DenseStorage(Index, Index, Index cols) : m_cols(cols) {}
  function Index (line 406) | Index rows(void) const EIGEN_NOEXCEPT {return Rows_;}
  function EIGEN_DEVICE_FUNC (line 407) | EIGEN_DEVICE_FUNC Index cols(void) const EIGEN_NOEXCEPT {return m_cols;}
  function EIGEN_DEVICE_FUNC (line 408) | EIGEN_DEVICE_FUNC void conservativeResize(Index, Index, Index cols) { m_...
  function EIGEN_DEVICE_FUNC (line 409) | EIGEN_DEVICE_FUNC void resize(Index, Index, Index cols) { m_cols = cols; }
  function EIGEN_DEVICE_FUNC (line 410) | EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 411) | EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
  function EIGEN_DEVICE_FUNC (line 467) | EIGEN_DEVICE_FUNC ~DenseStorage() { internal::conditional_aligned_delete...
  function EIGEN_DEVICE_FUNC (line 474) | EIGEN_DEVICE_FUNC Index rows(void) const EIGEN_NOEXCEPT {return m_rows;}
  function EIGEN_DEVICE_FUNC (line 475) | EIGEN_DEVICE_FUNC Index cols(void) const EIGEN_NOEXCEPT {return m_cols;}
  function conservativeResize (line 476) | void conservativeResize(Index size, Index rows, Index cols)
  function EIGEN_DEVICE_FUNC (line 482) | EIGEN_DEVICE_FUNC void resize(Index size, Index rows, Index cols)
  function EIGEN_DEVICE_FUNC (line 496) | EIGEN_DEVICE_FUNC const T *data() const { return m_data; }
  function EIGEN_DEVICE_FUNC (line 497) | EIGEN_DEVICE_FUNC T *data() { return m_data; }
  function explicit (line 507) | explicit DenseStorage(internal::constructor_without_unaligned_array_asse...
  function EIGEN_DEVICE_FUNC (line 508) | EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols) : m_d...
  function EIGEN_DEVICE_FUNC (line 514) | EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other)
  function EIGEN_DEVICE_FUNC (line 531) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 547) | EIGEN_DEVICE_FUNC ~DenseStorage() { internal::conditional_aligned_delete...
  function Index (line 552) | Index rows(void) EIGEN_NOEXCEPT {return Rows_;}
  function EIGEN_DEVICE_FUNC (line 553) | EIGEN_DEVICE_FUNC Index cols(void) const EIGEN_NOEXCEPT {return m_cols;}
  function EIGEN_DEVICE_FUNC (line 554) | EIGEN_DEVICE_FUNC void conservativeResize(Index size, Index, Index cols)
  function resize (line 559) | void resize(Index size, Index, Index cols)
  function EIGEN_DEVICE_FUNC (line 572) | EIGEN_DEVICE_FUNC const T *data() const { return m_data; }
  function EIGEN_DEVICE_FUNC (line 573) | EIGEN_DEVICE_FUNC T *data() { return m_data; }
  function explicit (line 583) | explicit DenseStorage(internal::constructor_without_unaligned_array_asse...
  function EIGEN_DEVICE_FUNC (line 584) | EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols) : m_d...
  function EIGEN_DEVICE_FUNC (line 590) | EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other)
  function EIGEN_DEVICE_FUNC (line 607) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 623) | EIGEN_DEVICE_FUNC ~DenseStorage() { internal::conditional_aligned_delete...
  function EIGEN_DEVICE_FUNC (line 628) | EIGEN_DEVICE_FUNC Index rows(void) const EIGEN_NOEXCEPT {return m_rows;}
  function Index (line 629) | Index cols(void) {return Cols_;}
  function conservativeResize (line 630) | void conservativeResize(Index size, Index rows, Index)
  function resize (line 635) | void resize(Index size, Index rows, Index)
  function EIGEN_DEVICE_FUNC (line 648) | EIGEN_DEVICE_FUNC const T *data() const { return m_data; }
  function EIGEN_DEVICE_FUNC (line 649) | EIGEN_DEVICE_FUNC T *data() { return m_data; }

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Diagonal.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 71) | typedef typename internal::dense_xpr_base<Diagonal>::type Base;
  function explicit (line 75) | explicit inline Diagonal(MatrixType& matrix, Index a_index = DiagIndex) ...
  type typename (line 100) | typedef typename internal::conditional<
  function EIGEN_DEVICE_FUNC (line 106) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 108) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 111) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 118) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 124) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 130) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 137) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 143) | EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/DiagonalMatrix.h
  function namespace (line 16) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 164) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 168) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 172) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 176) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 180) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 195) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 203) | EIGEN_STRONG_INLINE DiagonalMatrix(const std::initializer_list<std::init...
  function m_diagonal (line 210) | inline DiagonalMatrix(const DiagonalBase<OtherDerived>& other) : m_diago...
  function m_diagonal (line 214) | inline DiagonalMatrix(const DiagonalMatrix& other) : m_diagonal(other.di...
  function explicit (line 220) | explicit inline DiagonalMatrix(const MatrixBase<OtherDerived>& other) : ...
  function EIGEN_DEVICE_FUNC (line 245) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 248) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 251) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 254) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 257) | EIGEN_DEVICE_FUNC
  function namespace (line 275) | namespace internal {
  type DiagonalVectorType_ (line 300) | typedef DiagonalVectorType_ DiagonalVectorType;
  type DiagonalWrapper (line 301) | typedef DiagonalWrapper Nested;
  function m_diagonal (line 306) | inline DiagonalWrapper(DiagonalVectorType& a_diagonal) : m_diagonal(a_di...
  function DiagonalWrapper (line 326) | inline const DiagonalWrapper<const Derived>
  function namespace (line 359) | namespace internal {
  function run (line 385) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/DiagonalProduct.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Dot.h
  function namespace (line 15) | namespace Eigen {
  type internal (line 80) | typedef internal::scalar_conj_product_op<Scalar,typename
  type typename (line 128) | typedef typename internal::nested_eval<Derived,2>::type _Nested;
  type typename (line 171) | typedef typename internal::nested_eval<Derived,3>::type _Nested;
  function namespace (line 203) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/EigenBase.h
  function namespace (line 16) | namespace Eigen {
  function Index (line 62) | inline Index rows() const EIGEN_NOEXCEPT { return derived().rows(); }
  function addTo (line 80) | inline void addTo(Dest& dst) const
  function subTo (line 92) | inline void subTo(Dest& dst) const
  function applyThisOnTheRight (line 103) | inline void applyThisOnTheRight(Dest& dst) const
  function applyThisOnTheLeft (line 112) | inline void applyThisOnTheLeft(Dest& dst) const

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/ForceAlignedAccess.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Fuzzy.h
  function namespace (line 16) | namespace Eigen {
  function typename (line 67) | typename Derived::RealScalar& prec)
  function EIGEN_DEVICE_FUNC (line 76) | EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/GeneralProduct.h
  function namespace (line 16) | namespace Eigen {
  type product_type_selector (line 105) | struct product_type_selector
  type product_type_selector (line 106) | struct product_type_selector
  type product_type_selector (line 107) | struct product_type_selector
  type product_type_selector (line 108) | struct product_type_selector
  type product_type_selector (line 109) | struct product_type_selector
  type product_type_selector (line 110) | struct product_type_selector
  type product_type_selector (line 111) | struct product_type_selector
  type product_type_selector (line 112) | struct product_type_selector
  type product_type_selector (line 113) | struct product_type_selector
  type product_type_selector (line 114) | struct product_type_selector
  type product_type_selector (line 115) | struct product_type_selector
  type product_type_selector (line 116) | struct product_type_selector
  type product_type_selector (line 117) | struct product_type_selector
  type product_type_selector (line 118) | struct product_type_selector
  type product_type_selector (line 119) | struct product_type_selector
  type product_type_selector (line 120) | struct product_type_selector
  type product_type_selector (line 121) | struct product_type_selector
  type product_type_selector (line 122) | struct product_type_selector
  type product_type_selector (line 123) | struct product_type_selector
  type product_type_selector (line 124) | struct product_type_selector
  function namespace (line 154) | namespace internal {
  function namespace (line 161) | namespace internal {
  function EIGEN_STRONG_INLINE (line 186) | EIGEN_STRONG_INLINE Scalar* data() { return m_data.array; }
  function EIGEN_STRONG_INLINE (line 191) | EIGEN_STRONG_INLINE Scalar* data() {
  type gemv_dense_selector (line 213) | struct gemv_dense_selector
  function run (line 216) | inline void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typena...
  type gemv_dense_selector (line 306) | struct gemv_dense_selector
  function run (line 309) | void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest...
  type gemv_dense_selector (line 358) | struct gemv_dense_selector
  function run (line 361) | void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest...
  type gemv_dense_selector (line 372) | struct gemv_dense_selector
  function run (line 375) | void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/GenericPacketMath.h
  function namespace (line 16) | namespace Eigen {
  function Packet (line 468) | inline Packet run(const Packet& a, const Packet& b, Op op) {
  function PropagateNaN (line 476) | struct pminmax_impl<PropagateNaN> {
  function PropagateNumbers (line 491) | struct pminmax_impl<PropagateNumbers> {
  function Packet (line 513) | inline Packet
  function Packet (line 519) | inline Packet pmin(const Packet& a, const Packet& b) {
  function Packet (line 525) | inline Packet
  function Packet (line 531) | inline Packet pmax(const Packet& a, const Packet& b) {
  function Packet (line 536) | inline Packet
  function pabs (line 538) | inline unsigned int
  function pabs (line 540) | inline unsigned long
  function pabs (line 542) | inline unsigned long long
  function Packet (line 546) | inline Packet
  function Packet (line 552) | inline Packet
  function parithmetic_shift_right (line 557) | inline int
  function parithmetic_shift_right (line 559) | inline long int
  function plogical_shift_right (line 563) | inline int
  function plogical_shift_right (line 565) | inline long int
  function plogical_shift_left (line 569) | inline int
  function plogical_shift_left (line 571) | inline long int
  function Packet (line 578) | inline Packet pfrexp(const Packet& a, Packet& exponent) {
  function Packet (line 589) | inline Packet
  function Packet (line 596) | inline Packet
  function Packet (line 600) | inline Packet
  function Packet (line 604) | inline Packet
  function Packet (line 616) | inline Packet
  function Packet (line 624) | inline Packet
  function EIGEN_STRONG_INLINE (line 632) | EIGEN_STRONG_INLINE Packet
  function Packet (line 641) | inline Packet
  function pbroadcast4 (line 655) | inline void pbroadcast4(const typename unpacket_traits<Packet>::type *a,
  function pbroadcast2 (line 672) | inline void pbroadcast2(const typename unpacket_traits<Packet>::type *a,
  function EIGEN_STRONG_INLINE (line 680) | EIGEN_STRONG_INLINE Packet
  function Packet (line 685) | inline Packet
  function pstore (line 698) | inline void pstore(Scalar* to, const Packet& from)
  function pstoreu (line 702) | inline void pstoreu(Scalar* to, const Packet& from)
  function Packet (line 714) | inline Packet pgather(const Scalar* from, Index /*stride*/)
  function pscatter (line 717) | inline void pscatter(Scalar* to, const Packet& from, Index /*stride*/)
  function prefetch (line 721) | inline void prefetch(const Scalar* addr)
  function Packet (line 739) | inline Packet preverse(const Packet& a)
  function Packet (line 743) | inline Packet pcplxflip(const Packet& a)
  function Packet (line 754) | Packet psin(const Packet& a) { EIGEN_USING_STD(sin); return sin(a); }
  function Packet (line 758) | Packet pcos(const Packet& a) { EIGEN_USING_STD(cos); return cos(a); }
  function Packet (line 762) | Packet ptan(const Packet& a) { EIGEN_USING_STD(tan); return tan(a); }
  function Packet (line 766) | Packet pasin(const Packet& a) { EIGEN_USING_STD(asin); return asin(a); }
  function Packet (line 770) | Packet pacos(const Packet& a) { EIGEN_USING_STD(acos); return acos(a); }
  function Packet (line 774) | Packet patan(const Packet& a) { EIGEN_USING_STD(atan); return atan(a); }
  function Packet (line 778) | Packet psinh(const Packet& a) { EIGEN_USING_STD(sinh); return sinh(a); }
  function Packet (line 782) | Packet pcosh(const Packet& a) { EIGEN_USING_STD(cosh); return cosh(a); }
  function Packet (line 786) | Packet ptanh(const Packet& a) { EIGEN_USING_STD(tanh); return tanh(a); }
  function Packet (line 790) | Packet pexp(const Packet& a) { EIGEN_USING_STD(exp); return exp(a); }
  function Packet (line 794) | Packet pexpm1(const Packet& a) { return numext::expm1(a); }
  function Packet (line 798) | Packet plog(const Packet& a) { EIGEN_USING_STD(log); return log(a); }
  function Packet (line 802) | Packet plog1p(const Packet& a) { return numext::log1p(a); }
  function Packet (line 806) | Packet plog10(const Packet& a) { EIGEN_USING_STD(log10); return log10(a); }
  function Packet (line 810) | Packet plog2(const Packet& a) {
  function Packet (line 817) | Packet psqrt(const Packet& a) { return numext::sqrt(a); }
  function Packet (line 821) | Packet prsqrt(const Packet& a) {
  function Packet (line 828) | Packet pround(const Packet& a) { using numext::round; return round(a); }
  function Packet (line 832) | Packet pfloor(const Packet& a) { using numext::floor; return floor(a); }
  function Packet (line 837) | Packet print(const Packet& a) { using numext::rint; return rint(a); }
  function Packet (line 841) | Packet pceil(const Packet& a) { using numext::ceil; return ceil(a); }
  function typename (line 845) | inline typename unpacket_traits<Packet>::type
  function typename (line 860) | inline typename unpacket_traits<Packet>::type
  function typename (line 876) | inline typename unpacket_traits<Packet>::type
  function typename (line 884) | inline typename unpacket_traits<Packet>::type predux_mul(
  function typename (line 892) | inline typename unpacket_traits<Packet>::type predux_min(
  function typename (line 899) | inline typename unpacket_traits<Packet>::type predux_min(
  function typename (line 907) | inline typename unpacket_traits<Packet>::type predux_max(
  function typename (line 914) | inline typename unpacket_traits<Packet>::type predux_max(
  function predux_any (line 932) | inline bool predux_any(const Packet& a)
  function pstore1 (line 951) | void pstore1(typename unpacket_traits<Packet>::type* to, const typename ...
  function Packet (line 957) | inline Packet
  function EIGEN_ALWAYS_INLINE (line 966) | EIGEN_ALWAYS_INLINE Packet ploadt(const typename unpacket_traits<Packet>...
  function pstoret (line 977) | void pstoret(Scalar* to, const Packet& from)
  function EIGEN_ALWAYS_INLINE (line 991) | EIGEN_ALWAYS_INLINE Packet ploadt_ro(const typename unpacket_traits<Pack...
  function ptranspose (line 1020) | inline void
  function Packet (line 1033) | inline Packet

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/GlobalFunctions.h
  function namespace (line 56) | namespace Eigen

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/IO.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 116) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/IndexedView.h
  function namespace (line 15) | namespace Eigen {
  function Index (line 127) | Index rows() const { return internal::size(m_rowIndices); }
  function typename (line 137) | typename internal::remove_reference<XprType>::type&
  function namespace (line 162) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Inverse.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 75) | typedef typename XprType::Scalar Scalar;
  function namespace (line 82) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Map.h
  function namespace (line 16) | namespace Eigen {
  type PointerType (line 105) | typedef PointerType PointerArgType;
  function EIGEN_DEVICE_FUNC (line 106) | EIGEN_DEVICE_FUNC
  function Index (line 110) | inline Index innerStride() const
  function EIGEN_DEVICE_FUNC (line 130) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 142) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 155) | EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/MapBase.h
  function namespace (line 20) | namespace Eigen {
  type typename (line 233) | typedef typename Base::Scalar Scalar;
  type typename (line 234) | typedef typename Base::PacketScalar PacketScalar;
  type typename (line 235) | typedef typename Base::StorageIndex StorageIndex;
  type typename (line 236) | typedef typename Base::PointerType PointerType;
  type typename (line 250) | typedef typename internal::conditional<
  function EIGEN_DEVICE_FUNC (line 256) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 258) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 261) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 267) | EIGEN_DEVICE_FUNC
  function writePacket (line 275) | void writePacket(Index row, Index col, const PacketScalar& val)
  function writePacket (line 282) | void writePacket(Index index, const PacketScalar& val)
  function EIGEN_DEVICE_FUNC (line 289) | EIGEN_DEVICE_FUNC explicit inline MapBase(PointerType dataPtr) : Base(da...
  function EIGEN_DEVICE_FUNC (line 290) | EIGEN_DEVICE_FUNC inline MapBase(PointerType dataPtr, Index vecSize) : B...
  function EIGEN_DEVICE_FUNC (line 291) | EIGEN_DEVICE_FUNC inline MapBase(PointerType dataPtr, Index rows, Index ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/MathFunctions.h
  function namespace (line 22) | namespace Eigen {
  type Scalar (line 825) | typedef Scalar type;
  function Scalar (line 838) | static inline Scalar run()
  type typename (line 899) | typedef typename make_unsigned<Scalar>::type ScalarU;
  type typename (line 903) | typedef typename conditional<(ScalarU(-1) > unsigned(-1)), ScalarU, unsi...
  function Scalar (line 921) | static inline Scalar run()
  function Scalar (line 944) | static inline Scalar run()
  function isinf_impl (line 1004) | bool>::type
  function isinf_msvc_helper (line 1036) | bool isinf_msvc_helper(T x)
  function EIGEN_DEVICE_FUNC (line 1042) | EIGEN_DEVICE_FUNC inline bool isnan_impl(const long double& x) { return ...
  function EIGEN_DEVICE_FUNC (line 1043) | EIGEN_DEVICE_FUNC inline bool isnan_impl(const double& x)      { return ...
  function EIGEN_DEVICE_FUNC (line 1044) | EIGEN_DEVICE_FUNC inline bool isnan_impl(const float& x)       { return ...
  function EIGEN_DEVICE_FUNC (line 1046) | EIGEN_DEVICE_FUNC inline bool isinf_impl(const long double& x) { return ...
  function EIGEN_DEVICE_FUNC (line 1047) | EIGEN_DEVICE_FUNC inline bool isinf_impl(const double& x)      { return ...
  function EIGEN_DEVICE_FUNC (line 1048) | EIGEN_DEVICE_FUNC inline bool isinf_impl(const float& x)       { return ...
  function isnan_impl (line 1060) | bool isnan_impl(const long double& x) { return __builtin_isnan(x); }
  function isnan_impl (line 1061) | bool isnan_impl(const double& x)      { return __builtin_isnan(x); }
  function isnan_impl (line 1062) | bool isnan_impl(const float& x)       { return __builtin_isnan(x); }
  function isinf_impl (line 1063) | bool isinf_impl(const double& x)      { return __builtin_isinf(x); }
  function isinf_impl (line 1064) | bool isinf_impl(const float& x)       { return __builtin_isinf(x); }
  function isinf_impl (line 1065) | bool isinf_impl(const long double& x) { return __builtin_isinf(x); }
  function namespace (line 1085) | namespace numext {
  function floor (line 1419) | float floor(const float &x) { return ::floorf(x); }
  function floor (line 1422) | double floor(const double &x) { return ::floor(x); }
  function ceil (line 1439) | float ceil(const float &x) { return ::ceilf(x); }
  function ceil (line 1442) | double ceil(const double &x) { return ::ceil(x); }
  function log2 (line 1448) | inline int log2(int x)
  function log (line 1507) | float log(const float &x) { return ::logf(x); }
  function log (line 1510) | double log(const double &x) { return ::log(x); }
  function typename (line 1523) | typename NumTraits<T>::Real>::type
  function abs (line 1535) | float abs(const float &x) { return ::fabsf(x); }
  function abs (line 1538) | double abs(const double &x) { return ::fabs(x); }
  function exp (line 1564) | float exp(const float &x) { return ::expf(x); }
  function exp (line 1567) | double exp(const double &x) { return ::exp(x); }
  function expm1 (line 1599) | float expm1(const float &x) { return ::expm1f(x); }
  function expm1 (line 1602) | double expm1(const double &x) { return ::expm1(x); }
  function cos (line 1618) | float cos(const float &x) { return ::cosf(x); }
  function cos (line 1621) | double cos(const double &x) { return ::cos(x); }
  function sin (line 1637) | float sin(const float &x) { return ::sinf(x); }
  function sin (line 1640) | double sin(const double &x) { return ::sin(x); }
  function tan (line 1656) | float tan(const float &x) { return ::tanf(x); }
  function tan (line 1659) | double tan(const double &x) { return ::tan(x); }
  function EIGEN_ALWAYS_INLINE (line 1671) | EIGEN_ALWAYS_INLINE
  function acos (line 1685) | float acos(const float &x) { return ::acosf(x); }
  function acos (line 1688) | double acos(const double &x) { return ::acos(x); }
  function EIGEN_ALWAYS_INLINE (line 1700) | EIGEN_ALWAYS_INLINE
  function asin (line 1714) | float asin(const float &x) { return ::asinf(x); }
  function asin (line 1717) | double asin(const double &x) { return ::asin(x); }
  function EIGEN_ALWAYS_INLINE (line 1729) | EIGEN_ALWAYS_INLINE
  function atan (line 1743) | float atan(const float &x) { return ::atanf(x); }
  function atan (line 1746) | double atan(const double &x) { return ::atan(x); }
  function cosh (line 1763) | float cosh(const float &x) { return ::coshf(x); }
  function cosh (line 1766) | double cosh(const double &x) { return ::cosh(x); }
  function sinh (line 1782) | float sinh(const float &x) { return ::sinhf(x); }
  function sinh (line 1785) | double sinh(const double &x) { return ::sinh(x); }
  function tanh (line 1797) | float tanh(float x) { return internal::generic_fast_tanh_float(x); }
  function tanh (line 1806) | float tanh(const float &x) { return ::tanhf(x); }
  function tanh (line 1809) | double tanh(const double &x) { return ::tanh(x); }
  function fmod (line 1826) | float fmod(const float& a, const float& b) {
  function fmod (line 1832) | double fmod(const double& a, const double& b) {
  function namespace (line 1856) | namespace internal {
  type typename (line 1909) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function isMuchSmallerThan (line 1911) | static inline bool isMuchSmallerThan(const Scalar& x, const Scalar&, con...
  function EIGEN_DEVICE_FUNC (line 1915) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 1920) | EIGEN_DEVICE_FUNC
  type typename (line 1930) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function isMuchSmallerThan (line 1932) | static inline bool isMuchSmallerThan(const Scalar& x, const OtherScalar&...
  function EIGEN_DEVICE_FUNC (line 1936) | EIGEN_DEVICE_FUNC
  function isMuchSmallerThan (line 1947) | bool isMuchSmallerThan(const Scalar& x, const OtherScalar& y,
  function isApprox (line 1954) | bool isApprox(const Scalar& x, const Scalar& y,
  function isApproxOrLessThan (line 1961) | bool isApproxOrLessThan(const Scalar& x, const Scalar& y,
  function bool (line 1971) | struct random_impl<bool>
  function bool (line 1984) | struct scalar_fuzzy_impl<bool>
  function namespace (line 2011) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/MathFunctionsImpl.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Matrix.h
  function namespace (line 16) | namespace Eigen {
  type PlainObjectBase (line 188) | typedef PlainObjectBase<Matrix> Base;
  function EIGEN_STRONG_INLINE (line 267) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 293) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 319) | EIGEN_STRONG_INLINE Matrix(const std::initializer_list<std::initializer_...
  function EIGEN_STRONG_INLINE (line 326) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 333) | EIGEN_STRONG_INLINE
  function Base (line 408) | Matrix(const Matrix& other) : Base(other)
  function EIGEN_STRONG_INLINE (line 416) | EIGEN_STRONG_INLINE Matrix(const EigenBase<OtherDerived> &other)
  type internal (line 441) | struct internal

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/MatrixBase.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/NestByValue.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/NoAlias.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/NumTraits.h
  function namespace (line 15) | namespace Eigen {
  function run (line 58) | static int run() { return std::numeric_limits<T>::digits; }
  function EIGEN_CONSTEXPR (line 64) | EIGEN_CONSTEXPR
  function EIGEN_CONSTEXPR (line 76) | EIGEN_CONSTEXPR
  function namespace (line 82) | namespace numext {
  type T (line 168) | typedef T Real;
  type typename (line 169) | typedef typename internal::conditional<
  type T (line 174) | typedef T Nested;
  type T (line 175) | typedef T Literal;
  function Real (line 178) | static inline Real epsilon()
  function digits10 (line 184) | static inline int digits10()
  function digits (line 190) | static inline int digits()
  function min_exponent (line 196) | static inline int min_exponent()
  function max_exponent (line 202) | static inline int max_exponent()
  function Real (line 208) | static inline Real dummy_precision()
  function T (line 215) | static inline T highest() {
  function T (line 220) | static inline T lowest()  {
  function T (line 226) | static inline T infinity() {
  function T (line 231) | static inline T quiet_NaN() {
  type NumTraits (line 239) | struct NumTraits
  function dummy_precision (line 243) | static inline float dummy_precision() { return 1e-5f; }
  type NumTraits (line 246) | struct NumTraits
  function dummy_precision (line 249) | static inline double dummy_precision() { return 1e-12; }
  type NumTraits (line 252) | struct NumTraits
  function dummy_precision (line 256) | double dummy_precision() { return 1e-15l; }
  type Real_ (line 262) | typedef Real_ Real;
  type typename (line 263) | typedef typename NumTraits<Real_>::Literal Literal;
  function Real (line 273) | static inline Real epsilon() { return NumTraits<Real>::epsilon(); }
  function Real (line 275) | static inline Real dummy_precision() { return NumTraits<Real>::dummy_pre...
  function digits10 (line 277) | static inline int digits10() { return NumTraits<Real>::digits10(); }
  type typename (line 284) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type Array (line 285) | typedef Array<RealScalar, Rows, Cols, Options, MaxRows, MaxCols> Real;
  type typename (line 286) | typedef typename NumTraits<Scalar>::NonInteger NonIntegerScalar;
  type Array (line 287) | typedef Array<NonIntegerScalar, Rows, Cols, Options, MaxRows, MaxCols> N...
  type ArrayType (line 288) | typedef ArrayType & Nested;
  type typename (line 289) | typedef typename NumTraits<Scalar>::Literal Literal;
  function RealScalar (line 302) | static inline RealScalar epsilon() { return NumTraits<RealScalar>::epsil...
  function RealScalar (line 304) | static inline RealScalar dummy_precision() { return NumTraits<RealScalar...
  function EIGEN_CONSTEXPR (line 306) | EIGEN_CONSTEXPR
  function string (line 310) | struct NumTraits<std::string>
  function void (line 333) | struct NumTraits<void> {}
  type NumTraits (line 335) | struct NumTraits

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/PartialReduxEvaluator.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 112) | typedef typename redux_traits<Func, Evaluator>::PacketType PacketScalar;
  function PacketType (line 116) | static PacketType run(const Evaluator &eval, const Func& func, Index size)
  type typename (line 143) | typedef typename internal::nested_eval<ArgType,1>::type ArgTypeNested;
  type typename (line 144) | typedef typename internal::add_const_on_value_type<ArgTypeNested>::type ...
  type typename (line 145) | typedef typename internal::remove_all<ArgTypeNested>::type ArgTypeNested...
  type typename (line 146) | typedef typename ArgType::Scalar InputScalar;
  type typename (line 147) | typedef typename XprType::Scalar Scalar;
  type typename (line 151) | typedef typename MemberOp::template Cost<int(TraversalSize)> CostOpType;
  function EIGEN_DEVICE_FUNC (line 172) | EIGEN_DEVICE_FUNC explicit evaluator(const XprType xpr)
  type typename (line 179) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  function Scalar (line 182) | const Scalar coeff(Index i, Index j) const
  function Scalar (line 188) | const Scalar coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 194) | EIGEN_STRONG_INLINE
  function EIGEN_DEVICE_FUNC (line 201) | EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/PermutationMatrix.h
  function namespace (line 16) | namespace Eigen {
  type internal (line 302) | typedef internal::traits<PermutationMatrix> Traits;
  type typename (line 308) | typedef typename Traits::IndicesType IndicesType;
  type typename (line 309) | typedef typename Traits::StorageIndex StorageIndex;
  function explicit (line 317) | explicit inline PermutationMatrix(Index size) : m_indices(size)
  function m_indices (line 335) | inline PermutationMatrix(const MatrixBase<Other>& indices) : m_indices(i...
  function namespace (line 393) | namespace internal {
  type internal (line 410) | typedef internal::traits<Map> Traits;
  type typename (line 414) | typedef typename Traits::IndicesType IndicesType;
  type typename (line 415) | typedef typename IndicesType::Scalar StorageIndex;
  function m_indices (line 418) | inline Map(const StorageIndex* indicesPtr)
  function namespace (line 458) | namespace internal {
  type internal (line 491) | typedef internal::traits<PermutationWrapper> Traits;
  type typename (line 495) | typedef typename Traits::IndicesType IndicesType;
  function m_indices (line 498) | inline PermutationWrapper(const IndicesType& indices)
  type internal (line 542) | typedef internal::traits<PermutationType> PermTraits;
  type typename (line 550) | typedef typename PermutationType::DenseMatrixType DenseMatrixType;
  function namespace (line 599) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/PlainObjectBase.h
  function namespace (line 29) | namespace internal {
  function namespace (line 64) | namespace doxygen {
  type typename (line 105) | typedef typename internal::dense_xpr_base<Derived>::type Base;
  type typename (line 107) | typedef typename internal::traits<Derived>::StorageKind StorageKind;
  type typename (line 108) | typedef typename internal::traits<Derived>::Scalar Scalar;
  type typename (line 110) | typedef typename internal::packet_traits<Scalar>::type PacketScalar;
  type typename (line 111) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type Derived (line 112) | typedef Derived DenseType;
  type Eigen (line 123) | typedef Eigen::Map<Derived, Unaligned>  MapType;
  type Eigen (line 124) | typedef const Eigen::Map<const Derived, Unaligned> ConstMapType;
  type Eigen (line 125) | typedef Eigen::Map<Derived, AlignedMax> AlignedMapType;
  type Eigen (line 126) | typedef const Eigen::Map<const Derived, AlignedMax> ConstAlignedMapType;
  type Eigen (line 127) | typedef Eigen::Map<Derived, Unaligned, StrideType> type;
  type Eigen (line 128) | typedef Eigen::Map<const Derived, Unaligned, StrideType> type;
  type Eigen (line 129) | typedef Eigen::Map<Derived, AlignedMax, StrideType> type;
  type Eigen (line 130) | typedef Eigen::Map<const Derived, AlignedMax, StrideType> type;
  function Scalar (line 177) | const Scalar& coeff(Index index) const
  function Scalar (line 208) | const Scalar& coeffRef(Index rowId, Index colId) const
  function Scalar (line 219) | const Scalar& coeffRef(Index index) const
  function PacketScalar (line 226) | PacketScalar packet(Index rowId, Index colId) const
  function PacketScalar (line 236) | PacketScalar packet(Index index) const
  function writePacket (line 243) | void writePacket(Index rowId, Index colId, const PacketScalar& val)
  function writePacket (line 253) | void writePacket(Index index, const PacketScalar& val)
  function Scalar (line 259) | const Scalar *data() const
  function Scalar (line 263) | Scalar *data()
  function resize (line 283) | void resize(Index rows, Index cols)
  function EIGEN_DEVICE_FUNC (line 312) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 337) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 351) | EIGEN_DEVICE_FUNC
  function conservativeResize (line 394) | void conservativeResize(Index rows, Index cols)
  function conservativeResize (line 407) | void conservativeResize(Index rows, NoChange_t)
  function conservativeResize (line 421) | void conservativeResize(NoChange_t, Index cols)
  function conservativeResize (line 436) | void conservativeResize(Index size)
  function EIGEN_DEVICE_FUNC (line 496) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 505) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 523) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 542) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 560) | EIGEN_STRONG_INLINE PlainObjectBase(const std::initializer_list<std::ini...
  function _init2 (line 827) | void _init2(const Index& val0, const Index& val1,
  function _init1 (line 865) | void _init1(const Index& val0,
  function _init1 (line 878) | void _init1(const Scalar* data){
  function _init1 (line 892) | void _init1(const Derived& other){
  function EIGEN_STRONG_INLINE (line 913) | EIGEN_STRONG_INLINE void _init1(const RotationBase<OtherDerived,ColsAtCo...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Product.h
  function namespace (line 15) | namespace Eigen {
  type Rhs_ (line 81) | typedef Rhs_ Rhs;
  type typename (line 83) | typedef typename ProductImpl<
  type typename (line 91) | typedef typename internal::ref_selector<Rhs>::type RhsNested;
  type typename (line 92) | typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned;
  type typename (line 93) | typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned;
  function namespace (line 119) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/ProductEvaluators.h
  function namespace (line 18) | namespace Eigen {
  type evaluator (line 58) | typedef evaluator<Product<EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1...
  function explicit (line 60) | explicit evaluator(const XprType& xpr)
  type evaluator (line 71) | typedef evaluator<Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagInd...
  function explicit (line 73) | explicit evaluator(const XprType& xpr)
  type typename (line 102) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 103) | typedef evaluator<PlainObject> Base;
  function explicit (line 109) | explicit product_evaluator(const XprType& xpr)
  function run (line 143) | void run(DstXprType &dst, const SrcXprType &src, const internal::assign_...
  function run (line 161) | void run(DstXprType &dst, const SrcXprType &src, const internal::add_ass...
  function run (line 176) | void run(DstXprType &dst, const SrcXprType &src, const internal::sub_ass...
  function run (line 196) | void run(DstXprType &dst, const SrcXprType &src, const AssignFunc& func)
  function addTo (line 257) | void addTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
  function subTo (line 263) | void subTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
  type typename (line 545) | typedef typename find_best_packet<Scalar,RowsAtCompileTime>::type LhsVec...
  type typename (line 546) | typedef typename find_best_packet<Scalar,ColsAtCompileTime>::type RhsVec...
  function CoeffReturnType (line 606) | const CoeffReturnType coeff(Index row, Index col) const
  function CoeffReturnType (line 616) | const CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 624) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 636) | EIGEN_STRONG_INLINE
  type Product (line 659) | typedef Product<Lhs, Rhs, DefaultProduct> XprType;
  type Product (line 660) | typedef Product<Lhs, Rhs, LazyProduct> BaseProduct;
  type product_evaluator (line 661) | typedef product_evaluator<BaseProduct, CoeffBasedProductMode, DenseShape...
  function explicit (line 666) | explicit product_evaluator(const XprType& xpr)
  function run (line 678) | void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index inn...
  function run (line 688) | void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index inn...
  function run (line 698) | void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index /*i...
  function run (line 707) | void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index /*i...
  function run (line 716) | void run(Index /*row*/, Index /*col*/, const Lhs& /*lhs*/, const Rhs& /*...
  function run (line 725) | void run(Index /*row*/, Index /*col*/, const Lhs& /*lhs*/, const Rhs& /*...
  function run (line 734) | void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index inn...
  function run (line 745) | void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index inn...
  type typename (line 766) | typedef typename Product<Lhs,Rhs>::Scalar Scalar;
  type typename (line 780) | typedef typename Product<Lhs,Rhs>::Scalar Scalar;
  type typename (line 801) | typedef typename Product<Lhs,Rhs>::Scalar Scalar;
  function scaleAndAddTo (line 805) | void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scal...
  type typename (line 815) | typedef typename Product<Lhs,Rhs>::Scalar Scalar;
  type typename (line 833) | typedef typename ScalarBinaryOpTraits<typename MatrixType::Scalar, typename
  function EIGEN_DEVICE_FUNC (line 864) | EIGEN_DEVICE_FUNC diagonal_product_evaluator_base(const MatrixType &mat,...
  function Scalar (line 871) | const Scalar coeff(Index idx) const
  function PacketType (line 881) | PacketType packet_impl(Index row, Index col, Index id, internal::true_ty...
  function PacketType (line 888) | PacketType packet_impl(Index row, Index col, Index id, internal::false_t...
  type diagonal_product_evaluator_base (line 907) | typedef diagonal_product_evaluator_base<Rhs, typename
  type typename (line 911) | typedef typename Base::Scalar Scalar;
  type Product (line 913) | typedef Product<Lhs, Rhs, ProductKind> XprType;
  type typename (line 914) | typedef typename XprType::PlainObject PlainObject;
  type typename (line 915) | typedef typename Lhs::DiagonalVectorType DiagonalType;
  function EIGEN_DEVICE_FUNC (line 920) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  function Scalar (line 925) | const Scalar coeff(Index row, Index col) const
  function PacketType (line 932) | PacketType packet(Index row, Index col) const
  function PacketType (line 941) | PacketType packet(Index idx) const
  type diagonal_product_evaluator_base (line 953) | typedef diagonal_product_evaluator_base<Lhs, typename
  type typename (line 957) | typedef typename Base::Scalar Scalar;
  type Product (line 959) | typedef Product<Lhs, Rhs, ProductKind> XprType;
  type typename (line 960) | typedef typename XprType::PlainObject PlainObject;
  function EIGEN_DEVICE_FUNC (line 964) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  function Scalar (line 969) | const Scalar coeff(Index row, Index col) const
  function PacketType (line 976) | PacketType packet(Index row, Index col) const
  function PacketType (line 983) | PacketType packet(Index idx) const
  type typename (line 1005) | typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
  type typename (line 1006) | typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
  function run (line 1009) | void run(Dest& dst, const PermutationType& perm, const ExpressionType& xpr)
  type typename (line 1113) | typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
  type typename (line 1114) | typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
  function run (line 1117) | void run(Dest& dst, const TranspositionType& tr, const ExpressionType& xpr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Random.h
  function namespace (line 17) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Redux.h
  function namespace (line 18) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Ref.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 66) | typedef typename internal::traits<Derived>::StrideType StrideType;
  type MapBase (line 69) | typedef MapBase<Derived> Base;
  function EIGEN_CONSTEXPR (line 72) | EIGEN_CONSTEXPR inline Index innerStride() const
  function Index (line 99) | Index resolveInnerStride(Index inner) {
  function Index (line 104) | Index resolveOuterStride(Index inner, Index outer, Index rows, Index col...
  type RefBase (line 337) | typedef RefBase<Ref> Base;
  function EIGEN_DEVICE_FUNC (line 350) | EIGEN_DEVICE_FUNC inline Ref(const Ref& other) : Base(other) {
  function construct (line 362) | void construct(const Expression& expr,internal::true_type)
  function construct (line 371) | void construct(const Expression& expr, internal::false_type)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Replicate.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 66) | typedef typename internal::traits<Replicate>::MatrixTypeNested MatrixTyp...
  type typename (line 67) | typedef typename internal::traits<Replicate>::_MatrixTypeNested _MatrixT...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Reshaped.h
  function namespace (line 16) | namespace Eigen {
  function EIGEN_INHERIT_ASSIGNMENT_OPERATORS (line 105) | EIGEN_GENERIC_PUBLIC_INTERFACE(Reshaped)
  function EIGEN_DEVICE_FUNC (line 120) | EIGEN_DEVICE_FUNC
  function Impl (line 141) | inline ReshapedImpl(XprType& xpr) : Impl(xpr) {}
  function EIGEN_DEVICE_FUNC (line 142) | EIGEN_DEVICE_FUNC inline ReshapedImpl(XprType& xpr, Index reshapeRows, I...
  function namespace (line 146) | namespace internal {
  function EIGEN_DEVICE_FUNC (line 185) | EIGEN_DEVICE_FUNC inline Index innerStride() const;
  function EIGEN_DEVICE_FUNC (line 229) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 241) | EIGEN_DEVICE_FUNC
  type typename (line 271) | typedef typename XprType::Scalar Scalar;
  type typename (line 273) | typedef typename packet_traits<Scalar>::type PacketScalar;
  type reshaped_evaluator (line 298) | typedef reshaped_evaluator<ArgType, Rows, Cols, Order, HasDirectAccess> ...
  function EIGEN_DEVICE_FUNC (line 299) | EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr) : reshaped_eval...
  function EIGEN_DEVICE_FUNC (line 319) | EIGEN_DEVICE_FUNC explicit reshaped_evaluator(const XprType& xpr) : m_ar...
  type typename (line 324) | typedef typename XprType::Scalar Scalar;
  type typename (line 325) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type std (line 327) | typedef std::pair<Index, Index> RowCol;
  function RowCol (line 329) | inline RowCol index_remap(Index rowId, Index colId) const
  function EIGEN_DEVICE_FUNC (line 345) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 353) | EIGEN_DEVICE_FUNC
  function CoeffReturnType (line 361) | const CoeffReturnType coeff(Index rowId, Index colId) const
  function EIGEN_DEVICE_FUNC (line 367) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 377) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 385) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 393) | EIGEN_DEVICE_FUNC
  function writePacket (line 404) | inline void writePacket(Index rowId, Index colId, const PacketScalar& val)
  function PacketScalar (line 413) | inline PacketScalar packet(Index index) const
  function writePacket (line 422) | inline void writePacket(Index index, const PacketScalar& val)
  type typename (line 442) | typedef typename XprType::Scalar Scalar;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/ReturnByValue.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 58) | typedef typename internal::dense_xpr_base<ReturnByValue>::type Base;
  function evalTo (line 63) | inline void evalTo(Dest& dst) const
  function class (line 72) | class Unusable{
  function namespace (line 92) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Reverse.h
  function namespace (line 17) | namespace Eigen {
  type internal (line 87) | typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> revers...
  function m_matrix (line 90) | inline Reverse(const MatrixType& matrix) : m_matrix(matrix) { }
  function EIGEN_CONSTEXPR (line 94) | EIGEN_CONSTEXPR
  function reverseInPlace (line 143) | inline void DenseBase<Derived>::reverseInPlace()
  function namespace (line 167) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Select.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 77) | inline EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 86) | inline EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/SelfAdjointView.h
  function namespace (line 15) | namespace Eigen {
  type TriangularBase (line 58) | typedef TriangularBase<SelfAdjointView> Base;
  type typename (line 59) | typedef typename internal::traits<SelfAdjointView>::MatrixTypeNested Mat...
  type typename (line 60) | typedef typename internal::traits<SelfAdjointView>::MatrixTypeNestedClea...
  type MatrixTypeNestedCleaned (line 61) | typedef MatrixTypeNestedCleaned NestedExpression;
  type typename (line 64) | typedef typename internal::traits<SelfAdjointView>::Scalar Scalar;
  type typename (line 65) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 66) | typedef typename internal::remove_all<typename
  type SelfAdjointView (line 67) | typedef SelfAdjointView<typename
  type typename (line 74) | typedef typename MatrixType::PlainObject PlainObject;
  function m_matrix (line 77) | inline SelfAdjointView(MatrixType& matrix) : m_matrix(matrix) { }
  function EIGEN_DEVICE_FUNC (line 91) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 101) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 115) | EIGEN_DEVICE_FUNC
  type SelfAdjointView (line 195) | typedef SelfAdjointView<const MatrixConjugateReturnType,UpLo> ConjugateR...
  function EIGEN_DEVICE_FUNC (line 197) | EIGEN_DEVICE_FUNC
  type typename (line 297) | typedef typename Base::DstXprType DstXprType;
  type typename (line 298) | typedef typename Base::SrcXprType SrcXprType;
  type typename (line 305) | typedef typename Base::SrcEvaluatorType SrcEvaluatorType;
  type typename (line 306) | typedef typename Base::Scalar Scalar;
  type typename (line 307) | typedef typename Base::AssignmentTraits AssignmentTraits;
  function EIGEN_DEVICE_FUNC (line 310) | EIGEN_DEVICE_FUNC triangular_dense_assignment_kernel(DstEvaluatorType &d...
  function EIGEN_DEVICE_FUNC (line 314) | EIGEN_DEVICE_FUNC void assignCoeff(Index row, Index col)
  function EIGEN_DEVICE_FUNC (line 322) | EIGEN_DEVICE_FUNC void assignDiagonalCoeff(Index id)
  function EIGEN_DEVICE_FUNC (line 327) | EIGEN_DEVICE_FUNC void assignOppositeCoeff(Index, Index)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/SelfCwiseBinaryOp.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Solve.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 68) | typedef typename internal::traits<Solve>::StorageIndex StorageIndex;
  function namespace (line 112) | namespace internal {
  type Solve (line 141) | typedef Solve<DecType,RhsType> SrcXprType;
  function run (line 142) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  type Solve (line 157) | typedef Solve<Transpose<const DecType>,RhsType> SrcXprType;
  function run (line 158) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 175) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/SolveTriangular.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 123) | static EIGEN_DEVICE_FUNC void run(const Lhs& lhs, Rhs& rhs)
  function EIGEN_DEVICE_FUNC (line 143) | static EIGEN_DEVICE_FUNC void run(const Lhs& lhs, Rhs& rhs)
  type typename (line 179) | typedef typename internal::conditional<copy,
  function namespace (line 199) | namespace internal {
  type ReturnByValue (line 212) | typedef ReturnByValue<triangular_solve_retval> Base;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/SolverBase.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 75) | typedef typename internal::traits<Derived>::Scalar Scalar;
  type Scalar (line 76) | typedef Scalar CoeffReturnType;
  type internal (line 79) | struct internal
  type typename (line 115) | typedef typename internal::add_const<Transpose<const Derived> >::type Co...
  function ConstTransposeReturnType (line 123) | inline ConstTransposeReturnType transpose() const
  function namespace (line 157) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/StableNorm.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/StlIterators.h
  function namespace (line 15) | namespace Eigen {
  function operator (line 80) | bool operator< (const indexed_based_stl_iterator_base& other) const { ei...
  function operator (line 82) | bool operator> (const indexed_based_stl_iterator_base& other) const { ei...
  function operator (line 87) | bool operator< (const other_iterator& other) const { eigen_assert(mp_xpr...
  function operator (line 89) | bool operator> (const other_iterator& other) const { eigen_assert(mp_xpr...
  type typename (line 106) | typedef typename traits::XprType XprType;
  type indexed_based_stl_reverse_iterator_base (line 107) | typedef indexed_based_stl_reverse_iterator_base<typename
  type indexed_based_stl_reverse_iterator_base (line 108) | typedef indexed_based_stl_reverse_iterator_base<typename
  type typename (line 109) | typedef typename internal::conditional<internal::is_const<XprType>::valu...
  type std (line 115) | typedef std::random_access_iterator_tag iterator_category;
  function operator (line 159) | bool operator< (const indexed_based_stl_reverse_iterator_base& other) co...
  function operator (line 161) | bool operator> (const indexed_based_stl_reverse_iterator_base& other) co...
  function operator (line 166) | bool operator< (const other_iterator& other) const { eigen_assert(mp_xpr...
  function operator (line 168) | bool operator> (const other_iterator& other) const { eigen_assert(mp_xpr...
  type pointer_based_stl_iterator (line 184) | typedef pointer_based_stl_iterator<typename
  type pointer_based_stl_iterator (line 185) | typedef pointer_based_stl_iterator<typename
  type typename (line 186) | typedef typename internal::conditional<internal::is_const<XprType>::valu...
  type typename (line 192) | typedef typename XprType::Scalar value_type;
  type std (line 193) | typedef std::random_access_iterator_tag iterator_category;
  type typename (line 194) | typedef typename internal::conditional<bool(is_lvalue), value_type*, const
  type typename (line 195) | typedef typename internal::conditional<bool(is_lvalue), value_type&, const
  function reference (line 215) | reference operator*()         const { return *m_ptr;   }
  function reference (line 216) | reference operator[](Index i) const { return *(m_ptr+i*m_incr.value()); }
  function pointer (line 217) | pointer   operator->()        const { return m_ptr;    }
  function operator (line 243) | bool operator< (const pointer_based_stl_iterator& other) const { return ...
  function operator (line 245) | bool operator> (const pointer_based_stl_iterator& other) const { return ...
  function operator (line 250) | bool operator< (const other_iterator& other) const { return m_ptr <  oth...
  function operator (line 252) | bool operator> (const other_iterator& other) const { return m_ptr >  oth...
  type XprType_ (line 264) | typedef XprType_ XprType;
  type generic_randaccess_stl_iterator (line 265) | typedef generic_randaccess_stl_iterator<typename
  type generic_randaccess_stl_iterator (line 266) | typedef generic_randaccess_stl_iterator<typename
  type indexed_based_stl_iterator_base (line 282) | typedef indexed_based_stl_iterator_base<generic_randaccess_stl_iterator>...
  type value_type (line 289) | typedef const value_type read_only_ref_t;
  type typename (line 294) | typedef typename internal::conditional<bool(is_lvalue), value_type&, rea...
  function Base (line 298) | generic_randaccess_stl_iterator(const typename Base::non_const_iterator&...
  function reference (line 301) | reference operator*()         const { return   (*mp_xpr)(m_index);   }
  function reference (line 302) | reference operator[](Index i) const { return   (*mp_xpr)(m_index+i); }
  function pointer (line 303) | pointer   operator->()        const { return &((*mp_xpr)(m_index)); }
  type subvector_stl_iterator (line 310) | typedef subvector_stl_iterator<typename
  type subvector_stl_iterator (line 311) | typedef subvector_stl_iterator<typename
  type indexed_based_stl_iterator_base (line 321) | typedef indexed_based_stl_iterator_base<subvector_stl_iterator> Base;
  type typename (line 325) | typedef typename internal::conditional<Direction==Vertical,typename
  type typename (line 326) | typedef typename internal::conditional<Direction==Vertical,typename
  type typename (line 331) | typedef typename reference::PlainObject value_type;
  function reference (line 349) | reference operator*()         const { return (*mp_xpr).template subVecto...
  function reference (line 350) | reference operator[](Index i) const { return (*mp_xpr).template subVecto...
  function pointer (line 351) | pointer   operator->()        const { return (*mp_xpr).template subVecto...
  type subvector_stl_reverse_iterator (line 358) | typedef subvector_stl_reverse_iterator<typename
  type subvector_stl_reverse_iterator (line 359) | typedef subvector_stl_reverse_iterator<typename
  type indexed_based_stl_reverse_iterator_base (line 369) | typedef indexed_based_stl_reverse_iterator_base<subvector_stl_reverse_it...
  type typename (line 373) | typedef typename internal::conditional<Direction==Vertical,typename
  type typename (line 374) | typedef typename internal::conditional<Direction==Vertical,typename
  type typename (line 379) | typedef typename reference::PlainObject value_type;
  function reference (line 397) | reference operator*()         const { return (*mp_xpr).template subVecto...
  function reference (line 398) | reference operator[](Index i) const { return (*mp_xpr).template subVecto...
  function pointer (line 399) | pointer   operator->()        const { return (*mp_xpr).template subVecto...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Stride.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Swap.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Transpose.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 95) | namespace internal {
  type typename (line 135) | typedef typename internal::conditional<
  function ScalarWithConstIfNotLvalue (line 142) | ScalarWithConstIfNotLvalue* data() { return derived().nestedExpression()...
  function Scalar (line 144) | const Scalar* data() const { return derived().nestedExpression().data(); }
  function Scalar (line 148) | const Scalar& coeffRef(Index rowId, Index colId) const
  function Scalar (line 154) | const Scalar& coeffRef(Index index) const
  function namespace (line 232) | namespace internal {
  type typename (line 251) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 252) | typedef typename internal::packet_traits<typename
  type typename (line 267) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 268) | typedef typename internal::packet_traits<typename
  type typename (line 305) | typedef typename MatrixType::Scalar Scalar;
  function transposeInPlace (line 346) | inline void DenseBase<Derived>::transposeInPlace()
  function adjointInPlace (line 377) | inline void MatrixBase<Derived>::adjointInPlace()
  function namespace (line 386) | namespace internal {
  function run (line 405) | static bool run(const Scalar* dest, const OtherDerived& src)
  function run (line 434) | static void run(const Derived& dst, const OtherDerived& other)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Transpositions.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 163) | typedef typename Traits::IndicesType IndicesType;
  type typename (line 164) | typedef typename IndicesType::Scalar StorageIndex;
  function m_indices (line 175) | inline Transpositions(const MatrixBase<Other>& indices) : m_indices(indi...
  function m_indices (line 187) | inline Transpositions(Index size) : m_indices(size)
  function EIGEN_DEVICE_FUNC (line 194) | EIGEN_DEVICE_FUNC
  function namespace (line 203) | namespace internal {
  type typename (line 222) | typedef typename Traits::IndicesType IndicesType;
  type typename (line 223) | typedef typename IndicesType::Scalar StorageIndex;
  function explicit (line 225) | explicit inline Map(const StorageIndex* indicesPtr)
  function EIGEN_DEVICE_FUNC (line 256) | EIGEN_DEVICE_FUNC
  function namespace (line 264) | namespace internal {
  type typename (line 281) | typedef typename Traits::IndicesType IndicesType;
  type typename (line 282) | typedef typename IndicesType::Scalar StorageIndex;
  function explicit (line 284) | explicit inline TranspositionsWrapper(IndicesType& indices)
  function EIGEN_DEVICE_FUNC (line 300) | EIGEN_DEVICE_FUNC
  function namespace (line 336) | namespace internal {
  type TranspositionsDerived (line 348) | typedef TranspositionsDerived TranspositionType;
  type typename (line 349) | typedef typename TranspositionType::IndicesType IndicesType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/TriangularMatrix.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 195) | typedef typename internal::traits<TriangularView>::Scalar Scalar;
  type MatrixType_ (line 196) | typedef MatrixType_ MatrixType;
  type typename (line 200) | typedef typename internal::traits<TriangularView>::MatrixTypeNestedNonRe...
  type typename (line 202) | typedef typename internal::remove_all<typename
  type TriangularView (line 203) | typedef TriangularView<typename
  type typename (line 208) | typedef typename internal::traits<TriangularView>::MatrixTypeNestedClean...
  function m_matrix (line 221) | inline TriangularView(MatrixType& matrix) : m_matrix(matrix)
  function EIGEN_CONSTEXPR (line 227) | EIGEN_CONSTEXPR
  function EIGEN_DEVICE_FUNC (line 238) | EIGEN_DEVICE_FUNC
  type TriangularView (line 241) | typedef TriangularView<const MatrixConjugateReturnType,Mode> ConjugateRe...
  function EIGEN_DEVICE_FUNC (line 243) | EIGEN_DEVICE_FUNC
  type TriangularBase (line 354) | typedef TriangularBase<TriangularViewType> Base;
  type typename (line 355) | typedef typename internal::traits<TriangularViewType>::Scalar Scalar;
  type MatrixType_ (line 357) | typedef MatrixType_ MatrixType;
  type typename (line 358) | typedef typename MatrixType::PlainObject DenseMatrixType;
  type DenseMatrixType (line 359) | typedef DenseMatrixType PlainObject;
  type typename (line 365) | typedef typename internal::traits<TriangularViewType>::StorageKind Stora...
  function EIGEN_DEVICE_FUNC (line 404) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 407) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 411) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 414) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 420) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 430) | EIGEN_DEVICE_FUNC
  function solveInPlace (line 524) | void solveInPlace(const MatrixBase<OtherDerived>& other) const
  function swap (line 533) | void swap(TriangularBase<OtherDerived> const & other)
  function namespace (line 719) | namespace internal {
  type evaluator (line 737) | typedef evaluator<typename
  function EIGEN_DEVICE_FUNC (line 738) | EIGEN_DEVICE_FUNC
  type Triangular2Triangular (line 743) | struct Triangular2Triangular    {}
  type Triangular2Dense (line 744) | struct Triangular2Dense         {}
  type Dense2Triangular (line 745) | struct Dense2Triangular         {}
  type typename (line 761) | typedef typename Base::DstXprType DstXprType;
  type typename (line 762) | typedef typename Base::SrcXprType SrcXprType;
  type typename (line 769) | typedef typename Base::SrcEvaluatorType SrcEvaluatorType;
  type typename (line 770) | typedef typename Base::Scalar Scalar;
  type typename (line 771) | typedef typename Base::AssignmentTraits AssignmentTraits;
  function EIGEN_DEVICE_FUNC (line 774) | EIGEN_DEVICE_FUNC triangular_dense_assignment_kernel(DstEvaluatorType &d...
  function EIGEN_DEVICE_FUNC (line 779) | EIGEN_DEVICE_FUNC void assignCoeff(Index row, Index col)
  function EIGEN_DEVICE_FUNC (line 788) | EIGEN_DEVICE_FUNC void assignDiagonalCoeff(Index id)
  function EIGEN_DEVICE_FUNC (line 795) | EIGEN_DEVICE_FUNC void assignOppositeCoeff(Index row, Index col)
  type evaluator (line 807) | typedef evaluator<DstXprType> DstEvaluatorType;
  type evaluator (line 808) | typedef evaluator<SrcXprType> SrcEvaluatorType;
  type triangular_dense_assignment_kernel (line 818) | typedef triangular_dense_assignment_kernel< Mode
  function Kernel (line 820) | Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived());
  type AssignmentKind (line 839) | struct AssignmentKind
  type Triangular2Dense (line 839) | typedef Triangular2Dense      Kind;
  type AssignmentKind (line 840) | struct AssignmentKind
  type Dense2Triangular (line 840) | typedef Dense2Triangular      Kind;
  type typename (line 878) | typedef typename DstEvaluatorType::XprType DstXprType;
  type typename (line 885) | typedef typename Kernel::Scalar Scalar;
  function namespace (line 960) | namespace internal {
  function run (line 983) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 994) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/VectorBlock.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/VectorwiseOp.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 106) | namespace internal {
  type typename (line 193) | typedef typename ExpressionType::RealScalar RealScalar;
  type Eigen (line 194) | typedef Eigen::Index Index;
  type typename (line 195) | typedef typename internal::ref_selector<ExpressionType>::non_const_type ...
  type typename (line 196) | typedef typename internal::remove_all<ExpressionTypeNested>::type Expres...
  type PartialReduxExpr (line 201) | typedef PartialReduxExpr<ExpressionType,
  type PartialReduxExpr (line 209) | typedef PartialReduxExpr<ExpressionType,
  type Replicate (line 223) | typedef Replicate<OtherDerived,
  type Replicate (line 246) | typedef Replicate<OtherDerived,
  function m_matrix (line 270) | inline VectorwiseOp(ExpressionType& matrix) : m_matrix(matrix) {}
  function EIGEN_DEVICE_FUNC (line 273) | EIGEN_DEVICE_FUNC
  function reverse_iterator (line 302) | reverse_iterator        rbegin()       { return reverse_iterator       (...
  function iterator (line 311) | iterator                 end()         { return iterator      (m_matrix,...
  function reverse_iterator (line 320) | reverse_iterator        rend()         { return reverse_iterator       (...
  type typename (line 345) | typedef typename ReturnType<internal::member_minCoeff>::Type MinCoeffRet...
  type typename (line 346) | typedef typename ReturnType<internal::member_maxCoeff>::Type MaxCoeffRet...
  type PartialReduxExpr (line 347) | typedef PartialReduxExpr<const CwiseUnaryOp<internal::scalar_abs2_op<Sca...
  type CwiseUnaryOp (line 348) | typedef CwiseUnaryOp<internal::scalar_sqrt_op<RealScalar>, const
  type typename (line 349) | typedef typename ReturnType<internal::member_blueNorm,RealScalar>::Type ...
  type typename (line 350) | typedef typename ReturnType<internal::member_stableNorm,RealScalar>::Typ...
  type typename (line 351) | typedef typename ReturnType<internal::member_hypotNorm,RealScalar>::Type...
  type typename (line 352) | typedef typename ReturnType<internal::member_sum>::Type SumReturnType;
  type MeanReturnType (line 353) | typedef EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(SumReturnType,Scalar,quot...
  type typename (line 354) | typedef typename ReturnType<internal::member_all>::Type AllReturnType;
  type typename (line 355) | typedef typename ReturnType<internal::member_any>::Type AnyReturnType;
  type PartialReduxExpr (line 356) | typedef PartialReduxExpr<ExpressionType, internal::member_count<Index,Sc...
  type typename (line 357) | typedef typename ReturnType<internal::member_prod>::Type ProdReturnType;
  type Reverse (line 358) | typedef Reverse<const ExpressionType, Direction> ConstReverseReturnType;
  type Reverse (line 359) | typedef Reverse<ExpressionType, Direction> ReverseReturnType;
  type PartialReduxExpr (line 362) | typedef PartialReduxExpr<ExpressionType, internal::member_lpnorm<p,RealS...
  function EIGEN_DEVICE_FUNC (line 411) | EIGEN_DEVICE_FUNC
  function typename (line 437) | const typename LpNormReturnType<p>::Type lpNorm() const
  function EIGEN_DEVICE_FUNC (line 506) | EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/Visitor.h
  function namespace (line 15) | namespace Eigen {
  function run (line 52) | static inline void run(const Derived &/*mat*/, Visitor& /*visitor*/)
  function run (line 60) | static inline void run(const Derived& mat, Visitor& visitor)
  type typename (line 75) | typedef typename packet_traits<Scalar>::type Packet;
  function EIGEN_DEVICE_FUNC (line 77) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 121) | EIGEN_DEVICE_FUNC
  type typename (line 124) | typedef typename XprType::Scalar Scalar;
  type typename (line 125) | typedef typename internal::remove_const<typename
  type typename (line 126) | typedef typename internal::remove_const<typename
  function EIGEN_DEVICE_FUNC (line 132) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index row, Index col) const
  function EIGEN_DEVICE_FUNC (line 134) | EIGEN_DEVICE_FUNC PacketReturnType packet(Index row, Index col) const
  type typename (line 171) | typedef typename internal::visitor_evaluator<Derived> ThisEvaluator;
  function namespace (line 181) | namespace internal {
  type typename (line 207) | typedef typename packet_traits<Scalar>::type Packet;
  function EIGEN_DEVICE_FUNC (line 208) | static EIGEN_DEVICE_FUNC inline bool compare(Scalar a, Scalar b) { retur...
  function EIGEN_DEVICE_FUNC (line 209) | static EIGEN_DEVICE_FUNC inline Scalar predux(const Packet& p) { return ...
  function EIGEN_DEVICE_FUNC (line 215) | static EIGEN_DEVICE_FUNC inline bool compare(Scalar a, Scalar b) { retur...
  function EIGEN_DEVICE_FUNC (line 216) | static EIGEN_DEVICE_FUNC inline Scalar predux(const Packet& p) { return ...
  function EIGEN_DEVICE_FUNC (line 226) | EIGEN_DEVICE_FUNC inline
  function EIGEN_DEVICE_FUNC (line 236) | EIGEN_DEVICE_FUNC inline
  function EIGEN_DEVICE_FUNC (line 260) | EIGEN_DEVICE_FUNC inline
  function EIGEN_DEVICE_FUNC (line 270) | EIGEN_DEVICE_FUNC inline
  function EIGEN_DEVICE_FUNC (line 296) | EIGEN_DEVICE_FUNC inline
  function EIGEN_DEVICE_FUNC (line 307) | EIGEN_DEVICE_FUNC inline
  function typename (line 348) | typename internal::traits<Derived>::Scalar
  function typename (line 373) | typename internal::traits<Derived>::Scalar
  function typename (line 399) | typename internal::traits<Derived>::Scalar
  function typename (line 424) | typename internal::traits<Derived>::Scalar

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX/Complex.h
  function namespace (line 15) | namespace Eigen {
  function Packet4cf (line 149) | Packet4cf preverse(const Packet4cf& a) {
  type Packet2cd (line 188) | struct Packet2cd
  type packet_traits (line 196) | struct packet_traits
  function default_packet_traits (line 196) | double> >  : default_packet_traits
  function Packet2cd (line 221) | struct unpacket_traits<Packet2cd> {
  function Packet2cd (line 236) | Packet2cd pnegate(const Packet2cd& a) { return Packet2cd(pnegate(a.v)); }
  function Packet2cd (line 237) | Packet2cd pconj(const Packet2cd& a)
  function Packet2cd (line 254) | Packet2cd pcmp_eq(const Packet2cd& a, const Packet2cd& b) {
  function Packet2cd (line 304) | Packet2cd preverse(const Packet2cd& a) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX/MathFunctions.h
  function namespace (line 19) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX/PacketMath.h
  function namespace (line 15) | namespace Eigen {
  function Packet8f (line 255) | Packet8f pzero(const Packet8f& /*a*/) { return _mm256_setzero_ps(); }
  function Packet4d (line 256) | Packet4d pzero(const Packet4d& /*a*/) { return _mm256_setzero_pd(); }
  function Packet8i (line 257) | Packet8i pzero(const Packet8i& /*a*/) { return _mm256_setzero_si256(); }
  function Packet8f (line 260) | Packet8f peven_mask(const Packet8f& /*a*/) { return _mm256_castsi256_ps(...
  function Packet8i (line 261) | Packet8i peven_mask(const Packet8i& /*a*/) { return _mm256_set_epi32(0, ...
  function Packet4d (line 262) | Packet4d peven_mask(const Packet4d& /*a*/) { return _mm256_castsi256_pd(...
  function Packet8f (line 295) | Packet8f pnegate(const Packet8f& a)
  function Packet4d (line 299) | Packet4d pnegate(const Packet4d& a)
  function Packet8i (line 303) | Packet8i pnegate(const Packet8i& a)
  function Packet8f (line 308) | Packet8f pconj(const Packet8f& a) { return a; }
  function Packet4d (line 309) | Packet4d pconj(const Packet4d& a) { return a; }
  function Packet8i (line 310) | Packet8i pconj(const Packet8i& a) { return a; }
  function Packet8h (line 1105) | struct unpacket_traits<Packet8h> { typedef Eigen::half type; enum {size=...
  function EIGEN_STRONG_INLINE (line 1157) | EIGEN_STRONG_INLINE Packet8f half2float(const Packet8h& a) {
  function EIGEN_STRONG_INLINE (line 1167) | EIGEN_STRONG_INLINE Packet8h float2half(const Packet8f& a) {
  function EIGEN_STRONG_INLINE (line 1412) | EIGEN_STRONG_INLINE Packet8f Bf16ToF32(const Packet8bf& a) {
  function EIGEN_STRONG_INLINE (line 1426) | EIGEN_STRONG_INLINE Packet8bf F32ToBf16(const Packet8f& a) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX/TypeCasting.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX512/Complex.h
  function namespace (line 15) | namespace Eigen {
  function Packet8cf (line 134) | Packet8cf preverse(const Packet8cf& a) {
  type Packet4cd (line 173) | struct Packet4cd
  type packet_traits (line 180) | struct packet_traits
  function default_packet_traits (line 180) | double> >  : default_packet_traits
  function Packet4cd (line 204) | struct unpacket_traits<Packet4cd> {
  function Packet4cd (line 219) | Packet4cd pnegate(const Packet4cd& a) { return Packet4cd(pnegate(a.v)); }
  function Packet4cd (line 220) | Packet4cd pconj(const Packet4cd& a)
  function Packet4cd (line 244) | Packet4cd pcmp_eq(const Packet4cd& a, const Packet4cd& b) {
  function Packet4cd (line 296) | Packet4cd preverse(const Packet4cd& a) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX512/MathFunctions.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX512/PacketMath.h
  function namespace (line 15) | namespace Eigen {
  function Packet16f (line 220) | Packet16f pzero(const Packet16f& /*a*/) { return _mm512_setzero_ps(); }
  function Packet8d (line 221) | Packet8d pzero(const Packet8d& /*a*/) { return _mm512_setzero_pd(); }
  function Packet16i (line 222) | Packet16i pzero(const Packet16i& /*a*/) { return _mm512_setzero_si512(); }
  function Packet16f (line 224) | Packet16f peven_mask(const Packet16f& /*a*/) {
  function Packet16i (line 228) | Packet16i peven_mask(const Packet16i& /*a*/) {
  function Packet8d (line 232) | Packet8d peven_mask(const Packet8d& /*a*/) {
  function Packet16f (line 298) | Packet16f pnegate(const Packet16f& a) {
  function Packet8d (line 302) | Packet8d pnegate(const Packet8d& a) {
  function Packet16i (line 306) | Packet16i pnegate(const Packet16i& a) {
  function Packet16f (line 311) | Packet16f pconj(const Packet16f& a) {
  function Packet8d (line 315) | Packet8d pconj(const Packet8d& a) {
  function Packet16i (line 319) | Packet16i pconj(const Packet16i& a) {
  function Packet16f (line 352) | Packet16f pmadd(const Packet16f& a, const Packet16f& b,
  function Packet8d (line 357) | Packet8d pmadd(const Packet8d& a, const Packet8d& b,
  function Packet16f (line 364) | inline Packet16f pselect(const Packet16f& mask,
  function Packet8d (line 373) | inline Packet8d pselect(const Packet8d& mask,
  function Packet8f (line 453) | Packet8f extract256(Packet16f x) { return _mm512_extractf32x8_ps(x,I_); }
  function Packet2d (line 454) | Packet2d extract128(Packet8d x) { return _mm512_extractf64x2_pd(x,I_); }
  function EIGEN_STRONG_INLINE (line 455) | EIGEN_STRONG_INLINE Packet16f cat256(Packet8f a, Packet8f b) { return _m...
  function Packet8f (line 458) | Packet8f extract256(Packet16f x) {
  function Packet2d (line 463) | Packet2d extract128(Packet8d x) {
  function EIGEN_STRONG_INLINE (line 467) | EIGEN_STRONG_INLINE Packet16f cat256(Packet8f a, Packet8f b) {
  function EIGEN_STRONG_INLINE (line 475) | EIGEN_STRONG_INLINE __m256i Pack32To16(Packet16f rf) {
  function Packet16f (line 493) | Packet16f pcmp_eq(const Packet16f& a, const Packet16f& b) {
  function Packet16f (line 498) | Packet16f pcmp_le(const Packet16f& a, const Packet16f& b) {
  function Packet16f (line 504) | Packet16f pcmp_lt(const Packet16f& a, const Packet16f& b) {
  function Packet16f (line 510) | Packet16f pcmp_lt_or_nan(const Packet16f& a, const Packet16f& b) {
  function Packet16i (line 516) | Packet16i pcmp_eq(const Packet16i& a, const Packet16i& b) {
  function Packet16i (line 520) | Packet16i pcmp_le(const Packet16i& a, const Packet16i& b) {
  function Packet16i (line 524) | Packet16i pcmp_lt(const Packet16i& a, const Packet16i& b) {
  function Packet8d (line 530) | Packet8d pcmp_eq(const Packet8d& a, const Packet8d& b) {
  function Packet8d (line 536) | Packet8d pcmp_le(const Packet8d& a, const Packet8d& b) {
  function Packet8d (line 542) | Packet8d pcmp_lt(const Packet8d& a, const Packet8d& b) {
  function Packet8d (line 548) | Packet8d pcmp_lt_or_nan(const Packet8d& a, const Packet8d& b) {
  function Packet16i (line 694) | Packet16i parithmetic_shift_right(Packet16i a) {
  function Packet16i (line 698) | Packet16i plogical_shift_right(Packet16i a) {
  function Packet16i (line 702) | Packet16i plogical_shift_left(Packet16i a) {
  function Packet16f (line 941) | Packet16f preverse(const Packet16f& a)
  function Packet8d (line 946) | Packet8d preverse(const Packet8d& a)
  function Packet16i (line 951) | Packet16i preverse(const Packet16i& a)
  function Packet16f (line 956) | Packet16f pabs(const Packet16f& a)
  function Packet8d (line 962) | Packet8d pabs(const Packet8d& a) {
  function Packet16i (line 967) | Packet16i pabs(const Packet16i& a)
  function Packet8d (line 980) | Packet8d pfrexp_generic_get_biased_exponent(const Packet8d& a) {
  function predux_any (line 1227) | bool predux_any(const Packet16f& x)
  function Packet16f (line 1645) | Packet16f pblend(const Selector<16>& /*ifPacket*/,
  function Packet8d (line 1652) | Packet8d pblend(const Selector<8>& ifPacket,
  function Packet16h (line 1708) | Packet16h
  function EIGEN_STRONG_INLINE (line 1717) | EIGEN_STRONG_INLINE Packet16f half2float(const Packet16h& a) {
  function EIGEN_STRONG_INLINE (line 1745) | EIGEN_STRONG_INLINE Packet16h float2half(const Packet16f& a) {
  function Packet16h (line 1774) | Packet16h ptrue(const Packet16h& a) {
  function Packet16h (line 1779) | Packet16h pabs(const Packet16h& a) {
  function Packet16h (line 1801) | Packet16h por(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1806) | Packet16h pxor(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1809) | Packet16h pand(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1812) | Packet16h pandnot(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1816) | Packet16h pselect(const Packet16h& mask, const Packet16h& a, const Packe...
  function Packet16h (line 1836) | Packet16h pcmp_eq(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1842) | Packet16h pcmp_le(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1846) | Packet16h pcmp_lt(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1850) | Packet16h pcmp_lt_or_nan(const Packet16h& a,const Packet16h& b) {
  function Packet16h (line 1854) | Packet16h pconj(const Packet16h& a) { return a; }
  function Packet16h (line 1856) | Packet16h pnegate(const Packet16h& a) {
  function Packet16h (line 1918) | Packet16h preverse(const Packet16h& a)
  function Packet16bf (line 2129) | struct is_arithmetic<Packet16bf> { enum { value = true }; }
  function default_packet_traits (line 2132) | struct packet_traits<bfloat16> : default_packet_traits {
  function Packet16bf (line 2164) | struct unpacket_traits<Packet16bf>
  function Packet16bf (line 2218) | Packet16bf
  function EIGEN_STRONG_INLINE (line 2227) | EIGEN_STRONG_INLINE Packet16f Bf16ToF32(const Packet16bf& a) {
  function EIGEN_STRONG_INLINE (line 2232) | EIGEN_STRONG_INLINE Packet16bf F32ToBf16(const Packet16f& a) {
  function Packet16bf (line 2267) | Packet16bf ptrue(const Packet16bf& a) {
  function Packet16bf (line 2272) | Packet16bf por(const Packet16bf& a, const Packet16bf& b) {
  function Packet16bf (line 2277) | Packet16bf pxor(const Packet16bf& a, const Packet16bf& b) {
  function Packet16bf (line 2282) | Packet16bf pand(const Packet16bf& a, const Packet16bf& b) {
  function Packet16bf (line 2287) | Packet16bf pandnot(const Packet16bf& a,
  function Packet16bf (line 2293) | Packet16bf pselect(const Packet16bf& mask,
  function Packet16bf (line 2319) | Packet16bf pcmp_eq(const Packet16bf& a,
  function Packet16bf (line 2325) | Packet16bf pcmp_le(const Packet16bf& a,
  function Packet16bf (line 2331) | Packet16bf pcmp_lt(const Packet16bf& a,
  function Packet16bf (line 2337) | Packet16bf pcmp_lt_or_nan(const Packet16bf& a,
  function Packet16bf (line 2343) | Packet16bf pnegate(const Packet16bf& a) {
  function Packet16bf (line 2349) | Packet16bf pconj(const Packet16bf& a) {
  function Packet16bf (line 2354) | Packet16bf pabs(const Packet16bf& a) {
  function Packet16bf (line 2428) | Packet16bf preverse(const Packet16bf& a) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AVX512/TypeCasting.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AltiVec/Complex.h
  function namespace (line 16) | namespace Eigen {
  function Packet2cf (line 168) | Packet2cf pnegate(const Packet2cf& a) { return Packet2cf(pnegate(a.v)); }
  function Packet2cf (line 169) | Packet2cf pconj(const Packet2cf& a) { return Packet2cf(pxor<Packet4f>(a....
  function Packet2cf (line 186) | Packet2cf preverse(const Packet2cf& a)
  function Packet2cf (line 230) | Packet2cf pcmp_eq(const Packet2cf& a, const Packet2cf& b) {
  function Packet2cf (line 236) | Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacke...
  type Packet1cd (line 250) | struct Packet1cd
  type packet_traits (line 302) | struct packet_traits
  function default_packet_traits (line 302) | double> >  : default_packet_traits
  function Packet1cd (line 326) | struct unpacket_traits<Packet1cd> { typedef std::complex<double> type; e...
  function Packet1cd (line 347) | Packet1cd pnegate(const Packet1cd& a) { return Packet1cd(pnegate(Packet2...
  function Packet1cd (line 348) | Packet1cd pconj(const Packet1cd& a) { return Packet1cd(pxor(a.v, reinter...
  function Packet1cd (line 367) | Packet1cd preverse(const Packet1cd& a) { return a; }
  function EIGEN_STRONG_INLINE (line 380) | EIGEN_STRONG_INLINE Packet1cd pcplxflip/*<Packet1cd>*/(const Packet1cd& x)
  function Packet1cd (line 392) | Packet1cd pcmp_eq(const Packet1cd& a, const Packet1cd& b) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AltiVec/MathFunctions.h
  function namespace (line 17) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AltiVec/MatrixProduct.h
  function namespace (line 48) | namespace Eigen {
  function storeBlock (line 407) | void storeBlock(Scalar* to, PacketBlock<Packet,N>& block)
  function EIGEN_STRONG_INLINE (line 423) | EIGEN_STRONG_INLINE void operator()(std::complex<Scalar>* blockA, const ...
  function EIGEN_STRONG_INLINE (line 573) | EIGEN_STRONG_INLINE void operator()(Scalar* blockA, const DataMapper& lh...
  function loadPacketRemaining (line 1045) | void loadPacketRemaining(const Scalar* lhs, Packet &lhsV)
  function loadPacketRemaining (line 1098) | void loadPacketRemaining(const Scalar* lhs_ptr, const Scalar* lhs_ptr_im...
  function Packet (line 1124) | Packet ploadLhs(const Scalar* lhs)
  function Packet (line 1273) | Packet bmask(const int remaining_rows)
  function pbroadcastN_old (line 1304) | void
  function pbroadcastN (line 1343) | void
  function MICRO_ZERO_PEEL_ROW (line 1455) | MICRO_ZERO_PEEL_ROW
  function gemm_extra_cols (line 1718) | void gemm_extra_cols(
  function MICRO_COMPLEX_ZERO_PEEL_ROW (line 1872) | MICRO_COMPLEX_ZERO_PEEL_ROW
  type typename (line 2465) | typedef typename quad_traits<float>::rhstype      RhsPacket;
  type Packet2cf (line 2502) | typedef Packet2cf  Packetc;
  type Packet4f (line 2503) | typedef Packet4f   RhsPacket;
  type Packet2cf (line 2541) | typedef Packet2cf  Packetc;
  type Packet4f (line 2542) | typedef Packet4f   RhsPacket;
  type Packet2cf (line 2579) | typedef Packet2cf  Packetc;
  type Packet4f (line 2580) | typedef Packet4f   RhsPacket;
  type typename (line 2617) | typedef typename quad_traits<double>::rhstype     RhsPacket;
  type Packet1cd (line 2654) | typedef Packet1cd  Packetc;
  type quad_traits (line 2655) | typedef quad_traits<double>::rhstype   RhsPacket;
  type Packet1cd (line 2692) | typedef Packet1cd  Packetc;
  type quad_traits (line 2693) | typedef quad_traits<double>::rhstype   RhsPacket;
  type Packet1cd (line 2730) | typedef Packet1cd  Packetc;
  type quad_traits (line 2731) | typedef quad_traits<double>::rhstype   RhsPacket;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AltiVec/MatrixProductCommon.h
  function namespace (line 10) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AltiVec/MatrixProductMMA.h
  function namespace (line 24) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/AltiVec/PacketMath.h
  function namespace (line 15) | namespace Eigen {
  function pstore_common (line 481) | void pstore_common(__UNPACK_TYPE__(Packet)* to, const Packet& from){
  function Packet (line 529) | Packet pset1_size4(const __UNPACK_TYPE__(Packet)& from)
  function Packet (line 536) | Packet pset1_size8(const __UNPACK_TYPE__(Packet)& from)
  function Packet (line 543) | Packet pset1_size16(const __UNPACK_TYPE__(Packet)& from)
  function pbroadcast4_common (line 581) | void
  function Packet (line 605) | inline Packet pgather_common(const __UNPACK_TYPE__(Packet)* from, Index ...
  function Packet (line 625) | inline Packet pgather_size8(const __UNPACK_TYPE__(Packet)* from, Index s...
  function Packet (line 654) | inline Packet pgather_size16(const __UNPACK_TYPE__(Packet)* from, Index ...
  function pscatter_size4 (line 687) | void pscatter_size4(__UNPACK_TYPE__(Packet)* to, const Packet& from, Ind...
  function pscatter_size8 (line 707) | inline void pscatter_size8(__UNPACK_TYPE__(Packet)* to, const Packet& fr...
  function pscatter_size16 (line 737) | void pscatter_size16(__UNPACK_TYPE__(Packet)* to, const Packet& from, In...
  function Packet4f (line 791) | Packet4f pnegate(const Packet4f& a) { return p4f_ZERO - a; }
  function Packet4i (line 792) | Packet4i pnegate(const Packet4i& a) { return p4i_ZERO - a; }
  function Packet4f (line 794) | Packet4f pconj(const Packet4f& a) { return a; }
  function Packet4i (line 795) | Packet4i pconj(const Packet4i& a) { return a; }
  function Packet (line 999) | Packet ploaddup_common(const __UNPACK_TYPE__(Packet)*   from)
  function pstoreu_common (line 1068) | void pstoreu_common(__UNPACK_TYPE__(Packet)*  to, const Packet& from)
  function pfirst_common (line 1125) | __UNPACK_TYPE__(Packet) pfirst_common(const Packet& a) {
  function a (line 1131) | short int pfirst<Packet8s>(const Packet8s& a) {
  function a (line 1135) | unsigned short int pfirst<Packet8us>(const Packet8us& a) {
  function a (line 1139) | signed char pfirst<Packet16c>(const Packet16c& a)
  function a (line 1144) | unsigned char pfirst<Packet16uc>(const Packet16uc& a)
  function Packet4f (line 1149) | Packet4f preverse(const Packet4f& a)
  function Packet4i (line 1153) | Packet4i preverse(const Packet4i& a)
  function Packet8s (line 1157) | Packet8s preverse(const Packet8s& a)
  function Packet8us (line 1161) | Packet8us preverse(const Packet8us& a)
  function Packet16c (line 1165) | Packet16c preverse(const Packet16c& a)
  function Packet16uc (line 1169) | Packet16uc preverse(const Packet16uc& a)
  function Packet8bf (line 1173) | Packet8bf preverse(const Packet8bf& a)
  function Packet4f (line 1178) | Packet4f pabs(const Packet4f& a) { return vec_abs(a); }
  function Packet4i (line 1179) | Packet4i pabs(const Packet4i& a) { return vec_abs(a); }
  function Packet8s (line 1180) | Packet8s pabs(const Packet8s& a) { return vec_abs(a); }
  function Packet8us (line 1181) | Packet8us pabs(const Packet8us& a) { return a; }
  function Packet16c (line 1182) | Packet16c pabs(const Packet16c& a) { return vec_abs(a); }
  function Packet16uc (line 1183) | Packet16uc pabs(const Packet16uc& a) { return a; }
  function Packet8bf (line 1184) | Packet8bf  pabs(const Packet8bf& a) {
  function Packet4i (line 1189) | Packet4i parithmetic_shift_right(const Packet4i& a)
  function Packet4i (line 1191) | Packet4i plogical_shift_right(const Packet4i& a)
  function Packet4i (line 1193) | Packet4i plogical_shift_left(const Packet4i& a)
  function Packet4f (line 1195) | Packet4f plogical_shift_left(const Packet4f& a)
  function Packet4f (line 1202) | Packet4f plogical_shift_right(const Packet4f& a)
  function Packet4ui (line 1209) | Packet4ui plogical_shift_right(const Packet4ui& a)
  function Packet4ui (line 1215) | Packet4ui plogical_shift_left(const Packet4ui& a)
  function Packet8us (line 1221) | Packet8us plogical_shift_left(const Packet8us& a)
  function Packet8us (line 1226) | Packet8us plogical_shift_right(const Packet8us& a)
  function EIGEN_STRONG_INLINE (line 1232) | EIGEN_STRONG_INLINE Packet4f Bf16ToF32Even(const Packet8bf& bf){
  function EIGEN_STRONG_INLINE (line 1236) | EIGEN_STRONG_INLINE Packet4f Bf16ToF32Odd(const Packet8bf& bf){
  function EIGEN_STRONG_INLINE (line 1246) | EIGEN_STRONG_INLINE Packet8bf F32ToBf16Bool(Packet4f even, Packet4f odd) {
  function EIGEN_STRONG_INLINE (line 1254) | EIGEN_STRONG_INLINE Packet8bf F32ToBf16(Packet4f p4f){
  function EIGEN_STRONG_INLINE (line 1294) | EIGEN_STRONG_INLINE Packet8bf F32ToBf16(Packet4f even, Packet4f odd){
  function Packet8bf (line 1398) | Packet8bf pmadd(const Packet8bf& a, const Packet8bf& b, const Packet8bf&...
  function Packet8bf (line 1418) | Packet8bf pcmp_lt(const Packet8bf& a, const Packet8bf& b) {
  function Packet8bf (line 1421) | Packet8bf pcmp_lt_or_nan(const Packet8bf& a, const Packet8bf& b) {
  function Packet8bf (line 1424) | Packet8bf pcmp_le(const Packet8bf& a, const Packet8bf& b) {
  function Packet8bf (line 1427) | Packet8bf pcmp_eq(const Packet8bf& a, const Packet8bf& b) {
  function bfloat16 (line 1431) | bfloat16 pfirst(const Packet8bf& a) {
  function predux_size8 (line 1475) | __UNPACK_TYPE__(Packet) predux_size8(const Packet& a)
  function a (line 1491) | short int predux<Packet8s>(const Packet8s& a)
  function a (line 1496) | unsigned short int predux<Packet8us>(const Packet8us& a)
  function predux_size16 (line 1501) | __UNPACK_TYPE__(Packet) predux_size16(const Packet& a)
  function a (line 1523) | signed char predux<Packet16c>(const Packet16c& a)
  function a (line 1528) | unsigned char predux<Packet16uc>(const Packet16uc& a)
  function predux_mul (line 1549) | short int predux_mul<Packet8s>(const Packet8s& a)
  function predux_mul (line 1560) | unsigned short int predux_mul<Packet8us>(const Packet8us& a)
  function predux_mul (line 1580) | signed char predux_mul<Packet16c>(const Packet16c& a)
  function a (line 1592) | unsigned char predux_mul<Packet16uc>(const Packet16uc& a)
  function predux_min4 (line 1606) | __UNPACK_TYPE__(Packet) predux_min4(const Packet& a)
  function predux_min (line 1633) | short int predux_min<Packet8s>(const Packet8s& a)
  function predux_min (line 1648) | unsigned short int predux_min<Packet8us>(const Packet8us& a)
  function predux_min (line 1663) | signed char predux_min<Packet16c>(const Packet16c& a)
  function a (line 1675) | unsigned char predux_min<Packet16uc>(const Packet16uc& a)
  function predux_max4 (line 1687) | __UNPACK_TYPE__(Packet) predux_max4(const Packet& a)
  function predux_max (line 1713) | short int predux_max<Packet8s>(const Packet8s& a)
  function predux_max (line 1728) | unsigned short int predux_max<Packet8us>(const Packet8us& a)
  function predux_max (line 1743) | signed char predux_max<Packet16c>(const Packet16c& a)
  function a (line 1755) | unsigned char predux_max<Packet16uc>(const Packet16uc& a)
  function predux_any (line 1767) | bool predux_any(const Packet4f& x)
  function ptranpose_common (line 1772) | inline void
  function Packet (line 2103) | Packet pblend4(const Selector<4>& ifPacket, const Packet& thenPacket, co...
  function Packet4i (line 2109) | Packet4i pblend(const Selector<4>& ifPacket, const Packet4i& thenPacket,...
  function Packet4f (line 2113) | Packet4f pblend(const Selector<4>& ifPacket, const Packet4f& thenPacket,...
  function Packet8s (line 2117) | Packet8s pblend(const Selector<8>& ifPacket, const Packet8s& thenPacket,...
  function Packet8us (line 2125) | Packet8us pblend(const Selector<8>& ifPacket, const Packet8us& thenPacke...
  function Packet8bf (line 2132) | Packet8bf pblend(const Selector<8>& ifPacket, const Packet8bf& thenPacke...
  function Packet16c (line 2136) | Packet16c pblend(const Selector<16>& ifPacket, const Packet16c& thenPack...
  function Packet16uc (line 2146) | Packet16uc pblend(const Selector<16>& ifPacket, const Packet16uc& thenPa...
  type type_casting_traits (line 2157) | struct type_casting_traits
  type type_casting_traits (line 2166) | struct type_casting_traits
  type type_casting_traits (line 2175) | struct type_casting_traits
  type type_casting_traits (line 2184) | struct type_casting_traits
  function bfloat16 (line 2184) | int, bfloat16> {
  type __vector (line 2258) | typedef __vector double              Packet2d;
  type Packet2ul (line 2259) | typedef __vector unsigned long long  Packet2ul;
  type Packet2l (line 2260) | typedef __vector long long           Packet2l;
  type Packet2ul (line 2262) | typedef Packet2ul                    Packet2bl;
  type __vector (line 2264) | typedef __vector __bool
  function default_packet_traits (line 2287) | struct packet_traits<double> : default_packet_traits
  function Packet2d (line 2319) | struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, al...
  function Packet2d (line 2398) | Packet2d pnegate(const Packet2d& a) { return p2d_ZERO - a; }
  function Packet2d (line 2400) | Packet2d pconj(const Packet2d& a) { return a; }
  function Packet2d (line 2406) | Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) ...
  function Packet2d (line 2424) | Packet2d pcmp_le(const Packet2d& a, const Packet2d& b) { return reinterp...
  function Packet2d (line 2425) | Packet2d pcmp_lt(const Packet2d& a, const Packet2d& b) { return reinterp...
  function Packet2d (line 2426) | Packet2d pcmp_eq(const Packet2d& a, const Packet2d& b) { return reinterp...
  function Packet2d (line 2427) | Packet2d pcmp_lt_or_nan(const Packet2d& a, const Packet2d& b) {
  function Packet2d (line 2488) | Packet2d preverse(const Packet2d& a)
  function Packet2d (line 2492) | Packet2d pabs(const Packet2d& a) { return vec_abs(a); }
  function Packet2l (line 2533) | Packet2l plogical_shift_left(const Packet2l& a) {
  function Packet2l (line 2539) | Packet2l plogical_shift_right(const Packet2l& a) {
  function EIGEN_ALWAYS_INLINE (line 2548) | EIGEN_ALWAYS_INLINE Packet4i shift_even_left(const Packet4i& a) {
  function EIGEN_ALWAYS_INLINE (line 2561) | EIGEN_ALWAYS_INLINE Packet4i shift_odd_right(const Packet4i& a) {
  function Packet2l (line 2577) | Packet2l run(const Packet2l& a) {
  function EIGEN_STRONG_INLINE (line 2591) | static EIGEN_STRONG_INLINE Packet2l run(const Packet2l& a) {
  function Packet2l (line 2600) | Packet2l plogical_shift_left(const Packet2l& a) {
  function Packet2l (line 2609) | Packet2l run(const Packet2l& a) {
  function EIGEN_STRONG_INLINE (line 2623) | static EIGEN_STRONG_INLINE Packet2l run(const Packet2l& a) {
  function Packet2l (line 2632) | Packet2l plogical_shift_right(const Packet2l& a) {
  function Packet2d (line 2657) | Packet2d pfrexp_generic_get_biased_exponent(const Packet2d& a) {
  function Packet2d (line 2701) | Packet2d pblend(const Selector<2>& ifPacket, const Packet2d& thenPacket,...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/Default/BFloat16.h
  function namespace (line 45) | namespace Eigen {
  function namespace (line 130) | namespace std {
  function namespace (line 180) | namespace Eigen {
  function bfloat16_to_float (line 514) | float bfloat16_to_float(__bfloat16_raw h) {
  function EIGEN_STRONG_INLINE (line 524) | EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool (isinf)(const bfloat16& a) {
  function EIGEN_STRONG_INLINE (line 532) | EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool (isnan)(const bfloat16& a) {
  function EIGEN_STRONG_INLINE (line 540) | EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool (isfinite)(const bfloat16& a) {
  function bfloat16 (line 544) | bfloat16 abs(const bfloat16& a) {
  function bfloat16 (line 548) | bfloat16 exp(const bfloat16& a) {
  function bfloat16 (line 551) | bfloat16 expm1(const bfloat16& a) {
  function bfloat16 (line 554) | bfloat16 log(const bfloat16& a) {
  function bfloat16 (line 557) | bfloat16 log1p(const bfloat16& a) {
  function bfloat16 (line 560) | bfloat16 log10(const bfloat16& a) {
  function bfloat16 (line 563) | bfloat16 log2(const bfloat16& a) {
  function bfloat16 (line 566) | bfloat16 sqrt(const bfloat16& a) {
  function bfloat16 (line 569) | bfloat16 pow(const bfloat16& a, const bfloat16& b) {
  function bfloat16 (line 572) | bfloat16 sin(const bfloat16& a) {
  function bfloat16 (line 575) | bfloat16 cos(const bfloat16& a) {
  function bfloat16 (line 578) | bfloat16 tan(const bfloat16& a) {
  function bfloat16 (line 581) | bfloat16 asin(const bfloat16& a) {
  function bfloat16 (line 584) | bfloat16 acos(const bfloat16& a) {
  function bfloat16 (line 587) | bfloat16 atan(const bfloat16& a) {
  function bfloat16 (line 590) | bfloat16 sinh(const bfloat16& a) {
  function bfloat16 (line 593) | bfloat16 cosh(const bfloat16& a) {
  function bfloat16 (line 596) | bfloat16 tanh(const bfloat16& a) {
  function bfloat16 (line 600) | bfloat16 asinh(const bfloat16& a) {
  function bfloat16 (line 603) | bfloat16 acosh(const bfloat16& a) {
  function bfloat16 (line 606) | bfloat16 atanh(const bfloat16& a) {
  function bfloat16 (line 610) | bfloat16 floor(const bfloat16& a) {
  function bfloat16 (line 613) | bfloat16 ceil(const bfloat16& a) {
  function bfloat16 (line 616) | bfloat16 rint(const bfloat16& a) {
  function bfloat16 (line 619) | bfloat16 round(const bfloat16& a) {
  function bfloat16 (line 622) | bfloat16 fmod(const bfloat16& a, const bfloat16& b) {
  function EIGEN_STRONG_INLINE (line 626) | EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bfloat16 (min)(const bfloat16& a, ...
  function EIGEN_STRONG_INLINE (line 632) | EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bfloat16 (max)(const bfloat16& a, ...
  function bfloat16 (line 638) | bfloat16 fmin(const bfloat16& a, const bfloat16& b) {
  function bfloat16 (line 644) | bfloat16 fmax(const bfloat16& a, const bfloat16& b) {
  function namespace (line 659) | namespace internal {
  function bfloat16 (line 678) | struct NumTraits<Eigen::bfloat16>
  function namespace (line 715) | namespace Eigen {
  function namespace (line 750) | namespace std {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/Default/ConjHelper.h
  function namespace (line 43) | namespace Eigen {
  function Packet (line 109) | Packet pmadd(const Packet& x, const Packet& y, const Packet& c) const
  function Packet (line 112) | Packet pmul(const Packet& x, const Packet& y) const

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/Default/GenericPacketMathFunctions.h
  function namespace (line 21) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/Default/GenericPacketMathFunctionsFwd.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/Default/Half.h
  type half (line 63) | struct half
  function namespace (line 65) | namespace half_impl {
  type half (line 143) | struct half
  type half_impl (line 151) | typedef half_impl::__half_raw __half_raw;
  type half_impl (line 160) | typedef half_impl::__half_raw __half_raw;
  function EIGEN_DEVICE_FUNC (line 164) | EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR half() {}
  function half_base (line 166) | half(const __half_raw& h) : half_impl::half_base(h) {}
  function half_base (line 170) | half(const __half& h) : half_impl::half_base(h) {}
  function half_base (line 173) | half(const __half& h) : half_impl::half_base(h) {}
  function EIGEN_CONSTEXPR (line 179) | EIGEN_CONSTEXPR half(bool b)
  function EIGEN_DEVICE_FUNC (line 182) | EIGEN_DEVICE_FUNC half(T val)
  function explicit (line 184) | explicit EIGEN_DEVICE_FUNC half(float f)
  function EIGEN_DEVICE_FUNC (line 190) | EIGEN_DEVICE_FUNC half(std::complex<RealScalar> c)
  function EIGEN_DEVICE_FUNC (line 198) | EIGEN_DEVICE_FUNC operator __half() const {
  function namespace (line 258) | namespace Eigen {
  function namespace (line 828) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/Default/TypeCasting.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/GPU/Complex.h
  function namespace (line 59) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/GPU/MathFunctions.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/GPU/PacketMath.h
  function namespace (line 15) | namespace Eigen {
  type ulonglong2 (line 503) | typedef ulonglong2 Packet4h2;
  type unpacket_traits (line 504) | struct unpacket_traits
  type Packet4h2 (line 512) | typedef Packet4h2 type;
  type Packet4h2 (line 513) | typedef Packet4h2 half;
  function half2 (line 551) | half2 pload(const Eigen::half* from) {
  function half2 (line 555) | half2 ploadu(const Eigen::half* from) {
  function half2 (line 559) | half2 ploaddup(const Eigen::half*  from) {
  function pstore (line 563) | void pstore(Eigen::half* to,
  function pstoreu (line 568) | void pstoreu(Eigen::half* to,
  function half2 (line 575) | half2 ploadt_ro_aligned(
  function half2 (line 585) | half2 ploadt_ro_unaligned(
  function half2 (line 594) | half2 pgather(const Eigen::half* from,
  function pscatter (line 599) | void pscatter(
  function half2 (line 609) | half2 pabs(const half2& a) {
  function half2 (line 617) | half2 ptrue(const half2& /*a*/) {
  function half2 (line 622) | half2 pzero(const half2& /*a*/) {
  function ptranspose (line 627) | void
  function half2 (line 637) | half2 plset(const Eigen::half& a) {
  function half2 (line 646) | half2 pselect(const half2& mask,
  function half2 (line 656) | half2 pcmp_eq(const half2& a,
  function half2 (line 669) | half2 pcmp_lt(const half2& a,
  function half2 (line 682) | half2 pand(const half2& a,
  function half2 (line 693) | half2 por(const half2& a,
  function half2 (line 704) | half2 pxor(const half2& a,
  function half2 (line 715) | half2 pandnot(const half2& a,
  function half2 (line 726) | half2 padd(const half2& a,
  function half2 (line 741) | half2 psub(const half2& a,
  function half2 (line 756) | half2 pnegate(const half2& a) {
  function half2 (line 766) | half2 pconj(const half2& a) { return a; }
  function half2 (line 768) | half2 pmul(const half2& a,
  function half2 (line 783) | half2 pmadd(const half2& a,
  function half2 (line 801) | half2 pdiv(const half2& a,
  function half2 (line 816) | half2 pmin(const half2& a,
  function half2 (line 827) | half2 pmax(const half2& a,
  function half2 (line 882) | half2 plog1p(const half2& a) {
  function half2 (line 890) | half2 pexpm1(const half2& a) {
  function half2 (line 902) | half2 plog(const half2& a) {
  function half2 (line 907) | half2 pexp(const half2& a) {
  function half2 (line 912) | half2 psqrt(const half2& a) {
  function half2 (line 917) | half2 prsqrt(const half2& a) {
  function half2 (line 923) | half2 plog(const half2& a) {
  function half2 (line 931) | half2 pexp(const half2& a) {
  function half2 (line 939) | half2 psqrt(const half2& a) {
  function half2 (line 947) | half2 prsqrt(const half2& a) {
  function ptranspose_double (line 1088) | void ptranspose_double(
  function ptranspose_half2 (line 1109) | void ptranspose_half2(
  function ptranspose_half (line 1121) | void
  function ptranspose (line 1131) | void

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/GPU/Tuple.h
  function namespace (line 18) | namespace Eigen {
  type tuple_cat_impl (line 201) | struct tuple_cat_impl
  function EIGEN_STRONG_INLINE (line 203) | EIGEN_STRONG_INLINE
  function ReturnType (line 270) | ReturnType tie(Args&... args) EIGEN_NOEXCEPT {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/GPU/TypeCasting.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/MSA/Complex.h
  function namespace (line 20) | namespace Eigen {
  type packet_traits (line 103) | struct packet_traits
  function default_packet_traits (line 103) | float> > : default_packet_traits {
  function Packet2cf (line 127) | struct unpacket_traits<Packet2cf> {
  function Packet2cf (line 158) | Packet2cf pnegate(const Packet2cf& a) {
  function Packet2cf (line 165) | Packet2cf pconj(const Packet2cf& a) {
  function Packet2cf (line 277) | Packet2cf preverse(const Packet2cf& a) {
  function Packet2cf (line 332) | Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacket,
  type Packet1cd (line 340) | struct Packet1cd {
  function explicit (line 343) | explicit Packet1cd(const std::complex<double>& a) {
  function EIGEN_STRONG_INLINE (line 347) | EIGEN_STRONG_INLINE explicit Packet1cd(const Packet2d& a) : v(a) {
  function EIGEN_STRONG_INLINE (line 349) | EIGEN_STRONG_INLINE Packet1cd(const Packet1cd& a) : v(a.v) {
  function EIGEN_STRONG_INLINE (line 355) | EIGEN_STRONG_INLINE Packet1cd conjugate(void) const {
  type packet_traits (line 418) | struct packet_traits
  function default_packet_traits (line 418) | double> > : default_packet_traits {
  function Packet1cd (line 441) | struct unpacket_traits<Packet1cd> {
  function Packet1cd (line 483) | Packet1cd pnegate(const Packet1cd& a) {
  function Packet1cd (line 490) | Packet1cd pconj(const Packet1cd& a) {
  function Packet1cd (line 590) | Packet1cd preverse(const Packet1cd& a) {
  function EIGEN_STRONG_INLINE (line 619) | EIGEN_STRONG_INLINE Packet1cd pcplxflip /*<Packet1cd>*/ (const Packet1cd...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/MSA/MathFunctions.h
  function namespace (line 31) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/MSA/PacketMath.h
  function namespace (line 21) | namespace Eigen {
  function Packet4f (line 206) | Packet4f pnegate(const Packet4f& a) {
  function Packet4i (line 213) | Packet4i pnegate(const Packet4i& a) {
  function Packet4f (line 220) | Packet4f pconj(const Packet4f& a) {
  function Packet4i (line 227) | Packet4i pconj(const Packet4i& a) {
  function Packet4f (line 262) | Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c) {
  function Packet4i (line 269) | Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) {
  function EIGEN_DEBUG_ALIGNED_LOAD (line 386) | EIGEN_DEBUG_ALIGNED_LOAD return (Packet4f)__builtin_msa_ld_w(const_cast<...
  function EIGEN_DEBUG_UNALIGNED_LOAD (line 400) | EIGEN_DEBUG_UNALIGNED_LOAD return (Packet4f)__builtin_msa_ld_w(const_cas...
  function Packet4f (line 539) | Packet4f preverse(const Packet4f& a) {
  function Packet4i (line 546) | Packet4i preverse(const Packet4i& a) {
  function Packet4f (line 553) | Packet4f pabs(const Packet4f& a) {
  function Packet4i (line 560) | Packet4i pabs(const Packet4i& a) {
  function Packet4f (line 725) | Packet4f psqrt(const Packet4f& a) {
  function Packet4f (line 732) | Packet4f prsqrt(const Packet4f& a) {
  function Packet4f (line 803) | Packet4f pblend(const Selector<4>& ifPacket, const Packet4f& thenPacket,
  function Packet4i (line 812) | Packet4i pblend(const Selector<4>& ifPacket, const Packet4i& thenPacket,
  type v2f64 (line 822) | typedef v2f64 Packet2d;
  type v2i64 (line 823) | typedef v2i64 Packet2l;
  type v2u64 (line 824) | typedef v2u64 Packet2ul;
  function default_packet_traits (line 846) | struct packet_traits<double> : default_packet_traits {
  function Packet2d (line 867) | struct unpacket_traits<Packet2d> {
  function Packet2d (line 904) | Packet2d pnegate(const Packet2d& a) {
  function Packet2d (line 911) | Packet2d pconj(const Packet2d& a) {
  function Packet2d (line 932) | Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) {
  function EIGEN_DEBUG_UNALIGNED_LOAD (line 1009) | EIGEN_DEBUG_UNALIGNED_LOAD return (Packet2d)__builtin_msa_ld_d(const_cas...
  function Packet2d (line 1070) | Packet2d preverse(const Packet2d& a) {
  function Packet2d (line 1077) | Packet2d pabs(const Packet2d& a) {
  function Packet2d (line 1132) | Packet2d psqrt(const Packet2d& a) {
  function Packet2d (line 1139) | Packet2d prsqrt(const Packet2d& a) {
  function Packet2d (line 1224) | Packet2d pblend(const Selector<2>& ifPacket, const Packet2d& thenPacket,

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/NEON/Complex.h
  function namespace (line 16) | namespace Eigen {
  function Packet1cf (line 292) | Packet1cf preverse(const Packet1cf& a) { return a; }
  function Packet2cf (line 293) | Packet2cf preverse(const Packet2cf& a)
  type Packet1cd (line 386) | struct Packet1cd
  type packet_traits (line 393) | struct packet_traits
  function default_packet_traits (line 393) | double> >  : default_packet_traits
  function Packet1cd (line 417) | struct unpacket_traits<Packet1cd>
  function Packet1cd (line 450) | Packet1cd pnegate(const Packet1cd& a)
  function Packet1cd (line 453) | Packet1cd pconj(const Packet1cd& a)
  function Packet1cd (line 476) | Packet1cd pcmp_eq(const Packet1cd& a, const Packet1cd& b)
  function Packet1cd (line 532) | Packet1cd preverse(const Packet1cd& a) { return a; }
  function EIGEN_STRONG_INLINE (line 545) | EIGEN_STRONG_INLINE Packet1cd pcplxflip/*<Packet1cd>*/(const Packet1cd& x)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/NEON/GeneralBlockPanelKernel.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/NEON/MathFunctions.h
  function namespace (line 13) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/NEON/PacketMath.h
  function namespace (line 17) | namespace Eigen {
  function Packet2f (line 878) | Packet2f pnegate(const Packet2f& a) { return vneg_f32(a); }
  function Packet4f (line 879) | Packet4f pnegate(const Packet4f& a) { return vnegq_f32(a); }
  function Packet4c (line 880) | Packet4c pnegate(const Packet4c& a)
  function Packet8c (line 882) | Packet8c pnegate(const Packet8c& a) { return vneg_s8(a); }
  function Packet16c (line 883) | Packet16c pnegate(const Packet16c& a) { return vnegq_s8(a); }
  function Packet4s (line 884) | Packet4s pnegate(const Packet4s& a) { return vneg_s16(a); }
  function Packet8s (line 885) | Packet8s pnegate(const Packet8s& a) { return vnegq_s16(a); }
  function Packet2i (line 886) | Packet2i pnegate(const Packet2i& a) { return vneg_s32(a); }
  function Packet4i (line 887) | Packet4i pnegate(const Packet4i& a) { return vnegq_s32(a); }
  function Packet2l (line 888) | Packet2l pnegate(const Packet2l& a) {
  function Packet2f (line 898) | Packet2f pconj(const Packet2f& a) { return a; }
  function Packet4f (line 899) | Packet4f pconj(const Packet4f& a) { return a; }
  function Packet4c (line 900) | Packet4c pconj(const Packet4c& a) { return a; }
  function Packet8c (line 901) | Packet8c pconj(const Packet8c& a) { return a; }
  function Packet16c (line 902) | Packet16c pconj(const Packet16c& a) { return a; }
  function Packet4uc (line 903) | Packet4uc pconj(const Packet4uc& a) { return a; }
  function Packet8uc (line 904) | Packet8uc pconj(const Packet8uc& a) { return a; }
  function Packet16uc (line 905) | Packet16uc pconj(const Packet16uc& a) { return a; }
  function Packet4s (line 906) | Packet4s pconj(const Packet4s& a) { return a; }
  function Packet8s (line 907) | Packet8s pconj(const Packet8s& a) { return a; }
  function Packet4us (line 908) | Packet4us pconj(const Packet4us& a) { return a; }
  function Packet8us (line 909) | Packet8us pconj(const Packet8us& a) { return a; }
  function Packet2i (line 910) | Packet2i pconj(const Packet2i& a) { return a; }
  function Packet4i (line 911) | Packet4i pconj(const Packet4i& a) { return a; }
  function Packet2ui (line 912) | Packet2ui pconj(const Packet2ui& a) { return a; }
  function Packet4ui (line 913) | Packet4ui pconj(const Packet4ui& a) { return a; }
  function Packet2l (line 914) | Packet2l pconj(const Packet2l& a) { return a; }
  function Packet2ul (line 915) | Packet2ul pconj(const Packet2ul& a) { return a; }
  function Packet2f (line 2302) | Packet2f preverse(const Packet2f& a) { return vrev64_f32(a); }
  function Packet4f (line 2303) | Packet4f preverse(const Packet4f& a)
  function Packet4c (line 2308) | Packet4c preverse(const Packet4c& a)
  function Packet8c (line 2310) | Packet8c preverse(const Packet8c& a) { return vrev64_s8(a); }
  function Packet16c (line 2311) | Packet16c preverse(const Packet16c& a)
  function Packet4uc (line 2316) | Packet4uc preverse(const Packet4uc& a)
  function Packet8uc (line 2318) | Packet8uc preverse(const Packet8uc& a) { return vrev64_u8(a); }
  function Packet16uc (line 2319) | Packet16uc preverse(const Packet16uc& a)
  function Packet4s (line 2324) | Packet4s preverse(const Packet4s& a) { return vrev64_s16(a); }
  function Packet8s (line 2325) | Packet8s preverse(const Packet8s& a)
  function Packet4us (line 2330) | Packet4us preverse(const Packet4us& a) { return vrev64_u16(a); }
  function Packet8us (line 2331) | Packet8us preverse(const Packet8us& a)
  function Packet2i (line 2336) | Packet2i preverse(const Packet2i& a) { return vrev64_s32(a); }
  function Packet4i (line 2337) | Packet4i preverse(const Packet4i& a)
  function Packet2ui (line 2342) | Packet2ui preverse(const Packet2ui& a) { return vrev64_u32(a); }
  function Packet4ui (line 2343) | Packet4ui preverse(const Packet4ui& a)
  function Packet2l (line 2348) | Packet2l preverse(const Packet2l& a)
  function Packet2ul (line 2350) | Packet2ul preverse(const Packet2ul& a)
  function Packet2f (line 2353) | Packet2f pabs(const Packet2f& a) { return vabs_f32(a); }
  function Packet4f (line 2354) | Packet4f pabs(const Packet4f& a) { return vabsq_f32(a); }
  function Packet8c (line 2357) | Packet8c pabs(const Packet8c& a) { return vabs_s8(a); }
  function Packet16c (line 2358) | Packet16c pabs(const Packet16c& a) { return vabsq_s8(a); }
  function Packet4uc (line 2359) | Packet4uc pabs(const Packet4uc& a) { return a; }
  function Packet8uc (line 2360) | Packet8uc pabs(const Packet8uc& a) { return a; }
  function Packet16uc (line 2361) | Packet16uc pabs(const Packet16uc& a) { return a; }
  function Packet4s (line 2362) | Packet4s pabs(const Packet4s& a) { return vabs_s16(a); }
  function Packet8s (line 2363) | Packet8s pabs(const Packet8s& a) { return vabsq_s16(a); }
  function Packet4us (line 2364) | Packet4us pabs(const Packet4us& a) { return a; }
  function Packet8us (line 2365) | Packet8us pabs(const Packet8us& a) { return a; }
  function Packet2i (line 2366) | Packet2i pabs(const Packet2i& a) { return vabs_s32(a); }
  function Packet4i (line 2367) | Packet4i pabs(const Packet4i& a) { return vabsq_s32(a); }
  function Packet2ui (line 2368) | Packet2ui pabs(const Packet2ui& a) { return a; }
  function Packet4ui (line 2369) | Packet4ui pabs(const Packet4ui& a) { return a; }
  function Packet2l (line 2370) | Packet2l pabs(const Packet2l& a) {
  function Packet2ul (line 2379) | Packet2ul pabs(const Packet2ul& a) { return a; }
  function predux_any (line 2841) | bool predux_any(const Packet4f& x)
  function namespace (line 2849) | namespace detail {
  function ptranspose (line 3002) | void ptranspose(PacketBlock<Packet2f, 2>& kernel) {
  function ptranspose (line 3005) | void ptranspose(PacketBlock<Packet4f, 4>& kernel) {
  function ptranspose (line 3009) | void ptranspose(PacketBlock<Packet4c, 4>& kernel)
  function ptranspose (line 3022) | void ptranspose(PacketBlock<Packet8c, 8>& kernel) {
  function ptranspose (line 3025) | void ptranspose(PacketBlock<Packet8c, 4>& kernel) {
  function ptranspose (line 3028) | void ptranspose(PacketBlock<Packet16c, 16>& kernel) {
  function ptranspose (line 3031) | void ptranspose(PacketBlock<Packet16c, 8>& kernel) {
  function ptranspose (line 3034) | void ptranspose(PacketBlock<Packet16c, 4>& kernel) {
  function ptranspose (line 3038) | void ptranspose(PacketBlock<Packet4uc, 4>& kernel)
  function ptranspose (line 3051) | void ptranspose(PacketBlock<Packet8uc, 8>& kernel) {
  function ptranspose (line 3054) | void ptranspose(PacketBlock<Packet8uc, 4>& kernel) {
  function ptranspose (line 3057) | void ptranspose(PacketBlock<Packet16uc, 16>& kernel) {
  function ptranspose (line 3060) | void ptranspose(PacketBlock<Packet16uc, 8>& kernel) {
  function ptranspose (line 3063) | void ptranspose(PacketBlock<Packet16uc, 4>& kernel) {
  function ptranspose (line 3067) | void ptranspose(PacketBlock<Packet4s, 4>& kernel) {
  function ptranspose (line 3070) | void ptranspose(PacketBlock<Packet8s, 8>& kernel) {
  function ptranspose (line 3073) | void ptranspose(PacketBlock<Packet8s, 4>& kernel) {
  function ptranspose (line 3077) | void ptranspose(PacketBlock<Packet4us, 4>& kernel) {
  function ptranspose (line 3080) | void ptranspose(PacketBlock<Packet8us, 8>& kernel) {
  function ptranspose (line 3083) | void ptranspose(PacketBlock<Packet8us, 4>& kernel) {
  function ptranspose (line 3087) | void ptranspose(PacketBlock<Packet2i, 2>& kernel) {
  function ptranspose (line 3090) | void ptranspose(PacketBlock<Packet4i, 4>& kernel) {
  function ptranspose (line 3093) | void ptranspose(PacketBlock<Packet2ui, 2>& kernel) {
  function ptranspose (line 3096) | void ptranspose(PacketBlock<Packet4ui, 4>& kernel) {
  function ptranspose (line 3100) | void
  function ptranspose (line 3117) | void
  function Packet4f (line 3190) | Packet4f print(const Packet4f& a) {
  function Packet2f (line 3204) | Packet2f print(const Packet2f& a) {
  function Packet4uc (line 3266) | Packet4uc psqrt(const Packet4uc& a) {
  function Packet8uc (line 3279) | Packet8uc psqrt(const Packet8uc& a) {
  function Packet16uc (line 3291) | Packet16uc psqrt(const Packet16uc& a) {
  function Packet4us (line 3303) | Packet4us psqrt(const Packet4us& a) {
  function Packet8us (line 3315) | Packet8us psqrt(const Packet8us& a) {
  function Packet2ui (line 3327) | Packet2ui psqrt(const Packet2ui& a) {
  function Packet4ui (line 3339) | Packet4ui psqrt(const Packet4ui& a) {
  function Packet4f (line 3351) | Packet4f prsqrt(const Packet4f& a) {
  function Packet2f (line 3361) | Packet2f prsqrt(const Packet2f& a) {
  function Packet4f (line 3373) | Packet4f psqrt(const Packet4f& _x){return vsqrtq_f32(_x);}
  function Packet2f (line 3374) | Packet2f psqrt(const Packet2f& _x){return vsqrt_f32(_x); }
  function Packet4f (line 3376) | Packet4f psqrt(const Packet4f& a) {
  function Packet2f (line 3381) | Packet2f psqrt(const Packet2f& a) {
  type eigen_packet_wrapper (line 3392) | typedef eigen_packet_wrapper<uint16x4_t, 19> Packet4bf;
  function Packet4bf (line 3394) | struct is_arithmetic<Packet4bf> { enum { value = true }; }
  function default_packet_traits (line 3396) | struct packet_traits<bfloat16> : default_packet_traits
  function Packet4bf (line 3439) | struct unpacket_traits<Packet4bf>
  function namespace (line 3453) | namespace detail {
  function EIGEN_STRONG_INLINE (line 3462) | EIGEN_STRONG_INLINE Packet4bf F32ToBf16(const Packet4f& p)
  function EIGEN_STRONG_INLINE (line 3489) | EIGEN_STRONG_INLINE Packet4f Bf16ToF32(const Packet4bf& p)
  function EIGEN_STRONG_INLINE (line 3494) | EIGEN_STRONG_INLINE Packet4bf F32MaskToBf16Mask(const Packet4f& p) {
  function Packet4bf (line 3531) | Packet4bf pabs(const Packet4bf& a) {
  function Packet4bf (line 3574) | Packet4bf por(const Packet4bf& a,const Packet4bf& b) {
  function Packet4bf (line 3578) | Packet4bf pxor(const Packet4bf& a,const Packet4bf& b) {
  function Packet4bf (line 3582) | Packet4bf pand(const Packet4bf& a,const Packet4bf& b) {
  function Packet4bf (line 3586) | Packet4bf pandnot(const Packet4bf& a,const Packet4bf& b) {
  function Packet4bf (line 3611) | Packet4bf pconj(const Packet4bf& a) { return a; }
  function ptranspose (line 3666) | void ptranspose(PacketBlock<Packet4bf, 4>& kernel)
  type float64x2_t (line 3724) | typedef float64x2_t Packet2d;
  type float64x1_t (line 3725) | typedef float64x1_t Packet1d;
  function EIGEN_STRONG_INLINE (line 3730) | EIGEN_STRONG_INLINE Packet2d shuffle(const Packet2d& m, const Packet2d& ...
  function EIGEN_STRONG_INLINE (line 3738) | EIGEN_STRONG_INLINE Packet2d vec2d_swizzle2(const Packet2d& a, const Pac...
  function EIGEN_STRONG_INLINE (line 3742) | EIGEN_STRONG_INLINE Packet2d vec2d_unpacklo(const Packet2d& a,const Pack...
  function EIGEN_STRONG_INLINE (line 3746) | EIGEN_STRONG_INLINE Packet2d vec2d_unpackhi(const Packet2d& a,const Pack...
  function default_packet_traits (line 3753) | struct packet_traits<double>  : default_packet_traits
  function Packet2d (line 3796) | struct unpacket_traits<Packet2d>
  function Packet2d (line 3829) | Packet2d pnegate(const Packet2d& a) { return vnegq_f64(a); }
  function Packet2d (line 3831) | Packet2d pconj(const Packet2d& a) { return a; }
  function Packet2d (line 3839) | Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c)
  function Packet2d (line 3842) | Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c)
  function Packet2d (line 3875) | Packet2d pcmp_le(const Packet2d& a, const Packet2d& b)
  function Packet2d (line 3878) | Packet2d pcmp_lt(const Packet2d& a, const Packet2d& b)
  function Packet2d (line 3881) | Packet2d pcmp_lt_or_nan(const Packet2d& a, const Packet2d& b)
  function Packet2d (line 3884) | Packet2d pcmp_eq(const Packet2d& a, const Packet2d& b)
  function Packet2d (line 3919) | Packet2d preverse(const Packet2d& a)
  function Packet2d (line 3922) | Packet2d pabs(const Packet2d& a) { return vabsq_f64(a); }
  function ptranspose (line 3946) | void
  function Packet2d (line 3977) | Packet2d prsqrt(const Packet2d& a) {
  function Packet2d (line 3988) | Packet2d psqrt(const Packet2d& _x){ return vsqrtq_f64(_x); }
  type float16x4_t (line 3992) | typedef float16x4_t Packet4hf;
  type float16x8_t (line 3993) | typedef float16x8_t Packet8hf;
  function default_packet_traits (line 3996) | struct packet_traits<Eigen::half> : default_packet_traits {
  function Packet4hf (line 4041) | struct unpacket_traits<Packet4hf> {
  function Packet8hf (line 4054) | struct unpacket_traits<Packet8hf> {
  function Packet8hf (line 4116) | Packet8hf pnegate(const Packet8hf& a) {
  function Packet4hf (line 4121) | Packet4hf pnegate(const Packet4hf& a) {
  function Packet8hf (line 4126) | Packet8hf pconj(const Packet8hf& a) {
  function Packet4hf (line 4131) | Packet4hf pconj(const Packet4hf& a) {
  function Packet8hf (line 4156) | Packet8hf pmadd(const Packet8hf& a, const Packet8hf& b, const Packet8hf&...
  function Packet4hf (line 4161) | Packet4hf pmadd(const Packet4hf& a, const Packet4hf& b, const Packet4hf&...
  function Packet8hf (line 4366) | Packet8hf pinsertfirst(const Packet8hf& a, Eigen::half b) { return vsetq...
  function Packet4hf (line 4368) | Packet4hf pinsertfirst(const Packet4hf& a, Eigen::half b) { return vset_...
  function Packet8hf (line 4380) | Packet8hf pinsertlast(const Packet8hf& a, Eigen::half b) { return vsetq_...
  function Packet4hf (line 4382) | Packet4hf pinsertlast(const Packet4hf& a, Eigen::half b) { return vset_l...
  function Packet8hf (line 4471) | Packet8hf preverse(const Packet8hf& a) {
  function ptranspose (line 4573) | void ptranspose(PacketBlock<Packet8hf, 4>& kernel)
  function ptranspose (line 4587) | void ptranspose(PacketBlock<Packet4hf, 4>& kernel) {
  function ptranspose (line 4598) | void ptranspose(PacketBlock<Packet8hf, 8>& kernel) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/NEON/TypeCasting.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/NEON/UnaryFunctors.h
  function namespace (line 13) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SSE/Complex.h
  function namespace (line 15) | namespace Eigen {
  function Packet2cf (line 153) | Packet2cf preverse(const Packet2cf& a) { return Packet2cf(_mm_castpd_ps(...
  function EIGEN_STRONG_INLINE (line 165) | EIGEN_STRONG_INLINE Packet2cf pcplxflip/* <Packet2cf> */(const Packet2cf...
  type Packet1cd (line 178) | struct Packet1cd
  type packet_traits (line 188) | struct packet_traits
  function default_packet_traits (line 188) | double> >  : default_packet_traits
  function Packet1cd (line 213) | struct unpacket_traits<Packet1cd> {
  function Packet1cd (line 228) | Packet1cd pnegate(const Packet1cd& a) { return Packet1cd(pnegate(Packet2...
  function Packet1cd (line 229) | Packet1cd pconj(const Packet1cd& a)
  function Packet1cd (line 278) | Packet1cd preverse(const Packet1cd& a) { return a; }
  function EIGEN_STRONG_INLINE (line 297) | EIGEN_STRONG_INLINE Packet1cd pcplxflip/* <Packet1cd> */(const Packet1cd...
  function Packet2cf (line 312) | Packet2cf pcmp_eq(const Packet2cf& a, const Packet2cf& b)
  function Packet1cd (line 318) | Packet1cd pcmp_eq(const Packet1cd& a, const Packet1cd& b)
  function Packet2cf (line 324) | Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacke...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SSE/MathFunctions.h
  function namespace (line 20) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SSE/PacketMath.h
  function namespace (line 15) | namespace Eigen {
  function Packet4f (line 267) | Packet4f peven_mask(const Packet4f& /*a*/) { return _mm_castsi128_ps(_mm...
  function Packet4i (line 268) | Packet4i peven_mask(const Packet4i& /*a*/) { return _mm_set_epi32(0, -1,...
  function Packet2d (line 269) | Packet2d peven_mask(const Packet2d& /*a*/) { return _mm_castsi128_pd(_mm...
  function Packet4f (line 271) | Packet4f pzero(const Packet4f& /*a*/) { return _mm_setzero_ps(); }
  function Packet2d (line 272) | Packet2d pzero(const Packet2d& /*a*/) { return _mm_setzero_pd(); }
  function Packet4i (line 273) | Packet4i pzero(const Packet4i& /*a*/) { return _mm_setzero_si128(); }
  function Packet4f (line 323) | Packet4f pnegate(const Packet4f& a)
  function Packet2d (line 328) | Packet2d pnegate(const Packet2d& a)
  function Packet4i (line 333) | Packet4i pnegate(const Packet4i& a)
  function Packet16b (line 338) | Packet16b pnegate(const Packet16b& a)
  function Packet4f (line 343) | Packet4f pconj(const Packet4f& a) { return a; }
  function Packet2d (line 344) | Packet2d pconj(const Packet2d& a) { return a; }
  function Packet4i (line 345) | Packet4i pconj(const Packet4i& a) { return a; }
  function Packet4i (line 371) | Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) ...
  function Packet4f (line 373) | Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c) ...
  function Packet2d (line 374) | Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) ...
  function Packet4f (line 378) | inline Packet4f pselect(const Packet4f& mask, const Packet4f& a, const P...
  function Packet4i (line 382) | inline Packet4i pselect(const Packet4i& mask, const Packet4i& a, const P...
  function Packet2d (line 386) | inline Packet2d pselect(const Packet2d& mask, const Packet2d& a, const P...
  function Packet16b (line 388) | inline Packet16b pselect(const Packet16b& mask, const Packet16b& a, cons...
  function Packet16b (line 392) | inline Packet16b pselect(const Packet16b& mask, const Packet16b& a, cons...
  function Packet4f (line 432) | Packet4f pcmp_le(const Packet4f& a, const Packet4f& b) { return _mm_cmpl...
  function Packet4f (line 433) | Packet4f pcmp_lt(const Packet4f& a, const Packet4f& b) { return _mm_cmpl...
  function Packet4f (line 434) | Packet4f pcmp_lt_or_nan(const Packet4f& a, const Packet4f& b) { return _...
  function Packet4f (line 435) | Packet4f pcmp_eq(const Packet4f& a, const Packet4f& b) { return _mm_cmpe...
  function Packet2d (line 437) | Packet2d pcmp_le(const Packet2d& a, const Packet2d& b) { return _mm_cmpl...
  function Packet2d (line 438) | Packet2d pcmp_lt(const Packet2d& a, const Packet2d& b) { return _mm_cmpl...
  function Packet2d (line 439) | Packet2d pcmp_lt_or_nan(const Packet2d& a, const Packet2d& b) { return _...
  function Packet2d (line 440) | Packet2d pcmp_eq(const Packet2d& a, const Packet2d& b) { return _mm_cmpe...
  function Packet4i (line 442) | Packet4i pcmp_lt(const Packet4i& a, const Packet4i& b) { return _mm_cmpl...
  function Packet4i (line 443) | Packet4i pcmp_eq(const Packet4i& a, const Packet4i& b) { return _mm_cmpe...
  function Packet16b (line 444) | Packet16b pcmp_eq(const Packet16b& a, const Packet16b& b) { return _mm_c...
  function Packet4i (line 445) | Packet4i pcmp_le(const Packet4i& a, const Packet4i& b) { return por(pcmp...
  function Packet (line 547) | Packet pminmax_propagate_numbers(const Packet& a, const Packet& b, Op op) {
  function Packet (line 556) | Packet pminmax_propagate_nan(const Packet& a, const Packet& b, Op op) {
  function Packet4i (line 598) | Packet4i parithmetic_shift_right(const Packet4i& a) { return _mm_srai_ep...
  function Packet4i (line 599) | Packet4i plogical_shift_right   (const Packet4i& a) { return _mm_srli_ep...
  function Packet4i (line 600) | Packet4i plogical_shift_left    (const Packet4i& a) { return _mm_slli_ep...
  function Packet4f (line 602) | Packet4f pabs(const Packet4f& a)
  function Packet2d (line 607) | Packet2d pabs(const Packet2d& a)
  function Packet4i (line 612) | Packet4i pabs(const Packet4i& a)
  function Packet4f (line 647) | Packet4f print(const Packet4f& a) {
  function Packet2d (line 661) | Packet2d print(const Packet2d& a) {
  function Index (line 828) | Index stride)
  function EIGEN_STRONG_INLINE (line 980) | EIGEN_STRONG_INLINE void punpackp(Packet4f* vecs)
  function pmadd (line 1276) | float pmadd(const float& a, const float& b, const float& c) {
  function pmadd (line 1279) | double pmadd(const double& a, const double& b, const double& c) {
  function EIGEN_STRONG_INLINE (line 1287) | EIGEN_STRONG_INLINE __m128i half2floatsse(__m128i h) {
  function EIGEN_STRONG_INLINE (line 1328) | EIGEN_STRONG_INLINE __m128i float2half(__m128 f) {
  type Packet4h (line 1390) | typedef struct {
  function Packet4h (line 1395) | struct is_arithmetic<Packet4h> { enum { value = true }; }
  function default_packet_traits (line 1398) | struct packet_traits<Eigen::half> : default_packet_traits {
  function Packet4h (line 1427) | struct unpacket_traits<Packet4h> { typedef Eigen::half type; enum {size=...
  function Packet4h (line 1439) | Packet4h pconj(const Packet4h& a) { return a; }
  function __m128 (line 1598) | static inline __m128  _mm_castpd_ps   (__m128d x) { return reinterpret_c...
  function __m128i (line 1599) | static inline __m128i _mm_castpd_si128(__m128d x) { return reinterpret_c...
  function __m128d (line 1600) | static inline __m128d _mm_castps_pd   (__m128  x) { return reinterpret_c...
  function __m128i (line 1601) | static inline __m128i _mm_castps_si128(__m128  x) { return reinterpret_c...
  function __m128 (line 1602) | static inline __m128  _mm_castsi128_ps(__m128i x) { return reinterpret_c...
  function __m128d (line 1603) | static inline __m128d _mm_castsi128_pd(__m128i x) { return reinterpret_c...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SSE/TypeCasting.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SVE/MathFunctions.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SVE/PacketMath.h
  function namespace (line 15) | namespace Eigen
  function PacketXi (line 110) | PacketXi pnegate(const PacketXi& a)
  function PacketXi (line 116) | PacketXi pconj(const PacketXi& a)
  function PacketXi (line 134) | PacketXi pmadd(const PacketXi& a, const PacketXi& b, const PacketXi& c)
  function PacketXi (line 206) | PacketXi parithmetic_shift_right(PacketXi a)
  function PacketXi (line 212) | PacketXi plogical_shift_right(PacketXi a)
  function PacketXi (line 218) | PacketXi plogical_shift_left(PacketXi a)
  function PacketXi (line 288) | PacketXi preverse(const PacketXi& a)
  function PacketXi (line 294) | PacketXi pabs(const PacketXi& a)
  function ptranspose (line 353) | inline void ptranspose(PacketBlock<PacketXi, N>& kernel) {
  type svfloat32_t (line 369) | typedef svfloat32_t PacketXf __attribute__((arm_sve_vector_bits(EIGEN_AR...
  function default_packet_traits (line 372) | struct packet_traits<float> : default_packet_traits {
  function PacketXf (line 411) | struct unpacket_traits<PacketXf> {
  function PacketXf (line 458) | PacketXf pnegate(const PacketXf& a)
  function PacketXf (line 464) | PacketXf pconj(const PacketXf& a)
  function PacketXf (line 482) | PacketXf pmadd(const PacketXf& a, const PacketXf& b, const PacketXf& c)
  function PacketXf (line 654) | PacketXf preverse(const PacketXf& a)
  function PacketXf (line 660) | PacketXf pabs(const PacketXf& a)
  function ptranspose (line 729) | inline void ptranspose(PacketBlock<PacketXf, N>& kernel)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SVE/TypeCasting.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SYCL/InteropHeaders.h
  function namespace (line 26) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SYCL/MathFunctions.h
  function namespace (line 25) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SYCL/PacketMath.h
  function namespace (line 26) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SYCL/SyclMemoryModel.h
  function namespace (line 38) | namespace Eigen {
  function clear (line 325) | inline void clear() {
  function virtual_pointer_t (line 333) | inline virtual_pointer_t add_pointer(const buffer_t &b) {
  function virtual_pointer_t (line 340) | inline virtual_pointer_t add_pointer(buffer_t &&b) {
  function fuse_forward (line 350) | void fuse_forward(typename pointerMap_t::iterator &node) {
  function fuse_backward (line 372) | void fuse_backward(typename pointerMap_t::iterator &node) {
  function pMapNode_t (line 433) | pMapNode_t p{b, bufSize, false};
  type T (line 551) | typedef T scalar_t;
  type scalar_t (line 552) | typedef scalar_t &ref_t;
  type typename (line 553) | typedef typename cl::sycl::global_ptr<scalar_t>::pointer_t ptr_t;
  type cl (line 556) | typedef cl::sycl::accessor<scalar_t, 1, AcMd, global_access, is_place_ho...
  type RangeAccess (line 559) | typedef RangeAccess<AcMd, T> self_t;
  function i (line 600) | nullptr_t i) {
  function set_offset (line 635) | void set_offset(std::ptrdiff_t offset) {
  function ref_t (line 639) | ref_t operator*() const {
  function ref_t (line 643) | ref_t operator*() {
  function ref_t (line 649) | ref_t operator[](int x) {
  function ref_t (line 653) | ref_t operator[](int x) const {
  function scalar_t (line 657) | scalar_t *get_virtual_pointer() const {
  function bind (line 675) | void bind(
  type RangeAccess (line 688) | typedef RangeAccess<AcMd, T> Base;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/SYCL/TypeCasting.h
  function namespace (line 26) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/ZVector/Complex.h
  function namespace (line 16) | namespace Eigen {
  function Packet1cd (line 131) | Packet1cd pnegate(const Packet1cd& a) { return Packet1cd(pnegate(Packet2...
  function Packet1cd (line 132) | Packet1cd pconj(const Packet1cd& a) { return Packet1cd((Packet2d)vec_xor...
  function Packet1cd (line 155) | Packet1cd pcmp_eq(const Packet1cd& a, const Packet1cd& b) {
  function Packet1cd (line 171) | Packet1cd preverse(const Packet1cd& a) { return a; }
  function EIGEN_STRONG_INLINE (line 187) | EIGEN_STRONG_INLINE Packet1cd pcplxflip/*<Packet1cd>*/(const Packet1cd& x)
  function Packet2cf (line 252) | Packet2cf pnegate(const Packet2cf& a) { return Packet2cf(pnegate(Packet4...
  function Packet2cf (line 266) | Packet2cf pcmp_eq(const Packet2cf& a, const Packet2cf& b) {
  function Packet2cf (line 276) | Packet2cf pconj(const Packet2cf& a)
  function Packet2cf (line 292) | Packet2cf preverse(const Packet2cf& a)
  function EIGEN_STRONG_INLINE (line 323) | EIGEN_STRONG_INLINE Packet2cf pcplxflip/*<Packet2cf>*/(const Packet2cf& x)
  function Packet2cf (line 338) | Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacke...
  function Packet2cf (line 345) | Packet2cf pcmp_eq(const Packet2cf& a, const Packet2cf& b) {
  function Packet2cf (line 350) | Packet2cf pconj(const Packet2cf& a) { return Packet2cf(pxor<Packet4f>(a....
  function Packet2cf (line 373) | Packet2cf preverse(const Packet2cf& a)
  function Packet2cf (line 417) | Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacke...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/ZVector/MathFunctions.h
  function namespace (line 21) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/arch/ZVector/PacketMath.h
  function namespace (line 15) | namespace Eigen {
  function Packet4i (line 409) | Packet4i pnegate(const Packet4i& a) { return (-a); }
  function Packet2d (line 410) | Packet2d pnegate(const Packet2d& a) { return (-a); }
  function Packet4i (line 412) | Packet4i pconj(const Packet4i& a) { return a; }
  function Packet2d (line 413) | Packet2d pconj(const Packet2d& a) { return a; }
  function Packet4i (line 415) | Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) ...
  function Packet2d (line 416) | Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) ...
  function Packet4i (line 468) | Packet4i preverse(const Packet4i& a)
  function Packet2d (line 473) | Packet2d preverse(const Packet2d& a)
  function Packet4i (line 562) | Packet4i pblend(const Selector<4>& ifPacket, const Packet4i& thenPacket,...
  function Packet2d (line 569) | Packet2d pblend(const Selector<2>& ifPacket, const Packet2d& thenPacket,...
  function Packet4f (line 581) | Packet4f vec_splat_packet4f(const Packet4f&   from)
  function Packet4f (line 694) | Packet4f pnegate(const Packet4f& a)
  function Packet4f (line 702) | Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c)
  function Packet4f (line 792) | Packet4f preverse(const Packet4f& a)
  function Packet4f (line 876) | Packet4f pblend(const Selector<4>& ifPacket, const Packet4f& thenPacket,...
  function Packet4f (line 991) | Packet4f preverse(const Packet4f& a)
  function Packet4f (line 1045) | Packet4f pblend(const Selector<4>& ifPacket, const Packet4f& thenPacket,...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/functors/AssignmentFunctors.h
  function namespace (line 15) | namespace Eigen {
  function assignCoeff (line 72) | void assignCoeff(DstScalar& a, const SrcScalar& b) const { a -= b; }
  function assignPacket (line 75) | void assignPacket(DstScalar* a, const Packet& b) const
  function assignCoeff (line 94) | void assignCoeff(DstScalar& a, const SrcScalar& b) const { a *= b; }
  function assignPacket (line 97) | void assignPacket(DstScalar* a, const Packet& b) const
  function assignCoeff (line 115) | void assignCoeff(DstScalar& a, const SrcScalar& b) const { a /= b; }
  function assignPacket (line 118) | void assignPacket(DstScalar* a, const Packet& b) const
  function assignCoeff (line 147) | void assignCoeff(Scalar& a, const Scalar& b) const

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/functors/BinaryFunctors.h
  function namespace (line 15) | namespace Eigen {
  function const (line 100) | bool>::operator() (const bool& a, const bool& b) const { return a && b; }
  type typename (line 116) | typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_conj_pr...
  function EIGEN_STRONG_INLINE (line 119) | EIGEN_STRONG_INLINE result_type operator() (const LhsScalar& a, const Rh...
  function EIGEN_STRONG_INLINE (line 123) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  type typename (line 142) | typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_min_op>...
  function EIGEN_STRONG_INLINE (line 144) | EIGEN_STRONG_INLINE result_type operator() (const LhsScalar& a, const Rh...
  function EIGEN_STRONG_INLINE (line 148) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  type typename (line 175) | typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_max_op>...
  function EIGEN_STRONG_INLINE (line 177) | EIGEN_STRONG_INLINE result_type operator() (const LhsScalar& a, const Rh...
  function EIGEN_STRONG_INLINE (line 181) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function const (line 229) | bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a=...
  function EIGEN_STRONG_INLINE (line 231) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function const (line 239) | bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a<b;}
  function EIGEN_STRONG_INLINE (line 241) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function const (line 249) | bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a<...
  function EIGEN_STRONG_INLINE (line 251) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function const (line 259) | bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a>b;}
  function EIGEN_STRONG_INLINE (line 261) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function const (line 269) | bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a>...
  function EIGEN_STRONG_INLINE (line 271) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function const (line 279) | bool operator()(const LhsScalar& a, const RhsScalar& b) const {return !(...
  function EIGEN_STRONG_INLINE (line 281) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function const (line 289) | bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a!...
  function EIGEN_STRONG_INLINE (line 291) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& a, const Packet& b) const
  function Scalar (line 305) | const Scalar operator() (const Scalar &x, const Scalar &y) const
  type typename (line 333) | typedef typename ScalarBinaryOpTraits<Scalar,Exponent,scalar_pow_op>::Re...
  type Scalar (line 338) | typedef Scalar LhsScalar;
  type Exponent (line 339) | typedef Exponent RhsScalar;
  function EIGEN_DEVICE_FUNC (line 344) | EIGEN_DEVICE_FUNC
  function Packet (line 348) | const Packet packetOp(const Packet& a, const Packet& b) const
  type typename (line 378) | typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_differe...
  function result_type (line 386) | const result_type operator() (const LhsScalar& a, const RhsScalar& b) co...
  function Packet (line 388) | const Packet packetOp(const Packet& a, const Packet& b) const
  type typename (line 407) | typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_quotien...
  function result_type (line 415) | const result_type operator() (const LhsScalar& a, const RhsScalar& b) co...
  function Packet (line 417) | const Packet packetOp(const Packet& a, const Packet& b) const
  type scalar_boolean_and_op (line 436) | struct scalar_boolean_and_op {
  function EIGEN_STRONG_INLINE (line 440) | EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet&...
  function scalar_boolean_and_op (line 443) | struct functor_traits<scalar_boolean_and_op> {
  type scalar_boolean_or_op (line 455) | struct scalar_boolean_or_op {
  function EIGEN_STRONG_INLINE (line 459) | EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet&...
  function scalar_boolean_or_op (line 462) | struct functor_traits<scalar_boolean_or_op> {
  type scalar_boolean_xor_op (line 474) | struct scalar_boolean_xor_op {
  function EIGEN_STRONG_INLINE (line 478) | EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet&...
  function scalar_boolean_xor_op (line 481) | struct functor_traits<scalar_boolean_xor_op> {
  type typename (line 496) | typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_absolut...
  function result_type (line 504) | const result_type operator() (const LhsScalar& a, const RhsScalar& b) const
  function Packet (line 507) | const Packet packetOp(const Packet& a, const Packet& b) const
  type typename (line 528) | typedef typename BinaryOp::first_argument_type  first_argument_type;
  type typename (line 529) | typedef typename BinaryOp::second_argument_type second_argument_type;
  type typename (line 530) | typedef typename BinaryOp::result_type          result_type;
  function EIGEN_DEVICE_FUNC (line 532) | EIGEN_DEVICE_FUNC explicit bind1st_op(const first_argument_type &val) : ...
  function result_type (line 534) | const result_type operator() (const second_argument_type& b) const { ret...
  function Packet (line 537) | const Packet packetOp(const Packet& b) const
  type typename (line 547) | typedef typename BinaryOp::first_argument_type  first_argument_type;
  type typename (line 548) | typedef typename BinaryOp::second_argument_type second_argument_type;
  type typename (line 549) | typedef typename BinaryOp::result_type          result_type;
  function EIGEN_DEVICE_FUNC (line 551) | EIGEN_DEVICE_FUNC explicit bind2nd_op(const second_argument_type &val) :...
  function result_type (line 553) | const result_type operator() (const first_argument_type& a) const { retu...
  function Packet (line 556) | const Packet packetOp(const Packet& a) const

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/functors/NullaryFunctors.h
  function namespace (line 15) | namespace Eigen {
  function Scalar (line 104) | const Scalar operator() (IndexType i) const
  function EIGEN_DEVICE_FUNC (line 134) | EIGEN_DEVICE_FUNC linspaced_op(const Scalar& low, const Scalar& high, In...
  function Scalar (line 139) | const Scalar operator() (IndexType i) const { return impl(i); }
  function EIGEN_STRONG_INLINE (line 142) | EIGEN_STRONG_INLINE const Packet packetOp(IndexType i) const { return im...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/functors/StlFunctors.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/functors/TernaryFunctors.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/functors/UnaryFunctors.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 180) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const
  function Packet (line 183) | const Packet packetOp(const Packet& a) const
  function EIGEN_STRONG_INLINE (line 199) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const
  function Packet (line 202) | const Packet packetOp(const Packet& a) const
  function result_type (line 219) | result_type operator() (const Scalar& a) const { return numext::real(a); }
  function result_type (line 235) | result_type operator() (const Scalar& a) const { return numext::imag(a); }
  function Scalar (line 281) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 283) | inline Packet packetOp(const Packet& a) const { return internal::pexp(a); }
  function Scalar (line 321) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 323) | inline Packet packetOp(const Packet& a) const { return internal::pexpm1(...
  function Scalar (line 341) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 343) | inline Packet packetOp(const Packet& a) const { return internal::plog(a); }
  function Scalar (line 372) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 374) | inline Packet packetOp(const Packet& a) const { return internal::plog1p(...
  function Scalar (line 392) | inline const Scalar operator() (const Scalar& a) const { EIGEN_USING_STD...
  function Packet (line 394) | inline Packet packetOp(const Packet& a) const { return internal::plog10(...
  function Scalar (line 408) | inline const Scalar operator() (const Scalar& a) const { return Scalar(E...
  function Packet (line 410) | inline Packet packetOp(const Packet& a) const { return internal::plog2(a...
  function Scalar (line 422) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 424) | inline Packet packetOp(const Packet& a) const { return internal::psqrt(a...
  function bool (line 444) | struct scalar_sqrt_op<bool> {
  type functor_traits (line 451) | struct functor_traits
  function Scalar (line 461) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 463) | inline Packet packetOp(const Packet& a) const { return internal::prsqrt(...
  function Scalar (line 480) | inline Scalar operator() (const Scalar& a) const { return numext::cos(a); }
  function Packet (line 482) | inline Packet packetOp(const Packet& a) const { return internal::pcos(a); }
  function Scalar (line 499) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 501) | inline Packet packetOp(const Packet& a) const { return internal::psin(a); }
  function Scalar (line 519) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 521) | inline Packet packetOp(const Packet& a) const { return internal::ptan(a); }
  function Scalar (line 538) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 540) | inline Packet packetOp(const Packet& a) const { return internal::pacos(a...
  function Scalar (line 557) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 559) | inline Packet packetOp(const Packet& a) const { return internal::pasin(a...
  function Scalar (line 577) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 579) | inline Packet packetOp(const Packet& a) const { return internal::patan(a...
  function Scalar (line 597) | inline const Scalar operator()(const Scalar& a) const { return numext::t...
  function Packet (line 599) | inline Packet packetOp(const Packet& x) const { return ptanh(x); }
  function Scalar (line 635) | inline const Scalar operator()(const Scalar& a) const { return numext::a...
  function Scalar (line 650) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 652) | inline Packet packetOp(const Packet& a) const { return internal::psinh(a...
  function Scalar (line 671) | inline const Scalar operator()(const Scalar& a) const { return numext::a...
  function Scalar (line 686) | inline const Scalar operator() (const Scalar& a) const { return numext::...
  function Packet (line 688) | inline Packet packetOp(const Packet& a) const { return internal::pcosh(a...
  function Scalar (line 707) | inline const Scalar operator()(const Scalar& a) const { return numext::a...
  function Scalar (line 723) | inline Scalar operator() (const Scalar& a) const { return Scalar(1)/a; }
  function Packet (line 725) | inline const Packet packetOp(const Packet& a) const
  function Scalar (line 743) | inline Scalar operator() (const Scalar& a) const { return a*a; }
  function Packet (line 745) | inline const Packet packetOp(const Packet& a) const
  function bool (line 754) | struct scalar_square_op<bool> {
  type functor_traits (line 762) | struct functor_traits
  function Scalar (line 772) | inline Scalar operator() (const Scalar& a) const { return a*a*a; }
  function Packet (line 774) | inline const Packet packetOp(const Packet& a) const
  function bool (line 783) | struct scalar_cube_op<bool> {
  type functor_traits (line 791) | struct functor_traits
  function EIGEN_STRONG_INLINE (line 800) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { re...
  function Packet (line 802) | inline Packet packetOp(const Packet& a) const { return internal::pround(...
  function EIGEN_STRONG_INLINE (line 819) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { re...
  function Packet (line 821) | inline Packet packetOp(const Packet& a) const { return internal::pfloor(...
  function EIGEN_STRONG_INLINE (line 838) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { re...
  function Packet (line 840) | inline Packet packetOp(const Packet& a) const { return internal::print(a...
  function EIGEN_STRONG_INLINE (line 857) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { re...
  function Packet (line 859) | inline Packet packetOp(const Packet& a) const { return internal::pceil(a...
  function result_type (line 877) | result_type operator() (const Scalar& a) const {
  function result_type (line 901) | result_type operator() (const Scalar& a) const {
  function result_type (line 925) | result_type operator() (const Scalar& a) const {
  function const (line 949) | bool operator() (const bool& a) const { return !a; }
  function EIGEN_DEVICE_FUNC (line 967) | EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const
  function EIGEN_DEVICE_FUNC (line 979) | EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const
  function EIGEN_DEVICE_FUNC (line 991) | EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const
  function EIGEN_STRONG_INLINE (line 1022) | EIGEN_STRONG_INLINE T operator()(const T& x) const {
  function EIGEN_STRONG_INLINE (line 1026) | EIGEN_STRONG_INLINE
  function float (line 1046) | struct scalar_logistic_op<float> {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/GeneralBlockPanelKernel.h
  function namespace (line 16) | namespace Eigen {
  function Packet (line 366) | const Packet& get(const FixedInt<0>&) const { return B_0; }
  function Packet (line 367) | const Packet& get(const FixedInt<1>&) const { return B1; }
  function Packet (line 368) | const Packet& get(const FixedInt<2>&) const { return B2; }
  function Packet (line 369) | const Packet& get(const FixedInt<3>&) const { return B3; }
  type T3 (line 373) | typedef T3 type;
  type RhsScalar_ (line 424) | typedef RhsScalar_ RhsScalar;
  type typename (line 425) | typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ...
  type typename (line 462) | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type Lh...
  type typename (line 463) | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type Rh...
  type typename (line 464) | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type Re...
  type LhsPacket (line 465) | typedef LhsPacket LhsPacket4Packing;
  type QuadPacket (line 467) | typedef QuadPacket<RhsPacket> RhsPacketx4;
  type ResPacket (line 468) | typedef ResPacket AccPacket;
  function loadRhs (line 476) | void loadRhs(const RhsScalar* b, RhsPacketType& dest) const
  function EIGEN_STRONG_INLINE (line 481) | EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, RhsPacketx4& dest) ...
  function updateRhs (line 487) | void updateRhs(const RhsScalar* b, RhsPacketType& dest) const
  function EIGEN_STRONG_INLINE (line 492) | EIGEN_STRONG_INLINE void updateRhs(const RhsScalar*, RhsPacketx4&) const
  function EIGEN_STRONG_INLINE (line 496) | EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, RhsPacket& dest...
  function loadLhs (line 502) | void loadLhs(const LhsScalar* a, LhsPacketType& dest) const
  function loadLhsUnaligned (line 508) | void loadLhsUnaligned(const LhsScalar* a, LhsPacketType& dest) const
  function madd (line 514) | void madd(const LhsPacketType& a, const RhsPacketType& b, AccPacketType&...
  function madd (line 530) | void madd(const LhsPacketType& a, const RhsPacketx4& b, AccPacketType& c...
  function EIGEN_STRONG_INLINE (line 535) | EIGEN_STRONG_INLINE void acc(const AccPacket& c, const ResPacket& alpha,...
  function acc (line 541) | void acc(const ResPacketHalf& c, const ResPacketHalf& alpha, ResPacketHa...
  type std (line 552) | typedef std::complex<RealScalar> LhsScalar;
  type RealScalar (line 553) | typedef RealScalar RhsScalar;
  type typename (line 554) | typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ...
  type typename (line 581) | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type Lh...
  type typename (line 582) | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type Rh...
  type typename (line 583) | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type Re...
  type LhsPacket (line 584) | typedef LhsPacket LhsPacket4Packing;
  type QuadPacket (line 586) | typedef QuadPacket<RhsPacket> RhsPacketx4;
  type ResPacket (line 588) | typedef ResPacket AccPacket;
  function loadRhs (line 596) | void loadRhs(const RhsScalar* b, RhsPacketType& dest) const
  function EIGEN_STRONG_INLINE (line 601) | EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, RhsPacketx4& dest) ...
  function updateRhs (line 607) | void updateRhs(const RhsScalar* b, RhsPacketType& dest) const
  function EIGEN_STRONG_INLINE (line 612) | EIGEN_STRONG_INLINE void updateRhs(const RhsScalar*, RhsPacketx4&) const
  function EIGEN_STRONG_INLINE (line 615) | EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, RhsPacket& dest...
  function EIGEN_STRONG_INLINE (line 620) | EIGEN_STRONG_INLINE void loadRhsQuad_impl(const RhsScalar* b, RhsPacket&...
  function EIGEN_STRONG_INLINE (line 628) | EIGEN_STRONG_INLINE void loadRhsQuad_impl(const RhsScalar* b, RhsPacket&...
  function EIGEN_STRONG_INLINE (line 634) | EIGEN_STRONG_INLINE void loadLhs(const LhsScalar* a, LhsPacket& dest) const
  function loadLhsUnaligned (line 640) | void loadLhsUnaligned(const LhsScalar* a, LhsPacketType& dest) const
  function madd (line 646) | void madd(const LhsPacketType& a, const RhsPacketType& b, AccPacketType&...
  function madd_impl (line 652) | void madd_impl(const LhsPacketType& a, const RhsPacketType& b, AccPacket...
  function EIGEN_STRONG_INLINE (line 662) | EIGEN_STRONG_INLINE void madd_impl(const LhsScalar& a, const RhsScalar& ...
  function madd (line 668) | void madd(const LhsPacketType& a, const RhsPacketx4& b, AccPacketType& c...
  function acc (line 674) | void acc(const AccPacketType& c, const ResPacketType& alpha, ResPacketTy...
  type std (line 718) | typedef std::complex<typename
  type typename (line 719) | typedef typename packet_traits<Cplx>::type CplxPacket;
  type DoublePacket (line 748) | typedef DoublePacket<typename
  type std (line 764) | typedef std::complex<RealScalar>  LhsScalar;
  type std (line 765) | typedef std::complex<RealScalar>  RhsScalar;
  type std (line 766) | typedef std::complex<RealScalar>  ResScalar;
  type DoublePacket (line 792) | typedef DoublePacket<RealPacket>                 DoublePacketType;
  type typename (line 794) | typedef typename conditional<Vectorizable,ScalarPacket,Scalar>::type Lhs...
  type typename (line 795) | typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type Lhs...
  type typename (line 796) | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type...
  type typename (line 797) | typedef typename conditional<Vectorizable,ScalarPacket,Scalar>::type Res...
  type typename (line 798) | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type...
  type QuadPacket (line 801) | typedef QuadPacket<RhsPacket> RhsPacketx4;
  function EIGEN_STRONG_INLINE (line 812) | EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, ScalarPacket& dest)...
  function loadRhs (line 819) | void loadRhs(const RhsScalar* b, DoublePacket<RealPacketType>& dest) const
  function EIGEN_STRONG_INLINE (line 825) | EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, RhsPacketx4& dest) ...
  function EIGEN_STRONG_INLINE (line 834) | EIGEN_STRONG_INLINE void updateRhs(const RhsScalar* b, ScalarPacket& des...
  function updateRhs (line 841) | void updateRhs(const RhsScalar* b, DoublePacket<RealPacketType>& dest) c...
  function EIGEN_STRONG_INLINE (line 846) | EIGEN_STRONG_INLINE void updateRhs(const RhsScalar*, RhsPacketx4&) const {}
  function EIGEN_STRONG_INLINE (line 848) | EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, ResPacket& dest...
  function EIGEN_STRONG_INLINE (line 852) | EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, DoublePacketTyp...
  function EIGEN_STRONG_INLINE (line 858) | EIGEN_STRONG_INLINE void loadLhs(const LhsScalar* a, LhsPacket& dest) const
  function loadLhsUnaligned (line 864) | void loadLhsUnaligned(const LhsScalar* a, LhsPacketType& dest) const
  function acc (line 893) | void acc(const DoublePacket<RealPacketType>& c, const ResPacketType& alp...
  type RealScalar (line 930) | typedef RealScalar  LhsScalar;
  type Scalar (line 931) | typedef Scalar      RhsScalar;
  type Scalar (line 932) | typedef Scalar      ResScalar;
  type typename (line 963) | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type Lh...
  type typename (line 964) | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type Rh...
  type typename (line 965) | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type Re...
  type LhsPacket (line 966) | typedef LhsPacket LhsPacket4Packing;
  type QuadPacket (line 967) | typedef QuadPacket<RhsPacket> RhsPacketx4;
  type ResPacket (line 968) | typedef ResPacket AccPacket;
  function loadRhs (line 976) | void loadRhs(const RhsScalar* b, RhsPacketType& dest) const
  function EIGEN_STRONG_INLINE (line 981) | EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, RhsPacketx4& dest) ...
  function updateRhs (line 987) | void updateRhs(const RhsScalar* b, RhsPacketType& dest) const
  function EIGEN_STRONG_INLINE (line 992) | EIGEN_STRONG_INLINE void updateRhs(const RhsScalar*, RhsPacketx4&) const
  function EIGEN_STRONG_INLINE (line 995) | EIGEN_STRONG_INLINE void loadLhs(const LhsScalar* a, LhsPacket& dest) const
  function EIGEN_STRONG_INLINE (line 1000) | EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, RhsPacket& dest...
  function loadLhsUnaligned (line 1006) | void loadLhsUnaligned(const LhsScalar* a, LhsPacketType& dest) const
  function madd (line 1012) | void madd(const LhsPacketType& a, const RhsPacketType& b, AccPacketType&...
  function madd_impl (line 1018) | void madd_impl(const LhsPacketType& a, const RhsPacketType& b, AccPacket...
  function EIGEN_STRONG_INLINE (line 1029) | EIGEN_STRONG_INLINE void madd_impl(const LhsScalar& a, const RhsScalar& ...
  function madd (line 1035) | void madd(const LhsPacketType& a, const RhsPacketx4& b, AccPacketType& c...
  function acc (line 1041) | void acc(const AccPacketType& c, const ResPacketType& alpha, ResPacketTy...
  type gebp_traits (line 1061) | typedef gebp_traits<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs,Archit...
  type gebp_traits (line 1062) | typedef gebp_traits<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs,Archit...
  type gebp_traits (line 1063) | typedef gebp_traits<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs,Archit...
  type typename (line 1065) | typedef typename Traits::ResScalar ResScalar;
  type typename (line 1066) | typedef typename Traits::LhsPacket LhsPacket;
  type typename (line 1067) | typedef typename Traits::RhsPacket RhsPacket;
  type typename (line 1068) | typedef typename Traits::ResPacket ResPacket;
  type typename (line 1069) | typedef typename Traits::AccPacket AccPacket;
  type typename (line 1070) | typedef typename Traits::RhsPacketx4 RhsPacketx4;
  type typename (line 1072) | typedef typename RhsPanelHelper<RhsPacket, RhsPacketx4, 15>::type RhsPan...
  type gebp_traits (line 1074) | typedef gebp_traits<RhsScalar,LhsScalar,ConjugateRhs,ConjugateLhs,Archit...
  type typename (line 1076) | typedef typename SwappedTraits::ResScalar SResScalar;
  type typename (line 1077) | typedef typename SwappedTraits::LhsPacket SLhsPacket;
  type typename (line 1078) | typedef typename SwappedTraits::RhsPacket SRhsPacket;
  type typename (line 1079) | typedef typename SwappedTraits::ResPacket SResPacket;
  type typename (line 1080) | typedef typename SwappedTraits::AccPacket SAccPacket;
  type typename (line 1082) | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
  type typename (line 1083) | typedef typename HalfTraits::RhsPacket RhsPacketHalf;
  type typename (line 1084) | typedef typename HalfTraits::ResPacket ResPacketHalf;
  type typename (line 1085) | typedef typename HalfTraits::AccPacket AccPacketHalf;
  type typename (line 1087) | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
  type typename (line 1088) | typedef typename QuarterTraits::RhsPacket RhsPacketQuarter;
  type typename (line 1089) | typedef typename QuarterTraits::ResPacket ResPacketQuarter;
  type typename (line 1090) | typedef typename QuarterTraits::AccPacket AccPacketQuarter;
  type typename (line 1092) | typedef typename DataMapper::LinearMapper LinearMapper;
  type gebp_traits (line 1115) | typedef gebp_traits<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs,Archit...
  type gebp_traits (line 1116) | typedef gebp_traits<RhsScalar,LhsScalar,ConjugateRhs,ConjugateLhs,Archit...
  type typename (line 1118) | typedef typename Traits::ResScalar ResScalar;
  type typename (line 1119) | typedef typename SwappedTraits::LhsPacket SLhsPacket;
  type typename (line 1120) | typedef typename SwappedTraits::RhsPacket SRhsPacket;
  type typename (line 1121) | typedef typename SwappedTraits::ResPacket SResPacket;
  type typename (line 1122) | typedef typename SwappedTraits::AccPacket SAccPacket;
  function EIGEN_STRONG_INLINE (line 1124) | EIGEN_STRONG_INLINE void operator()(const DataMapper& res, SwappedTraits...
  type gebp_traits (line 1145) | typedef gebp_traits<RhsScalar,LhsScalar,ConjugateRhs,ConjugateLhs,Archit...
  type typename (line 1147) | typedef typename Traits::ResScalar ResScalar;
  type typename (line 1148) | typedef typename SwappedTraits::LhsPacket SLhsPacket;
  type typename (line 1149) | typedef typename SwappedTraits::RhsPacket SRhsPacket;
  type typename (line 1150) | typedef typename SwappedTraits::ResPacket SResPacket;
  type typename (line 1151) | typedef typename SwappedTraits::AccPacket SAccPacket;
  function EIGEN_STRONG_INLINE (line 1153) | EIGEN_STRONG_INLINE void operator()(const DataMapper& res, SwappedTraits...
  type typename (line 1194) | typedef typename GEBPTraits::RhsPacketx4 RhsPacketx4;
  function EIGEN_STRONG_INLINE (line 1196) | EIGEN_STRONG_INLINE void peeled_kc_onestep(Index K, const LhsScalar* blA...
  function EIGEN_STRONG_INLINE (line 1212) | EIGEN_STRONG_INLINE void operator()(
  type typename (line 1979) | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename
  type typename (line 1980) | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename
  type typename (line 1981) | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename
  type typename (line 1982) | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename
  type typename (line 2102) | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>...
  type typename (line 2258) | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>...
  type typename (line 2382) | typedef typename DataMapper::LinearMapper LinearMapper;
  type typename (line 2506) | typedef typename unpacket_traits<Packet>::half HalfPacket;
  type typename (line 2507) | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>...
  type typename (line 2508) | typedef typename DataMapper::LinearMapper LinearMapper;
  function l1CacheSize (line 2609) | inline std::ptrdiff_t l1CacheSize()
  function l2CacheSize (line 2618) | inline std::ptrdiff_t l2CacheSize()
  function l3CacheSize (line 2628) | inline std::ptrdiff_t l3CacheSize()
  function setCpuCacheSizes (line 2640) | inline void setCpuCacheSizes(std::ptrdiff_t l1, std::ptrdiff_t l2, std::...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/GeneralMatrixMatrix.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 62) | typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ...
  type const_blas_data_mapper (line 72) | typedef const_blas_data_mapper<RhsScalar, Index, RhsStorageOrder> RhsMap...
  type blas_data_mapper (line 73) | typedef blas_data_mapper<typename
  function initParallelSession (line 221) | void initParallelSession(Index num_threads) const
  type typename (line 239) | typedef typename Gemm::Traits Traits;
  type LhsScalar_ (line 255) | typedef LhsScalar_ LhsScalar;
  type RhsScalar_ (line 256) | typedef RhsScalar_ RhsScalar;
  function LhsScalar (line 276) | inline LhsScalar* blockA() { return m_blockA; }
  function RhsScalar (line 277) | inline RhsScalar* blockB() { return m_blockB; }
  type typename (line 291) | typedef typename conditional<Transpose,RhsScalar_,LhsScalar_>::type LhsS...
  type typename (line 292) | typedef typename conditional<Transpose,LhsScalar_,RhsScalar_>::type RhsS...
  type gebp_traits (line 293) | typedef gebp_traits<LhsScalar,RhsScalar> Traits;
  function initParallel (line 323) | void initParallel(Index, Index, Index, Index)
  function allocateA (line 326) | inline void allocateA() {}
  function allocateB (line 327) | inline void allocateB() {}
  function allocateAll (line 328) | inline void allocateAll() {}
  type typename (line 340) | typedef typename conditional<Transpose,RhsScalar_,LhsScalar_>::type LhsS...
  type typename (line 341) | typedef typename conditional<Transpose,LhsScalar_,RhsScalar_>::type RhsS...
  type gebp_traits (line 342) | typedef gebp_traits<LhsScalar,RhsScalar> Traits;
  function initParallel (line 369) | void initParallel(Index rows, Index cols, Index depth, Index num_threads)
  function allocateA (line 382) | void allocateA()
  function allocateB (line 388) | void allocateB()
  function allocateAll (line 394) | void allocateAll()
  function namespace (line 409) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h
  function namespace (line 15) | namespace Eigen {
  type gebp_traits (line 143) | typedef gebp_traits<LhsScalar,RhsScalar,ConjLhs,ConjRhs> Traits;
  type typename (line 144) | typedef typename Traits::ResScalar ResScalar;
  type blas_data_mapper (line 151) | typedef blas_data_mapper<ResScalar, Index, ColMajor, Unaligned, ResInner...
  type blas_data_mapper (line 152) | typedef blas_data_mapper<ResScalar, Index, ColMajor, Unaligned> BufferMa...
  type typename (line 213) | typedef typename internal::remove_all<typename
  type internal (line 214) | typedef internal::blas_traits<Lhs> LhsBlasTraits;
  type typename (line 215) | typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhs;
  type typename (line 216) | typedef typename internal::remove_all<ActualLhs>::type _ActualLhs;
  type typename (line 219) | typedef typename internal::remove_all<typename
  type internal (line 220) | typedef internal::blas_traits<Rhs> RhsBlasTraits;
  type typename (line 221) | typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhs;
  type typename (line 222) | typedef typename internal::remove_all<ActualRhs>::type _ActualRhs;
  type internal (line 260) | typedef internal::blas_traits<Lhs> LhsBlasTraits;
  type typename (line 261) | typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhs;
  type typename (line 262) | typedef typename internal::remove_all<ActualLhs>::type _ActualLhs;
  type typename (line 265) | typedef typename internal::remove_all<typename
  type internal (line 266) | typedef internal::blas_traits<Rhs> RhsBlasTraits;
  type typename (line 267) | typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhs;
  type typename (line 268) | typedef typename internal::remove_all<ActualRhs>::type _ActualRhs;
  type internal (line 288) | typedef internal::gemm_blocking_space<IsRowMajor ? RowMajor : ColMajor,t...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/GeneralMatrixMatrixTriangular_BLAS.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/GeneralMatrixMatrix_BLAS.h
  function namespace (line 40) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/GeneralMatrixVector.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 37) | typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ...
  type typename (line 61) | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type Lh...
  type typename (line 62) | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type Rh...
  type typename (line 63) | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type Re...
  type gemv_traits (line 84) | typedef gemv_traits<LhsScalar,RhsScalar,GEMVPacketHalf> HalfTraits;
  type gemv_traits (line 85) | typedef gemv_traits<LhsScalar,RhsScalar,GEMVPacketQuarter> QuarterTraits;
  type typename (line 87) | typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ...
  type typename (line 89) | typedef typename Traits::LhsPacket LhsPacket;
  type typename (line 90) | typedef typename Traits::RhsPacket RhsPacket;
  type typename (line 91) | typedef typename Traits::ResPacket ResPacket;
  type typename (line 93) | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
  type typename (line 94) | typedef typename HalfTraits::RhsPacket RhsPacketHalf;
  type typename (line 95) | typedef typename HalfTraits::ResPacket ResPacketHalf;
  type typename (line 97) | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
  type typename (line 98) | typedef typename QuarterTraits::RhsPacket RhsPacketQuarter;
  type typename (line 99) | typedef typename QuarterTraits::ResPacket ResPacketQuarter;
  type gemv_traits (line 303) | typedef gemv_traits<LhsScalar,RhsScalar,GEMVPacketHalf> HalfTraits;
  type gemv_traits (line 304) | typedef gemv_traits<LhsScalar,RhsScalar,GEMVPacketQuarter> QuarterTraits;
  type typename (line 306) | typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ...
  type typename (line 308) | typedef typename Traits::LhsPacket LhsPacket;
  type typename (line 309) | typedef typename Traits::RhsPacket RhsPacket;
  type typename (line 310) | typedef typename Traits::ResPacket ResPacket;
  type typename (line 312) | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
  type typename (line 313) | typedef typename HalfTraits::RhsPacket RhsPacketHalf;
  type typename (line 314) | typedef typename HalfTraits::ResPacket ResPacketHalf;
  type typename (line 316) | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
  type typename (line 317) | typedef typename QuarterTraits::RhsPacket RhsPacketQuarter;
  type typename (line 318) | typedef typename QuarterTraits::ResPacket ResPacketQuarter;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/GeneralMatrixVector_BLAS.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/Parallelizer.h
  function namespace (line 19) | namespace Eigen {
  function initParallel (line 55) | inline void initParallel()
  function nbThreads (line 65) | inline int nbThreads()
  function setNbThreads (line 74) | inline void setNbThreads(int v)
  function namespace (line 79) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/SelfadjointMatrixMatrix.h
  function namespace (line 15) | namespace Eigen {
  type gebp_traits (line 354) | typedef gebp_traits<Scalar,Scalar> Traits;
  type const_blas_data_mapper (line 356) | typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
  type const_blas_data_mapper (line 357) | typedef const_blas_data_mapper<Scalar, Index, (LhsStorageOrder == RowMaj...
  type const_blas_data_mapper (line 358) | typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
  type blas_data_mapper (line 359) | typedef blas_data_mapper<typename
  type gebp_traits (line 449) | typedef gebp_traits<Scalar,Scalar> Traits;
  type const_blas_data_mapper (line 451) | typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
  type blas_data_mapper (line 452) | typedef blas_data_mapper<typename
  function namespace (line 490) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/SelfadjointMatrixVector.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 163) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/SelfadjointMatrixVector_BLAS.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/SelfadjointProduct.h
  function namespace (line 21) | namespace Eigen {
  type internal (line 58) | typedef internal::blas_traits<OtherType> OtherBlasTraits;
  type typename (line 59) | typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
  type typename (line 60) | typedef typename internal::remove_all<ActualOtherType>::type _ActualOthe...
  type internal (line 90) | typedef internal::blas_traits<OtherType> OtherBlasTraits;
  type typename (line 91) | typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
  type typename (line 92) | typedef typename internal::remove_all<ActualOtherType>::type _ActualOthe...
  type internal (line 105) | typedef internal::gemm_blocking_space<IsRowMajor ? RowMajor : ColMajor,S...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/SelfadjointRank2Update.h
  function namespace (line 15) | namespace Eigen {
  type internal (line 66) | typedef internal::blas_traits<DerivedU> UBlasTraits;
  type typename (line 67) | typedef typename UBlasTraits::DirectLinearAccessType ActualUType;
  type typename (line 68) | typedef typename internal::remove_all<ActualUType>::type _ActualUType;
  type internal (line 71) | typedef internal::blas_traits<DerivedV> VBlasTraits;
  type typename (line 72) | typedef typename VBlasTraits::DirectLinearAccessType ActualVType;
  type typename (line 73) | typedef typename internal::remove_all<ActualVType>::type _ActualVType;
  type typename (line 85) | typedef typename internal::remove_all<typename
  type typename (line 86) | typedef typename internal::remove_all<typename

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/TriangularMatrixMatrix.h
  function namespace (line 15) | namespace Eigen {
  type const_blas_data_mapper (line 126) | typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
  type const_blas_data_mapper (line 127) | typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
  type blas_data_mapper (line 128) | typedef blas_data_mapper<typename
  type const_blas_data_mapper (line 285) | typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
  type const_blas_data_mapper (line 286) | typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
  type blas_data_mapper (line 287) | typedef blas_data_mapper<typename
  function namespace (line 405) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/TriangularMatrixMatrix_BLAS.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/TriangularMatrixVector.h
  function namespace (line 15) | namespace Eigen {
  type Map (line 116) | typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterSt...
  function LhsMap (line 117) | const LhsMap lhs(_lhs,rows,cols,OuterStride<>(lhsStride));
  function namespace (line 173) | namespace internal {
  function namespace (line 202) | namespace internal {
  function run (line 292) | void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/TriangularMatrixVector_BLAS.h
  type VectorX (line 98) | typedef VectorX##EIGPREFIX VectorRhs;
  type VectorX (line 187) | typedef VectorX##EIGPREFIX VectorRhs;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/TriangularSolverMatrix.h
  function namespace (line 15) | namespace Eigen {
  type const_blas_data_mapper (line 58) | typedef const_blas_data_mapper<Scalar, Index, TriStorageOrder> TriMapper;
  type blas_data_mapper (line 59) | typedef blas_data_mapper<Scalar, Index, ColMajor, Unaligned, OtherInnerS...
  type gebp_traits (line 63) | typedef gebp_traits<Scalar,Scalar> Traits;
  type typename (line 209) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type blas_data_mapper (line 211) | typedef blas_data_mapper<Scalar, Index, ColMajor, Unaligned, OtherInnerS...
  type const_blas_data_mapper (line 212) | typedef const_blas_data_mapper<Scalar, Index, TriStorageOrder> RhsMapper;
  type gebp_traits (line 216) | typedef gebp_traits<Scalar,Scalar> Traits;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/TriangularSolverMatrix_BLAS.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/products/TriangularSolverVector.h
  function namespace (line 15) | namespace Eigen {
  type Map (line 40) | typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterSt...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/BlasUtil.h
  function namespace (line 18) | namespace Eigen {
  function store (line 135) | void store(Scalar *to, const Index stride, Index i, Index j, const Packe...
  type BlasVectorMapper (line 170) | typedef BlasVectorMapper<Scalar, Index> VectorMapper;
  function LinearMapper (line 184) | LinearMapper getLinearMapper(Index i, Index j) const {
  function VectorMapper (line 188) | VectorMapper getVectorMapper(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 199) | EIGEN_ALWAYS_INLINE PacketType loadPacket(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 204) | EIGEN_ALWAYS_INLINE PacketT load(Index i, Index j) const {
  function scatterPacket (line 209) | void scatterPacket(Index i, Index j, const SubPacket &p) const {
  function EIGEN_ALWAYS_INLINE (line 214) | EIGEN_ALWAYS_INLINE SubPacket gatherPacket(Index i, Index j) const {
  function EIGEN_DEVICE_FUNC (line 219) | EIGEN_DEVICE_FUNC const Scalar* data() const { return m_data; }
  function EIGEN_DEVICE_FUNC (line 221) | EIGEN_DEVICE_FUNC Index firstAligned(Index size) const {
  function storePacketBlock (line 229) | void storePacketBlock(Index i, Index j, const PacketBlock<SubPacket, n> ...
  function EIGEN_ALWAYS_INLINE (line 247) | EIGEN_ALWAYS_INLINE void prefetch(int i) const {
  function EIGEN_ALWAYS_INLINE (line 256) | EIGEN_ALWAYS_INLINE PacketType loadPacket(Index i) const {
  function storePacket (line 261) | void storePacket(Index i, const PacketType &p) const {
  function blas_data_mapper (line 278) | blas_data_mapper
  function LinearMapper (line 283) | LinearMapper getLinearMapper(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 293) | EIGEN_ALWAYS_INLINE PacketType loadPacket(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 298) | EIGEN_ALWAYS_INLINE PacketT load(Index i, Index j) const {
  function scatterPacket (line 303) | void scatterPacket(Index i, Index j, const SubPacket &p) const {
  function EIGEN_ALWAYS_INLINE (line 308) | EIGEN_ALWAYS_INLINE SubPacket gatherPacket(Index i, Index j) const {
  function store (line 317) | void store(const blas_data_mapper<Scalar, Index, StorageOrder, Alignment...
  function store (line 331) | void store(const blas_data_mapper<Scalar, Index, StorageOrder, Alignment...
  function store (line 346) | void store(const blas_data_mapper<Scalar, Index, StorageOrder, Alignment...
  function store (line 367) | void store(const blas_data_mapper<Scalar, Index, StorageOrder, Alignment...
  function store (line 374) | void store(const blas_data_mapper<Scalar, Index, StorageOrder, Alignment...
  function storePacketBlock (line 379) | void storePacketBlock(Index i, Index j, const PacketBlock<SubPacket, n>&...
  type typename (line 406) | typedef typename traits<XprType>::Scalar Scalar;
  type XprType (line 407) | typedef const XprType& ExtractType;
  type XprType (line 408) | typedef XprType _ExtractType;
  type typename (line 419) | typedef typename conditional<bool(HasUsableDirectAccess),
  function EIGEN_DEVICE_FUNC (line 424) | static inline EIGEN_DEVICE_FUNC const Scalar extractScalarFactor(const X...
  type CwiseUnaryOp (line 433) | typedef CwiseUnaryOp<scalar_conjugate_op<Scalar>, NestedXpr> XprType;
  type typename (line 434) | typedef typename Base::ExtractType ExtractType;
  function ExtractType (line 440) | static inline ExtractType extract(const XprType& x) { return Base::extra...
  function Scalar (line 441) | static inline Scalar extractScalarFactor(const XprType& x) { return conj...
  type blas_traits (line 452) | typedef blas_traits<NestedXpr> Base;
  type CwiseBinaryOp (line 453) | typedef CwiseBinaryOp<scalar_product_op<Scalar>, const
  type typename (line 454) | typedef typename Base::ExtractType ExtractType;
  function EIGEN_DEVICE_FUNC (line 456) | static inline EIGEN_DEVICE_FUNC Scalar extractScalarFactor(const XprType...
  type blas_traits (line 466) | typedef blas_traits<NestedXpr> Base;
  type CwiseBinaryOp (line 467) | typedef CwiseBinaryOp<scalar_product_op<Scalar>, NestedXpr, const
  type typename (line 468) | typedef typename Base::ExtractType ExtractType;
  function ExtractType (line 469) | static inline ExtractType extract(const XprType& x) { return Base::extra...
  function Scalar (line 470) | static inline Scalar extractScalarFactor(const XprType& x)
  type blas_traits (line 487) | typedef blas_traits<NestedXpr> Base;
  type CwiseUnaryOp (line 488) | typedef CwiseUnaryOp<scalar_opposite_op<Scalar>, NestedXpr> XprType;
  type typename (line 489) | typedef typename Base::ExtractType ExtractType;
  function ExtractType (line 490) | static inline ExtractType extract(const XprType& x) { return Base::extra...
  function Scalar (line 491) | static inline Scalar extractScalarFactor(const XprType& x)
  type typename (line 500) | typedef typename NestedXpr::Scalar Scalar;
  type blas_traits (line 501) | typedef blas_traits<NestedXpr> Base;
  type Transpose (line 502) | typedef Transpose<NestedXpr> XprType;
  type Transpose (line 503) | typedef Transpose<const typename
  type Transpose (line 504) | typedef Transpose<const typename
  type typename (line 505) | typedef typename conditional<bool(Base::HasUsableDirectAccess),
  function ExtractType (line 512) | static inline ExtractType extract(const XprType& x) { return ExtractType...
  function Scalar (line 513) | static inline Scalar extractScalarFactor(const XprType& x) { return Base...
  function typename (line 523) | static const typename T::Scalar* run(const T& m)
  function typename (line 531) | static typename T::Scalar* run(const T&) { return 0; }
  function typename (line 535) | const typename T::Scalar* extract_data(const T& m)
  function ResScalar (line 547) | static ResScalar run(const Lhs& lhs, const Rhs& rhs)
  function ResScalar (line 551) | static ResScalar run(const ResScalar& alpha, const Lhs& lhs, const Rhs& ...
  function EIGEN_ALWAYS_INLINE (line 559) | EIGEN_ALWAYS_INLINE static bool run(const Lhs& lhs, const Rhs& rhs)
  function run (line 563) | static bool run(const bool& alpha, const Lhs& lhs, const Rhs& rhs)
  function EIGEN_ALWAYS_INLINE (line 570) | EIGEN_ALWAYS_INLINE ResScalar combine_scalar_factors(const ResScalar& al...
  function EIGEN_ALWAYS_INLINE (line 575) | EIGEN_ALWAYS_INLINE ResScalar combine_scalar_factors(const Lhs& lhs, con...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/ConfigureVectorization.h
  function namespace (line 479) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/Constants.h
  type UpLoType (line 209) | enum UpLoType {
  type AlignmentType (line 234) | enum AlignmentType {
  type DirectionType (line 263) | enum DirectionType {
  type TraversalType (line 277) | enum TraversalType {
  type UnrollingType (line 299) | enum UnrollingType {
  type SpecializedType (line 311) | enum SpecializedType {
  type StorageOptions (line 319) | enum StorageOptions {
  type SideType (line 332) | enum SideType {
  type NaNPropagationOptions (line 341) | enum NaNPropagationOptions {
  type NoChange_t (line 362) | enum NoChange_t   { NoChange }
  type Sequential_t (line 363) | enum Sequential_t { Sequential }
  type Default_t (line 364) | enum Default_t    { Default }
  type AmbiVectorMode (line 368) | enum AmbiVectorMode {
  type AccessorLevels (line 376) | enum AccessorLevels {
  type DecompositionOptions (line 389) | enum DecompositionOptions {
  type QRPreconditioners (line 425) | enum QRPreconditioners {
  type ComputationInfo (line 442) | enum ComputationInfo {
  type TransformTraits (line 457) | enum TransformTraits {
  function namespace (line 471) | namespace Architecture
  type ProductImplType (line 501) | enum ProductImplType
  type Action (line 506) | enum Action {GetAction, SetAction}
  type Dense (line 509) | struct Dense {}
  type Sparse (line 512) | struct Sparse {}
  type SolverStorage (line 515) | struct SolverStorage {}
  type PermutationStorage (line 518) | struct PermutationStorage {}
  type TranspositionsStorage (line 521) | struct TranspositionsStorage {}
  type MatrixXpr (line 524) | struct MatrixXpr {}
  type ArrayXpr (line 527) | struct ArrayXpr {}
  type HomogeneousShape (line 532) | struct HomogeneousShape       { static std::string debugName() { return ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/ForwardDeclarations.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/IndexedViewHelper.h
  function namespace (line 16) | namespace Eigen {
  function SingleRange (line 96) | struct get_compile_time_incr<SingleRange> {
  type SingleRange (line 106) | typedef SingleRange type;
  type SingleRange (line 111) | typedef SingleRange type;
  type all_t (line 125) | struct all_t { all_t() {} }
  function EIGEN_CONSTEXPR (line 132) | EIGEN_CONSTEXPR Index operator[](Index i) const EIGEN_NOEXCEPT { return ...
  function namespace (line 154) | namespace placeholders {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/IntegralConstant.h
  type T (line 166) | typedef T type;
  type Index (line 169) | typedef Index type;
  type Index (line 179) | typedef Index type;
  type FixedInt (line 182) | typedef FixedInt<N> type;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/MKL_support.h
  function namespace (line 125) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/Macros.h
  function namespace (line 1004) | namespace Eigen {
  function namespace (line 1015) | namespace Eigen {
  function namespace (line 1073) | namespace Eigen {
  function namespace (line 1443) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/Memory.h
  function namespace (line 64) | namespace Eigen {
  function conditional_aligned_free (line 259) | inline void conditional_aligned_free(void *ptr)
  function destruct_elements_of_array (line 287) | inline void destruct_elements_of_array(T *ptr, std::size_t size)
  function T (line 297) | inline T* construct_elements_of_array(T *ptr, std::size_t size)
  function check_size_for_overflow (line 318) | void check_size_for_overflow(std::size_t size)
  function T (line 328) | inline T* aligned_new(std::size_t size)
  function T (line 344) | inline T* conditional_aligned_new(std::size_t size)
  function aligned_delete (line 363) | inline void aligned_delete(T *ptr, std::size_t size)
  function conditional_aligned_delete (line 372) | inline void conditional_aligned_delete(T *ptr, std::size_t size)
  function T (line 378) | inline T* conditional_aligned_realloc_new(T* pts, std::size_t new_size, ...
  function T (line 401) | inline T* conditional_aligned_new_auto(std::size_t size)
  function conditional_aligned_delete_auto (line 444) | inline void conditional_aligned_delete_auto(T *ptr, std::size_t size)
  function Index (line 471) | inline Index first_aligned(const Scalar* array, Index size)
  function Index (line 499) | inline Index first_default_aligned(const Scalar* array, Index size)
  function Index (line 508) | Index first_multiple(Index size, Index base)
  function smart_copy (line 517) | void smart_copy(const T* start, const T* end, T* target)
  function EIGEN_DEVICE_FUNC (line 523) | EIGEN_DEVICE_FUNC static inline void run(const T* start, const T* end, T...
  function EIGEN_DEVICE_FUNC (line 534) | EIGEN_DEVICE_FUNC static inline void run(const T* start, const T* end, T...
  function run (line 547) | static inline void run(const T* start, const T* end, T* target)
  function run (line 557) | static inline void run(const T* start, const T* end, T* target)
  function T (line 572) | T* smart_move(T* start, T* end, T* target)
  function T (line 577) | T* smart_move(T* start, T* end, T* target)
  function EIGEN_DEVICE_FUNC (line 624) | EIGEN_DEVICE_FUNC
  type typename (line 646) | typedef typename Xpr::Scalar Scalar;
  type typename (line 647) | typedef typename nested_eval<Xpr,NbEvaluations>::type ObjectType;
  function EIGEN_DEVICE_FUNC (line 650) | EIGEN_DEVICE_FUNC
  type typename (line 662) | typedef typename Xpr::Scalar Scalar;
  type typename (line 663) | typedef typename plain_object_eval<Xpr>::type PlainObject;
  type Map (line 664) | typedef Map<PlainObject,EIGEN_DEFAULT_ALIGN_BYTES> ObjectType;
  function EIGEN_DEVICE_FUNC (line 667) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 677) | EIGEN_DEVICE_FUNC
  function T (line 705) | const T& operator[](std::ptrdiff_t i) const { return m_ptr[i]; }
  function T (line 707) | const T* ptr() const { return m_ptr; }
  function operator (line 708) | operator const T*() const { return m_ptr; }
  function delete (line 835) | void operator delete(void *ptr, const std::nothrow_t&) EIGEN_NO_THROW { \
  type eigen_aligned_operator_new_marker_type (line 838) | typedef void eigen_aligned_operator_new_marker_type;
  type T (line 885) | typedef T*              pointer;
  type T (line 886) | typedef const T*        const_pointer;
  type T (line 887) | typedef T&              reference;
  type T (line 888) | typedef const T&        const_reference;
  type T (line 889) | typedef T               value_type;
  type aligned_allocator (line 894) | typedef aligned_allocator<U> other;
  function deallocate (line 921) | void deallocate(pointer p, size_type /*num*/)
  function namespace (line 952) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/Meta.h
  function namespace (line 37) | namespace Eigen {
  function namespace (line 54) | namespace Eigen {
  function namespace (line 68) | namespace Eigen {
  type T (line 218) | typedef const T type;
  type T (line 219) | typedef T const& type;
  type T (line 220) | typedef T const* type;
  type T (line 221) | typedef T const* const type;
  type T (line 222) | typedef T const* const type;
  type any_conversion (line 234) | struct any_conversion
  type yes (line 239) | struct yes {int a[1];}
  type no (line 240) | struct no  {int a[2];}
  type T (line 280) | typedef T type;
  function namespace (line 288) | namespace device {
  function class (line 426) | class noncopyable
  function Index (line 483) | Index size(const T& x) { return x.size(); }
  function Index (line 486) | Index size(const T (&) [N]) { return N; }
  type typename (line 508) | typedef typename std::invoke_result<F, ArgTypes...>::type type1;
  type typename (line 509) | typedef typename remove_all<type1>::type type;
  type typename (line 513) | typedef typename std::result_of<T>::type type1;
  type typename (line 514) | typedef typename remove_all<type1>::type type;
  type has_none (line 519) | struct has_none {int a[1];}
  type has_std_result_type (line 520) | struct has_std_result_type {int a[2];}
  type has_tr1_result (line 521) | struct has_tr1_result {int a[3];}
  type typename (line 527) | typedef typename Func::result_type type;
  type typename (line 530) | typedef typename Func::template
  type typename (line 542) | typedef typename nullary_result_of_select<Func, FunctorType>::type type;
  type typename (line 546) | typedef typename internal::remove_all<ArgType>::type type;
  type typename (line 564) | typedef typename unary_result_of_select<Func, ArgType, FunctorType>::typ...
  type typename (line 568) | typedef typename internal::remove_all<ArgType0>::type type;
  type typename (line 588) | typedef typename binary_result_of_select<Func, ArgType0, ArgType1, Funct...
  type typename (line 592) | typedef typename internal::remove_all<ArgType0>::type type;
  type typename (line 612) | typedef typename ternary_result_of_select<Func, ArgType0, ArgType1, ArgT...
  type typename (line 620) | typedef typename std::invoke_result<F, ArgTypes...>::type type1;
  type typename (line 621) | typedef typename remove_all<type1>::type type;
  type typename (line 626) | typedef typename result_of<F(ArgTypes...)>::type type1;
  type typename (line 627) | typedef typename remove_all<type1>::type type;
  type typename (line 632) | typedef typename result_of<F(ArgType0, ArgType1, ArgType2)>::type type1;
  type typename (line 633) | typedef typename remove_all<type1>::type type;
  type typename (line 639) | typedef typename remove_all<type1>::type type;
  type typename (line 645) | typedef typename remove_all<type1>::type type;
  type typename (line 651) | typedef typename remove_all<type1>::type type;
  function EIGEN_CONSTEXPR (line 668) | static EIGEN_CONSTEXPR size_t size() EIGEN_NOEXCEPT { return sizeof...(I...
  type meta_yes (line 709) | struct meta_yes { char a[1]; }
  type meta_no (line 710) | struct meta_no  { char a[2]; }
  function meta_yes (line 727) | meta_yes testFunctor(C const *,typename enable_if<(sizeof(return_ptr<C>(...
  type type (line 812) | struct type {
  function namespace (line 819) | namespace numext {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/ReshapedHelper.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/Serializer.h
  function namespace (line 19) | namespace Eigen {
  function serialize_size (line 175) | size_t serialize_size(const Args&... args) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/SymbolicIndex.h
  function namespace (line 15) | namespace Eigen {
  function Index (line 233) | Index eval_impl(const SymbolValue<Tag> &values) const { return values.va...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Core/util/XprHelper.h
  function namespace (line 27) | namespace Eigen {
  function class (line 111) | class no_assignment_operator
  type typename (line 210) | typedef typename find_best_packet_helper<Size,typename
  type typename (line 301) | typedef typename plain_matrix_type_dense<T,typename
  type typename (line 305) | typedef typename T::PlainObject type;
  type typename (line 338) | typedef typename plain_matrix_type<T>::type type;
  type typename (line 351) | typedef typename plain_matrix_type<T>::type type;
  type typename (line 374) | typedef typename plain_matrix_type_dense<T,typename
  type Matrix (line 387) | typedef Matrix<typename
  type Matrix (line 405) | typedef Matrix<typename
  type typename (line 420) | typedef typename conditional<
  type typename (line 426) | typedef typename conditional<
  type typename (line 437) | typedef typename conditional<
  type typename (line 474) | typedef typename conditional<Evaluate, PlainObject, typename
  function T (line 479) | inline T* const_cast_ptr(const T* ptr)
  type typename (line 513) | typedef typename XprType::Scalar CurrentScalarType;
  type typename (line 514) | typedef typename remove_all<CastType>::type _CastType;
  type typename (line 515) | typedef typename _CastType::Scalar NewScalarType;
  type typename (line 516) | typedef typename conditional<is_same<CurrentScalarType,NewScalarType>::v...
  type A (line 524) | typedef A ret;
  type A (line 528) | typedef A ret;
  type A (line 532) | typedef A ret;
  type Matrix (line 603) | typedef Matrix<Scalar, 1, ExpressionType::ColsAtCompileTime,
  type Array (line 605) | typedef Array<Scalar, 1, ExpressionType::ColsAtCompileTime,
  type typename (line 608) | typedef typename conditional<
  type Matrix (line 618) | typedef Matrix<Scalar, ExpressionType::RowsAtCompileTime, 1,
  type Array (line 620) | typedef Array<Scalar, ExpressionType::RowsAtCompileTime, 1,
  type typename (line 623) | typedef typename conditional<
  type Matrix (line 636) | typedef Matrix<Scalar, diag_size, 1, ExpressionType::PlainObject::Options
  type Array (line 637) | typedef Array<Scalar, diag_size, 1, ExpressionType::PlainObject::Options
  type typename (line 639) | typedef typename conditional<
  type Array (line 651) | typedef Array<Scalar,  traits<Expr>::RowsAtCompileTime,   traits<Expr>::...
  type Matrix (line 654) | typedef Matrix<Scalar,  traits<Expr>::RowsAtCompileTime,   traits<Expr>:...
  type CwiseNullaryOp (line 657) | typedef CwiseNullaryOp<scalar_constant_op<Scalar>, const
  type glue_shapes (line 688) | struct glue_shapes
  type TriangularShape (line 688) | typedef TriangularShape type;
  function is_same_dense (line 697) | bool is_same_dense(const T1 &mat1, const T2 &mat2, typename enable_if<po...
  function is_same_dense (line 704) | bool is_same_dense(const T1 &, const T2 &, typename enable_if<!possibly_...
  type ScalarBinaryOpTraits (line 803) | struct ScalarBinaryOpTraits
  type T (line 813) | typedef T ReturnType;
  type T (line 819) | typedef T ReturnType;
  type T (line 824) | typedef T ReturnType;
  type T (line 831) | typedef T ReturnType;
  type T (line 838) | typedef T ReturnType;
  type ReturnType (line 845) | typedef void ReturnType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/ComplexEigenSolver.h
  function namespace (line 19) | namespace Eigen {
  function EigenvalueType (line 184) | const EigenvalueType& eigenvalues() const
  function Index (line 235) | Index getMaxIterations()

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/ComplexSchur.h
  function namespace (line 19) | namespace Eigen {
  function ComplexMatrixType (line 164) | const ComplexMatrixType& matrixT() const
  function Index (line 237) | Index getMaxIterations()
  function namespace (line 354) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/ComplexSchur_LAPACKE.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/EigenSolver.h
  function namespace (line 18) | namespace Eigen {
  function EigenvalueType (line 246) | const EigenvalueType& eigenvalues() const
  function Index (line 297) | Index getMaxIterations()
  type Matrix (line 321) | typedef Matrix<Scalar, ColsAtCompileTime, 1, Options

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h
  function namespace (line 19) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h
  function namespace (line 18) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/HessenbergDecomposition.h
  function namespace (line 16) | namespace Eigen {
  function CoeffVectorType (line 181) | const CoeffVectorType& householderCoefficients() const
  type typename (line 273) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function namespace (line 324) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/RealQZ.h
  function namespace (line 15) | namespace Eigen {
  function MatrixType (line 144) | const MatrixType& matrixS() const {
  type Matrix (line 205) | typedef Matrix<Scalar,3,1> Vector3s;
  type Matrix (line 206) | typedef Matrix<Scalar,2,1> Vector2s;
  type Matrix (line 207) | typedef Matrix<Scalar,2,2> Matrix2s;
  type JacobiRotation (line 208) | typedef JacobiRotation<Scalar> JRs;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/RealSchur.h
  function namespace (line 18) | namespace Eigen {
  function MatrixType (line 146) | const MatrixType& matrixT() const
  function Index (line 215) | Index getMaxIterations()
  type Matrix (line 238) | typedef Matrix<Scalar,3,1> Vector3s;
  function typename (line 364) | typename MatrixType::Scalar RealSchur<MatrixType>::computeNormOfT()

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/RealSchur_LAPACKE.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
  function namespace (line 18) | namespace Eigen {
  function namespace (line 388) | namespace internal {
  function namespace (line 486) | namespace internal {
  type typename (line 740) | typedef typename SolverType::RealVectorType VectorType;
  type typename (line 741) | typedef typename SolverType::Scalar Scalar;
  type typename (line 742) | typedef typename SolverType::EigenvectorsType EigenvectorsType;
  function EIGEN_DEVICE_FUNC (line 744) | EIGEN_DEVICE_FUNC
  function namespace (line 830) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Eigenvalues/Tridiagonalization.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 324) | namespace internal {
  type typename (line 445) | typedef typename Tridiagonalization<MatrixType>::HouseholderSequenceType...
  type typename (line 468) | typedef typename MatrixType::RealScalar RealScalar;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/AlignedBox.h
  function namespace (line 51) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 184) | EIGEN_DEVICE_FUNC inline VectorType corner(CornerType corner) const
  function EIGEN_DEVICE_FUNC (line 202) | EIGEN_DEVICE_FUNC inline VectorType sample() const
  function contains (line 220) | inline bool contains(const MatrixBase<Derived>& p) const
  function EIGEN_DEVICE_FUNC (line 227) | EIGEN_DEVICE_FUNC inline bool contains(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 232) | EIGEN_DEVICE_FUNC inline bool intersects(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 248) | EIGEN_DEVICE_FUNC inline AlignedBox& extend(const AlignedBox& b)
  function EIGEN_DEVICE_FUNC (line 258) | EIGEN_DEVICE_FUNC inline AlignedBox& clamp(const AlignedBox& b)
  function EIGEN_DEVICE_FUNC (line 268) | EIGEN_DEVICE_FUNC inline AlignedBox intersection(const AlignedBox& b) const
  function EIGEN_DEVICE_FUNC (line 274) | EIGEN_DEVICE_FUNC inline AlignedBox merged(const AlignedBox& b) const
  function AlignedBox (line 289) | inline AlignedBox translated(const MatrixBase<Derived>& a_t) const
  function NonInteger (line 314) | inline NonInteger exteriorDistance(const MatrixBase<Derived>& p) const
  function EIGEN_DEVICE_FUNC (line 321) | EIGEN_DEVICE_FUNC inline NonInteger exteriorDistance(const AlignedBox& b...
  function transform (line 328) | inline void transform(
  function transform (line 341) | inline void transform(const Transform<Scalar, AmbientDimAtCompileTime, M...
  function AlignedBox (line 366) | AlignedBox transformed(const Transform<Scalar, AmbientDimAtCompileTime, ...
  function explicit (line 388) | inline explicit AlignedBox(const AlignedBox<OtherScalarType,AmbientDimAt...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/AngleAxis.h
  function namespace (line 15) | namespace Eigen {
  function explicit (line 141) | inline explicit AngleAxis(const AngleAxis<OtherScalarType>& other)
  function EIGEN_DEVICE_FUNC (line 147) | EIGEN_DEVICE_FUNC static inline const AngleAxis Identity() { return Angl...
  function EIGEN_DEVICE_FUNC (line 153) | EIGEN_DEVICE_FUNC bool isApprox(const AngleAxis& other, const typename N...
  type AngleAxis (line 159) | typedef AngleAxis<float> AngleAxisf;
  type AngleAxis (line 162) | typedef AngleAxis<double> AngleAxisd;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/EulerAngles.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Homogeneous.h
  function namespace (line 15) | namespace Eigen {
  type MatrixBase (line 70) | typedef MatrixBase<Homogeneous> Base;
  function explicit (line 73) | explicit inline Homogeneous(const MatrixType& matrix)
  function EIGEN_DEVICE_FUNC (line 305) | EIGEN_DEVICE_FUNC homogeneous_right_product_impl(const MatrixType& lhs, ...
  type HomogeneousShape (line 331) | typedef HomogeneousShape Shape;
  type AssignmentKind (line 334) | struct AssignmentKind
  type Dense2Dense (line 334) | typedef Dense2Dense Kind;
  type typename (line 342) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 343) | typedef evaluator<PlainObject> Base;
  function EIGEN_DEVICE_FUNC (line 345) | EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& op)
  type Homogeneous (line 376) | typedef Homogeneous<ArgType,Horizontal> SrcXprType;
  type typename (line 406) | typedef typename Rhs::template
  type typename (line 407) | typedef typename remove_const<LinearBlockConst>::type                 Li...
  type typename (line 408) | typedef typename Rhs::ConstRowXpr                                     Co...
  type Replicate (line 409) | typedef Replicate<const ConstantColumn,Rows,1>                        Co...
  type Product (line 410) | typedef Product<Lhs,LinearBlock,LazyProduct>                          Li...
  type CwiseBinaryOp (line 411) | typedef CwiseBinaryOp<internal::scalar_sum_op<typename
  type homogeneous_right_product_refactoring_helper (line 419) | typedef homogeneous_right_product_refactoring_helper<typename
  type typename (line 420) | typedef typename helper::ConstantBlock ConstantBlock;
  type typename (line 421) | typedef typename helper::Xpr RefactoredXpr;
  type evaluator (line 422) | typedef evaluator<RefactoredXpr> Base;
  function EIGEN_DEVICE_FUNC (line 424) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  type typename (line 459) | typedef typename Lhs::template
  type typename (line 460) | typedef typename remove_const<LinearBlockConst>::type                 Li...
  type typename (line 461) | typedef typename Lhs::ConstColXpr                                     Co...
  type Replicate (line 462) | typedef Replicate<const ConstantColumn,1,Cols>                        Co...
  type Product (line 463) | typedef Product<LinearBlock,Rhs,LazyProduct>                          Li...
  type CwiseBinaryOp (line 464) | typedef CwiseBinaryOp<internal::scalar_sum_op<typename
  type homogeneous_left_product_refactoring_helper (line 472) | typedef homogeneous_left_product_refactoring_helper<Lhs,typename
  type typename (line 473) | typedef typename helper::ConstantBlock ConstantBlock;
  type typename (line 474) | typedef typename helper::Xpr RefactoredXpr;
  type evaluator (line 475) | typedef evaluator<RefactoredXpr> Base;
  function EIGEN_DEVICE_FUNC (line 477) | EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
  function evalTo (line 488) | static void evalTo(Dest& dst, const TransformType& lhs, const Homogeneou...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Hyperplane.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/OrthoMethods.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 53) | namespace internal {
  type typename (line 90) | typedef typename internal::nested_eval<Derived,2>::type DerivedNested;
  type typename (line 91) | typedef typename internal::nested_eval<OtherDerived,2>::type OtherDerive...
  function namespace (line 140) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/ParametrizedLine.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Quaternion.h
  function namespace (line 15) | namespace Eigen {
  type Scalar_ (line 281) | typedef Scalar_ Scalar;
  type typename (line 286) | typedef typename internal::traits<Quaternion>::Coefficients Coefficients;
  type typename (line 287) | typedef typename Base::AngleAxisType AngleAxisType;
  function EIGEN_DEVICE_FUNC (line 290) | EIGEN_DEVICE_FUNC inline Quaternion() {}
  function EIGEN_DEVICE_FUNC (line 299) | EIGEN_DEVICE_FUNC inline Quaternion(const Scalar& w, const Scalar& x, co...
  function EIGEN_DEVICE_FUNC (line 302) | EIGEN_DEVICE_FUNC explicit inline Quaternion(const Scalar* data) : m_coe...
  function EIGEN_STRONG_INLINE (line 305) | EIGEN_STRONG_INLINE Quaternion(const QuaternionBase<Derived>& other) { t...
  function explicit (line 315) | explicit inline Quaternion(const MatrixBase<Derived>& other) { *this = o...
  function explicit (line 319) | explicit inline Quaternion(const Quaternion<OtherScalar, OtherOptions>& ...
  function EIGEN_DEVICE_FUNC (line 325) | EIGEN_DEVICE_FUNC inline Quaternion(Quaternion&& other) EIGEN_NOEXCEPT_I...
  function EIGEN_DEVICE_FUNC (line 342) | EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs;}
  type Quaternion (line 362) | typedef Quaternion<float> Quaternionf;
  type Quaternion (line 365) | typedef Quaternion<double> Quaterniond;
  function namespace (line 371) | namespace internal {
  function namespace (line 379) | namespace internal {
  type Scalar_ (line 409) | typedef Scalar_ Scalar;
  type typename (line 410) | typedef typename internal::traits<Map>::Coefficients Coefficients;
  function EIGEN_STRONG_INLINE (line 420) | EIGEN_STRONG_INLINE Map(const Scalar* coeffs) : m_coeffs(coeffs) {}
  type Scalar_ (line 446) | typedef Scalar_ Scalar;
  type typename (line 447) | typedef typename internal::traits<Map>::Coefficients Coefficients;
  function EIGEN_STRONG_INLINE (line 457) | EIGEN_STRONG_INLINE Map(Scalar* coeffs) : m_coeffs(coeffs) {}
  function EIGEN_DEVICE_FUNC (line 459) | EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs; }
  type Map (line 468) | typedef Map<Quaternion<float>, 0>         QuaternionMapf;
  type Map (line 471) | typedef Map<Quaternion<double>, 0>        QuaternionMapd;
  type Map (line 474) | typedef Map<Quaternion<float>, Aligned>   QuaternionMapAlignedf;
  type Map (line 477) | typedef Map<Quaternion<double>, Aligned>  QuaternionMapAlignedd;
  function namespace (line 485) | namespace internal {
  function typename (line 590) | inline typename QuaternionBase<Derived>::Matrix3
  function namespace (line 733) | namespace internal {
  function typename (line 762) | inline typename internal::traits<Derived>::Scalar
  function namespace (line 811) | namespace internal {
  function run (line 859) | static inline void run(QuaternionBase<Derived>& q, const Other& vec)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Rotation2D.h
  function namespace (line 15) | namespace Eigen {
  function explicit (line 149) | inline explicit Rotation2D(const Rotation2D<OtherScalarType>& other)
  function EIGEN_DEVICE_FUNC (line 154) | EIGEN_DEVICE_FUNC static inline Rotation2D Identity() { return Rotation2...
  function EIGEN_DEVICE_FUNC (line 160) | EIGEN_DEVICE_FUNC bool isApprox(const Rotation2D& other, const typename ...
  type Rotation2D (line 167) | typedef Rotation2D<float> Rotation2Df;
  type Rotation2D (line 170) | typedef Rotation2D<double> Rotation2Dd;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/RotationBase.h
  function namespace (line 15) | namespace Eigen {
  function VectorType (line 95) | inline VectorType _transformVector(const OtherVectorType& v) const
  function namespace (line 99) | namespace internal {
  function EIGEN_DEVICE_FUNC (line 115) | EIGEN_DEVICE_FUNC static inline ReturnType run(const RotationDerived& r,...
  type Matrix (line 127) | typedef Matrix<typename
  function ReturnType (line 128) | ReturnType run(const RotationDerived& r, const OtherVectorType& v)
  function namespace (line 163) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Scaling.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Transform.h
  function namespace (line 17) | namespace Eigen {
  type Scalar_ (line 218) | typedef Scalar_ Scalar;
  type Eigen (line 219) | typedef Eigen::Index StorageIndex;
  type Eigen (line 220) | typedef Eigen::Index Index;
  type typename (line 222) | typedef typename internal::make_proper_matrix_type<Scalar,Rows,HDim,Opti...
  type MatrixType (line 224) | typedef const MatrixType ConstMatrixType;
  type Matrix (line 226) | typedef Matrix<Scalar,Dim,Dim,Options> LinearMatrixType;
  type Block (line 228) | typedef Block<MatrixType,Dim,Dim,int(Mode)==(AffineCompact) && (int(Opti...
  type Block (line 230) | typedef const Block<ConstMatrixType,Dim,Dim,int(Mode)==(AffineCompact) &...
  type typename (line 232) | typedef typename internal::conditional<int(Mode)==int(AffineCompact),
  type typename (line 236) | typedef typename internal::conditional<int(Mode)==int(AffineCompact),
  type Matrix (line 240) | typedef Matrix<Scalar,Dim,1> VectorType;
  type Block (line 242) | typedef Block<MatrixType,Dim,1,!(internal::traits<MatrixType>::Flags & R...
  type Block (line 244) | typedef const Block<ConstMatrixType,Dim,1,!(internal::traits<MatrixType>...
  type Translation (line 246) | typedef Translation<Scalar,Dim> TranslationType;
  type Transform (line 251) | typedef Transform<Scalar,Dim,TransformTimeDiagonalMode> TransformTimeDia...
  function EIGEN_DEVICE_FUNC (line 267) | EIGEN_DEVICE_FUNC inline explicit Transform(const TranslationType& t)
  function EIGEN_DEVICE_FUNC (line 272) | EIGEN_DEVICE_FUNC inline explicit Transform(const UniformScaling<Scalar>...
  function explicit (line 278) | inline explicit Transform(const RotationBase<Derived, Dim>& r)
  type internal (line 284) | typedef internal::transform_take_affine_part<Transform> take_affine_part;
  function explicit (line 288) | inline explicit Transform(const EigenBase<OtherDerived>& other)
  type typename (line 344) | typedef typename Transform<Scalar,Dim,OtherMode,OtherOptions>::MatrixTyp...
  function EIGEN_DEVICE_FUNC (line 387) | EIGEN_DEVICE_FUNC inline Scalar operator() (Index row, Index col) const ...
  function EIGEN_DEVICE_FUNC (line 390) | EIGEN_DEVICE_FUNC inline Scalar& operator() (Index row, Index col) { ret...
  function EIGEN_DEVICE_FUNC (line 395) | EIGEN_DEVICE_FUNC inline MatrixType& matrix() { return m_matrix; }
  function EIGEN_DEVICE_FUNC (line 400) | EIGEN_DEVICE_FUNC inline LinearPart linear() { return LinearPart(m_matri...
  function EIGEN_DEVICE_FUNC (line 403) | EIGEN_DEVICE_FUNC inline ConstAffinePart affine() const { return take_af...
  type internal (line 507) | typedef internal::transform_transform_product_impl<Transform,Transform<S...
  type typename (line 508) | typedef typename ProductType::ResultType ResultType;
  type typename (line 517) | typedef typename icc_11_workaround<OtherMode,OtherOptions>::ProductType ...
  function EIGEN_DEVICE_FUNC (line 531) | EIGEN_DEVICE_FUNC void setIdentity() { m_matrix.setIdentity(); }
  function EIGEN_DEVICE_FUNC (line 537) | EIGEN_DEVICE_FUNC static const Transform Identity()
  type typename (line 603) | typedef typename internal::conditional<int(Mode)==Isometry,ConstLinearPa...
  function Scalar (line 622) | const Scalar* data() const { return m_matrix.data(); }
  function EIGEN_DEVICE_FUNC (line 624) | EIGEN_DEVICE_FUNC Scalar* data() { return m_matrix.data(); }
  function explicit (line 637) | inline explicit Transform(const Transform<OtherScalarType,Dim,Mode,Optio...
  function EIGEN_DEVICE_FUNC (line 647) | EIGEN_DEVICE_FUNC bool isApprox(const Transform& other, const typename N...
  function EIGEN_DEVICE_FUNC (line 652) | EIGEN_DEVICE_FUNC void makeAffine()
  function check_template_params (line 690) | void check_template_params()
  function else (line 920) | else
  function namespace (line 1052) | namespace internal {
  function namespace (line 1168) | namespace internal {
  function namespace (line 1259) | namespace internal {
  function MatrixType (line 1279) | static inline const MatrixType& run(const MatrixType& m) { return m; }
  function ResultType (line 1343) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1359) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1361) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1385) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1387) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1410) | typedef typename MatrixType::PlainObject ResultType;
  function ResultType (line 1412) | ResultType run(const TransformType& T, const MatrixType& other)
  type typename (line 1432) | typedef typename TransformType::MatrixType MatrixType;
  type Transform (line 1433) | typedef Transform<typename
  function ResultType (line 1434) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1443) | typedef typename TransformType::MatrixType MatrixType;
  type Transform (line 1444) | typedef Transform<typename
  function ResultType (line 1445) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1459) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1460) | typedef TransformType ResultType;
  function ResultType (line 1461) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1475) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1476) | typedef TransformType ResultType;
  function ResultType (line 1477) | static ResultType run(const Other& other,const TransformType& tr)
  type typename (line 1491) | typedef typename TransformType::MatrixType MatrixType;
  type TransformType (line 1492) | typedef TransformType ResultType;
  function ResultType (line 1493) | static ResultType run(const Other& other, const TransformType& tr)
  type Transform (line 1512) | typedef Transform<Scalar,Dim,LhsMode,LhsOptions> Lhs;
  type Transform (line 1513) | typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
  type Transform (line 1514) | typedef Transform<Scalar,Dim,ResultMode,LhsOptions> ResultType;
  function ResultType (line 1515) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1529) | typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
  type Transform (line 1530) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1531) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1541) | typedef Transform<Scalar,Dim,Projective,RhsOptions> Rhs;
  type Transform (line 1542) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1543) | static ResultType run(const Lhs& lhs, const Rhs& rhs)
  type Transform (line 1556) | typedef Transform<Scalar,Dim,AffineCompact,RhsOptions> Rhs;
  type Transform (line 1557) | typedef Transform<Scalar,Dim,Projective> ResultType;
  function ResultType (line 1558) | static ResultType run(const Lhs& lhs, const Rhs& rhs)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Translation.h
  function namespace (line 15) | namespace Eigen {
  function explicit (line 156) | inline explicit Translation(const Translation<OtherScalarType,Dim>& other)
  function EIGEN_DEVICE_FUNC (line 163) | EIGEN_DEVICE_FUNC bool isApprox(const Translation& other, const typename...
  type Translation (line 170) | typedef Translation<float, 2> Translation2f;
  type Translation (line 171) | typedef Translation<double,2> Translation2d;
  type Translation (line 172) | typedef Translation<float, 3> Translation3f;
  type Translation (line 173) | typedef Translation<double,3> Translation3d;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/Umeyama.h
  function namespace (line 28) | namespace internal {
  type typename (line 99) | typedef typename internal::umeyama_transform_matrix_type<Derived, OtherD...
  type typename (line 100) | typedef typename internal::traits<TransformationMatrixType>::Scalar Scalar;
  type typename (line 101) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function EIGEN_STATIC_ASSERT (line 104) | EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename internal::traits...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Geometry/arch/Geometry_SIMD.h
  function namespace (line 16) | namespace Eigen {
  function Quaternion (line 103) | static inline Quaternion<double> run(const QuaternionBase<Derived>& _a, ...
  function Quaternion (line 149) | static inline Quaternion<double> run(const QuaternionBase<Derived>& q)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Householder/BlockHouseholder.h
  function namespace (line 18) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Householder/Householder.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Householder/HouseholderSequence.h
  function namespace (line 16) | namespace Eigen {
  type Block (line 90) | typedef Block<const VectorsType, Dynamic, 1> EssentialVectorType;
  type HouseholderSequence (line 91) | typedef HouseholderSequence<VectorsType, CoeffsType, OnTheLeft> Househol...
  type HouseholderSequence (line 103) | typedef HouseholderSequence<VectorsType, CoeffsType, OnTheRight> Househo...
  function EssentialVectorType (line 104) | static inline const EssentialVectorType essentialVector(const Householde...
  type typename (line 113) | typedef typename ScalarBinaryOpTraits<OtherScalarType, typename
  type Matrix (line 115) | typedef Matrix<ResultScalar, MatrixType::RowsAtCompileTime, MatrixType::...
  type typename (line 133) | typedef typename internal::traits<HouseholderSequence>::Scalar Scalar;
  type HouseholderSequence (line 135) | typedef HouseholderSequence<
  type HouseholderSequence (line 145) | typedef HouseholderSequence<
  type HouseholderSequence (line 153) | typedef HouseholderSequence<
  type HouseholderSequence (line 161) | typedef HouseholderSequence<
  function EIGEN_DEVICE_FUNC (line 230) | EIGEN_DEVICE_FUNC
  function evalTo (line 282) | void evalTo(DestType& dst) const
  type Block (line 387) | typedef Block<typename
  type internal (line 433) | struct internal
  function EIGEN_DEVICE_FUNC (line 444) | EIGEN_DEVICE_FUNC
  function EIGEN_DEVICE_FUNC (line 462) | EIGEN_DEVICE_FUNC

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h
  function namespace (line 15) | namespace Eigen {
  type Scalar_ (line 132) | typedef Scalar_ Scalar;
  type typename (line 133) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type DiagonalPreconditioner (line 134) | typedef DiagonalPreconditioner<Scalar_> Base;
  function Base (line 141) | LeastSquareDiagonalPreconditioner(const MatType& mat) : Base()
  function ComputationInfo (line 190) | ComputationInfo info() { return Success; }

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 170) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 171) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 172) | typedef Preconditioner_ Preconditioner;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 170) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 171) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 172) | typedef Preconditioner_ Preconditioner;
  type typename (line 202) | typedef typename Base::MatrixWrapper MatrixWrapper;
  type typename (line 203) | typedef typename Base::ActualMatrixType ActualMatrixType;
  type typename (line 210) | typedef typename internal::conditional<TransposeInput,Transpose<const Ac...
  type typename (line 212) | typedef typename internal::conditional<UpLo==(Lower|Upper),

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h
  function namespace (line 19) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h
  function namespace (line 17) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 153) | typedef typename internal::traits<Derived>::Preconditioner Preconditioner;
  type typename (line 154) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 155) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 156) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 343) | typedef typename DestDerived::Scalar DestScalar;
  type internal (line 418) | typedef internal::generic_matrix_wrapper<MatrixType> MatrixWrapper;
  type typename (line 419) | typedef typename MatrixWrapper::ActualMatrixType ActualMatrixType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 161) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 162) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 163) | typedef Preconditioner_ Preconditioner;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 74) | namespace internal {
  type SolveWithGuess (line 102) | typedef SolveWithGuess<DecType,RhsType,GuessType> SrcXprType;
  function run (line 103) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/Jacobi/Jacobi.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 276) | namespace internal {
  function applyOnTheLeft (line 297) | inline void MatrixBase<Derived>::applyOnTheLeft(Index p, Index q, const ...
  function applyOnTheRight (line 313) | inline void MatrixBase<Derived>::applyOnTheRight(Index p, Index q, const...
  function namespace (line 320) | namespace internal {
  function apply_rotation_in_the_plane (line 455) | void /*EIGEN_DONT_INLINE*/ apply_rotation_in_the_plane(DenseBase<VectorX...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/KLUSupport/KLUSupport.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/LU/Determinant.h
  function namespace (line 17) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/LU/FullPivLU.h
  function namespace (line 15) | namespace Eigen {
  function MatrixType (line 407) | MatrixType reconstructedMatrix() const;
  type internal (line 513) | typedef internal::scalar_score_coeff_op<Scalar> Scoring;
  type typename (line 514) | typedef typename Scoring::result_type Score;
  function namespace (line 612) | namespace internal {
  function namespace (line 841) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/LU/InverseImpl.h
  function namespace (line 16) | namespace Eigen {
  function compute_inverse_size2_helper (line 78) | inline void compute_inverse_size2_helper(
  function run (line 93) | static inline void run(const MatrixType& matrix, ResultType& result)
  function run (line 105) | static inline void run(
  function typename (line 129) | inline typename MatrixType::Scalar cofactor_3x3(const MatrixType& m)
  function compute_inverse_size3_helper (line 143) | inline void compute_inverse_size3_helper(
  function run (line 167) | static inline void run(const MatrixType& matrix, ResultType& result)
  function run (line 184) | static inline void run(
  function typename (line 211) | inline const typename Derived::Scalar general_det3_helper
  function typename (line 220) | inline typename MatrixType::Scalar cofactor_4x4(const MatrixType& matrix)
  function EIGEN_DEVICE_FUNC (line 238) | EIGEN_DEVICE_FUNC
  function run (line 272) | static inline void run(
  function namespace (line 299) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/LU/PartialPivLU.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 574) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/LU/PartialPivLU_LAPACKE.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/LU/arch/InverseSize4.h
  function namespace (line 40) | namespace Eigen

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/MetisSupport/MetisSupport.h
  function namespace (line 14) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/OrderingMethods/Amd.h
  function namespace (line 26) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/OrderingMethods/Eigen_Colamd.h
  function namespace (line 50) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/OrderingMethods/Ordering.h
  function namespace (line 16) | namespace Eigen {
  type Matrix (line 120) | typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/PaStiXSupport/PaStiXSupport.h
  function namespace (line 15) | namespace Eigen {
  function eigen_pastix (line 69) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 76) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 83) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  function eigen_pastix (line 90) | inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, i...
  type typename (line 139) | typedef typename internal::pastix_traits<Derived>::MatrixType MatrixType_;
  type MatrixType_ (line 140) | typedef MatrixType_ MatrixType;
  type typename (line 141) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 142) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 143) | typedef typename MatrixType::StorageIndex StorageIndex;
  type Matrix (line 144) | typedef Matrix<Scalar,Dynamic,1> Vector;
  type SparseMatrix (line 145) | typedef SparseMatrix<Scalar, ColMajor> ColSpMatrix;
  function iparm (line 180) | int& iparm(int idxparam)
  function dparm (line 198) | double& dparm(int idxparam)
  function clean (line 232) | void clean()
  type PastixBase (line 418) | typedef PastixBase<PastixLU<MatrixType> > Base;
  type typename (line 419) | typedef typename Base::ColSpMatrix ColSpMatrix;
  type typename (line 420) | typedef typename MatrixType::StorageIndex StorageIndex;
  function explicit (line 428) | explicit PastixLU(const MatrixType& matrix):Base()
  function compute (line 438) | void compute (const MatrixType& matrix)
  function analyzePattern (line 450) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 463) | void factorize(const MatrixType& matrix)
  function grabMatrix (line 478) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
  type PastixBase (line 530) | typedef PastixBase<PastixLLT<MatrixType, UpLo_> > Base;
  type typename (line 531) | typedef typename Base::ColSpMatrix ColSpMatrix;
  function explicit (line 540) | explicit PastixLLT(const MatrixType& matrix):Base()
  function compute (line 549) | void compute (const MatrixType& matrix)
  function analyzePattern (line 560) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 569) | void factorize(const MatrixType& matrix)
  function init (line 578) | void init()
  function grabMatrix (line 584) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
  type PastixBase (line 614) | typedef PastixBase<PastixLDLT<MatrixType, UpLo_> > Base;
  type typename (line 615) | typedef typename Base::ColSpMatrix ColSpMatrix;
  function explicit (line 624) | explicit PastixLDLT(const MatrixType& matrix):Base()
  function compute (line 633) | void compute (const MatrixType& matrix)
  function analyzePattern (line 644) | void analyzePattern(const MatrixType& matrix)
  function factorize (line 653) | void factorize(const MatrixType& matrix)
  function init (line 663) | void init()
  function grabMatrix (line 669) | void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/PardisoSupport/PardisoSupport.h
  function namespace (line 37) | namespace Eigen {
  type internal (line 108) | typedef internal::pardiso_traits<Derived> Traits;
  type typename (line 112) | typedef typename Traits::MatrixType MatrixType;
  type typename (line 113) | typedef typename Traits::Scalar Scalar;
  type typename (line 114) | typedef typename Traits::RealScalar RealScalar;
  type typename (line 115) | typedef typename Traits::StorageIndex StorageIndex;
  type SparseMatrix (line 116) | typedef SparseMatrix<Scalar,RowMajor,StorageIndex> SparseMatrixType;
  type Matrix (line 117) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type Matrix (line 118) | typedef Matrix<StorageIndex, 1, MatrixType::ColsAtCompileTime> IntRowVec...
  type Matrix (line 119) | typedef Matrix<StorageIndex, MatrixType::RowsAtCompileTime, 1> IntColVec...
  function pardisoInit (line 195) | void pardisoInit(int type)
  type typename (line 398) | typedef typename Base::RealScalar RealScalar;
  function explicit (line 409) | explicit PardisoLU(const MatrixType& matrix)
  type typename (line 454) | typedef typename Base::RealScalar RealScalar;
  type typename (line 455) | typedef typename Base::StorageIndex StorageIndex;
  function explicit (line 465) | explicit PardisoLLT(const MatrixType& matrix)
  type typename (line 517) | typedef typename Base::RealScalar RealScalar;
  type typename (line 518) | typedef typename Base::StorageIndex StorageIndex;
  function explicit (line 528) | explicit PardisoLDLT(const MatrixType& matrix)
  function getMatrix (line 535) | void getMatrix(const MatrixType& matrix)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/QR/ColPivHouseholderQR.h
  function namespace (line 16) | namespace Eigen {
  function isSurjective (line 300) | inline bool isSurjective() const
  function Inverse (line 323) | inline const Inverse<ColPivHouseholderQR> inverse() const
  function Index (line 396) | inline Index nonzeroPivots() const
  function namespace (line 632) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/QR/ColPivHouseholderQR_LAPACKE.h
  function namespace (line 39) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/QR/CompleteOrthogonalDecomposition.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/QR/FullPivHouseholderQR.h
  function namespace (line 16) | namespace Eigen {
  function isSurjective (line 291) | inline bool isSurjective() const
  function Inverse (line 314) | inline const Inverse<FullPivHouseholderQR> inverse() const
  function Index (line 387) | inline Index nonzeroPivots() const
  type internal (line 484) | typedef internal::scalar_score_coeff_op<Scalar> Scoring;
  type typename (line 485) | typedef typename Scoring::result_type Score;
  function namespace (line 610) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/QR/HouseholderQR.h
  function namespace (line 17) | namespace Eigen {
  function namespace (line 262) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/QR/HouseholderQR_LAPACKE.h
  function namespace (line 39) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 69) | typedef typename MatrixType_::RealScalar RealScalar;
  type SuiteSparse_long (line 70) | typedef SuiteSparse_long StorageIndex ;
  type SparseMatrix (line 71) | typedef SparseMatrix<Scalar, ColMajor, StorageIndex> MatrixType;
  type Map (line 72) | typedef Map<PermutationMatrix<Dynamic, Dynamic, StorageIndex> > Permutat...
  function SPQR_free (line 118) | void SPQR_free()
  function compute (line 127) | void compute(const MatrixType_& matrix)
  function setSPQROrdering (line 233) | void setSPQROrdering(int ord) { m_ordering = ord;}
  function setPivotThreshold (line 235) | void setPivotThreshold(const RealScalar& tol)
  function cholmod_common (line 242) | cholmod_common *cholmodCommon() const { return &m_cc; }
  type SPQR_QProduct (line 273) | struct SPQR_QProduct
  type typename (line 279) | typedef typename SPQRType::Scalar Scalar;
  type typename (line 280) | typedef typename SPQRType::StorageIndex StorageIndex;
  function m_spqr (line 307) | SPQRMatrixQReturnType(const SPQRType& spqr) : m_spqr(spqr) {}
  function m_spqr (line 327) | SPQRMatrixQTransposeReturnType(const SPQRType& spqr) : m_spqr(spqr) {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SVD/BDCSVD.h
  function namespace (line 32) | namespace Eigen {
  function setSwitchSize (line 175) | void setSwitchSize(int s)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SVD/JacobiSVD.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 110) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 120) | typedef typename internal::make_proper_matrix_type<
  function allocate (line 124) | void allocate(const JacobiSVD<MatrixType, FullPivHouseholderQRPreconditi...
  function run (line 135) | bool run(JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>& svd,...
  function allocate (line 161) | void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditio...
  function run (line 172) | bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, ...
  type typename (line 200) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 210) | typedef typename internal::make_proper_matrix_type<
  function allocate (line 214) | void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditio...
  function run (line 226) | bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, ...
  function allocate (line 259) | void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& ...
  function run (line 270) | bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const ...
  type typename (line 297) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 307) | typedef typename internal::make_proper_matrix_type<
  function allocate (line 311) | void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& ...
  function run (line 323) | bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const ...
  type typename (line 359) | typedef typename MatrixType::RealScalar RealScalar;
  function run (line 360) | static bool run(typename SVD::WorkMatrixType&, SVD&, Index, Index, RealS...
  type typename (line 367) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 368) | typedef typename MatrixType::RealScalar RealScalar;
  function run (line 369) | static bool run(typename SVD::WorkMatrixType& work_matrix, SVD& svd, Ind...
  type typename (line 497) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 498) | typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
  type typename (line 509) | typedef typename Base::MatrixUType MatrixUType;
  type typename (line 510) | typedef typename Base::MatrixVType MatrixVType;
  type typename (line 511) | typedef typename Base::SingularValuesType SingularValuesType;
  type typename (line 513) | typedef typename internal::plain_row_type<MatrixType>::type RowType;
  type typename (line 514) | typedef typename internal::plain_col_type<MatrixType>::type ColType;
  type Matrix (line 515) | typedef Matrix<Scalar, DiagSizeAtCompileTime, DiagSizeAtCompileTime,
  type internal (line 607) | struct internal
  type internal (line 609) | struct internal

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SVD/JacobiSVD_LAPACKE.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SVD/SVDBase.h
  function namespace (line 21) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SVD/UpperBidiagonalization.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCholesky/SimplicialCholesky.h
  function namespace (line 15) | namespace Eigen {
  function analyzePattern (line 240) | void analyzePattern(const MatrixType& a, bool doLDLT)
  type keep_diag (line 254) | struct keep_diag {
  function namespace (line 280) | namespace internal {
  type Ordering_ (line 299) | typedef Ordering_ OrderingType;
  type typename (line 301) | typedef typename MatrixType::Scalar                             Scalar;
  type typename (line 302) | typedef typename MatrixType::StorageIndex                       StorageI...
  type SparseMatrix (line 303) | typedef SparseMatrix<Scalar, ColMajor, StorageIndex>            CholMatr...
  type TriangularView (line 304) | typedef TriangularView<const CholMatrixType, Eigen::UnitLower>  MatrixL;
  type TriangularView (line 305) | typedef TriangularView<const typename
  function MatrixL (line 306) | static inline MatrixL getL(const CholMatrixType& m) { return MatrixL(m); }
  function MatrixU (line 307) | static inline MatrixU getU(const CholMatrixType& m) { return MatrixU(m.a...
  type Ordering_ (line 313) | typedef Ordering_ OrderingType;
  type MatrixType_ (line 343) | typedef MatrixType_ MatrixType;
  type SimplicialCholeskyBase (line 345) | typedef SimplicialCholeskyBase<SimplicialLLT> Base;
  type typename (line 346) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 347) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 348) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 349) | typedef SparseMatrix<Scalar,ColMajor,Index> CholMatrixType;
  type Matrix (line 350) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type internal (line 351) | typedef internal::traits<SimplicialLLT> Traits;
  type typename (line 352) | typedef typename Traits::MatrixL  MatrixL;
  type typename (line 353) | typedef typename Traits::MatrixU  MatrixU;
  function explicit (line 358) | explicit SimplicialLLT(const MatrixType& matrix)
  function analyzePattern (line 386) | void analyzePattern(const MatrixType& a)
  function factorize (line 397) | void factorize(const MatrixType& a)
  type MatrixType_ (line 434) | typedef MatrixType_ MatrixType;
  type SimplicialCholeskyBase (line 436) | typedef SimplicialCholeskyBase<SimplicialLDLT> Base;
  type typename (line 437) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 438) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 439) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 440) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> CholMatrixType;
  type Matrix (line 441) | typedef Matrix<Scalar,Dynamic,1> VectorType;
  type internal (line 442) | typedef internal::traits<SimplicialLDLT> Traits;
  type typename (line 443) | typedef typename Traits::MatrixL  MatrixL;
  type typename (line 444) | typedef typename Traits::MatrixU  MatrixU;
  function explicit (line 450) | explicit SimplicialLDLT(const MatrixType& matrix)
  function MatrixU (line 465) | inline const MatrixU matrixU() const {
  function analyzePattern (line 483) | void analyzePattern(const MatrixType& a)
  function factorize (line 494) | void factorize(const MatrixType& a)
  function Scalar (line 500) | Scalar determinant() const
  function VectorType (line 553) | inline const VectorType vectorD() const {
  function analyzePattern (line 578) | void analyzePattern(const MatrixType& a)
  function factorize (line 589) | void factorize(const MatrixType& a)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCholesky/SimplicialCholesky_impl.h
  function namespace (line 25) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/AmbiVector.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 290) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function m_vector (line 299) | m_vector(vec)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/CompressedStorage.h
  function namespace (line 15) | namespace Eigen {
  function append (line 103) | void append(const Scalar& v, Index i)
  function clear (line 113) | inline void clear() { m_size = 0; }
  function Scalar (line 115) | const Scalar* valuePtr() const { return m_values; }
  function Scalar (line 116) | Scalar* valuePtr() { return m_values; }
  function StorageIndex (line 117) | const StorageIndex* indexPtr() const { return m_indices; }
  function StorageIndex (line 118) | StorageIndex* indexPtr() { return m_indices; }
  function Scalar (line 120) | inline Scalar& value(Index i) { eigen_internal_assert(m_values!=0); retu...
  function Scalar (line 121) | inline const Scalar& value(Index i) const { eigen_internal_assert(m_valu...
  function StorageIndex (line 123) | inline StorageIndex& index(Index i) { eigen_internal_assert(m_indices!=0...
  function StorageIndex (line 124) | inline const StorageIndex& index(Index i) const { eigen_internal_assert(...
  function Index (line 127) | inline Index searchLowerIndex(Index key) const
  function Index (line 133) | inline Index searchLowerIndex(Index start, Index end, Index key) const
  function moveChunk (line 212) | void moveChunk(Index from, Index to, Index chunkSize)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 127) | namespace internal {
  type SparseMatrix (line 174) | typedef SparseMatrix<typename
  type SparseMatrix (line 188) | typedef SparseMatrix<typename
  function run (line 214) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
  type SparseMatrix (line 229) | typedef SparseMatrix<typename
  type SparseMatrix (line 243) | typedef SparseMatrix<typename
  type SparseMatrix (line 257) | typedef SparseMatrix<typename
  function namespace (line 269) | namespace internal {
  function namespace (line 301) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/MappedSparseMatrix.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 52) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseAssign.h
  function namespace (line 15) | namespace Eigen {
  function run (line 164) | void run(DstXprType &dst, const SrcXprType &src, const InitialFunc& /*fu...
  type Solve (line 230) | typedef Solve<DecType,RhsType> SrcXprType;
  function run (line 231) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  type Diagonal2Sparse (line 242) | struct Diagonal2Sparse {}
  type AssignmentKind (line 244) | struct AssignmentKind
  type Diagonal2Sparse (line 244) | typedef Diagonal2Sparse Kind;
  type typename (line 250) | typedef typename DstXprType::Scalar Scalar;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseBlock.h
  function namespace (line 15) | namespace Eigen {
  function Scalar (line 56) | inline const Scalar coeff(Index row, Index col) const
  function Scalar (line 61) | inline const Scalar coeff(Index index) const
  function XprType (line 67) | inline XprType& nestedExpression() { return m_matrix; }
  function namespace (line 95) | namespace internal {
  type SparseMatrix (line 294) | typedef SparseMatrix<Scalar_, Options_, StorageIndex_> SparseMatrixType;
  type internal (line 295) | typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,Bl...
  function Base (line 296) | inline BlockImpl(SparseMatrixType& xpr, Index i)
  function Base (line 300) | inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, ...
  type SparseMatrix (line 313) | typedef const SparseMatrix<Scalar_, Options_, StorageIndex_> SparseMatri...
  type internal (line 314) | typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,Bl...
  function Base (line 315) | inline BlockImpl(SparseMatrixType& xpr, Index i)
  function Base (line 319) | inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, ...
  type SparseMatrixBase (line 339) | typedef SparseMatrixBase<BlockType> Base;
  function Scalar (line 366) | inline Scalar& coeffRef(Index row, Index col)
  function Scalar (line 371) | inline const Scalar coeff(Index row, Index col) const
  function Scalar (line 376) | inline Scalar& coeffRef(Index index)
  function Scalar (line 382) | inline const Scalar coeff(Index index) const
  function XprType (line 389) | inline XprType& nestedExpression() { return m_matrix; }
  function namespace (line 419) | namespace internal {
  function public (line 470) | public EvalIterator
  type evaluator (line 555) | typedef evaluator<SparseCompressedBase<XprType> > Base;
  function explicit (line 556) | explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}
  type evaluator (line 564) | typedef evaluator<SparseCompressedBase<XprType> > Base;
  function explicit (line 565) | explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseColEtree.h
  function namespace (line 36) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseCompressedBase.h
  function namespace (line 15) | namespace Eigen {
  function Scalar (line 222) | inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id]); }
  type internal (line 234) | typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTi...
  function Scalar (line 290) | inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id-1]); }
  type internal (line 302) | typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTi...
  type typename (line 314) | typedef typename Derived::Scalar Scalar;
  type typename (line 315) | typedef typename Derived::InnerIterator InnerIterator;
  function explicit (line 326) | explicit evaluator(const Derived &mat) : m_matrix(&mat), m_zero(0)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseCwiseBinaryOp.h
  function namespace (line 15) | namespace Eigen {
  type CwiseBinaryOp (line 158) | typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
  type typename (line 159) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 160) | typedef typename XprType::StorageIndex StorageIndex;
  type CwiseBinaryOp (line 245) | typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
  type typename (line 246) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 247) | typedef typename XprType::StorageIndex StorageIndex;
  type sparse_conjunction_evaluator (line 337) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 338) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 346) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 347) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 355) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 356) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 365) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 366) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 375) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 376) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 384) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 385) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type sparse_conjunction_evaluator (line 393) | typedef sparse_conjunction_evaluator<XprType> Base;
  function explicit (line 394) | explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
  type typename (line 404) | typedef typename XprType::Lhs LhsArg;
  type typename (line 405) | typedef typename XprType::Rhs RhsArg;
  type typename (line 406) | typedef typename evaluator<LhsArg>::InnerIterator  LhsIterator;
  type typename (line 407) | typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
  type typename (line 408) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 409) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 489) | typedef typename XprType::Lhs LhsArg;
  type typename (line 490) | typedef typename XprType::Rhs RhsArg;
  type evaluator (line 491) | typedef evaluator<LhsArg> LhsEvaluator;
  type typename (line 492) | typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
  type typename (line 493) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 494) | typedef typename traits<XprType>::Scalar Scalar;
  type typename (line 562) | typedef typename XprType::Lhs LhsArg;
  type typename (line 563) | typedef typename XprType::Rhs RhsArg;
  type typename (line 564) | typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
  type evaluator (line 565) | typedef evaluator<RhsArg> RhsEvaluator;
  type typename (line 566) | typedef typename XprType::StorageIndex StorageIndex;
  type typename (line 567) | typedef typename traits<XprType>::Scalar Scalar;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseCwiseUnaryOp.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 130) | typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;
  type typename (line 142) | typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseDenseProduct.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 178) | namespace internal {
  type typename (line 211) | typedef typename nested_eval<Lhs,((Rhs::Flags&RowMajorBit)==0) ? Dynamic...
  type typename (line 212) | typedef typename nested_eval<Rhs,((Lhs::Flags&RowMajorBit)==RowMajorBit)...
  type typename (line 232) | typedef typename conditional<NeedToTranspose,LhsT,RhsT>::type ActualRhs;
  type Product (line 233) | typedef Product<LhsT,RhsT,DefaultProduct> ProdXprType;
  type typename (line 237) | typedef typename conditional<is_same<typename internal::traits<Lhs1>::St...
  type typename (line 239) | typedef typename conditional<is_same<typename internal::traits<Lhs1>::St...
  type evaluator (line 242) | typedef evaluator<ActualLhs> LhsEval;
  type evaluator (line 243) | typedef evaluator<ActualRhs> RhsEval;
  type typename (line 244) | typedef typename evaluator<ActualLhs>::InnerIterator LhsIterator;
  type typename (line 245) | typedef typename ProdXprType::Scalar Scalar;
  function class (line 253) | class InnerIterator : public LhsIterator
  type sparse_dense_outer_product_evaluator (line 314) | typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Lhs::IsRowMajor> B...
  type Product (line 316) | typedef Product<Lhs, Rhs> XprType;
  type typename (line 317) | typedef typename XprType::PlainObject PlainObject;
  function explicit (line 319) | explicit product_evaluator(const XprType& xpr)
  type sparse_dense_outer_product_evaluator (line 329) | typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Rhs::IsRowMajor> B...
  type Product (line 331) | typedef Product<Lhs, Rhs> XprType;
  type typename (line 332) | typedef typename XprType::PlainObject PlainObject;
  function explicit (line 334) | explicit product_evaluator(const XprType& xpr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseDiagonalProduct.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 98) | typedef typename SparseXprType::StorageIndex StorageIndex;
  type typename (line 100) | typedef typename nested_eval<DiagCoeffType,SparseXprType::IsRowMajor ? S...
  function class (line 103) | class InnerIterator

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseDot.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseFuzzy.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseMap.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 57) | typedef typename Base::Scalar Scalar;
  type typename (line 58) | typedef typename Base::StorageIndex StorageIndex;
  type typename (line 66) | typedef typename internal::conditional<
  function Scalar (line 97) | inline const Scalar* valuePtr() const { return m_values; }
  function StorageIndex (line 99) | inline const StorageIndex* innerIndexPtr() const { return m_innerIndices; }
  function StorageIndex (line 101) | inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
  function StorageIndex (line 103) | inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZe...
  function Scalar (line 107) | inline Scalar coeff(Index row, Index col) const
  type typename (line 157) | typedef typename Base::Scalar Scalar;
  type typename (line 158) | typedef typename Base::StorageIndex StorageIndex;
  function Scalar (line 172) | inline Scalar* valuePtr()              { return Base::m_values; }
  function StorageIndex (line 174) | inline StorageIndex* innerIndexPtr()   { return Base::m_innerIndices; }
  function StorageIndex (line 176) | inline StorageIndex* outerIndexPtr()   { return Base::m_outerIndex; }
  function StorageIndex (line 178) | inline StorageIndex* innerNonZeroPtr() { return Base::m_innerNonZeros; }
  function Scalar (line 182) | inline Scalar& coeffRef(Index row, Index col)
  function enum (line 262) | EIGEN_SPARSE_PUBLIC_INTERFACE(Map)
  function namespace (line 281) | namespace internal {
  type Map (line 298) | typedef Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 300) | explicit evaluator(const XprType &mat) : Base(mat) {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseMatrix.h
  function namespace (line 15) | namespace Eigen {
  type internal (line 105) | struct internal
  type MappedSparseMatrix (line 113) | typedef MappedSparseMatrix<Scalar,Flags> Map;
  type Diagonal (line 114) | typedef Diagonal<SparseMatrix> DiagonalReturnType;
  type Diagonal (line 115) | typedef Diagonal<const SparseMatrix> ConstDiagonalReturnType;
  type typename (line 116) | typedef typename Base::InnerIterator InnerIterator;
  type typename (line 117) | typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
  type internal (line 121) | typedef internal::CompressedStorage<Scalar,StorageIndex> Storage;
  type typename (line 126) | typedef typename Base::IndexVector IndexVector;
  type typename (line 127) | typedef typename Base::ScalarVector ScalarVector;
  function Scalar (line 152) | inline const Scalar* valuePtr() const { return m_data.valuePtr(); }
  function Scalar (line 156) | inline Scalar* valuePtr() { return m_data.valuePtr(); }
  function StorageIndex (line 161) | inline const StorageIndex* innerIndexPtr() const { return m_data.indexPt...
  function StorageIndex (line 165) | inline StorageIndex* innerIndexPtr() { return m_data.indexPtr(); }
  function StorageIndex (line 170) | inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
  function StorageIndex (line 174) | inline StorageIndex* outerIndexPtr() { return m_outerIndex; }
  function StorageIndex (line 179) | inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZe...
  function StorageIndex (line 183) | inline StorageIndex* innerNonZeroPtr() { return m_innerNonZeros; }
  function Storage (line 186) | inline Storage& data() { return m_data; }
  function Scalar (line 192) | inline Scalar coeff(Index row, Index col) const
  function Scalar (line 210) | inline Scalar& coeffRef(Index row, Index col)
  function reserve (line 267) | inline void reserve(Index reserveSize)
  function reserveInnerVectors (line 302) | void reserveInnerVectors(const SizesType& reserveSizes)
  function Scalar (line 396) | inline Scalar& insertBackByOuterInner(Index outer, Index inner)
  function Scalar (line 408) | inline Scalar& insertBackByOuterInnerUnordered(Index outer, Index inner)
  function startVec (line 418) | inline void startVec(Index outer)
  function finalize (line 428) | inline void finalize()
  function sumupDuplicates (line 454) | void sumupDuplicates() { collapseDuplicates(internal::scalar_sum_op<Scal...
  function makeCompressed (line 470) | void makeCompressed()
  function uncompress (line 501) | void uncompress()
  function conservativeResize (line 559) | void conservativeResize(Index rows, Index cols)
  function resize (line 629) | void resize(Index rows, Index cols)
  function resizeNonZeros (line 652) | void resizeNonZeros(Index size)
  function ConstDiagonalReturnType (line 658) | const ConstDiagonalReturnType diagonal() const { return ConstDiagonalRet...
  function class (line 870) | class SingletonVector
  type IndexPosPair (line 903) | struct IndexPosPair {
  type Array (line 936) | typedef Array<StorageIndex,Dynamic,1> ArrayXI;
  type default_prunning_func (line 1014) | struct default_prunning_func {
  function namespace (line 1025) | namespace internal {
  type typename (line 1184) | typedef typename internal::nested_eval<OtherDerived,2,typename
  type typename (line 1185) | typedef typename internal::remove_all<OtherCopy>::type _OtherCopy;
  type internal (line 1186) | typedef internal::evaluator<_OtherCopy> OtherCopyEval;
  function namespace (line 1495) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseMatrixBase.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparsePermutation.h
  function namespace (line 17) | namespace Eigen {
  function namespace (line 88) | namespace internal {
  type typename (line 102) | typedef typename permutation_matrix_product<Rhs,OnTheLeft,false,SparseSh...
  type evaluator (line 103) | typedef evaluator<PlainObject> Base;
  function explicit (line 109) | explicit product_evaluator(const XprType& xpr)
  type typename (line 125) | typedef typename permutation_matrix_product<Lhs,OnTheRight,false,SparseS...
  type evaluator (line 126) | typedef evaluator<PlainObject> Base;
  function explicit (line 132) | explicit product_evaluator(const XprType& xpr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseProduct.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 73) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 74) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  function run (line 107) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 123) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  function run (line 134) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...
  type typename (line 145) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 146) | typedef evaluator<PlainObject> Base;
  function explicit (line 148) | explicit unary_evaluator(const XprType& xpr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseRedux.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseRef.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 68) | typedef typename internal::conditional<MatchAtCompileTime,internal::true...
  type internal (line 134) | typedef internal::traits<Ref> Traits;
  type internal (line 183) | typedef internal::traits<Ref> Traits;
  function Ref (line 187) | EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
  function m_hasCopy (line 200) | m_hasCopy(false) {
  type internal (line 265) | typedef internal::traits<Ref> Traits;
  type internal (line 301) | typedef internal::traits<Ref> Traits;
  function Ref (line 305) | EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
  function m_hasCopy (line 318) | m_hasCopy(false) {
  function namespace (line 351) | namespace internal {
  type Ref (line 370) | typedef Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 372) | explicit evaluator(const XprType &mat) : Base(mat) {}
  type Ref (line 380) | typedef Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, Stride...
  function explicit (line 382) | explicit evaluator(const XprType &mat) : Base(mat) {}
  type Ref (line 390) | typedef Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, ...
  function explicit (line 392) | explicit evaluator(const XprType &mat) : Base(mat) {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseSelfAdjointView.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 210) | namespace internal {
  type SparseSelfAdjoint2Sparse (line 222) | struct SparseSelfAdjoint2Sparse {}
  type AssignmentKind (line 224) | struct AssignmentKind
  type SparseSelfAdjoint2Sparse (line 224) | typedef SparseSelfAdjoint2Sparse Kind;
  type AssignmentKind (line 225) | struct AssignmentKind
  type Sparse2Sparse (line 225) | typedef Sparse2Sparse Kind;
  type internal (line 231) | typedef internal::assign_op<typename
  function sparse_selfadjoint_time_dense_product (line 276) | void sparse_selfadjoint_time_dense_product(const SparseLhsType& lhs, con...
  type typename (line 344) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 345) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  type typename (line 360) | typedef typename RhsView::_MatrixTypeNested Rhs;
  type typename (line 361) | typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
  type typename (line 362) | typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
  type Product (line 379) | typedef Product<LhsView, Rhs, DefaultProduct> XprType;
  type typename (line 380) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 381) | typedef evaluator<PlainObject> Base;
  type Product (line 399) | typedef Product<Lhs, RhsView, DefaultProduct> XprType;
  type typename (line 400) | typedef typename XprType::PlainObject PlainObject;
  type evaluator (line 401) | typedef evaluator<PlainObject> Base;
  type typename (line 425) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 426) | typedef typename MatrixType::Scalar Scalar;
  type SparseMatrix (line 427) | typedef SparseMatrix<Scalar,DestOrder,StorageIndex> Dest;
  type Matrix (line 428) | typedef Matrix<StorageIndex,Dynamic,1> VectorI;
  type evaluator (line 429) | typedef evaluator<MatrixType> MatEval;
  type typename (line 430) | typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
  type typename (line 515) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 516) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 518) | typedef Matrix<StorageIndex,Dynamic,1> VectorI;
  type evaluator (line 519) | typedef evaluator<MatrixType> MatEval;
  type typename (line 520) | typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
  type typename (line 597) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 606) | typedef typename MatrixType::Nested MatrixTypeNested;
  type typename (line 607) | typedef typename internal::remove_all<MatrixTypeNested>::type NestedExpr...
  type SparseSymmetricPermutationProduct (line 630) | typedef SparseSymmetricPermutationProduct<MatrixType,Mode> SrcXprType;
  type typename (line 631) | typedef typename DstXprType::StorageIndex DstIndex;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseSolverBase.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
  function namespace (line 15) | namespace Eigen {
  function run (line 119) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 132) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 152) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 164) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 176) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...
  function run (line 188) | static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const R...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseTranspose.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 54) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseTriangularView.h
  function namespace (line 16) | namespace Eigen {
  function namespace (line 68) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseUtil.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 99) | typedef typename traits<T>::Scalar Scalar_;
  type typename (line 100) | typedef typename traits<T>::StorageIndex StorageIndex_;
  type typename (line 114) | typedef typename traits<T>::Scalar Scalar_;
  type typename (line 115) | typedef typename traits<T>::StorageIndex StorageIndex_;
  type SparseTriangularShape (line 138) | struct SparseTriangularShape  { static std::string debugName() { return ...
  type LowerBoundIndex (line 145) | struct LowerBoundIndex {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseVector.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 88) | EIGEN_STRONG_INLINE const Scalar* valuePtr() const { return m_data.value...
  function EIGEN_STRONG_INLINE (line 89) | EIGEN_STRONG_INLINE Scalar* valuePtr() { return m_data.valuePtr(); }
  function EIGEN_STRONG_INLINE (line 91) | EIGEN_STRONG_INLINE const StorageIndex* innerIndexPtr() const { return m...
  function EIGEN_STRONG_INLINE (line 92) | EIGEN_STRONG_INLINE StorageIndex* innerIndexPtr() { return m_data.indexP...
  function StorageIndex (line 94) | inline const StorageIndex* outerIndexPtr() const { return 0; }
  function StorageIndex (line 95) | inline StorageIndex* outerIndexPtr() { return 0; }
  function StorageIndex (line 96) | inline const StorageIndex* innerNonZeroPtr() const { return 0; }
  function StorageIndex (line 97) | inline StorageIndex* innerNonZeroPtr() { return 0; }
  function Storage (line 100) | inline Storage& data() { return m_data; }
  function Scalar (line 104) | inline Scalar coeff(Index row, Index col) const
  function Scalar (line 109) | inline Scalar coeff(Index i) const
  function Scalar (line 115) | inline Scalar& coeffRef(Index row, Index col)
  function Scalar (line 127) | inline Scalar& coeffRef(Index i)
  type typename (line 137) | typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
  function setZero (line 139) | inline void setZero() { m_data.clear(); }
  function startVec (line 144) | inline void startVec(Index outer)
  function Scalar (line 150) | inline Scalar& insertBackByOuterInner(Index outer, Index inner)
  function Scalar (line 156) | inline Scalar& insertBack(Index i)
  function Scalar (line 168) | inline Scalar& insertBackUnordered(Index i)
  function Scalar (line 174) | inline Scalar& insert(Index row, Index col)
  function reserve (line 206) | inline void reserve(Index reserveSize) { m_data.reserve(reserveSize); }
  function finalize (line 209) | inline void finalize() {}
  function resize (line 225) | void resize(Index rows, Index cols)
  function resize (line 235) | void resize(Index newSize)
  function conservativeResize (line 248) | void conservativeResize(Index newSize)
  function resizeNonZeros (line 259) | void resizeNonZeros(Index size) { m_data.resize(size); }
  function swap (line 261) | inline SparseVector() : m_size(0) { resize(0); }
  function EIGEN_DEPRECATED (line 356) | EIGEN_DEPRECATED Scalar& fill(Index r, Index c)
  function EIGEN_DEPRECATED (line 363) | EIGEN_DEPRECATED Scalar& fill(Index i)
  function EIGEN_DEPRECATED (line 370) | EIGEN_DEPRECATED Scalar& fillrand(Index r, Index c)
  function EIGEN_DEPRECATED (line 377) | EIGEN_DEPRECATED Scalar& fillrand(Index i)
  function EIGEN_DEPRECATED (line 383) | EIGEN_DEPRECATED void endFill() {}
  function EIGEN_DEPRECATED (line 387) | EIGEN_DEPRECATED Storage& _data() { return m_data; }
  function namespace (line 403) | namespace internal {
  type internal (line 451) | typedef internal::evaluator<Src> SrcEvaluatorType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/SparseView.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseCore/TriangularSolver.h
  function namespace (line 15) | namespace Eigen {
  type evaluator (line 109) | typedef evaluator<Lhs> LhsEval;
  type typename (line 110) | typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
  function run (line 111) | static void run(const Lhs& lhs, Rhs& other)
  type evaluator (line 144) | typedef evaluator<Lhs> LhsEval;
  type typename (line 145) | typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
  function run (line 146) | static void run(const Lhs& lhs, Rhs& other)
  type typename (line 187) | typedef typename internal::conditional<copy,
  function namespace (line 200) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU.h
  function namespace (line 17) | namespace Eigen {
  type MatrixType_ (line 141) | typedef MatrixType_ MatrixType;
  type OrderingType_ (line 142) | typedef OrderingType_ OrderingType;
  type typename (line 143) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 144) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 145) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 146) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> NCMatrix;
  type internal (line 147) | typedef internal::MappedSuperNodalMatrix<Scalar, StorageIndex> SCMatrix;
  type Matrix (line 148) | typedef Matrix<Scalar,Dynamic,1> ScalarVector;
  type Matrix (line 149) | typedef Matrix<StorageIndex,Dynamic,1> IndexVector;
  type PermutationMatrix (line 150) | typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
  type internal (line 151) | typedef internal::SparseLUImpl<Scalar, StorageIndex> Base;
  function explicit (line 164) | explicit SparseLU(const MatrixType& matrix)
  function compute (line 184) | void compute (const MatrixType& matrix)
  function isSymmetric (line 234) | void isSymmetric(bool sym)
  function setPivotThreshold (line 277) | void setPivotThreshold(const RealScalar& thresh)
  function Scalar (line 352) | Scalar absDeterminant()
  function Scalar (line 408) | Scalar signDeterminant()
  function Scalar (line 436) | Scalar determinant()
  type typename (line 803) | typedef typename MappedSupernodalType::Scalar Scalar;
  function explicit (line 804) | explicit SparseLUMatrixLReturnType(const MappedSupernodalType& mapL) : m...
  type typename (line 825) | typedef typename MatrixLType::Scalar Scalar;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLUImpl.h
  function namespace (line 14) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_Memory.h
  function namespace (line 36) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_Structs.h
  function namespace (line 73) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_Utils.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_column_bmod.h
  function namespace (line 36) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_column_dfs.h
  function namespace (line 36) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h
  function namespace (line 34) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_gemm_kernel.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h
  function namespace (line 33) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_panel_bmod.h
  function namespace (line 36) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_panel_dfs.h
  function namespace (line 35) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_pivotL.h
  function namespace (line 35) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_pruneL.h
  function namespace (line 35) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseLU/SparseLU_relax_snode.h
  function namespace (line 33) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SparseQR/SparseQR.h
  function namespace (line 16) | namespace Eigen {
  type MatrixType_ (line 93) | typedef MatrixType_ MatrixType;
  type OrderingType_ (line 94) | typedef OrderingType_ OrderingType;
  type typename (line 95) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 96) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 97) | typedef typename MatrixType::StorageIndex StorageIndex;
  type SparseMatrix (line 98) | typedef SparseMatrix<Scalar,ColMajor,StorageIndex> QRMatrixType;
  type Matrix (line 99) | typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;
  type Matrix (line 100) | typedef Matrix<Scalar, Dynamic, 1> ScalarVector;
  type PermutationMatrix (line 101) | typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
  function compute (line 129) | void compute(const MatrixType& mat)
  function setPivotThreshold (line 237) | void setPivotThreshold(const RealScalar& threshold)
  function _sort_matrix_Q (line 278) | inline void _sort_matrix_Q()
  type SparseQR_QProduct (line 308) | struct SparseQR_QProduct
  type typename (line 617) | typedef typename SparseQRType::QRMatrixType MatrixType;
  type typename (line 618) | typedef typename SparseQRType::Scalar Scalar;
  type typename (line 678) | typedef typename SparseQRType::Scalar Scalar;
  type Matrix (line 679) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  function explicit (line 684) | explicit SparseQRMatrixQReturnType(const SparseQRType& qr) : m_qr(qr) {}
  function explicit (line 709) | explicit SparseQRMatrixQTransposeReturnType(const SparseQRType& qr) : m_...
  function namespace (line 718) | namespace internal {
  type typename (line 748) | typedef typename DstXprType::Scalar Scalar;
  type typename (line 749) | typedef typename DstXprType::StorageIndex StorageIndex;
  function run (line 750) | static void run(DstXprType &dst, const SrcXprType &src, const internal::...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/StlSupport/StdDeque.h
  function namespace (line 54) | namespace std {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/StlSupport/StdList.h
  function namespace (line 53) | namespace std

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/StlSupport/StdVector.h
  function namespace (line 54) | namespace std {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/StlSupport/details.h
  function namespace (line 18) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/SuperLUSupport/SuperLUSupport.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/UmfPackSupport/UmfPackSupport.h
  function namespace (line 25) | namespace Eigen {
  function UmfpackControl (line 434) | inline UmfpackControl& umfpackControl()
  function printUmfpackControl (line 461) | void printUmfpackControl()
  function printUmfpackInfo (line 470) | void printUmfpackInfo()
  function printUmfpackStatus (line 480) | void printUmfpackStatus() {
  function Scalar (line 489) | Scalar determinant() const;
  function factorize_impl (line 520) | void factorize_impl()
  function grab (line 538) | void grab(const UmfpackMatrixRef &A)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/misc/Image.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/misc/Kernel.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/misc/RealSvd2x2.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/misc/blas.h
  type BLASLONG (line 12) | typedef long long BLASLONG;
  type BLASULONG (line 13) | typedef unsigned long long BLASULONG;
  type BLASLONG (line 15) | typedef long BLASLONG;
  type BLASULONG (line 16) | typedef unsigned long BLASULONG;

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/misc/lapacke.h
  type lapack_logical (line 132) | typedef lapack_logical (*LAPACK_S_SELECT2) ( const float*, const float* );
  type lapack_logical (line 133) | typedef lapack_logical (*LAPACK_S_SELECT3)
  type lapack_logical (line 135) | typedef lapack_logical (*LAPACK_D_SELECT2) ( const double*, const double...
  type lapack_logical (line 136) | typedef lapack_logical (*LAPACK_D_SELECT3)
  type lapack_logical (line 139) | typedef lapack_logical (*LAPACK_C_SELECT1) ( const lapack_complex_float* );
  type lapack_logical (line 140) | typedef lapack_logical (*LAPACK_C_SELECT2)
  type lapack_logical (line 142) | typedef lapack_logical (*LAPACK_Z_SELECT1) ( const lapack_complex_double...
  type lapack_logical (line 143) | typedef lapack_logical (*LAPACK_Z_SELECT2)

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/plugins/ArrayCwiseBinaryOps.h
  function Derived (line 354) | const Derived>

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/plugins/ArrayCwiseUnaryOps.h
  type CwiseUnaryOp (line 3) | typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const
  type CwiseUnaryOp (line 4) | typedef CwiseUnaryOp<internal::scalar_arg_op<Scalar>, const
  type CwiseUnaryOp (line 5) | typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const
  type CwiseUnaryOp (line 6) | typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const
  type CwiseUnaryOp (line 7) | typedef CwiseUnaryOp<internal::scalar_rsqrt_op<Scalar>, const
  type CwiseUnaryOp (line 8) | typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const
  type CwiseUnaryOp (line 9) | typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const
  type CwiseUnaryOp (line 10) | typedef CwiseUnaryOp<internal::scalar_boolean_not_op<Scalar>, const
  type CwiseUnaryOp (line 12) | typedef CwiseUnaryOp<internal::scalar_exp_op<Scalar>, const
  type CwiseUnaryOp (line 13) | typedef CwiseUnaryOp<internal::scalar_expm1_op<Scalar>, const
  type CwiseUnaryOp (line 14) | typedef CwiseUnaryOp<internal::scalar_log_op<Scalar>, const
  type CwiseUnaryOp (line 15) | typedef CwiseUnaryOp<internal::scalar_log1p_op<Scalar>, const
  type CwiseUnaryOp (line 16) | typedef CwiseUnaryOp<internal::scalar_log10_op<Scalar>, const
  type CwiseUnaryOp (line 17) | typedef CwiseUnaryOp<internal::scalar_log2_op<Scalar>, const
  type CwiseUnaryOp (line 18) | typedef CwiseUnaryOp<internal::scalar_cos_op<Scalar>, const
  type CwiseUnaryOp (line 19) | typedef CwiseUnaryOp<internal::scalar_sin_op<Scalar>, const
  type CwiseUnaryOp (line 20) | typedef CwiseUnaryOp<internal::scalar_tan_op<Scalar>, const
  type CwiseUnaryOp (line 21) | typedef CwiseUnaryOp<internal::scalar_acos_op<Scalar>, const
  type CwiseUnaryOp (line 22) | typedef CwiseUnaryOp<internal::scalar_asin_op<Scalar>, const
  type CwiseUnaryOp (line 23) | typedef CwiseUnaryOp<internal::scalar_atan_op<Scalar>, const
  type CwiseUnaryOp (line 24) | typedef CwiseUnaryOp<internal::scalar_tanh_op<Scalar>, const
  type CwiseUnaryOp (line 25) | typedef CwiseUnaryOp<internal::scalar_logistic_op<Scalar>, const
  type CwiseUnaryOp (line 26) | typedef CwiseUnaryOp<internal::scalar_sinh_op<Scalar>, const
  type CwiseUnaryOp (line 28) | typedef CwiseUnaryOp<internal::scalar_atanh_op<Scalar>, const
  type CwiseUnaryOp (line 29) | typedef CwiseUnaryOp<internal::scalar_asinh_op<Scalar>, const
  type CwiseUnaryOp (line 30) | typedef CwiseUnaryOp<internal::scalar_acosh_op<Scalar>, const
  type CwiseUnaryOp (line 32) | typedef CwiseUnaryOp<internal::scalar_cosh_op<Scalar>, const
  type CwiseUnaryOp (line 33) | typedef CwiseUnaryOp<internal::scalar_square_op<Scalar>, const
  type CwiseUnaryOp (line 34) | typedef CwiseUnaryOp<internal::scalar_cube_op<Scalar>, const
  type CwiseUnaryOp (line 35) | typedef CwiseUnaryOp<internal::scalar_round_op<Scalar>, const
  type CwiseUnaryOp (line 36) | typedef CwiseUnaryOp<internal::scalar_rint_op<Scalar>, const
  type CwiseUnaryOp (line 37) | typedef CwiseUnaryOp<internal::scalar_floor_op<Scalar>, const
  type CwiseUnaryOp (line 38) | typedef CwiseUnaryOp<internal::scalar_ceil_op<Scalar>, const
  type CwiseUnaryOp (line 39) | typedef CwiseUnaryOp<internal::scalar_isnan_op<Scalar>, const
  type CwiseUnaryOp (line 40) | typedef CwiseUnaryOp<internal::scalar_isinf_op<Scalar>, const
  type CwiseUnaryOp (line 41) | typedef CwiseUnaryOp<internal::scalar_isfinite_op<Scalar>, const
  function AbsReturnType (line 51) | const AbsReturnType
  function Abs2ReturnType (line 79) | const Abs2ReturnType
  type ShiftRightXpr (line 500) | struct ShiftRightXpr {
  type ShiftLeftXpr (line 520) | struct ShiftLeftXpr {

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/plugins/BlockMethods.h
  type Block (line 14) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, 1, ...
  type Block (line 15) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 17) | typedef Block<Derived, 1, internal::traits<Derived>::ColsAtCompileTime, ...
  type Block (line 18) | typedef const Block<const Derived, 1, internal::traits<Derived>::ColsAtC...
  type Block (line 20) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, Dyn...
  type Block (line 21) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 23) | typedef Block<Derived, Dynamic, internal::traits<Derived>::ColsAtCompile...
  type Block (line 24) | typedef const Block<const Derived, Dynamic, internal::traits<Derived>::C...
  type Block (line 26) | typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, N, ...
  type Block (line 27) | typedef const Block<const Derived, internal::traits<Derived>::RowsAtComp...
  type Block (line 29) | typedef Block<Derived, N, internal::traits<Derived>::ColsAtCompileTime, ...
  type Block (line 30) | typedef const Block<const Derived, N, internal::traits<Derived>::ColsAtC...
  type Block (line 32) | typedef Block<Derived> BlockXpr;
  type Block (line 33) | typedef const Block<const Derived> ConstBlockXpr;
  type Block (line 35) | typedef Block<Derived,Rows,Cols> Type;
  type Block (line 36) | typedef Block<const Derived,Rows,Cols> Type;
  type VectorBlock (line 38) | typedef VectorBlock<Derived> SegmentReturnType;
  type VectorBlock (line 39) | typedef const VectorBlock<const Derived> ConstSegmentReturnType;
  type VectorBlock (line 40) | typedef VectorBlock<Derived, Size> Type;
  type VectorBlock (line 41) | typedef const VectorBlock<const Derived, Size> Type;
  type Block (line 44) | typedef Block<Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true>   ...
  type Block (line 45) | typedef Block<const Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,tr...
  type Block (line 48) | typedef Block<Derived,Dynamic,Dynamic,true> InnerVectorsReturnType;
  type Block (line 49) | typedef Block<const Derived,Dynamic,Dynamic,true> ConstInnerVectorsRetur...
  function typename (line 582) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 657) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 733) | const typename ConstNRowsBlockXpr<...>::Type
  function typename (line 809) | const typename ConstNColsBlockXpr<...>::Type
  function typename (line 884) | const typename ConstNColsBlockXpr<...>::Type
  function typename (line 960) | const typename ConstNColsBlockXpr<...>::Type
  function EIGEN_STRONG_INLINE (line 1096) | EIGEN_STRONG_INLINE
  function ConstColXpr (line 1104) | ConstColXpr col(Index i) const
  function EIGEN_STRONG_INLINE (line 1117) | EIGEN_STRONG_INLINE
  function ConstRowXpr (line 1125) | ConstRowXpr row(Index i) const
  function ConstInnerVectorReturnType (line 1387) | const ConstInnerVectorReturnType innerVector(Index outer) const
  function InnerVectorsReturnType (line 1394) | InnerVectorsReturnType
  function ConstInnerVectorsReturnType (line 1407) | const ConstInnerVectorsReturnType

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/plugins/CommonCwiseUnaryOps.h
  type typename (line 16) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 21) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 26) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type CwiseUnaryOp (line 31) | typedef CwiseUnaryOp<internal::scalar_imag_op<Scalar>, const
  type CwiseUnaryView (line 33) | typedef CwiseUnaryView<internal::scalar_imag_ref_op<Scalar>, Derived> No...
  type CwiseUnaryOp (line 35) | typedef CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const
  type typename (line 48) | typedef typename internal::cast_return_type<Derived,const

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/plugins/IndexedViewMethods.h
  type typename (line 36) | typedef typename internal::IndexedViewCompatibleType<Index,1>::type IvcI...
  type IndexedView (line 62) | typedef IndexedView<EIGEN_INDEXED_VIEW_METHOD_CONST Derived,
  type typename (line 87) | typedef typename internal::traits<typename EIGEN_INDEXED_VIEW_METHOD_TYP...

FILE: extensions/ngp_raymarch/include/op_include/eigen/Eigen/src/plugins/MatrixCwiseUnaryOps.h
  type CwiseUnaryOp (line 15) | typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const
  type CwiseUnaryOp (line 16) | typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const
  type CwiseUnaryOp (line 17) | typedef CwiseUnaryOp<internal::scalar_arg_op<Scalar>, const
  type CwiseUnaryOp (line 18) | typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const
  type CwiseUnaryOp (line 19) | typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const
  type CwiseUnaryOp (line 20) | typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/BenchSparseUtil.h
  type SCALAR (line 22) | typedef SCALAR Scalar;
  type Matrix (line 23) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 24) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type SparseMatrix (line 25) | typedef SparseMatrix<Scalar> EigenSparseMatrix;
  function fillMatrix (line 27) | void fillMatrix(float density, int rows, int cols,  EigenSparseMatrix& dst)
  function fillMatrix2 (line 42) | void fillMatrix2(int nnzPerCol, int rows, int cols,  EigenSparseMatrix& ...
  function eiToDense (line 62) | void eiToDense(const EigenSparseMatrix& src, DenseMatrix& dst)
  type gmm (line 72) | typedef gmm::csc_matrix<Scalar> GmmSparse;
  type gmm (line 73) | typedef gmm::col_matrix< gmm::wsvector<Scalar> > GmmDynSparse;
  function eiToGmm (line 74) | void eiToGmm(const EigenSparseMatrix& src, GmmSparse& dst)
  type mtl (line 86) | typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::col_...
  type mtl (line 87) | typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::row_...
  function eiToMtl (line 88) | void eiToMtl(const EigenSparseMatrix& src, MtlSparse& dst)
  function eiToCSparse (line 101) | void eiToCSparse(const EigenSparseMatrix& src, cs* &dst)
  type boost (line 126) | typedef boost::numeric::ublas::compressed_matrix<Scalar,boost::numeric::...
  function eiToUblas (line 128) | void eiToUblas(const EigenSparseMatrix& src, UBlasSparse& dst)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/BenchTimer.h
  function escape (line 30) | static void escape(void *p) {
  function clobber (line 36) | static void clobber() {
  function namespace (line 44) | namespace Eigen

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/analyze-blocking-sizes.cpp
  function log2_pot (line 34) | uint8_t log2_pot(size_t x) {
  function compact_size_triple (line 40) | uint16_t compact_size_triple(size_t k, size_t m, size_t n)
  type size_triple_t (line 46) | struct size_triple_t
    method size_triple_t (line 49) | size_triple_t() : k(0), m(0), n(0) {}
    method size_triple_t (line 50) | size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {}
    method size_triple_t (line 51) | size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {}
    method size_triple_t (line 52) | size_triple_t(uint16_t compact)
    method is_cubic (line 58) | bool is_cubic() const { return k == m && m == n; }
  function ostream (line 61) | ostream& operator<<(ostream& s, const size_triple_t& t)
  type inputfile_entry_t (line 66) | struct inputfile_entry_t
  type inputfile_t (line 74) | struct inputfile_t
    type type_t (line 76) | enum class type_t {
    method inputfile_t (line 86) | inputfile_t(const string& fname)
  type preprocessed_inputfile_entry_t (line 195) | struct preprocessed_inputfile_entry_t
  function lower_efficiency (line 203) | bool lower_efficiency(const preprocessed_inputfile_entry_t& e1, const pr...
  type preprocessed_inputfile_t (line 208) | struct preprocessed_inputfile_t
    method preprocessed_inputfile_t (line 213) | preprocessed_inputfile_t(const inputfile_t& inputfile)
    method import_input_file_range_one_product_size (line 233) | void import_input_file_range_one_product_size(
  function check_all_files_in_same_exact_order (line 257) | void check_all_files_in_same_exact_order(
  function efficiency_of_subset (line 297) | float efficiency_of_subset(
  function dump_table_for_subset (line 334) | void dump_table_for_subset(
  function efficiency_of_partition (line 400) | float efficiency_of_partition(
  function make_first_subset (line 411) | void make_first_subset(size_t subset_size, vector<size_t>& out_subset, s...
  function is_last_subset (line 420) | bool is_last_subset(const vector<size_t>& subset, size_t set_size)
  function next_subset (line 425) | void next_subset(vector<size_t>& inout_subset, size_t set_size)
  function is_number_of_subsets_feasible (line 447) | bool is_number_of_subsets_feasible(size_t n, size_t p)
  function max_feasible_subset_size (line 461) | size_t max_feasible_subset_size(size_t n)
  function find_subset_with_efficiency_higher_than (line 473) | void find_subset_with_efficiency_higher_than(
  function find_partition_with_efficiency_higher_than (line 545) | void find_partition_with_efficiency_higher_than(
  function print_partition (line 568) | void print_partition(
  type action_t (line 589) | struct action_t
    method run (line 592) | virtual void run(const vector<string>&) const { abort(); }
  type partition_action_t (line 596) | struct partition_action_t : action_t
    method run (line 599) | virtual void run(const vector<string>& input_filenames) const override
  type evaluate_defaults_action_t (line 668) | struct evaluate_defaults_action_t : action_t
    type results_entry_t (line 670) | struct results_entry_t {
    method ostream (line 678) | ostream& operator<<(ostream& s, const results_entry_t& entry)
    method lower_efficiency (line 689) | static bool lower_efficiency(const results_entry_t& e1, const results_...
    method show_usage_and_exit (line 693) | void show_usage_and_exit() const
    method run (line 700) | virtual void run(const vector<string>& input_filenames) const override
  function show_usage_and_exit (line 798) | void show_usage_and_exit(int argc, char* argv[],
  function main (line 810) | int main(int argc, char* argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/basicbenchmark.cpp
  function main (line 6) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchBlasGemm.cpp
  function main (line 34) | int main(int argc, char *argv[])
  function bench_eigengemm (line 165) | void bench_eigengemm(MyMatrix& mc, const MyMatrix& ma, const MyMatrix& m...
  function check_product (line 174) | void check_product(int M, int N, int K)
  function check_product (line 206) | void check_product(void)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchCholesky.cpp
  function benchLLT (line 28) | __attribute__ ((noinline)) void benchLLT(const MatrixType& m)
  function main (line 119) | int main(int argc, char* argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchEigenSolver.cpp
  function benchEigenSolver (line 34) | __attribute__ ((noinline)) void benchEigenSolver(const MatrixType& m)
  function main (line 189) | int main(int argc, char* argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchFFT.cpp
  function string (line 26) | string nameof<float>() {return "float";}
  function string (line 27) | string nameof<double>() {return "double";}
  function string (line 28) | string nameof<long double>() {return "long double";}
  function bench (line 44) | void bench(int nfft,bool fwd,bool unscaled=false, bool halfspec=false)
  function main (line 97) | int main(int argc,char ** argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchGeometry.cpp
  type func_opt (line 14) | enum func_opt
  type func (line 23) | struct func
  type func<res, arg1, arg2, TV> (line 26) | struct func<res, arg1, arg2, TV>
    method EIGEN_DONT_INLINE (line 28) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type func<res, arg1, arg2, TMATV> (line 36) | struct func<res, arg1, arg2, TMATV>
    method EIGEN_DONT_INLINE (line 38) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type func<res, arg1, arg2, TMATVMAT> (line 46) | struct func<res, arg1, arg2, TMATVMAT>
    method EIGEN_DONT_INLINE (line 48) | static EIGEN_DONT_INLINE res run( arg1& a1, arg2& a2 )
  type test_transform (line 56) | struct test_transform
    method run (line 58) | static void run()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchVecAdd.cpp
  function main (line 21) | int main(int argc, char* argv[])
  function benchVec (line 79) | void benchVec(MatrixXf& a, MatrixXf& b, MatrixXf& c)
  function benchVec (line 85) | void benchVec(VectorXf& a, VectorXf& b, VectorXf& c)
  function benchVec (line 91) | void benchVec(Scalar* a, Scalar* b, Scalar* c, int size)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/bench_gemm.cpp
  function blas_gemm (line 87) | void blas_gemm(const A& a, const B& b, MatrixXf& c)
  function blas_gemm (line 99) | void blas_gemm(const A& a, const B& b, MatrixXd& c)
  function blas_gemm (line 111) | void blas_gemm(const A& a, const B& b, MatrixXcf& c)
  function blas_gemm (line 123) | void blas_gemm(const A& a, const B& b, MatrixXcd& c)
  function matlab_cplx_cplx (line 138) | void matlab_cplx_cplx(const M& ar, const M& ai, const M& br, const M& bi...
  function matlab_real_cplx (line 147) | void matlab_real_cplx(const M& a, const M& br, const M& bi, M& cr, M& ci)
  function matlab_cplx_real (line 153) | void matlab_cplx_real(const M& ar, const M& ai, const M& b, M& cr, M& ci)
  function EIGEN_DONT_INLINE (line 162) | EIGEN_DONT_INLINE void gemm(const A& a, const B& b, C& c)
  function main (line 167) | int main(int argc, char ** argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/bench_move_semantics.cpp
  function copy_matrix (line 19) | void copy_matrix(MatrixType& m)
  function move_matrix (line 26) | void move_matrix(MatrixType&& m)
  function bench (line 33) | void bench(const std::string& label)
  function main (line 51) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/bench_norm.cpp
  function EIGEN_DONT_INLINE (line 9) | EIGEN_DONT_INLINE typename T::Scalar sqsumNorm(T& v)
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE typename T::Scalar stableNorm(T& v)
  function EIGEN_DONT_INLINE (line 21) | EIGEN_DONT_INLINE typename T::Scalar hypotNorm(T& v)
  function EIGEN_DONT_INLINE (line 27) | EIGEN_DONT_INLINE typename T::Scalar blueNorm(T& v)
  function EIGEN_DONT_INLINE (line 33) | EIGEN_DONT_INLINE typename T::Scalar lapackNorm(T& v)
  function EIGEN_DONT_INLINE (line 56) | EIGEN_DONT_INLINE typename T::Scalar twopassNorm(T& v)
  function EIGEN_DONT_INLINE (line 64) | EIGEN_DONT_INLINE typename T::Scalar bl2passNorm(T& v)
  function EIGEN_DONT_INLINE (line 70) | EIGEN_DONT_INLINE typename T::Scalar divacNorm(T& v)
  type Eigen (line 85) | namespace Eigen {
    type internal (line 86) | namespace internal {
      function Packet4f (line 88) | Packet4f plt(const Packet4f& a, Packet4f& b) { return _mm_cmplt_ps(a...
      function Packet2d (line 89) | Packet2d plt(const Packet2d& a, Packet2d& b) { return _mm_cmplt_pd(a...
      function Packet4f (line 91) | Packet4f pandnot(const Packet4f& a, Packet4f& b) { return _mm_andnot...
      function Packet2d (line 92) | Packet2d pandnot(const Packet2d& a, Packet2d& b) { return _mm_andnot...
  function EIGEN_DONT_INLINE (line 98) | EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
  function check_accuracy (line 246) | void check_accuracy(double basef, double based, int s)
  function check_accuracy_var (line 263) | void check_accuracy_var(int ef0, int ef1, int ed0, int ed1, int s)
  function main (line 283) | int main(int argc, char** argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/bench_reverse.cpp
  function bench_reverse (line 18) | __attribute__ ((noinline)) void bench_reverse(const MatrixType& m)
  function main (line 60) | int main(int argc, char* argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/bench_sum.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchmark-blocking-sizes.cpp
  type size_triple_t (line 62) | struct size_triple_t
    method size_triple_t (line 65) | size_triple_t() : k(0), m(0), n(0) {}
    method size_triple_t (line 66) | size_triple_t(size_t _k, size_t _m, size_t _n) : k(_k), m(_m), n(_n) {}
    method size_triple_t (line 67) | size_triple_t(const size_triple_t& o) : k(o.k), m(o.m), n(o.n) {}
    method size_triple_t (line 68) | size_triple_t(uint16_t compact)
  function log2_pot (line 76) | uint8_t log2_pot(size_t x) {
  function compact_size_triple (line 85) | uint16_t compact_size_triple(size_t k, size_t m, size_t n)
  function compact_size_triple (line 90) | uint16_t compact_size_triple(const size_triple_t& t)
  type benchmark_t (line 97) | struct benchmark_t
    method benchmark_t (line 103) | benchmark_t()
    method benchmark_t (line 110) | benchmark_t(size_t pk, size_t pm, size_t pn,
    method benchmark_t (line 117) | benchmark_t(size_t pk, size_t pm, size_t pn)
  function ostream (line 127) | ostream& operator<<(ostream& s, const benchmark_t& b)
  function print_cpuinfo (line 231) | void print_cpuinfo()
  function string (line 252) | string type_name()
  function string (line 258) | string type_name<float>()
  function string (line 264) | string type_name<double>()
  type action_t (line 269) | struct action_t
    method run (line 272) | virtual void run() const { abort(); }
  function show_usage_and_exit (line 276) | void show_usage_and_exit(int /*argc*/, char* argv[],
  function measure_clock_speed (line 297) | float measure_clock_speed()
  type human_duration_t (line 318) | struct human_duration_t
    method human_duration_t (line 321) | human_duration_t(int s) : seconds(s) {}
  function ostream (line 324) | ostream& operator<<(ostream& s, const human_duration_t& d)
  function serialize_benchmarks (line 345) | void serialize_benchmarks(const char* filename, const vector<benchmark_t...
  function deserialize_benchmarks (line 361) | bool deserialize_benchmarks(const char* filename, vector<benchmark_t>& b...
  function try_run_some_benchmarks (line 385) | void try_run_some_benchmarks(
  function run_benchmarks (line 501) | void run_benchmarks(vector<benchmark_t>& benchmarks)
  type measure_all_pot_sizes_action_t (line 565) | struct measure_all_pot_sizes_action_t : action_t
    method run (line 568) | virtual void run() const
  type measure_default_sizes_action_t (line 596) | struct measure_default_sizes_action_t : action_t
    method run (line 599) | virtual void run() const
  function main (line 621) | int main(int argc, char* argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchmark.cpp
  function main (line 22) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchmarkSlice.cpp
  function main (line 18) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchmarkX.cpp
  function main (line 22) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/benchmarkXcwise.cpp
  function main (line 21) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_aat_product.hh
  class Action_aat_product (line 32) | class Action_aat_product {
    method Action_aat_product (line 38) | Action_aat_product( int size ):_size(size)
    method Action_aat_product (line 60) | Action_aat_product( const  Action_aat_product & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 100) | inline void calculate( void ) {
    method check_result (line 106) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_ata_product.hh
  class Action_ata_product (line 32) | class Action_ata_product {
    method Action_ata_product (line 38) | Action_ata_product( int size ):_size(size)
    method Action_ata_product (line 60) | Action_ata_product( const  Action_ata_product & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 100) | inline void calculate( void ) {
    method check_result (line 106) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_atv_product.hh
  class Action_atv_product (line 32) | class Action_atv_product {
    method Action_atv_product (line 36) | Action_atv_product( int size ) : _size(size)
    method Action_atv_product (line 59) | Action_atv_product( const  Action_atv_product & )
    method name (line 78) | static inline std::string name() { return "atv_" + Interface::name(); }
    method nb_op_base (line 80) | double nb_op_base( void ) { return 2.0*_size*_size; }
    method initialize (line 82) | inline void initialize( void ){
    method BTL_DONT_INLINE (line 88) | BTL_DONT_INLINE void calculate( void ) {
    method check_result (line 94) | void check_result( void )

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_axpby.hh
  class Action_axpby (line 31) | class Action_axpby {
    method Action_axpby (line 36) | Action_axpby( int size ):_alpha(0.5),_beta(0.95),_size(size)
    method Action_axpby (line 54) | Action_axpby( const  Action_axpby & )
    method name (line 73) | static inline std::string name( void )
    method nb_op_base (line 78) | double nb_op_base( void ){
    method initialize (line 82) | inline void initialize( void ){
    method calculate (line 87) | inline void calculate( void ) {
    method check_result (line 93) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_axpy.hh
  class Action_axpy (line 32) | class Action_axpy {
    method Action_axpy (line 38) | Action_axpy( int size ):_coef(1.0),_size(size)
    method Action_axpy (line 61) | Action_axpy( const  Action_axpy & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 98) | inline void calculate( void ) {
    method check_result (line 104) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_cholesky.hh
  class Action_cholesky (line 31) | class Action_cholesky {
    method Action_cholesky (line 37) | Action_cholesky( int size ):_size(size)
    method Action_cholesky (line 64) | Action_cholesky( const  Action_cholesky & )
    method name (line 84) | static inline std::string name( void )
    method nb_op_base (line 89) | double nb_op_base( void ){
    method initialize (line 93) | inline void initialize( void ){
    method calculate (line 97) | inline void calculate( void ) {
    method check_result (line 101) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_ger.hh
  class Action_ger (line 27) | class Action_ger {
    method BTL_DONT_INLINE (line 32) | BTL_DONT_INLINE Action_ger( int size ):_size(size)
    method Action_ger (line 53) | Action_ger( const  Action_ger & )
    method BTL_DONT_INLINE (line 60) | BTL_DONT_INLINE ~Action_ger( void ){
    method name (line 72) | static inline std::string name( void )
    method nb_op_base (line 77) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 81) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 87) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 93) | BTL_DONT_INLINE void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_hessenberg.hh
  class Action_hessenberg (line 31) | class Action_hessenberg {
    method Action_hessenberg (line 37) | Action_hessenberg( int size ):_size(size)
    method Action_hessenberg (line 63) | Action_hessenberg( const  Action_hessenberg & )
    method name (line 83) | static inline std::string name( void )
    method nb_op_base (line 88) | double nb_op_base( void ){
    method initialize (line 92) | inline void initialize( void ){
    method calculate (line 96) | inline void calculate( void ) {
    method check_result (line 100) | void check_result( void ){
  class Action_tridiagonalization (line 131) | class Action_tridiagonalization {
    method Action_tridiagonalization (line 137) | Action_tridiagonalization( int size ):_size(size)
    method Action_tridiagonalization (line 169) | Action_tridiagonalization( const  Action_tridiagonalization & )
    method name (line 189) | static inline std::string name( void ) { return "tridiagonalization_"+...
    method nb_op_base (line 191) | double nb_op_base( void ){
    method initialize (line 195) | inline void initialize( void ){
    method calculate (line 199) | inline void calculate( void ) {
    method check_result (line 203) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_lu_decomp.hh
  class Action_lu_decomp (line 31) | class Action_lu_decomp {
    method Action_lu_decomp (line 37) | Action_lu_decomp( int size ):_size(size)
    method Action_lu_decomp (line 57) | Action_lu_decomp( const  Action_lu_decomp & )
    method name (line 77) | static inline std::string name( void )
    method nb_op_base (line 82) | double nb_op_base( void ){
    method initialize (line 86) | inline void initialize( void ){
    method calculate (line 90) | inline void calculate( void ) {
    method check_result (line 94) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_lu_solve.hh
  class Action_lu_solve (line 32) | class Action_lu_solve
    method name (line 37) | static inline std::string name( void )
    method nb_op_base (line 42) | static double nb_op_base(int size){
    method calculate (line 47) | static double calculate( int nb_calc, int size ) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_matrix_matrix_product.hh
  class Action_matrix_matrix_product (line 32) | class Action_matrix_matrix_product {
    method Action_matrix_matrix_product (line 38) | Action_matrix_matrix_product( int size ):_size(size)
    method Action_matrix_matrix_product (line 63) | Action_matrix_matrix_product( const  Action_matrix_matrix_product & )
    method name (line 89) | static inline std::string name( void )
    method nb_op_base (line 94) | double nb_op_base( void ){
    method initialize (line 98) | inline void initialize( void ){
    method calculate (line 106) | inline void calculate( void ) {
    method check_result (line 110) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_matrix_matrix_product_bis.hh
  class Action_matrix_matrix_product_bis (line 33) | class Action_matrix_matrix_product_bis {
    method name (line 37) | static inline std::string name( void )
    method nb_op_base (line 42) | static double nb_op_base(int size){
    method calculate (line 46) | static double calculate( int nb_calc, int size ) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_matrix_vector_product.hh
  class Action_matrix_vector_product (line 32) | class Action_matrix_vector_product {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_matrix_vector_product( int size ):_size(size)
    method Action_matrix_vector_product (line 62) | Action_matrix_vector_product( const  Action_matrix_vector_product & )
    method BTL_DONT_INLINE (line 70) | BTL_DONT_INLINE ~Action_matrix_vector_product( void ){
    method name (line 88) | static inline std::string name( void )
    method nb_op_base (line 93) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 97) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 105) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 111) | BTL_DONT_INLINE void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_partial_lu.hh
  class Action_partial_lu (line 31) | class Action_partial_lu {
    method Action_partial_lu (line 37) | Action_partial_lu( int size ):_size(size)
    method Action_partial_lu (line 59) | Action_partial_lu( const  Action_partial_lu & )
    method name (line 79) | static inline std::string name( void )
    method nb_op_base (line 84) | double nb_op_base( void ){
    method initialize (line 88) | inline void initialize( void ){
    method calculate (line 92) | inline void calculate( void ) {
    method check_result (line 96) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_rot.hh
  class Action_rot (line 27) | class Action_rot {
    method BTL_DONT_INLINE (line 32) | BTL_DONT_INLINE Action_rot( int size ):_size(size)
    method Action_rot (line 49) | Action_rot( const  Action_rot & )
    method BTL_DONT_INLINE (line 56) | BTL_DONT_INLINE ~Action_rot( void ){
    method name (line 65) | static inline std::string name( void )
    method nb_op_base (line 70) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 74) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 79) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 85) | BTL_DONT_INLINE void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_symv.hh
  class Action_symv (line 32) | class Action_symv {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_symv( int size ):_size(size)
    method Action_symv (line 60) | Action_symv( const  Action_symv & )
    method BTL_DONT_INLINE (line 67) | BTL_DONT_INLINE ~Action_symv( void ){
    method name (line 78) | static inline std::string name( void )
    method nb_op_base (line 83) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 87) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 95) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 101) | BTL_DONT_INLINE void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_syr2.hh
  class Action_syr2 (line 32) | class Action_syr2 {
    method BTL_DONT_INLINE (line 38) | BTL_DONT_INLINE Action_syr2( int size ):_size(size)
    method Action_syr2 (line 57) | Action_syr2( const  Action_syr2 & )
    method BTL_DONT_INLINE (line 64) | BTL_DONT_INLINE ~Action_syr2( void ){
    method name (line 75) | static inline std::string name( void )
    method nb_op_base (line 80) | double nb_op_base( void ){
    method BTL_DONT_INLINE (line 84) | BTL_DONT_INLINE  void initialize( void ){
    method BTL_DONT_INLINE (line 90) | BTL_DONT_INLINE void calculate( void ) {
    method BTL_DONT_INLINE (line 96) | BTL_DONT_INLINE void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_trisolve.hh
  class Action_trisolve (line 31) | class Action_trisolve {
    method Action_trisolve (line 37) | Action_trisolve( int size ):_size(size)
    method Action_trisolve (line 68) | Action_trisolve( const  Action_trisolve & )
    method name (line 88) | static inline std::string name( void )
    method nb_op_base (line 93) | double nb_op_base( void ){
    method initialize (line 97) | inline void initialize( void ){
    method calculate (line 101) | inline void calculate( void ) {
    method check_result (line 105) | void check_result(){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_trisolve_matrix.hh
  class Action_trisolve_matrix (line 32) | class Action_trisolve_matrix {
    method Action_trisolve_matrix (line 38) | Action_trisolve_matrix( int size ):_size(size)
    method Action_trisolve_matrix (line 76) | Action_trisolve_matrix( const  Action_trisolve_matrix & )
    method name (line 102) | static inline std::string name( void )
    method nb_op_base (line 107) | double nb_op_base( void ){
    method initialize (line 111) | inline void initialize( void ){
    method calculate (line 119) | inline void calculate( void ) {
    method check_result (line 123) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/actions/action_trmm.hh
  class Action_trmm (line 32) | class Action_trmm {
    method Action_trmm (line 38) | Action_trmm( int size ):_size(size)
    method Action_trmm (line 76) | Action_trmm( const  Action_trmm & )
    method name (line 102) | static inline std::string name( void )
    method nb_op_base (line 107) | double nb_op_base( void ){
    method initialize (line 111) | inline void initialize( void ){
    method calculate (line 119) | inline void calculate( void ) {
    method check_result (line 123) | void check_result( void ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/bench.hh
  function BTL_DONT_INLINE (line 41) | BTL_DONT_INLINE void bench( int size_min, int size_max, int nb_point )
  function BTL_DONT_INLINE (line 154) | BTL_DONT_INLINE void bench( int size_min, int size_max, int nb_point ){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/btl.hh
  class BtlString (line 57) | class BtlString : public std::string
    method BtlString (line 60) | BtlString() : std::string() {}
    method BtlString (line 61) | BtlString(const BtlString& str) : std::string(static_cast<const std::s...
    method BtlString (line 62) | BtlString(const std::string& str) : std::string(str) {}
    method BtlString (line 63) | BtlString(const char* str) : std::string(str) {}
    method trim (line 67) | void trim( bool left = true, bool right = true )
    method split (line 81) | std::vector<BtlString> split( const BtlString& delims = "\t\n ") const
    method endsWith (line 108) | bool endsWith(const BtlString& str) const
    method contains (line 114) | bool contains(const BtlString& str) const
    method beginsWith (line 118) | bool beginsWith(const BtlString& str) const
    method BtlString (line 125) | BtlString toLowerCase( void )
    method BtlString (line 130) | BtlString toUpperCase( void )
    method isEquiv (line 138) | bool isEquiv(const BtlString& str) const
    method decomposePathAndFile (line 150) | void decomposePathAndFile(BtlString& path, BtlString& filename) const
  class BtlConfig (line 163) | class BtlConfig
    method BtlConfig (line 166) | BtlConfig()
    method BTL_DONT_INLINE (line 216) | BTL_DONT_INLINE static bool skipAction(const std::string& _name)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/init/init_function.hh
  function simple_function (line 23) | double simple_function(int index)
  function simple_function (line 28) | double simple_function(int index_i, int index_j)
  function pseudo_random (line 33) | double pseudo_random(int /*index*/)
  function pseudo_random (line 38) | double pseudo_random(int /*index_i*/, int /*index_j*/)
  function null_function (line 44) | double null_function(int /*index*/)
  function null_function (line 49) | double null_function(int /*index_i*/, int /*index_j*/)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/init/init_matrix.hh
  function BTL_DONT_INLINE (line 28) | BTL_DONT_INLINE void init_row(Vector & X, int size, int row){
  function BTL_DONT_INLINE (line 43) | BTL_DONT_INLINE void init_matrix(Vector &  A, int size){
  function BTL_DONT_INLINE (line 51) | BTL_DONT_INLINE void init_matrix_symm(Matrix&  A, int size){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/init/init_vector.hh
  function init_vector (line 28) | void init_vector(Vector & X, int size){

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/static/bench_static.hh
  function BTL_DONT_INLINE (line 37) | BTL_DONT_INLINE  void bench_static(void)
  function BTL_DONT_INLINE (line 58) | BTL_DONT_INLINE  void bench_static(void)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/static/intel_bench_fixed_size.hh
  function bench_fixed_size (line 27) | double bench_fixed_size(int size, unsigned long long  & nb_calc,unsigned...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/static/static_size_generator.hh
  type static_size_generator (line 29) | struct static_size_generator{
    method go (line 30) | static void go(vector<double> & tab_sizes, vector<double> & tab_mflops)
  type static_size_generator<1,Perf_Analyzer,Action,Interface> (line 44) | struct static_size_generator<1,Perf_Analyzer,Action,Interface>{
    method go (line 45) | static  void go(vector<double> & tab_sizes, vector<double> & tab_mflops)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/STL_perf_analyzer.hh
  class STL_Perf_Analyzer (line 27) | class STL_Perf_Analyzer{
    method STL_Perf_Analyzer (line 29) | STL_Perf_Analyzer(unsigned long long nb_sample=DEFAULT_NB_SAMPLE):_nb_...
    method STL_Perf_Analyzer (line 33) | STL_Perf_Analyzer( const STL_Perf_Analyzer & ){
    method eval_mflops (line 42) | inline double eval_mflops(int size)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/STL_timer.hh
  class STL_Timer (line 30) | class STL_Timer {
    method STL_Timer (line 32) | STL_Timer(){ baseline = false; }
    method start (line 34) | void start(unsigned int r){
    method start_baseline (line 42) | void start_baseline(unsigned int r)
    method check (line 48) | bool check()
    method get_time (line 60) | double get_time( void )

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/mixed_perf_analyzer.hh
  class Mixed_Perf_Analyzer (line 30) | class Mixed_Perf_Analyzer{
    method Mixed_Perf_Analyzer (line 33) | Mixed_Perf_Analyzer( void ):_x86pa(),_ppa(),_use_ppa(true)
    method Mixed_Perf_Analyzer (line 37) | Mixed_Perf_Analyzer( const Mixed_Perf_Analyzer & ){
    method eval_mflops (line 46) | inline double eval_mflops(int size)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/portable_perf_analyzer.hh
  class Portable_Perf_Analyzer (line 28) | class Portable_Perf_Analyzer{
    method Portable_Perf_Analyzer (line 30) | Portable_Perf_Analyzer( ):_nb_calc(0), m_time_action(0), _chronos(){
    method Portable_Perf_Analyzer (line 33) | Portable_Perf_Analyzer( const Portable_Perf_Analyzer & ){
    method BTL_DONT_INLINE (line 41) | BTL_DONT_INLINE double eval_mflops(int size)
    method BTL_DONT_INLINE (line 76) | BTL_DONT_INLINE double time_calculate(Action & action)
    method get_nb_calc (line 89) | unsigned long long get_nb_calc()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/portable_perf_analyzer_old.hh
  class Portable_Perf_Analyzer (line 27) | class Portable_Perf_Analyzer{
    method Portable_Perf_Analyzer (line 29) | Portable_Perf_Analyzer( void ):_nb_calc(1),_nb_init(1),_chronos(){
    method Portable_Perf_Analyzer (line 32) | Portable_Perf_Analyzer( const Portable_Perf_Analyzer & ){
    method eval_mflops (line 42) | inline double eval_mflops(int size)
    method time_init (line 97) | inline double time_init(Action & action)
    method time_calculate (line 108) | inline double time_calculate(Action & action)
    method get_nb_calc (line 121) | unsigned long long get_nb_calc( void )

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/portable_timer.hh
  class Portable_Timer (line 47) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()
  class Portable_Timer (line 95) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()
  class Portable_Timer (line 139) | class Portable_Timer
    method Portable_Timer (line 57) | Portable_Timer()
    method start (line 64) | void start() { QueryPerformanceCounter(&startVal); }
    method stop (line 66) | void stop() { QueryPerformanceCounter(&stopVal); }
    method elapsed (line 68) | double elapsed() {
    method user_time (line 74) | double user_time() { return elapsed(); }
    method LIToSecs (line 79) | double LIToSecs(LARGE_INTEGER& L) {
    method Portable_Timer (line 99) | Portable_Timer()
    method start (line 103) | void start()
    method stop (line 109) | void stop()
    method elapsed (line 115) | double elapsed()
    method user_time (line 120) | double user_time()
    method Portable_Timer (line 143) | Portable_Timer()
    method Portable_Timer (line 148) | Portable_Timer(int clkid) : m_clkid(clkid)
    method start (line 151) | void start()
    method stop (line 159) | void stop()
    method elapsed (line 167) | double elapsed()
    method user_time (line 172) | double user_time()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/x86_perf_analyzer.hh
  class X86_Perf_Analyzer (line 27) | class X86_Perf_Analyzer{
    method X86_Perf_Analyzer (line 29) | X86_Perf_Analyzer( unsigned long long nb_sample=DEFAULT_NB_SAMPLE):_nb...
    method X86_Perf_Analyzer (line 34) | X86_Perf_Analyzer( const X86_Perf_Analyzer & ){
    method eval_mflops (line 43) | inline double eval_mflops(int size)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/timers/x86_timer.hh
  class X86_Timer (line 44) | class X86_Timer {
    method X86_Timer (line 48) | X86_Timer( void ):_frequency(FREQUENCY),_nb_sample(0)
    method start (line 53) | inline void start( void ){
    method stop (line 60) | inline void stop( void ){
    method frequency (line 67) | inline double frequency( void ){
    method get_elapsed_time_in_second (line 71) | double get_elapsed_time_in_second( void ){
    method get_click (line 78) | unsigned long long  get_click( void ){
    method find_frequency (line 84) | inline void find_frequency( void ){
    method add_get_click (line 111) | void  add_get_click( void ){
    method dump_statistics (line 119) | void dump_statistics(string filemane){
    method dump_history (line 133) | void dump_history(string filemane){
    method get_mean_clicks (line 153) | double get_mean_clicks( void ){
    method get_shortest_clicks (line 169) | double get_shortest_clicks( void ){
    method fill_history_clicks (line 175) | void fill_history_clicks( void ){
    method get_most_occured_clicks (line 184) | double get_most_occured_clicks( void ){
    method clear (line 204) | void clear( void )

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/utils/size_lin_log.hh
  function size_lin_log (line 26) | void size_lin_log(const int nb_point, const int /*size_min*/, const int ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/utils/size_log.hh
  function size_log (line 29) | void size_log(const int nb_point, const int size_min, const int size_max...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/generic_bench/utils/xy_file.hh
  function read_xy_file (line 28) | bool read_xy_file(const std::string & filename, std::vector<int> & tab_s...
  function dump_xy_file (line 64) | void dump_xy_file(const Vector_A & X, const Vector_B & Y, const std::str...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/BLAS/blas.h
  type BLASLONG (line 7) | typedef long long BLASLONG;
  type BLASULONG (line 8) | typedef unsigned long long BLASULONG;
  type BLASLONG (line 10) | typedef long BLASLONG;
  type BLASULONG (line 11) | typedef unsigned long BLASULONG;

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/BLAS/blas_interface.hh
  class blas_interface (line 54) | class blas_interface

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/BLAS/blas_interface_impl.hh
  class blas_interface<SCALAR> (line 4) | class blas_interface<SCALAR> : public c_interface_base<SCALAR>
    method name (line 12) | static inline std::string name()
    method matrix_vector_product (line 17) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method symv (line 21) | static inline void symv(gene_matrix & A, gene_vector & B, gene_vector ...
    method syr2 (line 25) | static inline void syr2(gene_matrix & A, gene_vector & B, gene_vector ...
    method ger (line 29) | static inline void ger(gene_matrix & A, gene_vector & X, gene_vector &...
    method rot (line 33) | static inline void rot(gene_vector & A,  gene_vector & B, SCALAR c, SC...
    method atv_product (line 37) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method matrix_matrix_product (line 41) | static inline void matrix_matrix_product(gene_matrix & A, gene_matrix ...
    method transposed_matrix_matrix_product (line 45) | static inline void transposed_matrix_matrix_product(gene_matrix & A, g...
    method ata_product (line 49) | static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
    method aat_product (line 53) | static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
    method axpy (line 57) | static inline void axpy(SCALAR coef, const gene_vector & X, gene_vecto...
    method axpby (line 61) | static inline void axpby(SCALAR a, const gene_vector & X, SCALAR b, ge...
    method cholesky (line 66) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method partial_lu_decomp (line 75) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method trisolve_lower (line 84) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 89) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method trmm (line 94) | static inline void trmm(gene_matrix & A, gene_matrix & B, gene_matrix ...
    method lu_decomp (line 100) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method hessenberg (line 111) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...
    method tridiagonalization (line 127) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/BLAS/c_interface_base.h
  type std (line 14) | typedef std::vector<real>         stl_vector;
  type std (line 15) | typedef std::vector<stl_vector >  stl_matrix;
  type real (line 17) | typedef real* gene_matrix;
  type real (line 18) | typedef real* gene_vector;
  function free_matrix (line 20) | static void free_matrix(gene_matrix & A, int /*N*/){
  function free_vector (line 24) | static void free_vector(gene_vector & B){
  function matrix_from_stl (line 28) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
  function vector_from_stl (line 36) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
  function vector_to_stl (line 43) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
  function matrix_to_stl (line 49) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
  function copy_vector (line 58) | static inline void copy_vector(const gene_vector & source, gene_vector &...
  function copy_matrix (line 63) | static inline void copy_matrix(const gene_matrix & source, gene_matrix &...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/BLAS/main.cpp
  function main (line 36) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/STL/STL_interface.hh
  class STL_interface (line 29) | class STL_interface{
    method name (line 42) | static inline std::string name( void )
    method free_matrix (line 47) | static void free_matrix(gene_matrix & /*A*/, int /*N*/){}
    method free_vector (line 49) | static void free_vector(gene_vector & /*B*/){}
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 55) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 59) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 64) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_vector (line 68) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method copy_matrix (line 75) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method ata_product (line 81) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 94) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_matrix_product (line 112) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 125) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method symv (line 136) | static inline void symv(gene_matrix & A, gene_vector & B, gene_vector ...
    method syr2 (line 153) | static inline void syr2(gene_matrix & A, gene_vector & B, gene_vector ...
    method ger (line 162) | static inline void ger(gene_matrix & A, gene_vector & X, gene_vector &...
    method atv_product (line 171) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 182) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 187) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method trisolve_lower (line 192) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method real (line 203) | static inline real norm_diff(const stl_vector & A, const stl_vector & B)
    method real (line 217) | static inline real norm_diff(const stl_matrix & A, const stl_matrix & B)
    method display_vector (line 234) | static inline void display_vector(const stl_vector & A)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/STL/main.cpp
  function main (line 27) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/blaze/blaze_interface.hh
  class blaze_interface (line 29) | class blaze_interface {
    method name (line 41) | static inline std::string name() { return "blaze"; }
    method free_matrix (line 43) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 47) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 61) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 68) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 74) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method EIGEN_DONT_INLINE (line 84) | static EIGEN_DONT_INLINE void matrix_matrix_product(const gene_matrix ...
    method EIGEN_DONT_INLINE (line 88) | static EIGEN_DONT_INLINE void transposed_matrix_matrix_product(const g...
    method EIGEN_DONT_INLINE (line 92) | static EIGEN_DONT_INLINE void ata_product(const gene_matrix & A, gene_...
    method EIGEN_DONT_INLINE (line 96) | static EIGEN_DONT_INLINE void aat_product(const gene_matrix & A, gene_...
    method EIGEN_DONT_INLINE (line 100) | static EIGEN_DONT_INLINE void matrix_vector_product(gene_matrix & A, g...
    method EIGEN_DONT_INLINE (line 104) | static EIGEN_DONT_INLINE void atv_product(gene_matrix & A, gene_vector...
    method EIGEN_DONT_INLINE (line 108) | static EIGEN_DONT_INLINE void axpy(const real coef, const gene_vector ...
    method EIGEN_DONT_INLINE (line 112) | static EIGEN_DONT_INLINE void axpby(real a, const gene_vector & X, rea...
    method copy_matrix (line 131) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 135) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/blaze/main.cpp
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/blitz/blitz_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/blitz/blitz_interface.hh
  class blitz_interface (line 34) | class blitz_interface{
    method name (line 48) | static inline std::string name() { return "blitz"; }
    method free_matrix (line 50) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 52) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 54) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 63) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 70) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 76) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 85) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method ata_product (line 93) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 101) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 109) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 116) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 123) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method copy_matrix (line 130) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 140) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/blitz/btl_blitz.cpp
  function main (line 34) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/blitz/btl_tiny_blitz.cpp
  function main (line 29) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/blitz/tiny_blitz_interface.hh
  class tiny_blitz_interface (line 34) | class tiny_blitz_interface
    method name (line 47) | static inline std::string name() { return "tiny_blitz"; }
    method free_matrix (line 49) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 51) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 53) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 59) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 64) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 69) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_matrix (line 79) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 85) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method matrix_matrix_product (line 91) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 95) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method axpy (line 99) | static inline void axpy(const real coef, const gene_vector & X, gene_v...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen2/btl_tiny_eigen2.cpp
  function main (line 33) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen2/eigen2_interface.hh
  class eigen2_interface (line 31) | class eigen2_interface
    method name (line 46) | static inline std::string name( void )
    method free_matrix (line 57) | static void free_matrix(gene_matrix & A, int N) {}
    method free_vector (line 59) | static void free_vector(gene_vector & B) {}
    method BTL_DONT_INLINE (line 61) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 71) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 79) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 85) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 96) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 100) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 104) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 108) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 112) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method atv_product (line 116) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 120) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 124) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method copy_matrix (line 128) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 132) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method trisolve_lower (line 136) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 140) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method cholesky (line 144) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method lu_decomp (line 151) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method tridiagonalization (line 156) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...
    method hessenberg (line 160) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen2/main_adv.cpp
  function main (line 30) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen2/main_linear.cpp
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen2/main_matmat.cpp
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen2/main_vecmat.cpp
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen3/btl_tiny_eigen3.cpp
  function main (line 33) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen3/eigen3_interface.hh
  class eigen3_interface (line 28) | class eigen3_interface
    method name (line 43) | static inline std::string name( void )
    method free_matrix (line 48) | static void free_matrix(gene_matrix & /*A*/, int /*N*/) {}
    method free_vector (line 50) | static void free_vector(gene_vector & /*B*/) {}
    method BTL_DONT_INLINE (line 52) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 62) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 70) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 76) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 87) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 91) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 95) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 101) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 106) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method symv (line 110) | static inline void symv(const gene_matrix & A, const gene_vector & B, ...
    method triassign (line 115) | static void triassign(Dest& dst, const Src& src)
    method EIGEN_DONT_INLINE (line 160) | static EIGEN_DONT_INLINE void syr2(gene_matrix & A,  gene_vector & X, ...
    method EIGEN_DONT_INLINE (line 166) | static EIGEN_DONT_INLINE void ger(gene_matrix & A,  gene_vector & X, g...
    method EIGEN_DONT_INLINE (line 171) | static EIGEN_DONT_INLINE void rot(gene_vector & A,  gene_vector & B, r...
    method atv_product (line 175) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 179) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 183) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method EIGEN_DONT_INLINE (line 187) | static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, ...
    method EIGEN_DONT_INLINE (line 191) | static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, ...
    method trisolve_lower (line 195) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method trisolve_lower_matrix (line 199) | static inline void trisolve_lower_matrix(const gene_matrix & L, const ...
    method trmm (line 203) | static inline void trmm(const gene_matrix & L, const gene_matrix& B, g...
    method cholesky (line 207) | static inline void cholesky(const gene_matrix & X, gene_matrix & C, in...
    method lu_decomp (line 216) | static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, i...
    method partial_lu_decomp (line 220) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method tridiagonalization (line 228) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...
    method hessenberg (line 234) | static inline void hessenberg(const gene_matrix & X, gene_matrix & C, ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen3/main_adv.cpp
  function main (line 30) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen3/main_linear.cpp
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen3/main_matmat.cpp
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/eigen3/main_vecmat.cpp
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/gmm/gmm_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/gmm/gmm_interface.hh
  class gmm_interface (line 27) | class gmm_interface {
    method name (line 39) | static inline std::string name( void )
    method free_matrix (line 44) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 48) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 52) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 62) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 66) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 70) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 81) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 85) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method ata_product (line 89) | static inline void ata_product(const gene_matrix & A, gene_matrix & X,...
    method aat_product (line 93) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 97) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 101) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 105) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 109) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method copy_matrix (line 113) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 117) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method trisolve_lower (line 121) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method partial_lu_decomp (line 126) | static inline void partial_lu_decomp(const gene_matrix & X, gene_matri...
    method hessenberg (line 132) | static inline void hessenberg(const gene_matrix & X, gene_matrix & R, ...
    method tridiagonalization (line 137) | static inline void tridiagonalization(const gene_matrix & X, gene_matr...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/gmm/main.cpp
  function main (line 27) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/mtl4/main.cpp
  function main (line 27) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/mtl4/mtl4_LU_solve_interface.hh
  class blitz_LU_solve_interface (line 29) | class blitz_LU_solve_interface : public blitz_interface<real>
    method new_Pivot_Vector (line 39) | inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
    method free_Pivot_Vector (line 46) | inline static void free_Pivot_Vector(Pivot_Vector & pivot)
    method real (line 54) | static inline real matrix_vector_product_sliced(const gene_matrix & A,...
    method real (line 72) | static inline real matrix_matrix_product_sliced(gene_matrix & A, int r...
    method LU_factor (line 87) | inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, i...
    method LU_solve (line 150) | inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/mtl4/mtl4_interface.hh
  class mtl4_interface (line 29) | class mtl4_interface {
    method name (line 41) | static inline std::string name() { return "mtl4"; }
    method free_matrix (line 43) | static void free_matrix(gene_matrix & A, int N){
    method free_vector (line 47) | static void free_vector(gene_vector & B){
    method matrix_from_stl (line 51) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 61) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 68) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 74) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method matrix_matrix_product (line 84) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method transposed_matrix_matrix_product (line 91) | static inline void transposed_matrix_matrix_product(const gene_matrix ...
    method aat_product (line 99) | static inline void aat_product(const gene_matrix & A, gene_matrix & X,...
    method matrix_vector_product (line 103) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 107) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 111) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 115) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method trisolve_lower (line 130) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...
    method copy_matrix (line 134) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 138) | static inline void copy_vector(const gene_vector & source, gene_vector...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/tensors/main_linear.cpp
  function main (line 17) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/tensors/main_matmat.cpp
  function main (line 16) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/tensors/main_vecmat.cpp
  function main (line 16) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/tensors/tensor_interface.hh
  class tensor_interface (line 19) | class tensor_interface
    method name (line 32) | static inline std::string name( void )
    method free_matrix (line 37) | static void free_matrix(gene_matrix & /*A*/, int /*N*/) {}
    method free_vector (line 39) | static void free_vector(gene_vector & /*B*/) {}
    method BTL_DONT_INLINE (line 41) | static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matri...
    method BTL_DONT_INLINE (line 51) | static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vect...
    method BTL_DONT_INLINE (line 59) | static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector...
    method BTL_DONT_INLINE (line 65) | static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix...
    method matrix_matrix_product (line 76) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 82) | static inline void matrix_vector_product(const gene_matrix & A, const ...
    method axpy (line 88) | static inline void axpy(real coef, const gene_vector & X, gene_vector ...
    method axpby (line 92) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method EIGEN_DONT_INLINE (line 96) | static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, ...
    method EIGEN_DONT_INLINE (line 100) | static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/tvmet/main.cpp
  function main (line 30) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/tvmet/tvmet_interface.hh
  class tvmet_interface (line 32) | class tvmet_interface{
    method name (line 44) | static inline std::string name() { return "tiny_tvmet"; }
    method free_matrix (line 46) | static void free_matrix(gene_matrix & A, int N){}
    method free_vector (line 48) | static void free_vector(gene_vector & B){}
    method matrix_from_stl (line 50) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 56) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 61) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 67) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_matrix (line 77) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method copy_vector (line 81) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method matrix_matrix_product (line 85) | static inline void matrix_matrix_product(const gene_matrix & A, const ...
    method matrix_vector_product (line 89) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 93) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method axpy (line 97) | static inline void axpy(const real coef, const gene_vector & X, gene_v...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/ublas/main.cpp
  function main (line 27) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/btl/libs/ublas/ublas_interface.hh
  class ublas_interface (line 31) | class ublas_interface{
    method name (line 43) | static inline std::string name( void ) { return "ublas"; }
    method free_matrix (line 45) | static void free_matrix(gene_matrix & A, int N) {}
    method free_vector (line 47) | static void free_vector(gene_vector & B) {}
    method matrix_from_stl (line 49) | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
    method vector_from_stl (line 56) | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
    method vector_to_stl (line 62) | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    method matrix_to_stl (line 67) | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
    method copy_vector (line 77) | static inline void copy_vector(const gene_vector & source, gene_vector...
    method copy_matrix (line 83) | static inline void copy_matrix(const gene_matrix & source, gene_matrix...
    method matrix_vector_product_slow (line 91) | static inline void matrix_vector_product_slow(gene_matrix & A, gene_ve...
    method matrix_matrix_product_slow (line 95) | static inline void matrix_matrix_product_slow(gene_matrix & A, gene_ma...
    method axpy_slow (line 99) | static inline void axpy_slow(const real coef, const gene_vector & X, g...
    method matrix_vector_product (line 105) | static inline void matrix_vector_product(gene_matrix & A, gene_vector ...
    method atv_product (line 109) | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_...
    method matrix_matrix_product (line 113) | static inline void matrix_matrix_product(gene_matrix & A, gene_matrix ...
    method axpy (line 117) | static inline void axpy(const real coef, const gene_vector & X, gene_v...
    method axpby (line 121) | static inline void axpby(real a, const gene_vector & X, real b, gene_v...
    method ata_product (line 125) | static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
    method aat_product (line 130) | static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
    method trisolve_lower (line 135) | static inline void trisolve_lower(const gene_matrix & L, const gene_ve...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/check_cache_queries.cpp
  function main (line 18) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/dense_solvers.cpp
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 24) | EIGEN_DONT_INLINE
  function bench (line 30) | void bench(int id, int rows, int size = Size)
  function main (line 87) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/eig33.cpp
  function computeRoots (line 49) | inline void computeRoots(const Matrix& m, Roots& roots)
  function eigen33 (line 86) | void eigen33(const Matrix& mat, Matrix& evecs, Vector& evals)
  function main (line 165) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/geometry.cpp
  function EIGEN_DONT_INLINE (line 25) | EIGEN_DONT_INLINE void transform(const Transformation& t, Data& data)
  function EIGEN_DONT_INLINE (line 33) | EIGEN_DONT_INLINE void transform(const Quaternion<Scalar>& t, Data& data)
  type ToRotationMatrixWrapper (line 41) | struct ToRotationMatrixWrapper
    method ToRotationMatrixWrapper (line 45) | ToRotationMatrixWrapper(const T& o) : object(o) {}
  function EIGEN_DONT_INLINE (line 50) | EIGEN_DONT_INLINE void transform(const ToRotationMatrixWrapper<QType>& t...
  function EIGEN_DONT_INLINE (line 58) | EIGEN_DONT_INLINE void transform(const Transform<Scalar,Dim,Projective>&...
  type get_dim (line 63) | struct get_dim { enum { Dim = T::Dim }; }
  type get_dim<Matrix<S,R,C,O,MR,MC> > (line 65) | struct get_dim<Matrix<S,R,C,O,MR,MC> > { enum { Dim = R }; }
  type bench_impl (line 68) | struct bench_impl
    method EIGEN_DONT_INLINE (line 70) | static EIGEN_DONT_INLINE void run(const Transformation& t)
  type bench_impl<Transformation,0> (line 84) | struct bench_impl<Transformation,0>
    method EIGEN_DONT_INLINE (line 86) | static EIGEN_DONT_INLINE void run(const Transformation&) {}
  function EIGEN_DONT_INLINE (line 90) | EIGEN_DONT_INLINE void bench(const std::string& msg, const Transformatio...
  function main (line 97) | int main(int argc, char ** argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/gemm.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/gemm_common.h
  type SCALAR (line 13) | typedef SCALAR Scalar;
  type Matrix (line 15) | typedef Matrix<Scalar,Dynamic,Dynamic> Mat;

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/gemv.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/gemv_common.h
  type SCALAR (line 14) | typedef SCALAR Scalar;
  type Matrix (line 16) | typedef Matrix<Scalar,Dynamic,Dynamic> Mat;
  type Matrix (line 17) | typedef Matrix<Scalar,Dynamic,1>       Vec;

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/gemvt.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/lazy_gemm.cpp
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 25) | EIGEN_DONT_INLINE
  function bench_t (line 54) | double bench_t(int t)
  function EIGEN_DONT_INLINE (line 62) | EIGEN_DONT_INLINE
  function main (line 83) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/llt.cpp
  function EIGEN_DONT_INLINE (line 4) | EIGEN_DONT_INLINE
  function main (line 12) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/resources/s1.js
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  function b (line 1) | function b(g){return t.reset(),g.each(function(b){var g=d3.select(this);...
  function b (line 1) | function b(l){return E.reset(),l.each(function(b){var l=j-i.left-i.right...
  function b (line 1) | function b(k){return t.reset(),t.models(e),l&&t.models(f),m&&t.models(g)...
  function b (line 1) | function b(a,b){var c=a.slice();a.sort(function(a,d){var e=c.indexOf(a),...
  function c (line 1) | function c(e){return e.each(function(c,e){var s=p-d.left-d.right,x=q-d.t...
  function b (line 1) | function b(d){return d.each(function(e,o){var p=d3.select(this);a.utils....
  function b (line 1) | function b(x){return x.each(function(b){c=d3.select(this);var x=a.utils....
  function b (line 1) | function b(l){return H.reset(),H.models(f),r&&H.models(g),s&&H.models(h)...
  function c (line 1) | function c(a,b){return K||(K=f.y()),b.map(function(b,c){if(!b.values)ret...
  function b (line 1) | function b(m){return y.reset(),m.each(function(b){var m=k-j.left-j.right...
  function b (line 1) | function b(i){return x.reset(),x.models(e),o&&x.models(f),p&&x.models(g)...
  function b (line 1) | function b(k){return m.reset(),k.each(function(b){var k=(e-("x"===g?d.le...
  function c (line 1) | function c(t){return s.reset(),s.models(b),m&&s.models(f),n&&s.models(g)...
  function b (line 1) | function b(g){return u.reset(),g.each(function(g){f=d3.select(this),a.ut...
  function b (line 1) | function b(r){function s(a,b){return"furious"!=q?"#000":o?a.disengaged?h...
  function b (line 1) | function b(x){return x.each(function(b){w.reset(),k=d3.select(this);var ...
  function c (line 1) | function c(b){return b.each(function(k){z.reset(),z.models(f),q&&z.model...
  function b (line 1) | function b(r){function s(a,b){return"furious"!=q?"#000":o?a.disengaged?"...
  function b (line 1) | function b(r){return v.reset(),v.models(e),r.each(function(b){i=d3.selec...
  function b (line 1) | function b(j){return B.reset(),B.models(e),r&&B.models(f),s&&B.models(g)...
  function b (line 1) | function b(v){return v.each(function(v){function J(a){var b=+("e"==a),c=...
  function b (line 1) | function b(F){return D.reset(),F.each(function(b){var F=k-j.left-j.right...
  function b (line 1) | function b(B){return G.reset(),G.models(e),s&&G.models(f),t&&G.models(g)...
  function b (line 1) | function b(m){return F.reset(),m.each(function(b){var m=k-j.left-j.right...
  function b (line 1) | function b(j){return C.reset(),C.models(e),r&&C.models(f),s&&C.models(g)...
  function b (line 1) | function b(j){return j.each(function(j){function n(a){var b=2===j[a.seri...
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  function b (line 1) | function b(B){return A.reset(),B.each(function(b){function A(a){return x...
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  function c (line 1) | function c(a){var b=Math.max(0,Math.min(2*Math.PI,F(a.x))),c=Math.max(0,...
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  function b (line 1) | function b(d){return n.reset(),n.models(c),d.each(function(d){var h=d3.s...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/trmv_lo.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/trmv_lot.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/trmv_up.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/perf_monitoring/trmv_upt.cpp
  function EIGEN_DONT_INLINE (line 3) | EIGEN_DONT_INLINE
  function main (line 9) | int main(int argc, char **argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/product_threshold.cpp
  type map_size (line 11) | struct map_size { enum { ret = S }; }
  type map_size<10> (line 12) | struct map_size<10> { enum { ret = 20 }; }
  type map_size<11> (line 13) | struct map_size<11> { enum { ret = 50 }; }
  type map_size<12> (line 14) | struct map_size<12> { enum { ret = 100 }; }
  type map_size<13> (line 15) | struct map_size<13> { enum { ret = 300 }; }
  type alt_prod (line 17) | struct alt_prod
  function print_mode (line 28) | void print_mode(int mode)
  function EIGEN_DONT_INLINE (line 39) | EIGEN_DONT_INLINE void prod(const Lhs& a, const Rhs& b, Res& c)
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE void bench_prod()
  type print_n (line 69) | struct print_n
    method run (line 129) | static void run()
  type loop_on_m (line 70) | struct loop_on_m
    method run (line 96) | static void run()
  type loop_on_n (line 71) | struct loop_on_n
    method run (line 116) | static void run()
  type loop_on_k (line 74) | struct loop_on_k
    method run (line 76) | static void run()
  type loop_on_k<M,N,END> (line 90) | struct loop_on_k<M,N,END> { static void run(){} }
    method run (line 90) | static void run(){}
  type loop_on_m (line 94) | struct loop_on_m
    method run (line 96) | static void run()
  type loop_on_m<END,N,K> (line 111) | struct loop_on_m<END,N,K> { static void run(){} }
    method run (line 111) | static void run(){}
  type loop_on_n (line 114) | struct loop_on_n
    method run (line 116) | static void run()
  type loop_on_n<M,END,K,Scalar,Mode> (line 125) | struct loop_on_n<M,END,K,Scalar,Mode> { static void run(){} }
    method run (line 125) | static void run(){}
  type print_n (line 127) | struct print_n
    method run (line 129) | static void run()
  type print_n<END> (line 136) | struct print_n<END> { static void run(){} }
    method run (line 136) | static void run(){}
  function main (line 138) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/quat_slerp.cpp
  function EIGEN_DONT_INLINE (line 11) | EIGEN_DONT_INLINE Q nlerp(const Q& a, const Q& b, typename Q::Scalar t)
  function EIGEN_DONT_INLINE (line 17) | EIGEN_DONT_INLINE Q slerp_eigen(const Q& a, const Q& b, typename Q::Scal...
  function EIGEN_DONT_INLINE (line 23) | EIGEN_DONT_INLINE Q slerp_legacy(const Q& a, const Q& b, typename Q::Sca...
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE Q slerp_legacy_nlerp(const Q& a, const Q& b, typename ...
  function T (line 76) | inline T sin_over_x(T x)
  function EIGEN_DONT_INLINE (line 85) | EIGEN_DONT_INLINE Q slerp_rw(const Q& a, const Q& b, typename Q::Scalar t)
  function EIGEN_DONT_INLINE (line 109) | EIGEN_DONT_INLINE Q slerp_gael(const Q& a, const Q& b, typename Q::Scala...
  function main (line 144) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/quatmul.cpp
  function EIGEN_DONT_INLINE (line 9) | EIGEN_DONT_INLINE void quatmul_default(const Quat& a, const Quat& b, Qua...
  function EIGEN_DONT_INLINE (line 15) | EIGEN_DONT_INLINE void quatmul_novec(const Quat& a, const Quat& b, Quat& c)
  function bench (line 20) | void bench(const std::string& label)
  function main (line 39) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/sparse_cholesky.cpp
  function fillSpdMatrix (line 44) | void fillSpdMatrix(float density, int rows, int cols,  EigenSparseSelfAd...
  function doEigen (line 64) | void doEigen(const char* name, const EigenSparseSelfAdjointMatrix& sm1, ...
  function main (line 77) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/sparse_dense_product.cpp
  function cs (line 38) | cs* cs_sorted_multiply(const cs* a, const cs* b)
  function main (line 52) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/sparse_lu.cpp
  function doEigen (line 46) | void doEigen(const char* name, const EigenSparseMatrix& sm1, const Vecto...
  function main (line 72) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/sparse_product.cpp
  function cs (line 64) | cs* cs_sorted_multiply(const cs* a, const cs* b)
  function cs (line 83) | cs* cs_sorted_multiply2(const cs* a, const cs* b)
  function main (line 96) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/sparse_randomsetter.cpp
  function dostuff (line 46) | void dostuff(const char* name, EigenSparseMatrix& sm1)
  function main (line 66) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/sparse_setter.cpp
  function main (line 61) | int main(int argc, char *argv[])
  function EIGEN_DONT_INLINE (line 194) | EIGEN_DONT_INLINE Scalar* setinnerrand_eigen(const Coordinates& coords, ...
  function EIGEN_DONT_INLINE (line 208) | EIGEN_DONT_INLINE Scalar* setrand_eigen_dynamic(const Coordinates& coord...
  function EIGEN_DONT_INLINE (line 222) | EIGEN_DONT_INLINE Scalar* setrand_eigen_sumeq(const Coordinates& coords,...
  function EIGEN_DONT_INLINE (line 241) | EIGEN_DONT_INLINE Scalar* setrand_eigen_compact(const Coordinates& coord...
  function EIGEN_DONT_INLINE (line 255) | EIGEN_DONT_INLINE Scalar* setrand_eigen_gnu_hash(const Coordinates& coor...
  function EIGEN_DONT_INLINE (line 271) | EIGEN_DONT_INLINE Scalar* setrand_eigen_google_dense(const Coordinates& ...
  function EIGEN_DONT_INLINE (line 284) | EIGEN_DONT_INLINE Scalar* setrand_eigen_google_sparse(const Coordinates&...
  function coo_tocsr (line 300) | void coo_tocsr(const int n_row,
  function kv_pair_less (line 345) | bool kv_pair_less(const std::pair<T1,T2>& x, const std::pair<T1,T2>& y){
  function csr_sort_indices (line 351) | void csr_sort_indices(const I n_row,
  function csr_sum_duplicates (line 378) | void csr_sum_duplicates(const I n_row,
  function EIGEN_DONT_INLINE (line 405) | EIGEN_DONT_INLINE Scalar* setrand_scipy(const Coordinates& coords, const...
  function EIGEN_DONT_INLINE (line 425) | EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords...
  function EIGEN_DONT_INLINE (line 464) | EIGEN_DONT_INLINE Scalar* setrand_ublas_genvec(const Coordinates& coords...

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/sparse_trisolver.cpp
  function fillMatrix (line 40) | void fillMatrix(float density, int rows, int cols,  EigenSparseTriMatrix...
  function main (line 56) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/spbench/sp_solver.cpp
  function main (line 20) | int main(int argc, char **args)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/spbench/spbenchsolver.cpp
  function bench_printhelp (line 3) | void bench_printhelp()
  function main (line 22) | int main(int argc, char ** args)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/spbench/spbenchsolver.h
  function printStatheader (line 96) | void printStatheader(std::ofstream& out)
  type SparseMatrix (line 318) | typedef SparseMatrix<Scalar, ColMajor> SpMat;

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/spbench/spbenchstyle.h
  function printBenchStyle (line 13) | void printBenchStyle(std::ofstream& out)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/spbench/test_sparseLU.cpp
  function main (line 17) | int main(int argc, char **args)

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/spmv.cpp
  function main (line 37) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/tensors/benchmark.h
  function namespace (line 20) | namespace testing {

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/tensors/benchmark_main.cc
  function BenchmarkMap (line 32) | BenchmarkMap& gBenchmarks() {
  function Round (line 39) | static int Round(int n) {
  function init_info (line 56) | static void __attribute__((constructor)) init_info() {
  function NanoTime (line 61) | static int64_t NanoTime() {
  type testing (line 73) | namespace testing {
    function Benchmark (line 74) | Benchmark* Benchmark::Arg(int arg) {
    function Benchmark (line 79) | Benchmark* Benchmark::Range(int lo, int hi) {
  function SetBenchmarkFlopsProcessed (line 193) | void SetBenchmarkFlopsProcessed(int64_t x) {
  function StopBenchmarkTiming (line 196) | void StopBenchmarkTiming() {
  function StartBenchmarkTiming (line 202) | void StartBenchmarkTiming() {
  function main (line 207) | int main(int argc, char* argv[]) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/tensors/tensor_benchmarks.h
  type TensorIndex (line 4) | typedef int TensorIndex;
  function memcpy (line 41) | void memcpy(int num_iters) {
  function typeCasting (line 56) | void typeCasting(int num_iters) {
  function random (line 81) | void random(int num_iters) {
  function slicing (line 100) | void slicing(int num_iters) {
  function rowChip (line 142) | void rowChip(int num_iters) {
  function colChip (line 163) | void colChip(int num_iters) {
  function shuffling (line 184) | void shuffling(int num_iters) {
  function padding (line 211) | void padding(int num_iters) {
  function striding (line 243) | void striding(int num_iters) {
  function broadcasting (line 278) | void broadcasting(int num_iters) {
  function coeffWiseOp (line 312) | void coeffWiseOp(int num_iters) {
  function algebraicFunc (line 334) | void algebraicFunc(int num_iters) {
  function transcendentalFunc (line 357) | void transcendentalFunc(int num_iters) {
  function rowReduction (line 380) | void rowReduction(int num_iters) {
  function colReduction (line 412) | void colReduction(int num_iters) {
  function fullReduction (line 446) | void fullReduction(int num_iters) {
  function contraction (line 472) | void contraction(int num_iters) {
  function contractionRowMajor (line 476) | void contractionRowMajor(int num_iters) {
  function contractionRowMajorAT (line 480) | void contractionRowMajorAT(int num_iters) {
  function contractionRowMajorBT (line 484) | void contractionRowMajorBT(int num_iters) {
  function contractionRowMajorABT (line 488) | void contractionRowMajorABT(int num_iters) {
  function convolution (line 492) | void convolution(int num_iters, int kernel_x, int kernel_y) {
  type typename (line 541) | typedef typename Tensor<T, 2, Layout>::DimensionPair DimPair;
  function initialize (line 560) | void initialize() {
  function finalizeBenchmark (line 573) | inline void finalizeBenchmark(int64_t num_items) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/tensors/tensor_contract_sycl_bench.cc
  function get_time (line 32) | std::chrono::time_point<std::chrono::system_clock> get_time(){
  function finalizeBenchmark (line 38) | void finalizeBenchmark(Start start, End end, TensorIndex m_, TensorIndex...
  function contraction (line 49) | void contraction(const Device& device_, TensorIndex num_iters, TensorInd...
  function contractionRowMajor (line 103) | void contractionRowMajor(const Device& device_, TensorIndex num_iters, T...
  function contractionAT (line 155) | void contractionAT(const Device& device_, TensorIndex num_iters, TensorI...
  function contractionBT (line 206) | void contractionBT(const Device& device_, TensorIndex num_iters, TensorI...
  function contractionABT (line 258) | void contractionABT(const Device& device_, TensorIndex num_iters, Tensor...
  function main (line 308) | int main() {

FILE: extensions/ngp_raymarch/include/op_include/eigen/bench/vdw_new.cpp
  function SCALAR (line 22) | SCALAR E_VDW(const Vec &interactions1, const Vec &interactions2)
  function main (line 31) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/BandTriangularSolver.h
  type Map (line 26) | typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/GeneralRank1Update.h
  function namespace (line 13) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/PackedSelfadjointProduct.h
  function namespace (line 13) | namespace internal {
  function run (line 45) | static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar a...

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/PackedTriangularMatrixVector.h
  function namespace (line 13) | namespace internal {
  function run (line 56) | static void run(Index size, const LhsScalar* lhs, const RhsScalar* rhs, ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/PackedTriangularSolverVector.h
  function namespace (line 13) | namespace internal {
  function run (line 53) | static void run(Index size, const LhsScalar* lhs, RhsScalar* rhs)

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/Rank2Update.h
  function namespace (line 13) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/common.h
  function check_op (line 65) | inline bool check_op(const char* op)
  function check_side (line 70) | inline bool check_side(const char* side)
  function check_uplo (line 75) | inline bool check_uplo(const char* uplo)
  function namespace (line 81) | namespace Eigen {
  type SCALAR (line 92) | typedef SCALAR Scalar;
  type NumTraits (line 93) | typedef NumTraits<Scalar>::Real RealScalar;
  type std (line 94) | typedef std::complex<RealScalar> Complex;
  type Matrix (line 102) | typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> PlainMatrixType;
  type Map (line 103) | typedef Map<Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > ...
  type Map (line 104) | typedef Map<const Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStrid...
  type Map (line 105) | typedef Map<Matrix<Scalar,Dynamic,1>, 0, InnerStride<Dynamic> > StridedV...
  type Map (line 106) | typedef Map<Matrix<Scalar,Dynamic,1> > CompactVectorType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/chbmv.c
  function chbmv_ (line 15) | int chbmv_(char *uplo, integer *n, integer *k, complex *

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/chpmv.c
  function chpmv_ (line 15) | int chpmv_(char *uplo, integer *n, complex *alpha, complex *

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/complexdots.c
  function complex (line 21) | complex cdotc_(integer *n, complex *cx, integer
  function complex (line 37) | complex cdotu_(integer *n, complex *cx, integer
  function doublecomplex (line 53) | doublecomplex zdotc_(integer *n, doublecomplex *cx, integer *incx,
  function doublecomplex (line 69) | doublecomplex zdotu_(integer *n, doublecomplex *cx, integer *incx,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/ctbmv.c
  function ctbmv_ (line 15) | int ctbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/d_cnjg.c
  function d_cnjg (line 3) | void d_cnjg(doublecomplex *r, doublecomplex *z) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/datatypes.h
  type integer (line 8) | typedef int integer;
  type uinteger (line 9) | typedef unsigned int uinteger;
  type real (line 10) | typedef float real;
  type doublereal (line 11) | typedef double doublereal;
  type complex (line 12) | typedef struct { real r, i; } complex;
  type doublecomplex (line 13) | typedef struct { doublereal r, i; } doublecomplex;
  type ftnlen (line 14) | typedef int ftnlen;
  type logical (line 15) | typedef int logical;

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/drotm.c
  function drotm_ (line 15) | int drotm_(integer *n, doublereal *dx, integer *incx,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/drotmg.c
  function drotmg_ (line 15) | int drotmg_(doublereal *dd1, doublereal *dd2, doublereal *

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/dsbmv.c
  function dsbmv_ (line 15) | int dsbmv_(char *uplo, integer *n, integer *k, doublereal *

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/dspmv.c
  function dspmv_ (line 15) | int dspmv_(char *uplo, integer *n, doublereal *alpha,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/dtbmv.c
  function dtbmv_ (line 15) | int dtbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/lsame.c
  function logical (line 15) | logical lsame_(char *ca, char *cb, ftnlen ca_len, ftnlen cb_len)

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/r_cnjg.c
  function r_cnjg (line 3) | void r_cnjg(complex *r, complex *z) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/srotm.c
  function srotm_ (line 15) | int srotm_(integer *n, real *sx, integer *incx, real *sy,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/srotmg.c
  function srotmg_ (line 15) | int srotmg_(real *sd1, real *sd2, real *sx1, real *sy1, real

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/ssbmv.c
  function ssbmv_ (line 15) | int ssbmv_(char *uplo, integer *n, integer *k, real *alpha,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/sspmv.c
  function sspmv_ (line 15) | int sspmv_(char *uplo, integer *n, real *alpha, real *ap,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/stbmv.c
  function stbmv_ (line 15) | int stbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/zhbmv.c
  function zhbmv_ (line 15) | int zhbmv_(char *uplo, integer *n, integer *k, doublecomplex

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/zhpmv.c
  function zhpmv_ (line 15) | int zhpmv_(char *uplo, integer *n, doublecomplex *alpha,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/f2c/ztbmv.c
  function ztbmv_ (line 15) | int ztbmv_(char *uplo, char *trans, char *diag, integer *n,

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/level1_cplx_impl.h
  type scalar_norm1_op (line 12) | struct scalar_norm1_op {
  function namespace (line 17) | namespace Eigen {
  function RealScalar (line 28) | RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC(asum))(int *n, ...
  function RealScalar (line 106) | RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC(nrm2))(int *n, ...

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/level1_real_impl.h
  function RealScalar (line 14) | RealScalar EIGEN_BLAS_FUNC(asum)(int *n, RealScalar *px, int *incx)
  function Scalar (line 49) | Scalar EIGEN_BLAS_FUNC(dot)(int *n, RealScalar *px, int *incx, RealScala...
  function Scalar (line 68) | Scalar EIGEN_BLAS_FUNC(nrm2)(int *n, RealScalar *px, int *incx)

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/level2_impl.h
  type general_matrix_vector_product_wrapper (line 13) | struct general_matrix_vector_product_wrapper
  function ConstMatrixType (line 257) | ConstMatrixType mat_coeffs(a,coeff_rows,*n,*lda);
  function MatrixType (line 312) | MatrixType mat_coeffs(a,coeff_rows,*n,*lda);

FILE: extensions/ngp_raymarch/include/op_include/eigen/blas/xerbla.cpp
  function EIGEN_WEAK_LINKING (line 15) | EIGEN_WEAK_LINKING int xerbla_(const char * msg, int *info, int)

FILE: extensions/ngp_raymarch/include/op_include/eigen/debug/gdb/printers.py
  class _MatrixEntryIterator (line 35) | class _MatrixEntryIterator(object):
    method __init__ (line 36) | def __init__(self, rows, cols, row_major):
    method __iter__ (line 43) | def __iter__(self):
    method next (line 46) | def next(self):
    method __next__ (line 49) | def __next__(self):
  class EigenMatrixPrinter (line 72) | class EigenMatrixPrinter:
    method __init__ (line 74) | def __init__(self, variety, val):
    class _Iterator (line 121) | class _Iterator(_MatrixEntryIterator):
      method __init__ (line 122) | def __init__(self, rows, cols, data_ptr, row_major):
      method __next__ (line 128) | def __next__(self):
    method children (line 139) | def children(self):
    method to_string (line 143) | def to_string(self):
  class EigenSparseMatrixPrinter (line 149) | class EigenSparseMatrixPrinter:
    method __init__ (line 151) | def __init__(self, val):
    class _Iterator (line 177) | class _Iterator(_MatrixEntryIterator):
      method __init__ (line 178) | def __init__(self, rows, cols, val, row_major):
      method __next__ (line 184) | def __next__(self):
    method children (line 218) | def children(self):
    method rows (line 225) | def rows(self):
    method cols (line 229) | def cols(self):
    method to_string (line 233) | def to_string(self):
  class EigenQuaternionPrinter (line 247) | class EigenQuaternionPrinter:
    method __init__ (line 249) | def __init__(self, val):
    class _Iterator (line 263) | class _Iterator:
      method __init__ (line 264) | def __init__(self, data_ptr):
      method __iter__ (line 269) | def __iter__(self):
      method next (line 272) | def next(self):
      method __next__ (line 275) | def __next__(self):
    method children (line 287) | def children(self):
    method to_string (line 291) | def to_string(self):
  function cast_eigen_block_to_matrix (line 296) | def cast_eigen_block_to_matrix(val):
  function build_eigen_dictionary (line 310) | def build_eigen_dictionary():
  function register_eigen_printers (line 327) | def register_eigen_printers(obj):
  function lookup_function (line 335) | def lookup_function(val):

FILE: extensions/ngp_raymarch/include/op_include/eigen/debug/lldb/eigenlldb.py
  function __lldb_init_module (line 25) | def __lldb_init_module(debugger, internal_dict):
  class EigenMatrixChildProvider (line 34) | class EigenMatrixChildProvider:
    method __init__ (line 43) | def __init__(self, valobj, internal_dict):
    method num_children (line 73) | def num_children(self):
    method get_child_index (line 76) | def get_child_index(self, name):
    method get_child_at_index (line 79) | def get_child_at_index(self, index):
    method _cols (line 100) | def _cols(self):
    method _rows (line 108) | def _rows(self):
  class EigenSparseMatrixChildProvider (line 117) | class EigenSparseMatrixChildProvider:
    method __init__ (line 136) | def __init__(self, valobj, internal_dict):
    method num_children (line 162) | def num_children(self):
    method get_child_index (line 165) | def get_child_index(self, name):
    method get_child_at_index (line 168) | def get_child_at_index(self, index):
    method update (line 203) | def update(self):
    method _child_name (line 233) | def _child_name(self, outer_index, inner_index):

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/mandelbrot/mandelbrot.cpp
  type iters_before_test (line 28) | struct iters_before_test { enum { ret = 8 }; }
  type iters_before_test<double> (line 29) | struct iters_before_test<double> { enum { ret = 16 }; }
  function main (line 205) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/mandelbrot/mandelbrot.h
  function class (line 20) | class MandelbrotThread : public QThread
  function class (line 34) | class MandelbrotWidget : public QWidget

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/mix_eigen_and_c/binary_library.cpp
  function MatrixXd (line 23) | inline MatrixXd& c_to_eigen(C_MatrixXd* ptr)
  function MatrixXd (line 28) | inline const MatrixXd& c_to_eigen(const C_MatrixXd* ptr)
  function C_MatrixXd (line 33) | inline C_MatrixXd* eigen_to_c(MatrixXd& ref)
  function C_MatrixXd (line 38) | inline const C_MatrixXd* eigen_to_c(const MatrixXd& ref)
  function C_Map_MatrixXd (line 55) | inline C_Map_MatrixXd* eigen_to_c(Map<MatrixXd>& ref)
  function C_Map_MatrixXd (line 60) | inline const C_Map_MatrixXd* eigen_to_c(const Map<MatrixXd>& ref)
  function C_MatrixXd (line 72) | C_MatrixXd* MatrixXd_new(int rows, int cols)
  function MatrixXd_delete (line 77) | void MatrixXd_delete(C_MatrixXd *m)
  function MatrixXd_set_zero (line 87) | void MatrixXd_set_zero(C_MatrixXd *m)
  function MatrixXd_resize (line 92) | void MatrixXd_resize(C_MatrixXd *m, int rows, int cols)
  function MatrixXd_copy (line 97) | void MatrixXd_copy(C_MatrixXd *dst, const C_MatrixXd *src)
  function MatrixXd_copy_map (line 102) | void MatrixXd_copy_map(C_MatrixXd *dst, const C_Map_MatrixXd *src)
  function MatrixXd_set_coeff (line 107) | void MatrixXd_set_coeff(C_MatrixXd *m, int i, int j, double coeff)
  function MatrixXd_get_coeff (line 112) | double MatrixXd_get_coeff(const C_MatrixXd *m, int i, int j)
  function MatrixXd_print (line 117) | void MatrixXd_print(const C_MatrixXd *m)
  function MatrixXd_multiply (line 122) | void MatrixXd_multiply(const C_MatrixXd *m1, const C_MatrixXd *m2, C_Mat...
  function MatrixXd_add (line 127) | void MatrixXd_add(const C_MatrixXd *m1, const C_MatrixXd *m2, C_MatrixXd...
  function C_Map_MatrixXd (line 137) | C_Map_MatrixXd* Map_MatrixXd_new(double *array, int rows, int cols)
  function Map_MatrixXd_delete (line 142) | void Map_MatrixXd_delete(C_Map_MatrixXd *m)
  function Map_MatrixXd_set_zero (line 147) | void Map_MatrixXd_set_zero(C_Map_MatrixXd *m)
  function Map_MatrixXd_copy (line 152) | void Map_MatrixXd_copy(C_Map_MatrixXd *dst, const C_Map_MatrixXd *src)
  function Map_MatrixXd_copy_matrix (line 157) | void Map_MatrixXd_copy_matrix(C_Map_MatrixXd *dst, const C_MatrixXd *src)
  function Map_MatrixXd_set_coeff (line 162) | void Map_MatrixXd_set_coeff(C_Map_MatrixXd *m, int i, int j, double coeff)
  function Map_MatrixXd_get_coeff (line 167) | double Map_MatrixXd_get_coeff(const C_Map_MatrixXd *m, int i, int j)
  function Map_MatrixXd_print (line 172) | void Map_MatrixXd_print(const C_Map_MatrixXd *m)
  function Map_MatrixXd_multiply (line 177) | void Map_MatrixXd_multiply(const C_Map_MatrixXd *m1, const C_Map_MatrixX...
  function Map_MatrixXd_add (line 182) | void Map_MatrixXd_add(const C_Map_MatrixXd *m1, const C_Map_MatrixXd *m2...

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/mix_eigen_and_c/binary_library.h
  type C_MatrixXd (line 22) | struct C_MatrixXd {}
  type C_Map_MatrixXd (line 23) | struct C_Map_MatrixXd {}
  type C_MatrixXd (line 27) | struct C_MatrixXd
  type C_MatrixXd (line 28) | struct C_MatrixXd
  type C_MatrixXd (line 29) | struct C_MatrixXd
  type C_MatrixXd (line 30) | struct C_MatrixXd
  type C_MatrixXd (line 31) | struct C_MatrixXd
  type C_MatrixXd (line 32) | struct C_MatrixXd
  type C_MatrixXd (line 33) | struct C_MatrixXd
  type C_MatrixXd (line 34) | struct C_MatrixXd
  type C_Map_MatrixXd (line 35) | struct C_Map_MatrixXd
  type C_MatrixXd (line 36) | struct C_MatrixXd
  type C_MatrixXd (line 38) | struct C_MatrixXd
  type C_MatrixXd (line 40) | struct C_MatrixXd
  type C_MatrixXd (line 41) | struct C_MatrixXd
  type C_MatrixXd (line 42) | struct C_MatrixXd
  type C_MatrixXd (line 43) | struct C_MatrixXd
  type C_MatrixXd (line 44) | struct C_MatrixXd
  type C_MatrixXd (line 45) | struct C_MatrixXd
  type C_MatrixXd (line 46) | struct C_MatrixXd
  type C_Map_MatrixXd (line 50) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 51) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 52) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 53) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 54) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 55) | struct C_Map_MatrixXd
  type C_MatrixXd (line 56) | struct C_MatrixXd
  type C_Map_MatrixXd (line 57) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 59) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 61) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 62) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 63) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 64) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 65) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 66) | struct C_Map_MatrixXd
  type C_Map_MatrixXd (line 67) | struct C_Map_MatrixXd

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/mix_eigen_and_c/example.c
  function demo_MatrixXd (line 13) | void demo_MatrixXd()
  function print_array (line 35) | void print_array(double *array, int n)
  function demo_Map_MatrixXd (line 42) | void demo_Map_MatrixXd()
  function main (line 61) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/opengl/camera.cpp
  function Camera (line 34) | Camera& Camera::operator=(const Camera& other)
  function Vector3f (line 89) | Vector3f Camera::direction(void) const
  function Vector3f (line 93) | Vector3f Camera::up(void) const
  function Vector3f (line 97) | Vector3f Camera::right(void) const
  function Affine3f (line 205) | const Affine3f& Camera::viewMatrix(void) const
  function Matrix4f (line 232) | const Matrix4f& Camera::projectionMatrix(void) const
  function Vector3f (line 246) | Vector3f Camera::unProject(const Vector2f& uv, float depth) const
  function Vector3f (line 252) | Vector3f Camera::unProject(const Vector2f& uv, float depth, const Matrix...

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/opengl/camera.h
  function class (line 17) | class Frame
  function class (line 36) | class Camera

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/opengl/gpuhelper.h
  type Vector4f (line 19) | typedef Vector4f Color;
  function class (line 21) | class GpuHelper
  function loadMatrix (line 120) | static void loadMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function loadMatrix (line 121) | static void loadMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glL...
  function multMatrix (line 122) | static void multMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function multMatrix (line 123) | static void multMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glM...
  function loadMatrix (line 128) | static void loadMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function loadMatrix (line 129) | static void loadMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glL...
  function multMatrix (line 130) | static void multMatrix(const Matrix<float, 4,4, Flags_, 4,4>&  mat) { gl...
  function multMatrix (line 131) | static void multMatrix(const Matrix<double,4,4, Flags_, 4,4>& mat) { glM...
  function setMatrixTarget (line 134) | inline void GpuHelper::setMatrixTarget(GLenum matrixTarget)
  function pushMatrix (line 163) | inline void GpuHelper::pushMatrix(GLenum matrixTarget)
  function popMatrix (line 185) | inline void GpuHelper::popMatrix(GLenum matrixTarget)
  function draw (line 191) | inline void GpuHelper::draw(GLenum mode, uint nofElement)
  function draw (line 197) | inline void GpuHelper::draw(GLenum mode, const std::vector<uint>* pIndexes)
  function draw (line 202) | inline void GpuHelper::draw(GLenum mode, uint start, uint end)

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/opengl/icosphere.h
  function class (line 16) | class IcoSphere

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/opengl/quaternion_demo.cpp
  class FancySpheres (line 30) | class FancySpheres
    method EIGEN_MAKE_ALIGNED_OPERATOR_NEW (line 33) | EIGEN_MAKE_ALIGNED_OPERATOR_NEW
    method draw (line 95) | void draw()
  function T (line 117) | T lerp(float t, const T& a, const T& b)
  function Quaternionf (line 123) | Quaternionf lerp(float t, const Quaternionf& a, const Quaternionf& b)
  function Frame (line 129) | inline static Frame lerpFrame(float alpha, const Frame& a, const Frame& b)
  class EulerAngles (line 135) | class EulerAngles
    method EulerAngles (line 150) | EulerAngles() {}
    method EulerAngles (line 151) | inline EulerAngles(Scalar a0, Scalar a1, Scalar a2) : m_angles(a0, a1,...
    method EulerAngles (line 152) | inline EulerAngles(const QuaternionType& q) { *this = q; }
    method Vector3 (line 154) | const Vector3& coeffs() const { return m_angles; }
    method Vector3 (line 155) | Vector3& coeffs() { return m_angles; }
    method EulerAngles (line 157) | EulerAngles& operator=(const QuaternionType& q)
    method EulerAngles (line 163) | EulerAngles& operator=(const Matrix3& m)
    method Matrix3 (line 174) | Matrix3 toRotationMatrix(void) const
  function lerp (line 189) | EulerAngles<float> lerp(float t, const EulerAngles<float>& a, const Eule...
  function QWidget (line 551) | QWidget* RenderingWidget::createNavigationControlWidget()
  function main (line 635) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/opengl/quaternion_demo.h
  function class (line 22) | class RenderingWidget : public QGLWidget
  function class (line 105) | class QuaternionDemo : public QMainWindow

FILE: extensions/ngp_raymarch/include/op_include/eigen/demos/opengl/trackball.h
  function class (line 17) | class Trackball

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/eigen_navtree_hacks.js
  function generate_autotoc (line 3) | function generate_autotoc() {
  function getNode (line 54) | function getNode(o, po)
  function resizeHeight (line 66) | function resizeHeight()
  function initNavTree (line 85) | function initNavTree(toroot,relpath)
  function checkChildrenData (line 145) | function checkChildrenData(node) {
  function createIndent (line 160) | function createIndent(o,domNode,node,level)
  function selectAndHighlight (line 194) | function selectAndHighlight(hash,n)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/CustomizingEigen_Inheritance.cpp
  class MyVectorType (line 4) | class MyVectorType : public Eigen::VectorXd
    method MyVectorType (line 7) | MyVectorType(void):Eigen::VectorXd() {}
    method MyVectorType (line 11) | MyVectorType(const Eigen::MatrixBase<OtherDerived>& other)
    method MyVectorType (line 17) | MyVectorType& operator=(const Eigen::MatrixBase <OtherDerived>& other)
  function main (line 24) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Cwise_erf.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Cwise_erfc.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Cwise_lgamma.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/DenseBase_middleCols_int.cpp
  function main (line 7) | int main(void)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/DenseBase_middleRows_int.cpp
  function main (line 7) | int main(void)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/DenseBase_template_int_middleCols.cpp
  function main (line 7) | int main(void)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/DenseBase_template_int_middleRows.cpp
  function main (line 7) | int main(void)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/QuickStart_example.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/QuickStart_example2_dynamic.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/QuickStart_example2_fixed.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TemplateKeyword_flexible.cpp
  function copyUpperTriangularPart (line 7) | void copyUpperTriangularPart(MatrixBase<Derived1>& dst, const MatrixBase...
  function main (line 13) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TemplateKeyword_simple.cpp
  function copyUpperTriangularPart (line 6) | void copyUpperTriangularPart(MatrixXf& dst, const MatrixXf& src)
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialInplaceLU.cpp
  type init (line 2) | struct init {
    method init (line 3) | init() { std::cout << "[" << "init" << "]" << std::endl; }
  function main (line 13) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgComputeTwice.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgExComputeSolveError.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgExSolveColPivHouseholderQR.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgExSolveLDLT.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgInverseDeterminant.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgRankRevealing.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgSVDSolve.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgSelfAdjointEigenSolver.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/TutorialLinAlgSetThreshold.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ArrayClass_accessors.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ArrayClass_addition.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ArrayClass_cwise_other.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ArrayClass_interop.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ArrayClass_interop_matrix.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ArrayClass_mult.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_BlockOperations_block_assignment.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_BlockOperations_colrow.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_BlockOperations_corner.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_BlockOperations_print_block.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_BlockOperations_vector.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_PartialLU_solve.cpp
  function main (line 8) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_1nn.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_broadcast_simple_rowwise.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_colwise.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_maxnorm.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_bool.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_norm.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_operatornorm.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_rowwise.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_ReductionsVisitorsBroadcasting_visitors.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_simple_example_dynamic_size.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/Tutorial_simple_example_fixed_size.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_Block.cpp
  function topLeftCorner (line 7) | Eigen::Block<Derived>
  function topLeftCorner (line 14) | const Eigen::Block<const Derived>
  function main (line 20) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_CwiseBinaryOp.cpp
  type MakeComplexOp (line 7) | struct MakeComplexOp {
  function main (line 13) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_CwiseUnaryOp.cpp
  type CwiseClampOp (line 8) | struct CwiseClampOp {
    method CwiseClampOp (line 9) | CwiseClampOp(const Scalar& inf, const Scalar& sup) : m_inf(inf), m_sup...
    method Scalar (line 10) | const Scalar operator()(const Scalar& x) const { return x<m_inf ? m_in...
  function main (line 14) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_CwiseUnaryOp_ptrfun.cpp
  function ramp (line 7) | double ramp(double x)
  function main (line 15) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_FixedBlock.cpp
  function topLeft2x2Corner (line 7) | Eigen::Block<Derived, 2, 2>
  function topLeft2x2Corner (line 14) | const Eigen::Block<const Derived, 2, 2>
  function main (line 20) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_FixedReshaped.cpp
  function reshape_helper (line 7) | Eigen::Reshaped<Derived, 4, 2>
  function main (line 13) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_FixedVectorBlock.cpp
  function firstTwo (line 7) | Eigen::VectorBlock<Derived, 2>
  function firstTwo (line 14) | const Eigen::VectorBlock<const Derived, 2>
  function main (line 20) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_Reshaped.cpp
  function reshape_helper (line 7) | const Reshaped<const Derived>
  function main (line 13) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/class_VectorBlock.cpp
  function segmentFromRange (line 7) | Eigen::VectorBlock<Derived>
  function segmentFromRange (line 14) | const Eigen::VectorBlock<const Derived>
  function main (line 20) | int main(int, char**)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/function_taking_eigenbase.cpp
  function print_size (line 6) | void print_size(const EigenBase<Derived>& b)
  function main (line 12) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/function_taking_ref.cpp
  function inv_cond (line 6) | float inv_cond(const Ref<const MatrixXf>& a)
  function main (line 12) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/make_circulant2.cpp
  class circulant_functor (line 8) | class circulant_functor {
    method circulant_functor (line 11) | circulant_functor(const ArgType& arg) : m_vec(arg) {}
  type circulant_helper (line 23) | struct circulant_helper {
  function makeCirculant (line 35) | CwiseNullaryOp<circulant_functor<ArgType>, typename circulant_helper<Arg...
  function main (line 44) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/matrixfree_cg.cpp
  class MatrixReplacement (line 7) | class MatrixReplacement
    method Index (line 33) | Index rows() const { return mp_mat->rows(); }
    method Index (line 34) | Index cols() const { return mp_mat->cols(); }
    method MatrixReplacement (line 42) | MatrixReplacement() : mp_mat(0) {}
    method attachMyMatrix (line 44) | void attachMyMatrix(const SparseMatrix<double> &mat) {
    method my_matrix (line 47) | const SparseMatrix<double> my_matrix() const { return *mp_mat; }
  type Eigen (line 10) | namespace Eigen {
    type internal (line 11) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
    type internal (line 56) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
  class MatrixReplacement (line 21) | class MatrixReplacement : public Eigen::EigenBase<MatrixReplacement> {
    method Index (line 33) | Index rows() const { return mp_mat->rows(); }
    method Index (line 34) | Index cols() const { return mp_mat->cols(); }
    method MatrixReplacement (line 42) | MatrixReplacement() : mp_mat(0) {}
    method attachMyMatrix (line 44) | void attachMyMatrix(const SparseMatrix<double> &mat) {
    method my_matrix (line 47) | const SparseMatrix<double> my_matrix() const { return *mp_mat; }
  type Eigen (line 55) | namespace Eigen {
    type internal (line 11) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
    type internal (line 56) | namespace internal {
      type traits<MatrixReplacement> (line 14) | struct traits<MatrixReplacement> :  public Eigen::internal::traits<E...
      type generic_product_impl<MatrixReplacement, Rhs, SparseShape, DenseShape, GemvProduct> (line 59) | struct generic_product_impl<MatrixReplacement, Rhs, SparseShape, Den...
        method scaleAndAddTo (line 65) | static void scaleAndAddTo(Dest& dst, const MatrixReplacement& lhs,...
  function main (line 82) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/nullary_indexing.cpp
  class indexing_functor (line 8) | class indexing_functor {
    method indexing_functor (line 20) | indexing_functor(const ArgType& arg, const RowIndexType& row_indices, ...
  function mat_indexing (line 32) | CwiseNullaryOp<indexing_functor<ArgType,RowIndexType,ColIndexType>, type...
  function main (line 42) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_arithmetic_add_sub.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_arithmetic_dot_cross.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_arithmetic_matrix_mul.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_arithmetic_redux_basic.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_arithmetic_scalar_mul_div.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_matrix_coefficient_accessors.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_matrix_resize.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/examples/tut_matrix_resize_fixed_size.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/snippets/Slicing_custom_padding_cxx11.cpp
  type pad (line 1) | struct pad {
    method Index (line 2) | Index size() const { return out_size; }
    method Index (line 3) | Index operator[] (Index i) const { return std::max<Index>(0,i-(out_siz...

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/special_examples/Tutorial_sparse_example.cpp
  function main (line 11) | int main(int argc, char** argv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/special_examples/Tutorial_sparse_example_details.cpp
  function insertCoefficient (line 8) | void insertCoefficient(int id, int i, int j, double w, std::vector<T>& c...
  function buildProblem (line 19) | void buildProblem(std::vector<T>& coefficients, Eigen::VectorXd& b, int n)
  function saveAsBitmap (line 37) | void saveAsBitmap(const Eigen::VectorXd& x, int n, const char* filename)

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/special_examples/random_cpp11.cpp
  function main (line 7) | int main() {

FILE: extensions/ngp_raymarch/include/op_include/eigen/doc/tutorial.cpp
  function main (line 3) | int main(int argc, char *argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/bdcsvd_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/block_nonconst_ctor_on_const_xpr_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/block_nonconst_ctor_on_const_xpr_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/block_nonconst_ctor_on_const_xpr_2.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/block_on_const_type_actually_const_0.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/block_on_const_type_actually_const_1.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/colpivqr_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/const_qualified_block_method_retval_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/const_qualified_block_method_retval_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/const_qualified_diagonal_method_retval.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/const_qualified_transpose_method_retval.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/cwiseunaryview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/cwiseunaryview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/diagonal_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/diagonal_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/eigensolver_cplx.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/eigensolver_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/fullpivlu_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/fullpivqr_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/initializer_list_1.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/initializer_list_2.cpp
  function main (line 13) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/jacobisvd_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ldlt_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/llt_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/map_nonconst_ctor_on_const_ptr_0.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/map_nonconst_ctor_on_const_ptr_1.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex size){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/map_nonconst_ctor_on_const_ptr_2.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/map_nonconst_ctor_on_const_ptr_3.cpp
  function foo (line 11) | void foo(CV_QUALIFIER float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/map_nonconst_ctor_on_const_ptr_4.cpp
  function foo (line 11) | void foo(const float *ptr, DenseIndex rows, DenseIndex cols){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/map_on_const_type_actually_const_0.cpp
  function foo (line 11) | void foo(float *ptr){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/map_on_const_type_actually_const_1.cpp
  function foo (line 11) | void foo(float *ptr){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/partialpivlu_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/qr_int.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ref_1.cpp
  function call_ref (line 11) | void call_ref(Ref<VectorXf> a) { }
  function main (line 13) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ref_2.cpp
  function call_ref (line 5) | void call_ref(Ref<VectorXf> a) { }
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ref_3.cpp
  function call_ref (line 6) | void call_ref(Ref<VectorXf> a) { }
  function call_ref (line 8) | void call_ref(const Ref<const VectorXf> &a) { }
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ref_4.cpp
  function call_ref (line 5) | void call_ref(Ref<MatrixXf,0,OuterStride<> > a) {}
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ref_5.cpp
  function call_ref (line 5) | void call_ref(Ref<VectorXf> a) { }
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/selfadjointview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/selfadjointview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/sparse_ref_1.cpp
  function call_ref (line 11) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 13) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/sparse_ref_2.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/sparse_ref_3.cpp
  function call_ref (line 6) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function call_ref (line 8) | void call_ref(const Ref<const SparseMatrix<float> > &a) { }
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/sparse_ref_4.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) {}
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/sparse_ref_5.cpp
  function call_ref (line 5) | void call_ref(Ref<SparseMatrix<float> > a) { }
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/sparse_storage_mismatch.cpp
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/swap_1.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/swap_2.cpp
  function main (line 5) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ternary_1.cpp
  function main (line 5) | int main(int argc,char **)

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/ternary_2.cpp
  function main (line 5) | int main(int argc,char **)

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/transpose_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/transpose_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/triangularview_nonconst_ctor_on_const_xpr.cpp
  function foo (line 11) | void foo(CV_QUALIFIER Matrix3d &m){
  function main (line 15) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/failtest/triangularview_on_const_type_actually_const.cpp
  function foo (line 11) | void foo(){
  function main (line 16) | int main() {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/lapack/lapack_common.h
  type Eigen (line 20) | typedef Eigen::Map<Eigen::Transpositions<Eigen::Dynamic,Eigen::Dynamic,i...

FILE: extensions/ngp_raymarch/include/op_include/eigen/scripts/eigen_gen_credits.cpp
  function contributor_name (line 13) | std::string contributor_name(const std::string& line)
  function contributors_map_from_churn_output (line 67) | map<string,int> contributors_map_from_churn_output(const char *filename)
  function string (line 110) | string lastname(const string& name)
  type contributor (line 117) | struct contributor
    method contributor (line 125) | contributor() : changedlines(0), changesets(0) {}
  function add_online_info_into_contributors_list (line 133) | void add_online_info_into_contributors_list(list<contributor>& contribut...
  function main (line 186) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/scripts/relicense.py
  function update (line 47) | def update(text):

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/AnnoyingScalar.h
  type my_exception (line 20) | struct my_exception
  function class (line 31) | class AnnoyingScalar
  function init (line 50) | void init() {
  function AnnoyingScalar (line 102) | AnnoyingScalar real(const AnnoyingScalar &x) { return x; }
  function AnnoyingScalar (line 103) | AnnoyingScalar imag(const AnnoyingScalar & ) { return 0; }
  function AnnoyingScalar (line 104) | AnnoyingScalar conj(const AnnoyingScalar &x) { return x; }
  function AnnoyingScalar (line 105) | AnnoyingScalar sqrt(const AnnoyingScalar &x) { return std::sqrt(*x.v); }
  function AnnoyingScalar (line 106) | AnnoyingScalar abs (const AnnoyingScalar &x) { return std::abs(*x.v); }
  function AnnoyingScalar (line 107) | AnnoyingScalar cos (const AnnoyingScalar &x) { return std::cos(*x.v); }
  function AnnoyingScalar (line 108) | AnnoyingScalar sin (const AnnoyingScalar &x) { return std::sin(*x.v); }
  function AnnoyingScalar (line 109) | AnnoyingScalar acos(const AnnoyingScalar &x) { return std::acos(*x.v); }
  function AnnoyingScalar (line 110) | AnnoyingScalar atan2(const AnnoyingScalar &y,const AnnoyingScalar &x) { ...
  function namespace (line 124) | namespace Eigen {
  function AnnoyingScalar (line 153) | AnnoyingScalar get_test_precision(const AnnoyingScalar&)
  function AnnoyingScalar (line 156) | AnnoyingScalar test_relative_error(const AnnoyingScalar &a, const Annoyi...
  function test_isApprox (line 159) | inline bool test_isApprox(const AnnoyingScalar &a, const AnnoyingScalar &b)
  function test_isMuchSmallerThan (line 162) | inline bool test_isMuchSmallerThan(const AnnoyingScalar &a, const Annoyi...

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/MovableScalar.h
  function namespace (line 15) | namespace Eigen

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/OffByOneScalar.h
  function val_ (line 17) | OffByOneScalar(T val) : val_(val + 1) {}

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/adjoint.cpp
  type adjoint_specific (line 12) | struct adjoint_specific
  type adjoint_specific<true> (line 14) | struct adjoint_specific<true> {
    method run (line 16) | static void run(const Vec& v1, const Vec& v2, Vec& v3, const Mat& squa...
  type adjoint_specific<false> (line 25) | struct adjoint_specific<false> {
    method run (line 27) | static void run(const Vec& v1, const Vec& v2, Vec& v3, const Mat& squa...
  function adjoint (line 65) | void adjoint(const MatrixType& m)
  function adjoint_extra (line 150) | void adjoint_extra()
  function EIGEN_DECLARE_TEST (line 192) | EIGEN_DECLARE_TEST(adjoint)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/array_cwise.cpp
  function pow_test (line 15) | void pow_test() {
  function array (line 85) | void array(const ArrayType& m)
  function comparisons (line 258) | void comparisons(const ArrayType& m)
  function array_real (line 334) | void array_real(const ArrayType& m)
  function array_complex (line 470) | void array_complex(const ArrayType& m)
  function min_max (line 587) | void min_max(const ArrayType& m)
  type shift_left (line 630) | struct shift_left {
    method Scalar (line 632) | Scalar operator()(const Scalar& v) const {
  type arithmetic_shift_right (line 638) | struct arithmetic_shift_right {
    method Scalar (line 640) | Scalar operator()(const Scalar& v) const {
  function array_integer (line 645) | void array_integer(const ArrayType& m)
  function EIGEN_DECLARE_TEST (line 664) | EIGEN_DECLARE_TEST(array_cwise)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/array_for_matrix.cpp
  function array_for_matrix (line 12) | void array_for_matrix(const MatrixType& m)
  function comparisons (line 89) | void comparisons(const MatrixType& m)
  function lpNorm (line 155) | void lpNorm(const VectorType& v)
  function cwise_min_max (line 178) | void cwise_min_max(const MatrixType& m)
  function resize (line 241) | void resize(const MatrixTraits& t)
  function regression_bug_654 (line 267) | void regression_bug_654()
  function regrrssion_bug_1410 (line 275) | void regrrssion_bug_1410()
  function EIGEN_DECLARE_TEST (line 291) | EIGEN_DECLARE_TEST(array_for_matrix)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/array_of_string.cpp
  function EIGEN_DECLARE_TEST (line 12) | EIGEN_DECLARE_TEST(array_of_string)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/array_replicate.cpp
  function replicate (line 12) | void replicate(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 71) | EIGEN_DECLARE_TEST(array_replicate)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/array_reverse.cpp
  function reverse (line 16) | void reverse(const MatrixType& m)
  function array_reverse_extra (line 127) | void array_reverse_extra()
  function EIGEN_DONT_INLINE (line 140) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 149) | EIGEN_DONT_INLINE
  function EIGEN_DONT_INLINE (line 160) | EIGEN_DONT_INLINE
  function bug1684 (line 175) | void bug1684()
  function EIGEN_DECLARE_TEST (line 189) | EIGEN_DECLARE_TEST(array_reverse)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/bandmatrix.cpp
  function bandmatrix (line 12) | void bandmatrix(const MatrixType& _m)
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(bandmatrix)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/basicstuff.cpp
  function check_index (line 14) | typename internal::enable_if<(MatrixType::RowsAtCompileTime==1 || Matrix...
  function check_index (line 21) | typename internal::enable_if<!(MatrixType::RowsAtCompileTime==1 || Matri...
  function basicStuff (line 24) | void basicStuff(const MatrixType& m)
  function basicStuffComplex (line 169) | void basicStuffComplex(const MatrixType& m)
  type casting_test (line 207) | struct casting_test {
    method run (line 208) | static void run() {
  type casting_test_runner (line 225) | struct casting_test_runner {
    method run (line 226) | static void run() {
  type casting_test_runner<SrcScalar, typename internal::enable_if<(NumTraits<SrcScalar>::IsComplex)>::type> (line 248) | struct casting_test_runner<SrcScalar, typename internal::enable_if<(NumT...
    method run (line 250) | static void run() {
  function casting_all (line 259) | void casting_all() {
  function fixedSizeMatrixConstruction (line 280) | void fixedSizeMatrixConstruction()
  function EIGEN_DECLARE_TEST (line 342) | EIGEN_DECLARE_TEST(basicstuff)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/bdcsvd.cpp
  function bdcsvd (line 29) | void bdcsvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
  function bdcsvd_method (line 43) | void bdcsvd_method()
  function compare_bdc_jacobi (line 59) | void compare_bdc_jacobi(const MatrixType& a = MatrixType(), unsigned int...
  function EIGEN_DECLARE_TEST (line 71) | EIGEN_DECLARE_TEST(bdcsvd)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/bfloat16_float.cpp
  type Eigen (line 20) | namespace Eigen {
    type bfloat16 (line 21) | struct bfloat16
  function BinaryToFloat (line 26) | float BinaryToFloat(uint32_t sign, uint32_t exponent, uint32_t high_mant...
  function test_roundtrip (line 36) | void test_roundtrip() {
  function test_conversion (line 48) | void test_conversion()
  function test_numtraits (line 172) | void test_numtraits()
  function test_arithmetic (line 210) | void test_arithmetic()
  function test_comparison (line 221) | void test_comparison()
  function test_basic_functions (line 259) | void test_basic_functions()
  function test_trigonometric_functions (line 307) | void test_trigonometric_functions()
  function test_array (line 331) | void test_array()
  function test_product (line 351) | void test_product()
  function EIGEN_DECLARE_TEST (line 366) | EIGEN_DECLARE_TEST(bfloat16_float)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/bicgstab.cpp
  function test_bicgstab_T (line 13) | void test_bicgstab_T()
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(bicgstab)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/blasutil.cpp
  function compare (line 24) | void compare(const Packet& a, const Packet& b)
  type PacketBlockSet (line 43) | struct PacketBlockSet
    method setPacketBlock (line 47) | void setPacketBlock(internal::PacketBlock<Packet,n>& block, Scalar value)
    method comparePacketBlock (line 55) | void comparePacketBlock(Scalar *data, int i, int j, int stride, intern...
  function run_bdmp_spec_1 (line 66) | void run_bdmp_spec_1()
  function run_test (line 175) | void run_test()
  function EIGEN_DECLARE_TEST (line 189) | EIGEN_DECLARE_TEST(blasutil)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/block.cpp
  function block_real_only (line 13) | typename Eigen::internal::enable_if<!NumTraits<typename MatrixType::Scal...
  function block_real_only (line 26) | typename Eigen::internal::enable_if<NumTraits<typename MatrixType::Scala...
  function is_same_block (line 33) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function check_left_top (line 40) | typename internal::enable_if<((MatrixType::Flags&RowMajorBit)==0),void>:...
  function check_left_top (line 47) | typename internal::enable_if<((MatrixType::Flags&RowMajorBit)!=0),void>:...
  function block (line 53) | void block(const MatrixType& m)
  function compare_using_data_and_stride (line 246) | typename internal::enable_if<MatrixType::IsVectorAtCompileTime,void>::type
  function compare_using_data_and_stride (line 267) | typename internal::enable_if<!MatrixType::IsVectorAtCompileTime,void>::type
  function data_and_stride (line 290) | void data_and_stride(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 309) | EIGEN_DECLARE_TEST(block)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/boostmultiprec.cpp
  type Eigen (line 79) | namespace Eigen {
    type NumTraits<Real> (line 80) | struct NumTraits<Real> : GenericNumTraits<Real> {
      method Real (line 81) | static inline Real dummy_precision() { return 1e-50; }
    type NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4,T5> > (line 85) | struct NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4...
    function Real (line 88) | Real test_precision<Real>() { return 1e-50; }
    type internal (line 91) | namespace internal {
      type cast_impl<Real,NewType> (line 93) | struct cast_impl<Real,NewType> {
        method NewType (line 94) | static inline NewType run(const Real& x) {
      type cast_impl<Real,std::complex<Real> > (line 100) | struct cast_impl<Real,std::complex<Real> > {
        method run (line 101) | static inline std::complex<Real>  run(const Real& x) {
  type boost (line 108) | namespace boost {
    type multiprecision (line 109) | namespace multiprecision {
      function Real (line 118) | Real fabs(const Real& a) { return abs EIGEN_NOT_A_MACRO (a); }
      function Real (line 119) | Real fmax(const Real& a, const Real& b) { using std::max; return max...
      function test_isMuchSmallerThan (line 122) | inline bool test_isMuchSmallerThan(const Real& a, const Real& b) {
      function test_isApprox (line 126) | inline bool test_isApprox(const Real& a, const Real& b) {
      function test_isApproxOrLessThan (line 130) | inline bool test_isApproxOrLessThan(const Real& a, const Real& b) {
      function Real (line 134) | Real get_test_precision(const Real&) {
      function Real (line 138) | Real test_relative_error(const Real &a, const Real &b) {
  type Eigen (line 145) | namespace Eigen {
    type NumTraits<Real> (line 80) | struct NumTraits<Real> : GenericNumTraits<Real> {
      method Real (line 81) | static inline Real dummy_precision() { return 1e-50; }
    type NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4,T5> > (line 85) | struct NumTraits<boost::multiprecision::detail::expression<T1,T2,T3,T4...
    function Real (line 88) | Real test_precision<Real>() { return 1e-50; }
    type internal (line 91) | namespace internal {
      type cast_impl<Real,NewType> (line 93) | struct cast_impl<Real,NewType> {
        method NewType (line 94) | static inline NewType run(const Real& x) {
      type cast_impl<Real,std::complex<Real> > (line 100) | struct cast_impl<Real,std::complex<Real> > {
        method run (line 101) | static inline std::complex<Real>  run(const Real& x) {
  function EIGEN_DECLARE_TEST (line 149) | EIGEN_DECLARE_TEST(boostmultiprec)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/bug1213.cpp
  function bug1213_1 (line 9) | bool bug1213_1(const Eigen::Vector3f& x)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/bug1213_main.cpp
  function main (line 6) | int main()
  function bug1213_2 (line 13) | bool bug1213_2(const Eigen::Matrix<T,dim,1>& )

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/cholesky.cpp
  function matrix_l1_norm (line 18) | typename MatrixType::RealScalar matrix_l1_norm(const MatrixType& m) {
  function test_chol_update (line 24) | void test_chol_update(const MatrixType& symm)
  function cholesky (line 56) | void cholesky(const MatrixType& m)
  function cholesky_cplx (line 286) | void cholesky_cplx(const MatrixType& m)
  function cholesky_bug241 (line 343) | void cholesky_bug241(const MatrixType& m)
  function cholesky_definiteness (line 361) | void cholesky_definiteness(const MatrixType& m)
  function cholesky_faillure_cases (line 410) | void cholesky_faillure_cases()
  function cholesky_verify_assert (line 471) | void cholesky_verify_assert()
  function EIGEN_DECLARE_TEST (line 495) | EIGEN_DECLARE_TEST(cholesky)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/cholmod_support.cpp
  function test_cholmod_ST (line 15) | void test_cholmod_ST()
  function test_cholmod_T (line 53) | void test_cholmod_T()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(cholmod_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/commainitializer.cpp
  function test_blocks (line 14) | void test_blocks()
  type test_block_recursion (line 59) | struct test_block_recursion
    method run (line 61) | static void run()
  type test_block_recursion<0,N> (line 69) | struct test_block_recursion<0,N>
    method run (line 71) | static void run() {
  function test_basics (line 76) | void test_basics() {
  function EIGEN_DECLARE_TEST (line 111) | EIGEN_DECLARE_TEST(commainitializer)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/conjugate_gradient.cpp
  function test_conjugate_gradient_T (line 13) | void test_conjugate_gradient_T()
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(conjugate_gradient)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/conservative_resize.cpp
  function run_matrix_tests (line 18) | void run_matrix_tests()
  function run_vector_tests (line 61) | void run_vector_tests()
  function noncopyable (line 114) | void noncopyable()
  function EIGEN_DECLARE_TEST (line 139) | EIGEN_DECLARE_TEST(conservative_resize)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/constructor.cpp
  type Wrapper (line 15) | struct Wrapper
    method Wrapper (line 18) | inline Wrapper(const MatrixType &x) : m_mat(x) {}
  type my_sizes (line 23) | enum my_sizes { M = 12, N = 7}
  function ctor_init1 (line 25) | void ctor_init1(const MatrixType& m)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/corners.cpp
  function corners (line 16) | void corners(const MatrixType& m)
  function corners_fixedsize (line 45) | void corners_fixedsize()
  function EIGEN_DECLARE_TEST (line 104) | EIGEN_DECLARE_TEST(corners)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/ctorleak.cpp
  type Foo (line 5) | struct Foo
    method Foo (line 11) | Foo() : dummy(0)
    class Fail (line 27) | class Fail : public std::exception {}
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(ctorleak)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/denseLM.cpp
  type DenseLM (line 21) | struct DenseLM : DenseFunctor<Scalar>
    method DenseLM (line 27) | DenseLM(int n, int m) : DenseFunctor<Scalar>(n,m)
    method VectorType (line 30) | VectorType model(const VectorType& uv, VectorType& x)
    method initPoints (line 50) | void initPoints(VectorType& uv_ref, VectorType& x)
    method df (line 78) | int df(const VectorType& uv, JacobianType& fjac)
  function test_minimizeLM (line 102) | int test_minimizeLM(FunctorType& functor, VectorType& uv)
  function test_lmder (line 115) | int test_lmder(FunctorType& functor, VectorType& uv)
  function test_minimizeSteps (line 128) | int test_minimizeSteps(FunctorType& functor, VectorType& uv)
  function test_denseLM_T (line 146) | void test_denseLM_T()
  function EIGEN_DECLARE_TEST (line 185) | EIGEN_DECLARE_TEST(denseLM)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/dense_storage.cpp
  function dense_storage_copy (line 28) | void dense_storage_copy(int rows, int cols)
  function dense_storage_assignment (line 45) | void dense_storage_assignment(int rows, int cols)
  function dense_storage_swap (line 63) | void dense_storage_swap(int rows0, int cols0, int rows1, int cols1)
  function dense_storage_alignment (line 91) | void dense_storage_alignment()
  function dense_storage_tests (line 117) | void dense_storage_tests() {
  function EIGEN_DECLARE_TEST (line 184) | EIGEN_DECLARE_TEST(dense_storage)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/determinant.cpp
  function determinant (line 14) | void determinant(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 53) | EIGEN_DECLARE_TEST(determinant)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/diagonal.cpp
  function diagonal (line 12) | void diagonal(const MatrixType& m)
  function diagonal_assert (line 73) | void diagonal_assert(const MatrixType& m) {
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(diagonal)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/diagonal_matrix_variadic_ctor.cpp
  function constructorTest (line 37) | void constructorTest()
  function EIGEN_DECLARE_TEST (line 144) | EIGEN_DECLARE_TEST(diagonal_matrix_variadic_ctor)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/diagonalmatrices.cpp
  function diagonalmatrices (line 12) | void diagonalmatrices(const MatrixType& m)
  function as_scalar_product (line 117) | void as_scalar_product(const MatrixType& m)
  function bug987 (line 144) | void bug987()
  function EIGEN_DECLARE_TEST (line 154) | EIGEN_DECLARE_TEST(diagonalmatrices)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/dontalign.cpp
  function dontalign (line 20) | void dontalign(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 47) | EIGEN_DECLARE_TEST(dontalign)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/dynalloc.cpp
  function check_handmade_aligned_malloc (line 21) | void check_handmade_aligned_malloc()
  function check_aligned_malloc (line 33) | void check_aligned_malloc()
  function check_aligned_new (line 45) | void check_aligned_new()
  function ei_declare_aligned_stack_constructed_variable (line 61) | ei_declare_aligned_stack_constructed_variable(float,p,i,0);
  function EIGEN_DECLARE_TEST (line 123) | EIGEN_DECLARE_TEST(dynalloc)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/eigen2support.cpp
  function eigen2support (line 14) | void eigen2support(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 55) | EIGEN_DECLARE_TEST(eigen2support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/eigensolver_complex.cpp
  function find_pivot (line 16) | bool find_pivot(typename MatrixType::Scalar tol, MatrixType &diffs, Inde...
  function verify_is_approx_upto_permutation (line 55) | void verify_is_approx_upto_permutation(const VectorType& vec1, const Vec...
  function eigensolver (line 72) | void eigensolver(const MatrixType& m)
  function eigensolver_verify_assert (line 144) | void eigensolver_verify_assert(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 155) | EIGEN_DECLARE_TEST(eigensolver_complex)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/eigensolver_generalized_real.cpp
  function generalized_eigensolver_real (line 16) | void generalized_eigensolver_real(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 88) | EIGEN_DECLARE_TEST(eigensolver_generalized_real)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/eigensolver_generic.cpp
  function check_eigensolver_for_given_mat (line 16) | void check_eigensolver_for_given_mat(const EigType &eig, const MatType& a)
  function eigensolver (line 30) | void eigensolver(const MatrixType& m)
  function eigensolver_verify_assert (line 98) | void eigensolver_verify_assert(const MatrixType& m)
  function make_companion (line 114) | Matrix<typename CoeffType::Scalar,Dynamic,Dynamic>
  function eigensolver_generic_extra (line 126) | void eigensolver_generic_extra()
  function EIGEN_DECLARE_TEST (line 209) | EIGEN_DECLARE_TEST(eigensolver_generic)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/eigensolver_selfadjoint.cpp
  function selfadjointeigensolver_essential_check (line 18) | void selfadjointeigensolver_essential_check(const MatrixType& m)
  function selfadjointeigensolver (line 69) | void selfadjointeigensolver(const MatrixType& m)
  function bug_854 (line 194) | void bug_854()
  function bug_1014 (line 204) | void bug_1014()
  function bug_1225 (line 214) | void bug_1225()
  function bug_1204 (line 226) | void bug_1204()
  function EIGEN_DECLARE_TEST (line 233) | EIGEN_DECLARE_TEST(eigensolver_selfadjoint)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/evaluators.cpp
  type Eigen (line 4) | namespace Eigen {
    function prod (line 7) | const Product<Lhs,Rhs>
    function lazyprod (line 14) | const Product<Lhs,Rhs,LazyProduct>
    function EIGEN_STRONG_INLINE (line 21) | EIGEN_STRONG_INLINE
    function EIGEN_STRONG_INLINE (line 29) | EIGEN_STRONG_INLINE
    function EIGEN_STRONG_INLINE (line 37) | EIGEN_STRONG_INLINE
    function add_assign_using_evaluator (line 53) | void add_assign_using_evaluator(const DstXprType& dst, const SrcXprTyp...
    function subtract_assign_using_evaluator (line 60) | void subtract_assign_using_evaluator(const DstXprType& dst, const SrcX...
    function multiply_assign_using_evaluator (line 67) | void multiply_assign_using_evaluator(const DstXprType& dst, const SrcX...
    function divide_assign_using_evaluator (line 74) | void divide_assign_using_evaluator(const DstXprType& dst, const SrcXpr...
    function swap_using_evaluator (line 81) | void swap_using_evaluator(const DstXprType& dst, const SrcXprType& src)
    type internal (line 87) | namespace internal {
      function EIGEN_DEVICE_FUNC (line 89) | EIGEN_DEVICE_FUNC void call_assignment(const NoAlias<Dst,StorageBase...
      function EIGEN_DEVICE_FUNC (line 95) | EIGEN_DEVICE_FUNC void call_restricted_packet_assignment(const NoAli...
  function get_cost (line 103) | long get_cost(const XprType& ) { return Eigen::internal::evaluator<XprTy...
  function EIGEN_DECLARE_TEST (line 110) | EIGEN_DECLARE_TEST(evaluators)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/exceptions.cpp
  function EIGEN_DECLARE_TEST (line 32) | EIGEN_DECLARE_TEST(exceptions)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/fastmath.cpp
  function check (line 12) | void check(bool b, bool ref)
  type std (line 22) | namespace std {
  function check_inf_nan (line 30) | void check_inf_nan(bool dryrun) {
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(fastmath) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/first_aligned.cpp
  function test_first_aligned_helper (line 13) | void test_first_aligned_helper(Scalar *array, int size)
  function test_none_aligned_helper (line 20) | void test_none_aligned_helper(Scalar *array, int size)
  type some_non_vectorizable_type (line 27) | struct some_non_vectorizable_type { float x; }
  function EIGEN_DECLARE_TEST (line 29) | EIGEN_DECLARE_TEST(first_aligned)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_alignedbox.cpp
  function EIGEN_DONT_INLINE (line 18) | EIGEN_DONT_INLINE
  function alignedbox (line 28) | void alignedbox(const BoxType& box)
  function alignedboxTranslatable (line 89) | void alignedboxTranslatable(const BoxType& box)
  function Rotation (line 177) | Rotation rotate2D(Scalar angle) {
  function Rotation (line 182) | Rotation rotate2DIntegral(typename NumTraits<Scalar>::NonInteger angle) {
  function Rotation (line 189) | Rotation rotate3DZAxis(Scalar angle) {
  function Rotation (line 194) | Rotation rotate3DZAxisIntegral(typename NumTraits<Scalar>::NonInteger an...
  function Rotation (line 201) | Rotation rotate4DZWAxis(Scalar angle) {
  function MatrixType (line 208) | MatrixType randomRotationMatrix()
  function boxGetCorners (line 223) | Matrix<Scalar, Dim, (1<<Dim)> boxGetCorners(const Matrix<Scalar, Dim, 1>...
  function alignedboxRotatable (line 234) | void alignedboxRotatable(
  function alignedboxNonIntegralRotatable (line 304) | void alignedboxNonIntegralRotatable(
  function alignedboxCastTests (line 429) | void alignedboxCastTests(const BoxType& box)
  function specificTest1 (line 454) | void specificTest1()
  function specificTest2 (line 481) | void specificTest2()
  function EIGEN_DECLARE_TEST (line 507) | EIGEN_DECLARE_TEST(geo_alignedbox)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_eulerangles.cpp
  function verify_euler (line 17) | void verify_euler(const Matrix<Scalar,3,1>& ea, int i, int j, int k)
  function check_all_var (line 41) | void check_all_var(const Matrix<Scalar,3,1>& ea)
  function eulerangles (line 59) | void eulerangles()
  function EIGEN_DECLARE_TEST (line 106) | EIGEN_DECLARE_TEST(geo_eulerangles)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_homogeneous.cpp
  function homogeneous (line 13) | void homogeneous(void)
  function EIGEN_DECLARE_TEST (line 118) | EIGEN_DECLARE_TEST(geo_homogeneous)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_hyperplane.cpp
  function hyperplane (line 16) | void hyperplane(const HyperplaneType& _plane)
  function lines (line 88) | void lines()
  function planes (line 129) | void planes()
  function hyperplane_alignment (line 155) | void hyperplane_alignment()
  function EIGEN_DECLARE_TEST (line 178) | EIGEN_DECLARE_TEST(geo_hyperplane)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_orthomethods.cpp
  function orthomethods_3 (line 19) | void orthomethods_3()
  function orthomethods (line 80) | void orthomethods(int size=Size)
  function EIGEN_DECLARE_TEST (line 118) | EIGEN_DECLARE_TEST(geo_orthomethods)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_parametrizedline.cpp
  function parametrizedline (line 16) | void parametrizedline(const LineType& _line)
  function parametrizedline_alignment (line 90) | void parametrizedline_alignment()
  function EIGEN_DECLARE_TEST (line 115) | EIGEN_DECLARE_TEST(geo_parametrizedline)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_quaternion.cpp
  function T (line 17) | T bounded_acos(T v)
  function check_slerp (line 25) | void check_slerp(const QuatType& q0, const QuatType& q1)
  function quaternion (line 46) | void quaternion(void)
  function mapQuaternion (line 184) | void mapQuaternion(void){
  function quaternionAlignment (line 261) | void quaternionAlignment(void){
  function check_const_correctness (line 282) | void check_const_correctness(const PlainObjectType&)
  type MovableClass (line 299) | struct MovableClass {
    method MovableClass (line 302) | MovableClass() = default;
    method MovableClass (line 303) | MovableClass(const MovableClass&) = default;
    method MovableClass (line 304) | MovableClass(MovableClass&&) noexcept = default;
    method MovableClass (line 305) | MovableClass& operator=(const MovableClass&) = default;
    method MovableClass (line 306) | MovableClass& operator=(MovableClass&&) = default;
  function EIGEN_DECLARE_TEST (line 312) | EIGEN_DECLARE_TEST(geo_quaternion)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/geo_transformations.cpp
  function angleToVec (line 16) | Matrix<T,2,1> angleToVec(T a)
  function EIGEN_DONT_INLINE (line 23) | EIGEN_DONT_INLINE
  function non_projective_only (line 26) | void non_projective_only()
  function transformations (line 86) | void transformations()
  function transform_associativity_left (line 502) | void transform_associativity_left(const A1& a1, const A2& a2, const P& p...
  function transform_associativity2 (line 510) | void transform_associativity2(const A1& a1, const A2& a2, const P& p, co...
  function transform_associativity (line 520) | void transform_associativity(const RotationType& R)
  function transform_alignment (line 563) | void transform_alignment()
  function transform_products (line 587) | void transform_products()
  function transformations_no_scale (line 610) | void transformations_no_scale()
  function transformations_computed_scaling_continuity (line 670) | void transformations_computed_scaling_continuity()
  function EIGEN_DECLARE_TEST (line 697) | EIGEN_DECLARE_TEST(geo_transformations)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/gpu_common.h
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 32) | EIGEN_HIP_LAUNCH_BOUNDS_1024
  type compile_time_device_info (line 115) | struct compile_time_device_info {
  function ei_test_init_gpu (line 131) | void ei_test_init_gpu()

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/gpu_test_helper.h
  function namespace (line 25) | namespace Eigen {
  type void_helper (line 87) | struct void_helper {
  function restore (line 124) | void restore(const Void&) {}
  function args (line 146) | auto args = make_tuple(typename std::decay<Args>::type{}
  function run_serialized (line 172) | void run_serialized(Kernel kernel, uint8_t* buffer, size_t capacity) {
  function run_serialized_on_gpu_meta_kernel (line 194) | void run_serialized_on_gpu_meta_kernel(const Kernel kernel, uint8_t* buf...
  type CompileTimeDeviceInfoKernel (line 352) | struct CompileTimeDeviceInfoKernel {
  function print_gpu_device_info (line 375) | void print_gpu_device_info()

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/half_float.cpp
  type Eigen (line 18) | namespace Eigen {
    type half (line 19) | struct half
  function test_conversion (line 24) | void test_conversion()
  function test_numtraits (line 123) | void test_numtraits()
  function test_arithmetic (line 162) | void test_arithmetic()
  function test_comparison (line 187) | void test_comparison()
  function test_basic_functions (line 225) | void test_basic_functions()
  function test_trigonometric_functions (line 278) | void test_trigonometric_functions()
  function test_array (line 302) | void test_array()
  function test_product (line 322) | void test_product()
  function EIGEN_DECLARE_TEST (line 337) | EIGEN_DECLARE_TEST(half_float)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/hessenberg.cpp
  function hessenberg (line 14) | void hessenberg(int size = Size)
  function EIGEN_DECLARE_TEST (line 52) | EIGEN_DECLARE_TEST(hessenberg)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/householder.cpp
  function householder (line 13) | void householder(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 136) | EIGEN_DECLARE_TEST(householder)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/incomplete_cholesky.cpp
  function test_incomplete_cholesky_T (line 15) | void test_incomplete_cholesky_T()
  function bug1150 (line 33) | void bug1150()
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(incomplete_cholesky)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/indexed_view.cpp
  function encode (line 50) | int encode(Index i, Index j) {
  function IndexPair (line 54) | IndexPair decode(Index ij) {
  function match (line 59) | bool match(const T& xpr, std::string ref, std::string str_xpr = "") {
  function is_same_eq (line 71) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function is_same_seq (line 78) | bool is_same_seq(const T1& a, const T2& b)
  function is_same_seq_type (line 90) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  type DummyEnum (line 101) | enum DummyEnum { XX=0, YY=1 }
  function check_indexed_view (line 103) | void check_indexed_view()
  function EIGEN_DECLARE_TEST (line 460) | EIGEN_DECLARE_TEST(indexed_view)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/initializer_list_construction.cpp
  type TestMethodDispatching (line 20) | struct TestMethodDispatching {
    method run (line 21) | static void run() {}
  type TestMethodDispatching<Scalar, 1> (line 25) | struct TestMethodDispatching<Scalar, 1> {
    method run (line 26) | static void run()
  function fixedsizeVariadicVectorConstruction2 (line 55) | void fixedsizeVariadicVectorConstruction2()
  function fixedsizeVariadicVectorConstruction3 (line 93) | void fixedsizeVariadicVectorConstruction3()
  function fixedsizeVariadicVectorConstruction (line 101) | void fixedsizeVariadicVectorConstruction()
  function initializerListVectorConstruction (line 110) | void initializerListVectorConstruction()
  function initializerListMatrixConstruction (line 166) | void initializerListMatrixConstruction()
  function initializerListArrayConstruction (line 238) | void initializerListArrayConstruction()
  function dynamicVectorConstruction (line 309) | void dynamicVectorConstruction()
  function EIGEN_DECLARE_TEST (line 330) | EIGEN_DECLARE_TEST(initializer_list_construction)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/inplace_decomposition.cpp
  function inplace (line 17) | void inplace(bool square = false, bool SPD = false)
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(inplace_decomposition)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/integer_types.cpp
  function signed_integer_type_tests (line 17) | void signed_integer_type_tests(const MatrixType& m)
  function integer_type_tests (line 47) | void integer_type_tests(const MatrixType& m)
  function integer_types_extra (line 133) | void integer_types_extra()
  function EIGEN_DECLARE_TEST (line 143) | EIGEN_DECLARE_TEST(integer_types)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/inverse.cpp
  function inverse_for_fixed_size (line 15) | void inverse_for_fixed_size(const MatrixType&, typename internal::enable...
  function inverse_for_fixed_size (line 20) | void inverse_for_fixed_size(const MatrixType& m1, typename internal::ena...
  function inverse (line 65) | void inverse(const MatrixType& m)
  function inverse_zerosized (line 109) | void inverse_zerosized()
  function EIGEN_DECLARE_TEST (line 124) | EIGEN_DECLARE_TEST(inverse)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/io.cpp
  type check_ostream_impl (line 15) | struct check_ostream_impl
    method run (line 17) | static void run()
  type check_ostream_impl<bool> (line 29) | struct check_ostream_impl<bool>
    method run (line 31) | static void run()
  type check_ostream_impl< std::complex<Scalar> > (line 41) | struct check_ostream_impl< std::complex<Scalar> >
    method run (line 43) | static void run()
  function check_ostream (line 53) | static void check_ostream()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(rand)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/is_same_dense.cpp
  function EIGEN_DECLARE_TEST (line 14) | EIGEN_DECLARE_TEST(is_same_dense)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/jacobi.cpp
  function jacobi (line 15) | void jacobi(const MatrixType& m = MatrixType())
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(jacobi)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/jacobisvd.cpp
  function jacobisvd (line 23) | void jacobisvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
  function jacobisvd_verify_assert (line 36) | void jacobisvd_verify_assert(const MatrixType& m)
  function jacobisvd_method (line 63) | void jacobisvd_method()
  type Foo (line 77) | namespace Foo {
    class Bar (line 80) | class Bar {public: Bar() {}}
      method Bar (line 80) | Bar() {}
  function msvc_workaround (line 85) | void msvc_workaround()
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(jacobisvd)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/klu_support.cpp
  function test_klu_support_T (line 15) | void test_klu_support_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(klu_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/linearstructure.cpp
  function linearStructure (line 16) | void linearStructure(const MatrixType& m)
  function real_complex (line 76) | void real_complex(DenseIndex rows = MatrixType::RowsAtCompileTime, Dense...
  function linearstructure_overflow (line 114) | void linearstructure_overflow()
  function EIGEN_DECLARE_TEST (line 126) | EIGEN_DECLARE_TEST(linearstructure)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/lscg.cpp
  function test_lscg_T (line 13) | void test_lscg_T()
  function EIGEN_DECLARE_TEST (line 33) | EIGEN_DECLARE_TEST(lscg)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/lu.cpp
  function matrix_l1_norm (line 16) | typename MatrixType::RealScalar matrix_l1_norm(const MatrixType& m) {
  function lu_non_invertible (line 20) | void lu_non_invertible()
  function lu_invertible (line 110) | void lu_invertible()
  function lu_partial_piv (line 155) | void lu_partial_piv(Index size = MatrixType::ColsAtCompileTime)
  function lu_verify_assert (line 183) | void lu_verify_assert()
  function EIGEN_DECLARE_TEST (line 214) | EIGEN_DECLARE_TEST(lu)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/main.h
  type real (line 106) | struct real {}
  type imag (line 107) | struct imag {}
  function on_temporary_creation (line 134) | inline void on_temporary_creation(long int size) {
  function namespace (line 169) | namespace Eigen
  function namespace (line 224) | namespace Eigen
  function namespace (line 255) | namespace Eigen
  function verify_impl (line 341) | inline void verify_impl(bool condition, const char *testname, const char...
  function namespace (line 392) | namespace Eigen {
  function namespace (line 402) | namespace Eigen {
  function float (line 724) | struct GetDifferentType<float> { typedef double type; }
  function double (line 725) | struct GetDifferentType<double> { typedef float type; }
  function string (line 729) | string type_name()                    { return "other"; }

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/mapped_matrix.cpp
  function map_class_vector (line 14) | void map_class_vector(const VectorType& m)
  function map_class_matrix (line 47) | void map_class_matrix(const MatrixType& m)
  function map_static_methods (line 117) | void map_static_methods(const VectorType& m)
  function check_const_correctness (line 142) | void check_const_correctness(const PlainObjectType&)
  function map_not_aligned_on_scalar (line 157) | void map_not_aligned_on_scalar()
  function EIGEN_DECLARE_TEST (line 177) | EIGEN_DECLARE_TEST(mapped_matrix)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/mapstaticmethods.cpp
  type mapstaticmethods_impl (line 23) | struct mapstaticmethods_impl {}
  type mapstaticmethods_impl<PlainObjectType, false, IsVector> (line 26) | struct mapstaticmethods_impl<PlainObjectType, false, IsVector>
    method run (line 28) | static void run(const PlainObjectType& m)
  type mapstaticmethods_impl<PlainObjectType, true, false> (line 72) | struct mapstaticmethods_impl<PlainObjectType, true, false>
    method run (line 74) | static void run(const PlainObjectType& m)
  type mapstaticmethods_impl<PlainObjectType, true, true> (line 118) | struct mapstaticmethods_impl<PlainObjectType, true, true>
    method run (line 120) | static void run(const PlainObjectType& v)
  function mapstaticmethods (line 144) | void mapstaticmethods(const PlainObjectType& m)
  function EIGEN_DECLARE_TEST (line 150) | EIGEN_DECLARE_TEST(mapstaticmethods)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/mapstride.cpp
  function map_class_vector (line 12) | void map_class_vector(const VectorType& m)
  function map_class_matrix (line 50) | void map_class_matrix(const MatrixType& _m)
  function bug1453 (line 196) | void bug1453()
  function EIGEN_DECLARE_TEST (line 226) | EIGEN_DECLARE_TEST(mapstride)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/meta.cpp
  function check_is_convertible (line 13) | bool check_is_convertible(const From&, const To&)
  type FooReturnType (line 18) | struct FooReturnType {
  type MyInterface (line 22) | struct MyInterface {
  type MyImpl (line 26) | struct MyImpl : public MyInterface {
    method func (line 27) | void func() {}
  function EIGEN_DECLARE_TEST (line 30) | EIGEN_DECLARE_TEST(meta)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/metis_support.cpp
  function test_metis_T (line 15) | void test_metis_T()
  function EIGEN_DECLARE_TEST (line 22) | EIGEN_DECLARE_TEST(metis_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/miscmatrices.cpp
  function miscMatrices (line 12) | void miscMatrices(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 37) | EIGEN_DECLARE_TEST(miscmatrices)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/mixingtypes.cpp
  function mixingtypes (line 48) | void mixingtypes(int size = SizeAtCompileType)
  function EIGEN_DECLARE_TEST (line 286) | EIGEN_DECLARE_TEST(mixingtypes)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/mpl2only.cpp
  function main (line 21) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/nestbyvalue.cpp
  function XprType (line 17) | XprType get_xpr_with_temps(const MatrixXd& a)
  function EIGEN_DECLARE_TEST (line 24) | EIGEN_DECLARE_TEST(nestbyvalue)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/nesting_ops.cpp
  function use_n_times (line 16) | void use_n_times(const XprType &xpr)
  function verify_eval_type (line 27) | bool verify_eval_type(const XprType &, const ReferenceType&)
  function run_nesting_ops_1 (line 33) | void run_nesting_ops_1(const MatrixType& _m)
  function run_nesting_ops_2 (line 48) | void run_nesting_ops_2(const MatrixType& _m)
  function EIGEN_DECLARE_TEST (line 94) | EIGEN_DECLARE_TEST(nesting_ops)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/nomalloc.cpp
  function nomalloc (line 23) | void nomalloc(const MatrixType& m)
  function ctms_decompositions (line 92) | void ctms_decompositions()
  function test_zerosized (line 158) | void test_zerosized() {
  function test_reference (line 171) | void test_reference(const MatrixType& m) {
  function EIGEN_DECLARE_TEST (line 205) | EIGEN_DECLARE_TEST(nomalloc)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/nullary.cpp
  function equalsIdentity (line 14) | bool equalsIdentity(const MatrixType& A)
  function check_extremity_accuracy (line 37) | void check_extremity_accuracy(const VectorType &v, const typename Vector...
  function testVectorType (line 64) | void testVectorType(const VectorType& base)
  function testMatrixType (line 216) | void testMatrixType(const MatrixType& m)
  function bug79 (line 244) | void bug79()
  function bug1630 (line 251) | void bug1630()
  function nullary_overflow (line 259) | void nullary_overflow()
  function nullary_internal_logic (line 271) | void nullary_internal_logic()
  function EIGEN_DECLARE_TEST (line 315) | EIGEN_DECLARE_TEST(nullary)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/num_dimensions.cpp
  function check_dim (line 14) | void check_dim(const Xpr& ) {
  function map_num_dimensions (line 20) | void map_num_dimensions()
  function EIGEN_DECLARE_TEST (line 63) | EIGEN_DECLARE_TEST(num_dimensions)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/numext.cpp
  function check_if_equal_or_nans (line 13) | bool check_if_equal_or_nans(const T& actual, const U& expected) {
  function check_if_equal_or_nans (line 18) | bool check_if_equal_or_nans(const std::complex<T>& actual, const std::co...
  function test_is_equal_or_nans (line 24) | bool test_is_equal_or_nans(const T& actual, const U& expected)
  function check_abs (line 40) | void check_abs() {
  function check_arg (line 65) | void check_arg() {
  type check_sqrt_impl (line 79) | struct check_sqrt_impl {
    method run (line 80) | static void run() {
  type check_sqrt_impl<std::complex<T>  > (line 100) | struct check_sqrt_impl<std::complex<T>  > {
    method run (line 101) | static void run() {
  function check_sqrt (line 150) | void check_sqrt() {
  type check_rsqrt_impl (line 155) | struct check_rsqrt_impl {
    method run (line 156) | static void run() {
  type check_rsqrt_impl<std::complex<T> > (line 178) | struct check_rsqrt_impl<std::complex<T> > {
    method run (line 179) | static void run() {
  function check_rsqrt (line 238) | void check_rsqrt() {
  function EIGEN_DECLARE_TEST (line 242) | EIGEN_DECLARE_TEST(numext) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/packetmath.cpp
  function T (line 15) | inline T REF_ADD(const T& a, const T& b) {
  function T (line 19) | inline T REF_SUB(const T& a, const T& b) {
  function T (line 23) | inline T REF_MUL(const T& a, const T& b) {
  function T (line 27) | inline T REF_DIV(const T& a, const T& b) {
  function T (line 31) | inline T REF_ABS_DIFF(const T& a, const T& b) {
  function REF_ADD (line 37) | inline bool REF_ADD(const bool& a, const bool& b) {
  function REF_SUB (line 41) | inline bool REF_SUB(const bool& a, const bool& b) {
  function REF_MUL (line 45) | inline bool REF_MUL(const bool& a, const bool& b) {
  function T (line 50) | inline T REF_FREXP(const T& x, T& exp) {
  function T (line 59) | inline T REF_LDEXP(const T& x, const T& exp) {
  type pcast_array (line 66) | struct pcast_array
  type pcast_array<SrcPacket, TgtPacket, 1, TgtCoeffRatio> (line 69) | struct pcast_array<SrcPacket, TgtPacket, 1, TgtCoeffRatio> {
    method cast (line 72) | static void cast(const SrcScalar* src, size_t size, TgtScalar* dst) {
  type pcast_array<SrcPacket, TgtPacket, 2, 1> (line 87) | struct pcast_array<SrcPacket, TgtPacket, 2, 1> {
    method cast (line 88) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type pcast_array<SrcPacket, TgtPacket, 4, 1> (line 101) | struct pcast_array<SrcPacket, TgtPacket, 4, 1> {
    method cast (line 102) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type pcast_array<SrcPacket, TgtPacket, 8, 1> (line 117) | struct pcast_array<SrcPacket, TgtPacket, 8, 1> {
    method cast (line 118) | static void cast(const typename internal::unpacket_traits<SrcPacket>::...
  type test_cast_helper (line 137) | struct test_cast_helper
  type test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRatio, false> (line 140) | struct test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRat...
    method run (line 141) | static void run() {}
  type test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRatio, true> (line 145) | struct test_cast_helper<SrcPacket, TgtPacket, SrcCoeffRatio, TgtCoeffRat...
    method run (line 146) | static void run() {
  type test_cast (line 175) | struct test_cast {
    method run (line 176) | static void run() {
  type test_cast_runner (line 195) | struct test_cast_runner
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, false> (line 198) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, false> {
    method run (line 199) | static void run() { test_cast<SrcPacket, TgtPacket>::run(); }
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, true> (line 203) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, true, true> {
    method run (line 204) | static void run() {
  type test_cast_runner<SrcPacket, TgtScalar, TgtPacket, false, false> (line 211) | struct test_cast_runner<SrcPacket, TgtScalar, TgtPacket, false, false> {
    method run (line 212) | static void run() {}
  type packetmath_pcast_ops_runner (line 216) | struct packetmath_pcast_ops_runner {
    method run (line 217) | static void run() {
  type packetmath_pcast_ops_runner<Scalar, Packet, typename internal::enable_if<NumTraits<Scalar>::IsComplex>::type> (line 238) | struct packetmath_pcast_ops_runner<Scalar, Packet, typename internal::en...
    method run (line 239) | static void run() {
  function packetmath_boolean_mask_ops (line 248) | void packetmath_boolean_mask_ops() {
  function packetmath_boolean_mask_ops_real (line 283) | void packetmath_boolean_mask_ops_real() {
  function packetmath_boolean_mask_ops_notcomplex (line 313) | void packetmath_boolean_mask_ops_notcomplex() {
  function packetmath_minus_zero_add (line 353) | void packetmath_minus_zero_add() {
  type eigen_optimization_barrier_test (line 372) | struct eigen_optimization_barrier_test {
    method run (line 373) | static void run() {}
  type eigen_optimization_barrier_test<Packet, typename internal::enable_if<
    !NumTraits<Packet>::IsComplex &&
    !internal::is_same<Packet, Eigen::half>::value &&
    !internal::is_same<Packet, Eigen::bfloat16>::value
  >::type> (line 377) | struct eigen_optimization_barrier_test<Packet, typename internal::enable...
    method run (line 382) | static void run() {
  function packetmath (line 392) | void packetmath() {
  function Scalar (line 624) | Scalar log2(Scalar x) {
  function packetmath_real (line 629) | void packetmath_real() {
  function Scalar (line 986) | Scalar propagate_nan_max(const Scalar& a, const Scalar& b) {
  function Scalar (line 993) | Scalar propagate_nan_min(const Scalar& a, const Scalar& b) {
  function Scalar (line 1000) | Scalar propagate_number_max(const Scalar& a, const Scalar& b) {
  function Scalar (line 1007) | Scalar propagate_number_min(const Scalar& a, const Scalar& b) {
  function packetmath_notcomplex (line 1014) | void packetmath_notcomplex() {
  function test_conj_helper (line 1114) | void test_conj_helper(Scalar* data1, Scalar* data2, Scalar* ref, Scalar*...
  function packetmath_complex (line 1140) | void packetmath_complex() {
  function packetmath_scatter_gather (line 1213) | void packetmath_scatter_gather() {
  type Eigen (line 1248) | namespace Eigen {
    type test (line 1249) | namespace test {
      type runall<Scalar, PacketType, false, false> (line 1252) | struct runall<Scalar, PacketType, false, false> {  // i.e. float or ...
        method run (line 1253) | static void run() {
      type runall<Scalar, PacketType, false, true> (line 1262) | struct runall<Scalar, PacketType, false, true> {  // i.e. int
        method run (line 1263) | static void run() {
      type runall<Scalar, PacketType, true, false> (line 1271) | struct runall<Scalar, PacketType, true, false> {  // i.e. complex
        method run (line 1272) | static void run() {
  function EIGEN_DECLARE_TEST (line 1282) | EIGEN_DECLARE_TEST(packetmath) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/packetmath_test_shared.h
  function namespace (line 21) | namespace Eigen {
  function namespace (line 72) | namespace test {
  function Packet (line 148) | Packet load(const T* from) const { return internal::pload<Packet>(from); }
  function Packet (line 151) | Packet loadu(const T* from) const { return internal::ploadu<Packet>(from...
  function Packet (line 154) | Packet load(const T* from, unsigned long long umask) const { return inte...
  function store (line 157) | void store(T* to, const Packet& x) const { internal::pstore(to,x); }
  function store (line 160) | void store(T* to, const Packet& x, unsigned long long umask) const { int...
  function run (line 252) | static void run() {
  function run (line 261) | static void run() {
  function run (line 269) | static void run() {

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/pardiso_support.cpp
  function test_pardiso_T (line 8) | void test_pardiso_T()
  function EIGEN_DECLARE_TEST (line 23) | EIGEN_DECLARE_TEST(pardiso_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/pastix_support.cpp
  function test_pastix_T (line 17) | void test_pastix_T()
  function test_pastix_T_LU (line 42) | void test_pastix_T_LU()
  function EIGEN_DECLARE_TEST (line 48) | EIGEN_DECLARE_TEST(pastix_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/permutationmatrices.cpp
  function permutationmatrices (line 15) | void permutationmatrices(const MatrixType& m)
  function bug890 (line 146) | void bug890()
  function EIGEN_DECLARE_TEST (line 169) | EIGEN_DECLARE_TEST(permutationmatrices)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/prec_inverse_4x4.cpp
  function inverse_permutation_4x4 (line 14) | void inverse_permutation_4x4()
  function inverse_general_4x4 (line 29) | void inverse_general_4x4(int repeat)
  function EIGEN_DECLARE_TEST (line 70) | EIGEN_DECLARE_TEST(prec_inverse_4x4)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product.h
  type Matrix (line 37) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> RowVectorType;
  type Matrix (line 38) | typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> ColVectorType;
  type Matrix (line 39) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAt...
  type Matrix (line 40) | typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAt...
  type Matrix (line 41) | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::ColsAt...
  type Matrix (line 260) | typedef Matrix<Scalar,Dynamic,Dynamic> MatrixX;

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_extra.cpp
  function product_extra (line 12) | void product_extra(const MatrixType& m)
  function mat_mat_scalar_scalar_product (line 129) | void mat_mat_scalar_scalar_product()
  function zero_sized_objects (line 139) | void zero_sized_objects(const MatrixType& m)
  function bug_127 (line 198) | void bug_127()
  function bug_817 (line 222) | void bug_817()
  function unaligned_objects (line 232) | void unaligned_objects()
  function EIGEN_DONT_INLINE (line 262) | EIGEN_DONT_INLINE
  function Index (line 271) | Index compute_block_size()
  function aliasing_with_resize (line 285) | void aliasing_with_resize()
  function bug_1308 (line 329) | void bug_1308()
  function EIGEN_DECLARE_TEST (line 371) | EIGEN_DECLARE_TEST(product_extra)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_large.cpp
  function test_aliasing (line 14) | void test_aliasing()
  function product_large_regressions (line 35) | void product_large_regressions()
  function bug_1622 (line 92) | void bug_1622() {
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(product_large)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_mmtr.cpp
  function mmtr (line 28) | void mmtr(int size)
  function EIGEN_DECLARE_TEST (line 97) | EIGEN_DECLARE_TEST(product_mmtr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_notemporary.cpp
  function check_scalar_multiple3 (line 15) | void check_scalar_multiple3(Dst &dst, const Lhs& A, const Rhs& B)
  function check_scalar_multiple2 (line 26) | void check_scalar_multiple2(Dst &dst, const Lhs& A, const Rhs& B, S2 s2)
  function check_scalar_multiple1 (line 36) | void check_scalar_multiple1(Dst &dst, const Lhs& A, const Rhs& B, S1 s1,...

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_selfadjoint.cpp
  function product_selfadjoint (line 12) | void product_selfadjoint(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 62) | EIGEN_DECLARE_TEST(product_selfadjoint)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_small.cpp
  function product1x1 (line 15) | void product1x1()
  function TC (line 33) | const TC& ref_prod(TC &C, const TA &A, const TB &B)
  function test_lazy_single (line 43) | typename internal::enable_if<! ( (Rows ==1&&Depth!=1&&OA==ColMajor)
  function test_dynamic_bool (line 58) | void test_dynamic_bool()
  function test_lazy_single (line 83) | typename internal::enable_if<  ( (Rows ==1&&Depth!=1&&OA==ColMajor)
  function test_lazy_all_layout (line 94) | void test_lazy_all_layout(int rows=Rows, int cols=Cols, int depth=Depth)
  function test_lazy_l1 (line 107) | void test_lazy_l1()
  function test_lazy_l2 (line 136) | void test_lazy_l2()
  function test_lazy_l3 (line 172) | void test_lazy_l3()
  function test_linear_but_not_vectorizable (line 205) | void test_linear_but_not_vectorizable()
  function bug_1311 (line 237) | void bug_1311()
  function product_small_regressions (line 255) | void product_small_regressions()
  function EIGEN_DECLARE_TEST (line 284) | EIGEN_DECLARE_TEST(product_small)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_symm.cpp
  function symm (line 12) | void symm(int size = Size, int othersize = OtherSize)
  function EIGEN_DECLARE_TEST (line 111) | EIGEN_DECLARE_TEST(product_symm)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_syrk.cpp
  function syrk (line 12) | void syrk(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(product_syrk)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_trmm.cpp
  function get_random_size (line 13) | int get_random_size()
  function trmm (line 21) | void trmm(int rows=get_random_size<Scalar>(),
  function trmv (line 94) | void trmv(int rows=get_random_size<Scalar>(), int cols=get_random_size<S...
  function trmm (line 100) | void trmm(int rows=get_random_size<Scalar>(), int cols=get_random_size<S...
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(product_trmm)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_trmv.cpp
  function trmv (line 12) | void trmv(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 73) | EIGEN_DECLARE_TEST(product_trmv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/product_trsolve.cpp
  function trsolve (line 30) | void trsolve(int size=Size,int cols=Cols)
  function EIGEN_DECLARE_TEST (line 102) | EIGEN_DECLARE_TEST(product_trsolve)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/qr.cpp
  function qr (line 14) | void qr(const MatrixType& m)
  function qr_fixedsize (line 32) | void qr_fixedsize()
  function qr_invertible (line 48) | void qr_invertible()
  function qr_verify_assert (line 89) | void qr_verify_assert()
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(qr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/qr_colpivoting.cpp
  function cod (line 17) | void cod() {
  function cod_fixedsize (line 67) | void cod_fixedsize() {
  function qr (line 99) | void qr()
  function qr_fixedsize (line 161) | void qr_fixedsize()
  function qr_kahan_matrix (line 210) | void qr_kahan_matrix()
  function qr_invertible (line 250) | void qr_invertible()
  function qr_verify_assert (line 284) | void qr_verify_assert()
  function cod_verify_assert (line 303) | void cod_verify_assert()
  function EIGEN_DECLARE_TEST (line 322) | EIGEN_DECLARE_TEST(qr_colpivoting)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/qr_fullpivoting.cpp
  function qr (line 15) | void qr()
  function qr_invertible (line 70) | void qr_invertible()
  function qr_verify_assert (line 109) | void qr_verify_assert()
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(qr_fullpivoting)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/qtvector.cpp
  function check_qtvector_matrix (line 19) | void check_qtvector_matrix(const MatrixType& m)
  function check_qtvector_transform (line 59) | void check_qtvector_transform(const TransformType&)
  function check_qtvector_quaternion (line 94) | void check_qtvector_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 128) | EIGEN_DECLARE_TEST(qtvector)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/rand.cpp
  function Scalar (line 14) | Scalar check_in_range(Scalar x, Scalar y)
  function check_all_in_range (line 25) | void check_all_in_range(Scalar x, Scalar y)
  function check_histogram (line 40) | void check_histogram(Scalar x, Scalar y, int bins)
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(rand)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/random_matrix.cpp
  function check_generateRandomUnitaryMatrix (line 15) | void check_generateRandomUnitaryMatrix(const Index dim)
  function check_setupRandomSvs (line 27) | void check_setupRandomSvs(const Index dim, const RealScalarType max)
  function check_setupRangeSvs (line 42) | void check_setupRangeSvs(const Index dim, const RealScalarType min, cons...
  function check_generateRandomMatrixSvs (line 61) | void check_generateRandomMatrixSvs(const Index rows, const Index cols, c...
  function check_random_matrix (line 80) | void check_random_matrix(const MatrixType &m)
  function EIGEN_DECLARE_TEST (line 109) | EIGEN_DECLARE_TEST(random_matrix)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/random_matrix_helper.h
  function namespace (line 22) | namespace Eigen {
  function namespace (line 48) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/random_without_cast_overflow.h
  function namespace (line 13) | namespace Eigen {
  function SrcScalar (line 126) | static SrcScalar value() { return SrcScalar(random_without_cast_overflow...
  function SrcScalar (line 135) | static SrcScalar value() { return random_without_cast_overflow<SrcScalar...
  type typename (line 144) | typedef typename NumTraits<TgtScalar>::Real TgtReal;
  function SrcScalar (line 145) | static SrcScalar value() {

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/real_qz.cpp
  function real_qz (line 15) | void real_qz(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 78) | EIGEN_DECLARE_TEST(real_qz)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/redux.cpp
  function matrixRedux (line 17) | void matrixRedux(const MatrixType& m)
  function vectorRedux (line 85) | void vectorRedux(const VectorType& w)
  function EIGEN_DECLARE_TEST (line 154) | EIGEN_DECLARE_TEST(redux)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/ref.cpp
  function ref_matrix (line 33) | void ref_matrix(const MatrixType& m)
  function ref_vector (line 80) | void ref_vector(const VectorType& m)
  function ref_vector_fixed_sizes (line 142) | void ref_vector_fixed_sizes()
  function check_const_correctness (line 204) | void check_const_correctness(const PlainObjectType&)
  function EIGEN_DONT_INLINE (line 215) | EIGEN_DONT_INLINE void call_ref_1(Ref<VectorXf> a, const B &b) { VERIFY_...
  function EIGEN_DONT_INLINE (line 217) | EIGEN_DONT_INLINE void call_ref_2(const Ref<const VectorXf>& a, const B ...
  function EIGEN_DONT_INLINE (line 219) | EIGEN_DONT_INLINE void call_ref_3(Ref<VectorXf,0,InnerStride<> > a, cons...
  function EIGEN_DONT_INLINE (line 221) | EIGEN_DONT_INLINE void call_ref_4(const Ref<const VectorXf,0,InnerStride...
  function EIGEN_DONT_INLINE (line 223) | EIGEN_DONT_INLINE void call_ref_5(Ref<MatrixXf,0,OuterStride<> > a, cons...
  function EIGEN_DONT_INLINE (line 225) | EIGEN_DONT_INLINE void call_ref_6(const Ref<const MatrixXf,0,OuterStride...
  function EIGEN_DONT_INLINE (line 227) | EIGEN_DONT_INLINE void call_ref_7(Ref<Matrix<float,Dynamic,3> > a, const...
  function call_ref (line 229) | void call_ref()
  function test_ref_overload_fun1 (line 290) | int test_ref_overload_fun1(Ref<MatrixXd> )       { return 1; }
  function test_ref_overload_fun1 (line 291) | int test_ref_overload_fun1(Ref<RowMatrixXd> )    { return 2; }
  function test_ref_overload_fun1 (line 292) | int test_ref_overload_fun1(Ref<MatrixXf> )       { return 3; }
  function test_ref_overload_fun2 (line 294) | int test_ref_overload_fun2(Ref<const MatrixXd> ) { return 4; }
  function test_ref_overload_fun2 (line 295) | int test_ref_overload_fun2(Ref<const MatrixXf> ) { return 5; }
  function test_ref_ambiguous (line 297) | void test_ref_ambiguous(const Ref<const ArrayXd> &A, Ref<ArrayXd> B)
  function test_ref_overloads (line 304) | void test_ref_overloads()
  function EIGEN_DECLARE_TEST (line 320) | EIGEN_DECLARE_TEST(ref)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/reshape.cpp
  function is_same_eq (line 17) | typename internal::enable_if<internal::is_same<T1,T2>::value,bool>::type
  function check_auto_reshape4x4 (line 24) | void check_auto_reshape4x4(MatType m)
  function check_direct_access_reshape4x4 (line 56) | void check_direct_access_reshape4x4(MatType , internal::FixedInt<RowMajo...
  function check_direct_access_reshape4x4 (line 59) | void check_direct_access_reshape4x4(MatType m, internal::FixedInt<0>) {
  function reshape4x4 (line 70) | void reshape4x4(MatType m)
  function EIGEN_DECLARE_TEST (line 199) | EIGEN_DECLARE_TEST(reshape)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/resize.cpp
  function resizeLikeTest (line 13) | void resizeLikeTest()
  function resizeLikeTest12 (line 32) | void resizeLikeTest12() { resizeLikeTest<1,2>(); }
  function resizeLikeTest1020 (line 33) | void resizeLikeTest1020() { resizeLikeTest<10,20>(); }
  function resizeLikeTest31 (line 34) | void resizeLikeTest31() { resizeLikeTest<3,1>(); }
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(resize)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/rvalue_types.cpp
  function rvalue_copyassign (line 24) | void rvalue_copyassign(const MatrixType& m)
  function rvalue_transpositions (line 51) | void rvalue_transpositions(Index rows)
  function rvalue_move (line 84) | void rvalue_move(const MatrixType& m)
  function rvalue_copyassign (line 119) | void rvalue_copyassign(const MatrixType&) {}
  function rvalue_transpositions (line 121) | void rvalue_transpositions(Index) {}
  function rvalue_move (line 123) | void rvalue_move(const MatrixType&) {}
  function EIGEN_DECLARE_TEST (line 126) | EIGEN_DECLARE_TEST(rvalue_types)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/schur_complex.cpp
  function schur (line 14) | void schur(int size = MatrixType::ColsAtCompileTime)
  function EIGEN_DECLARE_TEST (line 82) | EIGEN_DECLARE_TEST(schur_complex)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/schur_real.cpp
  function verifyIsQuasiTriangular (line 14) | void verifyIsQuasiTriangular(const MatrixType& T)
  function schur (line 38) | void schur(int size = MatrixType::ColsAtCompileTime)
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(schur_real)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/selfadjoint.cpp
  function selfadjoint (line 16) | void selfadjoint(const MatrixType& m)
  function bug_159 (line 50) | void bug_159()
  function EIGEN_DECLARE_TEST (line 56) | EIGEN_DECLARE_TEST(selfadjoint)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/serializer.cpp
  type MyPodType (line 15) | struct MyPodType {
  function test_pod_type (line 22) | void test_pod_type() {
  function test_eigen_type (line 47) | void test_eigen_type(const T& type) {
  function test_dense_types (line 69) | void test_dense_types(const T1& type1, const T2& type2, const T3& type3) {
  function EIGEN_DECLARE_TEST (line 93) | EIGEN_DECLARE_TEST(serializer)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/simplicial_cholesky.cpp
  function test_simplicial_cholesky_T (line 12) | void test_simplicial_cholesky_T()
  function EIGEN_DECLARE_TEST (line 42) | EIGEN_DECLARE_TEST(simplicial_cholesky)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sizeof.cpp
  function verifySizeOf (line 12) | void verifySizeOf(const MatrixType&)
  function EIGEN_DECLARE_TEST (line 21) | EIGEN_DECLARE_TEST(sizeof)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sizeoverflow.cpp
  function triggerMatrixBadAlloc (line 22) | void triggerMatrixBadAlloc(Index rows, Index cols)
  function triggerVectorBadAlloc (line 30) | void triggerVectorBadAlloc(Index size)
  function EIGEN_DECLARE_TEST (line 37) | EIGEN_DECLARE_TEST(sizeoverflow)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/smallvectors.cpp
  function smallVectors (line 12) | void smallVectors()
  function EIGEN_DECLARE_TEST (line 42) | EIGEN_DECLARE_TEST(smallvectors)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparseLM.cpp
  type sparseGaussianTest (line 21) | struct sparseGaussianTest : SparseFunctor<Scalar, int>
    method sparseGaussianTest (line 26) | sparseGaussianTest(int inputs, int values) : SparseFunctor<Scalar,int>...
    method VectorType (line 29) | VectorType model(const VectorType& uv, VectorType& x)
    method initPoints (line 54) | void initPoints(VectorType& uv_ref, VectorType& x)
    method df (line 83) | int df(const VectorType& uv, JacobianType& fjac)
  function test_sparseLM_T (line 129) | void test_sparseLM_T()
  function EIGEN_DECLARE_TEST (line 171) | EIGEN_DECLARE_TEST(sparseLM)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_basic.cpp
  function sparse_basic (line 24) | void sparse_basic(const SparseMatrixType& ref)
  function big_sparse_triplet (line 685) | void big_sparse_triplet(Index rows, Index cols, double density) {
  function bug1105 (line 711) | void bug1105()
  function EIGEN_DECLARE_TEST (line 727) | EIGEN_DECLARE_TEST(sparse_basic)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_block.cpp
  function innervec (line 14) | typename Eigen::internal::enable_if<(T::Flags&RowMajorBit)==RowMajorBit,...
  function innervec (line 21) | typename Eigen::internal::enable_if<(T::Flags&RowMajorBit)==0, typename ...
  function sparse_block (line 27) | void sparse_block(const SparseMatrixType& ref)
  function EIGEN_DECLARE_TEST (line 293) | EIGEN_DECLARE_TEST(sparse_block)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_permutations.cpp
  function is_sorted (line 23) | bool is_sorted(const T& mat) {
  function eval (line 38) | typename internal::nested_eval<T,1>::type eval(const T &xpr)
  function sparse_permutations (line 44) | void sparse_permutations(const SparseMatrixType& ref)
  function sparse_permutations_all (line 215) | void sparse_permutations_all(int size)
  function EIGEN_DECLARE_TEST (line 223) | EIGEN_DECLARE_TEST(sparse_permutations)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_product.cpp
  function on_temporary_creation (line 18) | inline void on_temporary_creation() {
  function sparse_product (line 36) | void sparse_product()
  function sparse_product_regression_test (line 338) | void sparse_product_regression_test()
  function bug_942 (line 360) | void bug_942()
  function test_mixing_types (line 383) | void test_mixing_types()
  function EIGEN_DECLARE_TEST (line 464) | EIGEN_DECLARE_TEST(sparse_product)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_ref.cpp
  function on_temporary_creation (line 17) | inline void on_temporary_creation() {
  function check_const_correctness (line 34) | void check_const_correctness(const PlainObjectType&)
  function EIGEN_DONT_INLINE (line 45) | EIGEN_DONT_INLINE void call_ref_1(Ref<SparseMatrix<float> > a, const B &...
  function EIGEN_DONT_INLINE (line 48) | EIGEN_DONT_INLINE void call_ref_2(const Ref<const SparseMatrix<float> >&...
  function EIGEN_DONT_INLINE (line 51) | EIGEN_DONT_INLINE void call_ref_3(const Ref<const SparseMatrix<float>, S...
  function EIGEN_DONT_INLINE (line 57) | EIGEN_DONT_INLINE void call_ref_4(Ref<SparseVector<float> > a, const B &...
  function EIGEN_DONT_INLINE (line 60) | EIGEN_DONT_INLINE void call_ref_5(const Ref<const SparseVector<float> >&...
  function call_ref (line 62) | void call_ref()
  function EIGEN_DECLARE_TEST (line 129) | EIGEN_DECLARE_TEST(sparse_ref)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_solver.h
  type typename (line 47) | typedef typename Mat::StorageIndex StorageIndex;
  type typename (line 152) | typedef typename Eigen::SparseMatrix<Scalar> Mat;
  type typename (line 153) | typedef typename Mat::StorageIndex StorageIndex;
  type typename (line 154) | typedef typename Eigen::SparseLU<Eigen::SparseMatrix<Scalar> > Solver;
  type typename (line 281) | typedef typename Solver::MatrixType Mat;
  type typename (line 282) | typedef typename Mat::Scalar Scalar;
  type typename (line 283) | typedef typename Mat::RealScalar RealScalar;
  type typename (line 314) | typedef typename Solver::MatrixType Mat;
  type typename (line 315) | typedef typename Mat::Scalar Scalar;
  type typename (line 331) | typedef typename Solver::MatrixType Mat;
  type typename (line 332) | typedef typename Mat::Scalar Scalar;
  type typename (line 348) | typedef typename Solver::MatrixType Mat;
  type typename (line 349) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 350) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 406) | typedef typename Solver::MatrixType Mat;
  type typename (line 407) | typedef typename Mat::Scalar Scalar;
  type typename (line 408) | typedef typename Mat::StorageIndex StorageIndex;
  type SparseMatrix (line 409) | typedef SparseMatrix<Scalar,ColMajor, StorageIndex> SpMat;
  type Matrix (line 411) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 412) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type typename (line 491) | typedef typename Solver::MatrixType Mat;
  type typename (line 492) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 493) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 509) | typedef typename Solver::MatrixType Mat;
  type typename (line 510) | typedef typename Mat::Scalar Scalar;
  type prune_column (line 524) | struct prune_column {
  type typename (line 536) | typedef typename Solver::MatrixType Mat;
  type typename (line 537) | typedef typename Mat::Scalar Scalar;
  type SparseMatrix (line 538) | typedef SparseMatrix<Scalar,ColMajor, typename
  type SparseVector (line 539) | typedef SparseVector<Scalar, 0, typename
  type Matrix (line 540) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 541) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type typename (line 613) | typedef typename Solver::MatrixType Mat;
  type typename (line 614) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 615) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 636) | typedef typename Solver::MatrixType Mat;
  type typename (line 637) | typedef typename Mat::Scalar Scalar;
  type Matrix (line 638) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type typename (line 653) | typedef typename Solver::MatrixType Mat;
  type typename (line 654) | typedef typename Mat::Scalar Scalar;
  type typename (line 668) | typedef typename Solver::MatrixType Mat;
  type typename (line 669) | typedef typename Mat::Scalar Scalar;
  type SparseMatrix (line 670) | typedef SparseMatrix<Scalar,ColMajor, typename
  type Matrix (line 671) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 672) | typedef Matrix<Scalar,Dynamic,1> DenseVector;

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_solvers.cpp
  function initSPD (line 12) | void
  function sparse_solvers (line 33) | void sparse_solvers(int rows, int cols)
  function EIGEN_DECLARE_TEST (line 117) | EIGEN_DECLARE_TEST(sparse_solvers)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparse_vector.cpp
  function sparse_vector (line 12) | void sparse_vector(int rows, int cols)
  function EIGEN_DECLARE_TEST (line 148) | EIGEN_DECLARE_TEST(sparse_vector)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparselu.cpp
  function test_sparselu_T (line 22) | void test_sparselu_T()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(sparselu)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/sparseqr.cpp
  function generate_sparse_rectangular_problem (line 13) | int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int...
  function test_sparseqr_scalar (line 44) | void test_sparseqr_scalar()
  function EIGEN_DECLARE_TEST (line 141) | EIGEN_DECLARE_TEST(sparseqr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/special_numbers.cpp
  function special_numbers (line 12) | void special_numbers()
  function EIGEN_DECLARE_TEST (line 52) | EIGEN_DECLARE_TEST(special_numbers)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/spqr_support.cpp
  function generate_sparse_rectangular_problem (line 15) | int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int...
  function test_spqr_scalar (line 30) | void test_spqr_scalar()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(spqr_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stable_norm.cpp
  function EIGEN_DONT_INLINE (line 12) | EIGEN_DONT_INLINE T copy(const T& x)
  function stable_norm (line 17) | void stable_norm(const MatrixType& m)
  function test_hypot (line 199) | void test_hypot()
  function EIGEN_DECLARE_TEST (line 229) | EIGEN_DECLARE_TEST(stable_norm)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stddeque.cpp
  function check_stddeque_matrix (line 16) | void check_stddeque_matrix(const MatrixType& m)
  function check_stddeque_transform (line 46) | void check_stddeque_transform(const TransformType&)
  function check_stddeque_quaternion (line 75) | void check_stddeque_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(stddeque)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stddeque_overload.cpp
  function check_stddeque_matrix (line 29) | void check_stddeque_matrix(const MatrixType& m)
  function check_stddeque_transform (line 64) | void check_stddeque_transform(const TransformType&)
  function check_stddeque_quaternion (line 98) | void check_stddeque_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(stddeque_overload)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stdlist.cpp
  function check_stdlist_matrix (line 16) | void check_stdlist_matrix(const MatrixType& m)
  function check_stdlist_transform (line 46) | void check_stdlist_transform(const TransformType&)
  function check_stdlist_quaternion (line 75) | void check_stdlist_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 103) | EIGEN_DECLARE_TEST(stdlist)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stdlist_overload.cpp
  function get (line 29) | typename Container::iterator get(Container & c, Position position)
  function set (line 37) | void set(Container & c, Position position, const Value & value)
  function check_stdlist_matrix (line 45) | void check_stdlist_matrix(const MatrixType& m)
  function check_stdlist_transform (line 86) | void check_stdlist_transform(const TransformType&)
  function check_stdlist_quaternion (line 126) | void check_stdlist_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 165) | EIGEN_DECLARE_TEST(stdlist_overload)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stdvector.cpp
  function check_stdvector_matrix (line 15) | void check_stdvector_matrix(const MatrixType& m)
  function check_stdvector_transform (line 51) | void check_stdvector_transform(const TransformType&)
  function check_stdvector_quaternion (line 86) | void check_stdvector_quaternion(const QuaternionType&)
  function std_vector_gcc_warning (line 123) | void std_vector_gcc_warning()
  function EIGEN_DECLARE_TEST (line 130) | EIGEN_DECLARE_TEST(stdvector)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stdvector_overload.cpp
  function check_stdvector_matrix (line 29) | void check_stdvector_matrix(const MatrixType& m)
  function check_stdvector_transform (line 65) | void check_stdvector_transform(const TransformType&)
  function check_stdvector_quaternion (line 100) | void check_stdvector_quaternion(const QuaternionType&)
  function EIGEN_DECLARE_TEST (line 134) | EIGEN_DECLARE_TEST(stdvector_overload)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/stl_iterators.cpp
  function make_reverse_iterator (line 15) | std::reverse_iterator<Iterator>
  function ForwardIt (line 23) | ForwardIt is_sorted_until(ForwardIt firstIt, ForwardIt lastIt)
  function is_sorted (line 36) | bool is_sorted(ForwardIt firstIt, ForwardIt lastIt)
  function is_pointer_based_stl_iterator (line 45) | bool is_pointer_based_stl_iterator(const internal::pointer_based_stl_ite...
  function is_generic_randaccess_stl_iterator (line 48) | bool is_generic_randaccess_stl_iterator(const internal::generic_randacce...
  function is_default_constructible_and_assignable (line 51) | bool is_default_constructible_and_assignable(const Iter& it)
  function check_begin_end_for_loop (line 63) | void check_begin_end_for_loop(Xpr xpr)
  function test_stl_iterators (line 123) | void test_stl_iterators(int rows=Rows, int cols=Cols)
  function IsContainerType (line 515) | bool IsContainerType(int /* dummy */) { return true; }
  function IsContainerType (line 518) | bool IsContainerType(long /* dummy */) { return false; }
  function test_stl_container_detection (line 521) | void test_stl_container_detection(int rows=Rows, int cols=Cols)
  function EIGEN_DECLARE_TEST (line 550) | EIGEN_DECLARE_TEST(stl_iterators)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/superlu_support.cpp
  function EIGEN_DECLARE_TEST (line 15) | EIGEN_DECLARE_TEST(superlu_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/svd_common.h
  type typename (line 35) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 36) | typedef typename MatrixType::RealScalar RealScalar;
  type Matrix (line 37) | typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime> MatrixUType;
  type Matrix (line 38) | typedef Matrix<Scalar, ColsAtCompileTime, ColsAtCompileTime> MatrixVType;
  type typename (line 63) | typedef typename MatrixType::RealScalar RealScalar;
  type typename (line 102) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 103) | typedef typename MatrixType::RealScalar RealScalar;
  type Matrix (line 112) | typedef Matrix<Scalar, RowsAtCompileTime, Dynamic> RhsType;
  type Matrix (line 113) | typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
  type typename (line 169) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 176) | typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
  type Matrix (line 183) | typedef Matrix<Scalar, RankAtCompileTime2, ColsAtCompileTime> MatrixType2;
  type Matrix (line 184) | typedef Matrix<Scalar, RankAtCompileTime2, 1> RhsType2;
  type Matrix (line 185) | typedef Matrix<Scalar, ColsAtCompileTime, RankAtCompileTime2> MatrixType2T;
  type Matrix (line 209) | typedef Matrix<Scalar, RowsAtCompileTime3, ColsAtCompileTime> MatrixType3;
  type Matrix (line 210) | typedef Matrix<Scalar, RowsAtCompileTime3, 1> RhsType3;
  type Matrix (line 238) | typedef Matrix<typename
  type typename (line 307) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 467) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 476) | typedef Matrix<Scalar, RowsAtCompileTime, 1> RhsType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/svd_fill.h
  type typename (line 24) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 25) | typedef typename MatrixType::RealScalar RealScalar;

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/swap.cpp
  type other_matrix_type (line 13) | struct other_matrix_type
  type other_matrix_type<Matrix<Scalar_, Rows_, Cols_, Options_, MaxRows_, MaxCols_> > (line 19) | struct other_matrix_type<Matrix<Scalar_, Rows_, Cols_, Options_, MaxRows...
  function check_row_swap (line 25) | typename internal::enable_if<(MatrixType::RowsAtCompileTime==1 || Matrix...
  function check_row_swap (line 34) | typename internal::enable_if<!(MatrixType::RowsAtCompileTime==1 || Matri...
  function swap (line 38) | void swap(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 93) | EIGEN_DECLARE_TEST(swap)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/symbolic_index.cpp
  function is_same_symb (line 27) | bool is_same_symb(const T1& a, const T2& b, Index size)
  function check_symbolic_index (line 44) | void check_symbolic_index()
  function EIGEN_DECLARE_TEST (line 84) | EIGEN_DECLARE_TEST(symbolic_index)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/triangular.cpp
  function triangular_deprecated (line 17) | void triangular_deprecated(const MatrixType &m)
  function triangular_square (line 40) | void triangular_square(const MatrixType& m)
  function triangular_rect (line 177) | void triangular_rect(const MatrixType& m)
  function bug_159 (line 259) | void bug_159()
  function EIGEN_DECLARE_TEST (line 265) | EIGEN_DECLARE_TEST(triangular)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/tuple_test.cpp
  function basic_tuple_test (line 18) | void basic_tuple_test() {
  function eigen_tuple_test (line 109) | void eigen_tuple_test() {
  function EIGEN_DECLARE_TEST (line 119) | EIGEN_DECLARE_TEST(tuple)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/type_alias.cpp
  function EIGEN_DECLARE_TEST (line 12) | EIGEN_DECLARE_TEST(type_alias)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/umeyama.cpp
  function randMatrixUnitary (line 22) | Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixUnitary(int s...
  function randMatrixSpecialUnitary (line 75) | Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> randMatrixSpecialUnitar...
  function run_test (line 91) | void run_test(int dim, int num_elements)
  function run_fixed_size_test (line 121) | void run_fixed_size_test(int num_elements)
  function EIGEN_DECLARE_TEST (line 158) | EIGEN_DECLARE_TEST(umeyama)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/umfpack_support.cpp
  function test_umfpack_support_T (line 15) | void test_umfpack_support_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(umfpack_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/unalignedcount.cpp
  function EIGEN_DECLARE_TEST (line 31) | EIGEN_DECLARE_TEST(unalignedcount)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/upperbidiagonalization.cpp
  function upperbidiag (line 13) | void upperbidiag(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 32) | EIGEN_DECLARE_TEST(upperbidiagonalization)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/vectorization_logic.cpp
  function test_assign (line 38) | bool test_assign(const Dst&, const Src&, int traversal, int unrolling)
  function test_assign (line 63) | bool test_assign(int traversal, int unrolling)
  function test_redux (line 84) | bool test_redux(const Xpr&, int traversal, int unrolling)
  type vectorization_logic (line 105) | struct vectorization_logic
    method run (line 115) | static void run()
  type vectorization_logic<Scalar,false> (line 264) | struct vectorization_logic<Scalar,false>
    method run (line 266) | static void run() {}
  type vectorization_logic_half (line 271) | struct vectorization_logic_half
    method run (line 278) | static void run()
  type vectorization_logic_half<Scalar,false> (line 389) | struct vectorization_logic_half<Scalar,false>
    method run (line 391) | static void run() {}
  function EIGEN_DECLARE_TEST (line 394) | EIGEN_DECLARE_TEST(vectorization_logic)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/vectorwiseop.cpp
  function vectorwiseop_array (line 15) | void vectorwiseop_array(const ArrayType& m)
  function vectorwiseop_matrix (line 100) | void vectorwiseop_matrix(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 226) | EIGEN_DECLARE_TEST(vectorwiseop)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/visitor.cpp
  function matrixVisitor (line 12) | void matrixVisitor(const MatrixType& p)
  function vectorVisitor (line 99) | void vectorVisitor(const VectorType& w)
  function EIGEN_DECLARE_TEST (line 176) | EIGEN_DECLARE_TEST(visitor)

FILE: extensions/ngp_raymarch/include/op_include/eigen/test/zerosized.cpp
  function zeroReduction (line 13) | void zeroReduction(const MatrixType& m) {
  function zeroSizedMatrix (line 34) | void zeroSizedMatrix()
  function zeroSizedVector (line 77) | void zeroSizedVector()
  function EIGEN_DECLARE_TEST (line 93) | EIGEN_DECLARE_TEST(zerosized)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/Tensor.h
  function namespace (line 16) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 118) | EIGEN_STRONG_INLINE const Scalar& coeff(Index firstIndex, Index secondIn...
  function Scalar (line 127) | const Scalar& coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 144) | const Scalar& coeff() const
  function Scalar (line 206) | const Scalar& operator()(Index i0, Index i1) const
  function Scalar (line 211) | const Scalar& operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 216) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 221) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i...
  function Scalar (line 239) | const Scalar& operator()(const array<Index, NumIndices>& indices) const
  function Scalar (line 244) | const Scalar& operator()(Index index) const
  function Scalar (line 250) | const Scalar& operator()() const
  function m_storage (line 337) | Tensor(const Self& other)
  function EIGEN_STRONG_INLINE (line 344) | EIGEN_STRONG_INLINE Tensor(Index firstDimension, IndexTypes... otherDime...
  function explicit (line 351) | explicit Tensor(Index dim1)
  function EIGEN_DEVICE_FUNC (line 356) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2)
  function EIGEN_DEVICE_FUNC (line 361) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function EIGEN_DEVICE_FUNC (line 366) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function EIGEN_DEVICE_FUNC (line 371) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Ind...
  function explicit (line 379) | explicit Tensor(const array<Index, NumIndices>& dimensions)
  type TensorAssignOp (line 399) | typedef TensorAssignOp<Tensor, const
  type TensorAssignOp (line 422) | typedef TensorAssignOp<Tensor, const
  function resize (line 441) | void resize(Index firstDimension, IndexTypes... otherDimensions)
  function EIGEN_DEVICE_FUNC (line 450) | EIGEN_DEVICE_FUNC void resize(const array<Index, NumIndices>& dimensions)
  function EIGEN_DEVICE_FUNC (line 468) | EIGEN_DEVICE_FUNC void resize(const DSizes<Index, NumIndices>& dimension...
  function EIGEN_DEVICE_FUNC (line 476) | EIGEN_DEVICE_FUNC
  function resize (line 486) | void resize(const Eigen::IndexList<FirstType, OtherTypes...>& dimensions) {
  function resize (line 517) | size_t V5>
  function Index (line 549) | Index linearizedIndex(const array<Index, NumIndices>& indices) const

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorArgMax.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorIndexPairOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorIndexPairOp>::StorageKind...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorIndexPairOp>::Index Index;
  type Pair (line 63) | typedef Pair<Index, typename
  function m_xpr (line 65) | TensorIndexPairOp(const XprType& expr)
  type typename (line 81) | typedef typename XprType::Index Index;
  type typename (line 82) | typedef typename XprType::Scalar Scalar;
  type typename (line 83) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 85) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 87) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 88) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 101) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 104) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 111) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 115) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 119) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 124) | TensorOpCost
  function bind (line 132) | void bind(cl::sycl::handler &cgh) const {
  function namespace (line 141) | namespace internal {
  type TensorPairReducerOp (line 165) | typedef const TensorPairReducerOp<ReduceOp, Dims, XprType>EIGEN_DEVICE_R...
  type typename (line 181) | typedef typename Eigen::internal::traits<TensorPairReducerOp>::Scalar Sc...
  type typename (line 182) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 183) | typedef typename Eigen::internal::nested<TensorPairReducerOp>::type Nested;
  type typename (line 184) | typedef typename Eigen::internal::traits<TensorPairReducerOp>::StorageKi...
  type typename (line 185) | typedef typename Eigen::internal::traits<TensorPairReducerOp>::Index Index;
  type Index (line 186) | typedef Index CoeffReturnType;
  type typename (line 219) | typedef typename XprType::Index Index;
  type typename (line 220) | typedef typename XprType::Scalar Scalar;
  type typename (line 221) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 222) | typedef typename TensorIndexPairOp<ArgType>::CoeffReturnType PairType;
  type typename (line 223) | typedef typename TensorEvaluator<const TensorReductionOp<ReduceOp, Dims,...
  type typename (line 224) | typedef typename TensorEvaluator<const TensorIndexPairOp<ArgType> , Devi...
  type array (line 226) | typedef array<Index, NumDims> StrideDims;
  type StorageMemory (line 227) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 228) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 229) | typedef StorageMemory<PairType, Device> PairStorageMem;
  type internal (line 242) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 268) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 272) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 276) | CoeffReturnType coeff(Index index) const {
  function bind (line 283) | void bind(cl::sycl::handler &cgh) const {
  function TensorOpCost (line 289) | TensorOpCost

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 67) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 68) | typedef typename LhsXprType::CoeffReturnType CoeffReturnType;
  type typename (line 69) | typedef typename Eigen::internal::nested<TensorAssignOp>::type Nested;
  type typename (line 70) | typedef typename Eigen::internal::traits<TensorAssignOp>::StorageKind St...
  type typename (line 71) | typedef typename Eigen::internal::traits<TensorAssignOp>::Index Index;
  type typename (line 97) | typedef typename XprType::Index Index;
  type typename (line 98) | typedef typename XprType::Scalar Scalar;
  type typename (line 99) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 100) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 101) | typedef typename TensorEvaluator<RightArgType, Device>::Dimensions Dimen...
  type StorageMemory (line 102) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 103) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 122) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 123) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 125) | typedef typename TensorEvaluator<const RightArgType, Device>::TensorBlock
  function EIGEN_STRONG_INLINE (line 147) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 159) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 168) | EIGEN_STRONG_INLINE void cleanup() {
  function evalScalar (line 173) | void evalScalar(Index i) {
  function evalPacket (line 176) | void evalPacket(Index i) {
  function EIGEN_DEVICE_FUNC (line 182) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 187) | PacketReturnType packet(Index index) const
  function TensorOpCost (line 192) | TensorOpCost
  function evalBlock (line 212) | void evalBlock(
  function bind (line 233) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
  function namespace (line 17) | namespace Eigen {
  type Eigen (line 606) | typedef Eigen::IndexPair<Index> DimensionPair;
  type TensorScanOp (line 635) | typedef TensorScanOp<internal::SumReducer<CoeffReturnType>, const
  type TensorScanOp (line 642) | typedef TensorScanOp<internal::ProdReducer<CoeffReturnType>, const
  function TensorLayoutSwapOp (line 879) | const TensorLayoutSwapOp<const Derived>
  function TensorIndexPairOp (line 942) | const TensorIndexPairOp<const Derived>
  type TensorAssignOp (line 1172) | typedef TensorAssignOp<Derived, const

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlock.h
  function namespace (line 13) | namespace Eigen {
  function TensorBlockShapeType (line 75) | enum class TensorBlockShapeType { kUniformAllDims, kSkewedInnerDims };
  function class (line 204) | class DestinationBuffer {
  function IndexType (line 302) | IndexType dimension(int index) const { return m_dimensions[index]; }
  function TensorBlockDescriptor (line 333) | TensorBlockDescriptor WithOffset(IndexType offset) const {
  type TensorBlockDescriptor (line 350) | typedef TensorBlockDescriptor<NumDims, IndexType> BlockDescriptor;
  function BlockDescriptor (line 376) | BlockDescriptor
  function reset (line 574) | void reset() { m_allocation_index = 0; }
  type Allocation (line 577) | struct Allocation {
  type TensorBlockKind (line 591) | enum TensorBlockKind {
  function class (line 619) | class TensorBlockNotImplemented {
  type typename (line 631) | typedef typename XprType::Scalar type;
  function void (line 634) | struct XprScalar<void> {
  type TensorMap (line 661) | typedef TensorMap<const Tensor<Scalar, NumDims, Layout> > XprType;
  function XprType (line 679) | const XprType& expr() const {
  function cleanup (line 684) | void cleanup() {}
  type internal (line 686) | typedef internal::TensorBlockDescriptor<NumDims, IndexType> TensorBlockD...
  function class (line 696) | class Storage {
  function TensorMaterializedBlock (line 764) | static TensorMaterializedBlock materialize(
  type typename (line 847) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 852) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 855) | const Scalar* data() const { return NULL; }
  function cleanup (line 856) | void cleanup() { m_arg_block.cleanup(); }
  type typename (line 880) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 889) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 895) | const Scalar* data() const { return NULL; }
  function cleanup (line 897) | void cleanup() {
  type typename (line 915) | typedef typename ArgTensorBlock::XprType ArgXprType;
  type typename (line 923) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 929) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 931) | const Scalar* data() const { return NULL; }
  function cleanup (line 932) | void cleanup() { m_arg_block.cleanup(); }
  type typename (line 946) | typedef typename Arg1TensorBlock::XprType Arg1XprType;
  type typename (line 947) | typedef typename Arg2TensorBlock::XprType Arg2XprType;
  type typename (line 948) | typedef typename Arg3TensorBlock::XprType Arg3XprType;
  type typename (line 960) | typedef typename XprScalar<XprType>::type Scalar;
  function TensorBlockKind (line 971) | TensorBlockKind kind() const { return internal::TensorBlockKind::kExpr; }
  function Scalar (line 976) | const Scalar* data() const { return NULL; }
  function cleanup (line 977) | void cleanup() {
  type typename (line 996) | typedef typename packet_traits<Scalar>::type Packet;
  type class (line 1004) | enum class
  type Dst (line 1013) | struct Dst {
  type Src (line 1021) | struct Src {
  function Run (line 1031) | void Run(const Dst& dst,
  function Run (line 1040) | void Run(
  type StridedLinearBufferCopy (line 1148) | typedef StridedLinearBufferCopy<Scalar, IndexType> LinCopy;
  type DSizes (line 1152) | typedef DSizes<int, NumDims> DimensionsMap;
  type Dst (line 1154) | struct Dst {
  type Src (line 1165) | struct Src {
  function IndexType (line 1180) | IndexType Copy(
  function IndexType (line 1323) | IndexType Copy(const Dst& dst,
  type BlockIteratorState (line 1331) | struct BlockIteratorState {
  type Target (line 1437) | struct Target {
  function Run (line 1467) | void Run(

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBroadcasting.h
  function namespace (line 15) | namespace Eigen {
  function Sizes (line 56) | struct is_input_scalar<Sizes<> > {
  type is_input_scalar (line 61) | struct is_input_scalar
  type typename (line 75) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 76) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 77) | typedef typename Eigen::internal::nested<TensorBroadcastingOp>::type Nes...
  type typename (line 78) | typedef typename Eigen::internal::traits<TensorBroadcastingOp>::StorageK...
  type typename (line 79) | typedef typename Eigen::internal::traits<TensorBroadcastingOp>::Index In...
  type typename (line 102) | typedef typename XprType::Index Index;
  type DSizes (line 104) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 105) | typedef typename XprType::Scalar Scalar;
  type typename (line 106) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type typename (line 107) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 108) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 114) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 125) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 132) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 133) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 135) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 138) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 215) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 222) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 228) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 232) | CoeffReturnType coeff(Index index) const
  function Index (line 254) | Index indexColMajor(Index index) const {
  function CoeffReturnType (line 284) | CoeffReturnType coeffColMajor(Index index) const
  function Index (line 289) | Index indexRowMajor(Index index) const {
  function CoeffReturnType (line 319) | CoeffReturnType coeffRowMajor(Index index) const
  function EIGEN_ALWAYS_INLINE (line 325) | EIGEN_ALWAYS_INLINE PacketReturnType packet(Index index) const
  function EIGEN_STRONG_INLINE (line 370) | EIGEN_STRONG_INLINE PacketReturnType packetOneByNByOne
  function EIGEN_STRONG_INLINE (line 413) | EIGEN_STRONG_INLINE PacketReturnType packetOneByN(Index index) const
  function EIGEN_STRONG_INLINE (line 442) | EIGEN_STRONG_INLINE PacketReturnType packetNByOne(Index index) const
  function EIGEN_STRONG_INLINE (line 477) | EIGEN_STRONG_INLINE PacketReturnType packetColMajor(Index index) const
  function EIGEN_STRONG_INLINE (line 535) | EIGEN_STRONG_INLINE PacketReturnType packetRowMajor(Index index) const
  type BlockBroadcastingParams (line 723) | struct BlockBroadcastingParams {
  type BlockBroadcastingIteratorState (line 744) | struct BlockBroadcastingIteratorState {
  function BlockBroadcastingParams (line 751) | BlockBroadcastingParams
  function Index (line 848) | Index BroadcastBlockAlongBcastDim(
  function Index (line 1015) | Index BroadcastBlock(

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 55) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DimensionId(DenseIndex dim) {
  function Dynamic (line 64) | struct DimensionId<Dynamic>
  type typename (line 86) | typedef typename Eigen::internal::traits<TensorChippingOp>::Scalar Scalar;
  type typename (line 87) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 88) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 89) | typedef typename Eigen::internal::nested<TensorChippingOp>::type Nested;
  type typename (line 90) | typedef typename Eigen::internal::traits<TensorChippingOp>::StorageKind ...
  type typename (line 91) | typedef typename Eigen::internal::traits<TensorChippingOp>::Index Index;
  type typename (line 122) | typedef typename XprType::Index Index;
  type DSizes (line 123) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 124) | typedef typename XprType::Scalar Scalar;
  type typename (line 125) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 126) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 128) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 129) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 153) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 156) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 157) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type internal (line 159) | typedef internal::TensorBlockDescriptor<NumInputDims, Index>
  type typename (line 161) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 164) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 205) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 210) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 214) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 220) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 261) | TensorOpCost
  type TensorChippingOp (line 416) | typedef TensorChippingOp<DimId, ArgType> XprType;
  type typename (line 419) | typedef typename XprType::Index Index;
  type DSizes (line 420) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 421) | typedef typename XprType::Scalar Scalar;
  type typename (line 422) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 423) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 435) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  function EIGEN_STRONG_INLINE (line 438) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function writePacket (line 448) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 487) | void writeBlock(

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConcatenation.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 66) | typedef typename internal::traits<TensorConcatenationOp>::Scalar Scalar;
  type typename (line 67) | typedef typename internal::traits<TensorConcatenationOp>::StorageKind St...
  type typename (line 68) | typedef typename internal::traits<TensorConcatenationOp>::Index Index;
  type typename (line 69) | typedef typename internal::nested<TensorConcatenationOp>::type Nested;
  type typename (line 70) | typedef typename internal::promote_storage_type<typename
  type typename (line 72) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 100) | typedef typename XprType::Index Index;
  type DSizes (line 103) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 104) | typedef typename XprType::Scalar Scalar;
  type typename (line 105) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 106) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 107) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 108) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 121) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 177) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType)
  function EIGEN_STRONG_INLINE (line 184) | EIGEN_STRONG_INLINE void cleanup()
  function CoeffReturnType (line 192) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 250) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 265) | TensorOpCost
  function bind (line 284) | void bind(cl::sycl::handler &cgh) const {
  type TensorConcatenationOp (line 306) | typedef TensorConcatenationOp<Axis, LeftArgType, RightArgType> XprType;
  type typename (line 307) | typedef typename Base::Dimensions Dimensions;
  type internal (line 320) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 323) | EIGEN_STRONG_INLINE TensorEvaluator(XprType& op, const Device& device)
  type typename (line 329) | typedef typename XprType::Index Index;
  type typename (line 330) | typedef typename XprType::Scalar Scalar;
  type typename (line 331) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 332) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  function writePacket (line 363) | void writePacket(Index index, const PacketReturnType& x)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
  function namespace (line 15) | namespace Eigen {
  type LeftArgType_ (line 70) | typedef LeftArgType_ LeftArgType;
  type RightArgType_ (line 71) | typedef RightArgType_ RightArgType;
  type OutputKernelType_ (line 72) | typedef OutputKernelType_ OutputKernelType;
  type Device_ (line 73) | typedef Device_ Device;
  function BlockMemHandle (line 85) | static BlockMemHandle allocate(Device& d, const Index bm,
  function BlockMemHandle (line 101) | static BlockMemHandle allocateSlices(
  function deallocate (line 133) | static void deallocate(Device& d, BlockMemHandle handle) {
  type BlockSizes (line 138) | struct BlockSizes {
  function EIGEN_DEVICE_FUNC (line 142) | EIGEN_DEVICE_FUNC static BlockSizes ComputeLhsRhsBlockSizes(const Index bm,
  type RhsScalar (line 196) | typedef RhsScalar* RhsBlock;
  type TensorContractionBlockMemAllocator (line 199) | typedef TensorContractionBlockMemAllocator<LhsScalar, RhsScalar>
  type typename (line 201) | typedef typename BlockMemAllocator::BlockMemHandle BlockMemHandle;
  type typename (line 203) | typedef typename internal::gebp_traits<LhsScalar, RhsScalar> Traits;
  type internal (line 205) | typedef internal::gemm_pack_lhs<
  type internal (line 210) | typedef internal::gemm_pack_rhs<RhsScalar, StorageIndex,
  type internal (line 215) | typedef internal::gebp_kernel<LhsScalar, RhsScalar, StorageIndex,
  function deallocate (line 236) | static void deallocate(Device& d, BlockMemHandle handle) {
  function packLhs (line 240) | void packLhs(
  function packRhs (line 247) | void packRhs(
  function invoke (line 253) | void invoke(
  type TensorContractionParams (line 283) | struct TensorContractionParams {
  type NoOpOutputKernel (line 296) | struct NoOpOutputKernel {
  type typename (line 331) | typedef typename internal::gebp_traits<typename
  type typename (line 333) | typedef typename Eigen::internal::nested<TensorContractionOp>::type Nested;
  type typename (line 334) | typedef typename Eigen::internal::traits<TensorContractionOp>::StorageKi...
  type typename (line 335) | typedef typename Eigen::internal::traits<TensorContractionOp>::Index Index;
  type typename (line 369) | typedef typename internal::traits<Derived>::Indices Indices;
  type typename (line 370) | typedef typename internal::traits<Derived>::LeftArgType LeftArgType;
  type typename (line 371) | typedef typename internal::traits<Derived>::RightArgType RightArgType;
  type typename (line 372) | typedef typename internal::traits<Derived>::OutputKernelType OutputKerne...
  type typename (line 373) | typedef typename internal::traits<Derived>::Device Device;
  type TensorContractionOp (line 375) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 376) | typedef typename internal::remove_const<typename
  type typename (line 377) | typedef typename XprType::Index Index;
  type typename (line 378) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 379) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 380) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 381) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 394) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 401) | typedef typename internal::conditional<
  type typename (line 403) | typedef typename internal::conditional<
  type TensorEvaluator (line 406) | typedef TensorEvaluator<EvalLeftArgType, Device> LeftEvaluatorType;
  type TensorEvaluator (line 407) | typedef TensorEvaluator<EvalRightArgType, Device> RightEvaluatorType;
  type array (line 416) | typedef array<Index, ContractDims> contract_t;
  type array (line 417) | typedef array<Index, LDims
  type array (line 418) | typedef array<Index, RDims
  type DSizes (line 420) | typedef DSizes<Index, NumDims> Dimensions;
  function EIGEN_STRONG_INLINE (line 607) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 622) | void evalSubExprsIfNeededAsync(
  function EIGEN_DEVICE_FUNC (line 704) | EIGEN_DEVICE_FUNC void evalTo(Scalar* buffer) const {
  function evalGemv (line 734) | void evalGemv(Scalar* buffer) const {
  function evalGemm (line 783) | void evalGemm(Scalar* buffer) const {
  function evalGemmPartialWithoutOutputKernel (line 794) | void evalGemmPartialWithoutOutputKernel(
  function evalGemmPartial (line 803) | void evalGemmPartial(Scalar* buffer, Index k_start, Index k_end, int num...
  function EIGEN_STRONG_INLINE (line 917) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 927) | CoeffReturnType coeff(Index index) const {
  function TensorOpCost (line 931) | TensorOpCost costPerCoeff(bool) const {
  function EIGEN_STRONG_INLINE (line 936) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const {
  type TensorContractionEvaluatorBase (line 978) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 980) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 981) | typedef typename internal::remove_const<typename
  type typename (line 982) | typedef typename XprType::Index Index;
  type typename (line 983) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 984) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 994) | typedef typename internal::conditional<
  type typename (line 996) | typedef typename internal::conditional<
  type array (line 1005) | typedef array<Index, ContractDims> contract_t;
  type array (line 1006) | typedef array<Index, LDims
  type array (line 1007) | typedef array<Index, RDims
  type DSizes (line 1012) | typedef DSizes<Index, NumDims> Dimensions;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionBlocking.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionGpu.h
  function namespace (line 19) | namespace Eigen {
  function EigenFloatContractionKernelInternal16x16 (line 536) | void
  function EigenFloatContractionKernelInternal (line 776) | void
  type float2 (line 1151) | typedef float2 LHS_MEM[64][32];
  type float2 (line 1152) | typedef float2 RHS_MEM[128][8];
  type TensorEvaluator (line 1226) | typedef TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, ...
  type TensorContractionEvaluatorBase (line 1227) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 1229) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 1230) | typedef typename internal::remove_const<typename
  type typename (line 1231) | typedef typename XprType::Index Index;
  type typename (line 1232) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1233) | typedef typename PacketType<CoeffReturnType, GpuDevice>::type PacketRetu...
  type typename (line 1243) | typedef typename internal::conditional<
  type typename (line 1245) | typedef typename internal::conditional<
  type array (line 1254) | typedef array<Index, LDims> left_dim_mapper_t;
  type array (line 1255) | typedef array<Index, RDims> right_dim_mapper_t;
  type array (line 1257) | typedef array<Index, ContractDims> contract_t;
  type array (line 1258) | typedef array<Index, LDims
  type array (line 1259) | typedef array<Index, RDims
  type DSizes (line 1263) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 1266) | typedef typename internal::remove_const<typename
  type typename (line 1267) | typedef typename internal::remove_const<typename
  type TensorEvaluator (line 1269) | typedef TensorEvaluator<EvalLeftArgType, Device> LeftEvaluator;
  type TensorEvaluator (line 1270) | typedef TensorEvaluator<EvalRightArgType, Device> RightEvaluator;
  type typename (line 1272) | typedef typename LeftEvaluator::Dimensions LeftDimensions;
  type typename (line 1273) | typedef typename RightEvaluator::Dimensions RightDimensions;
  function EIGEN_STRONG_INLINE (line 1283) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
  function evalTo (line 1296) | void evalTo(Scalar* buffer) const {
  function Run (line 1336) | static void Run(const LhsMapper& lhs, const RhsMapper& rhs, const Output...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionMapper.h
  function namespace (line 15) | namespace Eigen {
  function bind (line 102) | void bind(cl::sycl::handler &cgh) const {
  function offsetBuffer (line 134) | void offsetBuffer(typename Tensor::Index offset) {
  function prefetch (line 139) | void prefetch(Index /*i*/) { }
  function Scalar (line 142) | Scalar operator()(Index row) const {
  function Scalar (line 148) | Scalar operator()(Index row, Index col) const {
  function Index (line 153) | Index computeIndex(Index row, Index col) const {
  function Index (line 243) | Index firstAligned(Index size) const {
  function bind (line 255) | void bind(cl::sycl::handler &cgh) const {
  function EIGEN_DEVICE_FUNC (line 289) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 368) | EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_DEVICE_FUNC (line 385) | EIGEN_DEVICE_FUNC
  function EIGEN_STRONG_INLINE (line 394) | EIGEN_STRONG_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_STRONG_INLINE (line 400) | EIGEN_STRONG_INLINE PacketT load(Index i, Index j) const {
  type TensorContractionSubMapper (line 417) | typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontra...
  type Self (line 418) | typedef Self LinearMapper;
  function Scalar (line 436) | Scalar operator()(Index i) const {
  function Scalar (line 442) | Scalar operator()(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 450) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i) const {
  function EIGEN_ALWAYS_INLINE (line 458) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 466) | EIGEN_ALWAYS_INLINE PacketT loadPacket(Index i, Index j) const {
  function storePacket (line 474) | void storePacket(Index i, const PacketT& p) const {
  function LinearMapper (line 481) | LinearMapper getLinearMapper(Index i, Index j) const {
  function EIGEN_ALWAYS_INLINE (line 489) | EIGEN_ALWAYS_INLINE PacketT load(Index i) const {
  function aligned (line 499) | bool aligned(Index) const {
  function bind (line 505) | void bind(cl::sycl::handler &cgh) const {
  type BaseTensorContractionMapper (line 531) | typedef BaseTensorContractionMapper<Scalar, Index, side, Tensor, nocontr...
  type TensorContractionSubMapper (line 532) | typedef TensorContractionSubMapper<Scalar, Index, side, Tensor, nocontra...
  type SubMapper (line 533) | typedef SubMapper VectorMapper;
  function EIGEN_DEVICE_FUNC (line 535) | EIGEN_DEVICE_FUNC TensorContractionInputMapper(const Tensor& tensor,
  function SubMapper (line 543) | SubMapper getSubMapper(Index i, Index j) const {
  function VectorMapper (line 547) | VectorMapper getVectorMapper(Index i, Index j) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionSycl.h
  function namespace (line 24) | namespace Eigen {
  type Eigen (line 1292) | typedef Eigen::SyclDevice Device;
  type TensorEvaluator (line 1294) | typedef TensorEvaluator<const TensorContractionOp<Indices, LeftArgType, ...
  type TensorContractionEvaluatorBase (line 1295) | typedef TensorContractionEvaluatorBase<Self> Base;
  type TensorContractionOp (line 1296) | typedef TensorContractionOp<Indices, LeftArgType, RightArgType, OutputKe...
  type typename (line 1297) | typedef typename internal::remove_const<typename
  type typename (line 1298) | typedef typename XprType::Index StorageIndex;
  type typename (line 1299) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1300) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 1301) | typedef typename Base::Storage Storage;
  type typename (line 1302) | typedef typename Base::EvaluatorPointerType EvaluatorPointerType;
  type TripleDim (line 1303) | struct TripleDim {
  function EIGEN_STRONG_INLINE (line 1348) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(typename Base::EvaluatorPo...
  function evalToSycl (line 1360) | void evalToSycl(typename Base::EvaluatorPointerType buffer) const {
  function triple_dim (line 1394) | const auto triple_dim = TripleDim{this->m_i_size, this->m_j_size, this->...
  function EIGEN_ALWAYS_INLINE (line 1450) | EIGEN_ALWAYS_INLINE adjustTT(EvaluatorPointerType buffer, const LhsMappe...
  type TensorSycl (line 1503) | typedef TensorSycl::internal::TensorContractionKernel<CoeffReturnType, L...
  type TensorSycl (line 1510) | typedef TensorSycl::internal::TensorContractionKernel<CoeffReturnType, L...
  type Eigen (line 1522) | typedef Eigen::internal::SumReducer<CoeffReturnType> Op;
  type TensorSycl (line 1524) | typedef TensorSycl::internal::SecondStepPartialReduction<CoeffReturnType...
  function EIGEN_ALWAYS_INLINE (line 1541) | EIGEN_ALWAYS_INLINE LaunchVT(EvaluatorPointerType buffer, const VectorMa...
  function launchSC (line 1596) | void launchSC(EvaluatorPointerType buffer, const LhsMapper &lhs, const R...
  function EIGEN_STRONG_INLINE (line 1635) | EIGEN_STRONG_INLINE void cleanup() {
  function bind (line 1645) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h
  function namespace (line 18) | namespace Eigen {
  type NoCallback (line 298) | struct NoCallback {
  function Notify (line 314) | void Notify() { done_.Notify(); }
  function Wait (line 315) | void Wait() { done_.Wait(); }
  function Notify (line 327) | void Notify() {
  function Wait (line 340) | void Wait() {}
  type internal (line 361) | typedef internal::TensorContractionInputMapper<
  type internal (line 367) | typedef internal::blas_data_mapper<Scalar, Index, ColMajor> OutputMapper;
  type internal (line 369) | typedef internal::TensorContractionKernel<
  type typename (line 373) | typedef typename TensorContractionKernel::LhsBlock LhsBlock;
  type typename (line 374) | typedef typename TensorContractionKernel::RhsBlock RhsBlock;
  type typename (line 375) | typedef typename TensorContractionKernel::BlockMemHandle BlockMemHandle;
  function Release (line 669) | void Release(EvalParallelContext& ctx) const {
  function BlockMemHandle (line 687) | BlockMemHandle mem_handle_{}
  function reuse (line 746) | static void reuse(EvalCtx& ctx, int index, Blocks& blocks) {
  function reuse (line 767) | static void reuse(EvalCtx& ctx, int index, Blocks& blocks) {
  function pack_lhs (line 856) | void pack_lhs(Index m, Index k) {
  function pack_rhs (line 890) | void pack_rhs(Index n, Index k) {
  function kernel (line 937) | void kernel(Index m, Index n, Index k, bool use_thread_local) {
  function signal_packing (line 987) | void signal_packing(Index k) {
  function signal_kernel (line 996) | void signal_kernel(Index m, Index n, Index k, bool sync,
  function enqueue_packing (line 1051) | void enqueue_packing(Index k, bool rhs) {
  function enqueue_packing_helper (line 1055) | void enqueue_packing_helper(Index start, Index end, Index k, bool rhs) {
  function Index (line 1092) | Index bm(Index m) const { return m + 1 < nm0_ ? bm_ : m_ + bm_ - bm_ * n...
  function Index (line 1093) | Index bn(Index n) const { return n + 1 < nn0_ ? bn_ : n_ + bn_ - bn_ * n...
  function Index (line 1094) | Index bk(Index k) const { return k + 1 < nk_ ? bk_ : k_ + bk_ - bk_ * nk...
  function Index (line 1096) | Index gm(Index m) const { return m + 1 < nm_ ? gm_ : nm0_ + gm_ - gm_ * ...
  function Index (line 1097) | Index gn(Index n) const { return n + 1 < nn_ ? gn_ : nn0_ + gn_ - gn_ * ...
  function applyOutputKernel (line 1294) | void applyOutputKernel() const {
  function Index (line 1309) | Index actualRangeSize(Index num_ranges, Index range_size,
  function addToBuffer (line 1318) | static void addToBuffer(size_t n, const Scalar* src_buf,
  function addAllToBuffer (line 1339) | static void addAllToBuffer(size_t n,

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h
  function namespace (line 15) | namespace Eigen {
  function m_impl (line 62) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 65) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 78) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 81) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 98) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 101) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function m_impl (line 120) | m_impl(impl) {}
  function EIGEN_STRONG_INLINE (line 123) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  function EIGEN_STRONG_INLINE (line 149) | EIGEN_STRONG_INLINE TgtPacket packet(Index index) const {
  type typename (line 182) | typedef typename internal::traits<TensorConversionOp>::StorageKind Stora...
  type typename (line 183) | typedef typename internal::traits<TensorConversionOp>::Index Index;
  type typename (line 184) | typedef typename internal::nested<TensorConversionOp>::type Nested;
  type Scalar (line 185) | typedef Scalar CoeffReturnType;
  type typename (line 186) | typedef typename NumTraits<Scalar>::Real RealScalar;
  function m_xpr (line 188) | TensorConversionOp(const XprType& xpr)
  function namespace (line 231) | namespace internal {
  type typename (line 252) | typedef typename internal::unpacket_traits<SrcPacket>::type SrcType;
  type typename (line 253) | typedef typename internal::unpacket_traits<TargetPacket>::type TargetType;
  function TargetPacket (line 258) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  type typename (line 273) | typedef typename internal::unpacket_traits<TargetPacket>::type TargetType;
  function TargetPacket (line 276) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  function TargetPacket (line 291) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  function TargetPacket (line 301) | TargetPacket run(const TensorEvaluator<ArgType, Device>& impl, Index ind...
  type typename (line 313) | typedef typename XprType::Index Index;
  type typename (line 314) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type TargetType (line 315) | typedef TargetType Scalar;
  type TargetType (line 316) | typedef TargetType CoeffReturnType;
  type typename (line 317) | typedef typename internal::remove_all<typename
  type typename (line 318) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 319) | typedef typename PacketType<SrcType, Device>::type PacketSourceType;
  type StorageMemory (line 322) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 323) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 343) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 344) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 346) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type TensorConversionOpBlockFactory (line 349) | struct TensorConversionOpBlockFactory {
  type internal (line 361) | typedef internal::TensorUnaryExprBlock<TensorConversionOpBlockFactory,
  function EIGEN_STRONG_INLINE (line 366) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 373) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data)
  function evalSubExprsIfNeededAsync (line 380) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 388) | EIGEN_STRONG_INLINE void cleanup()
  function CoeffReturnType (line 393) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 399) | EIGEN_STRONG_INLINE PacketReturnType
  function TensorOpCost (line 414) | TensorOpCost
  function bind (line 447) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 264) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::Scalar Sc...
  type typename (line 265) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 266) | typedef typename internal::promote_storage_type<typename
  type typename (line 268) | typedef typename Eigen::internal::nested<TensorConvolutionOp>::type Nested;
  type typename (line 269) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::StorageKi...
  type typename (line 270) | typedef typename Eigen::internal::traits<TensorConvolutionOp>::Index Index;
  type typename (line 301) | typedef typename XprType::Index Index;
  type DSizes (line 302) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 304) | typedef typename XprType::Scalar Scalar;
  type typename (line 305) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 306) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 308) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 309) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 322) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 389) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar*) {
  function EIGEN_STRONG_INLINE (line 394) | EIGEN_STRONG_INLINE void cleanup() {
  function evalTo (line 403) | void evalTo(typename XprType::Scalar* buffer) {
  function CoeffReturnType (line 411) | CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 419) | PacketReturnType packet(const Index index) const
  function TensorOpCost (line 463) | TensorOpCost
  function const (line 570) | int operator() (const int /*kernelSize*/) const {
  function Dynamic (line 575) | struct GetKernelSize<Dynamic> {
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 583) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel1D(
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 635) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel2D(
  function EIGEN_HIP_LAUNCH_BOUNDS_1024 (line 706) | EIGEN_HIP_LAUNCH_BOUNDS_1024 void EigenConvolutionKernel3D(
  type typename (line 784) | typedef typename XprType::Index Index;
  type DSizes (line 785) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 786) | typedef typename TensorEvaluator<KernelArgType, GpuDevice>::Dimensions K...
  type internal (line 799) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 820) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 821) | typedef typename PacketType<CoeffReturnType, GpuDevice>::type PacketRetu...
  type typename (line 822) | typedef typename InputArgType::Scalar Scalar;
  function EIGEN_STRONG_INLINE (line 827) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) {
  function EIGEN_STRONG_INLINE (line 840) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_STRONG_INLINE (line 853) | EIGEN_STRONG_INLINE void preloadKernel() {
  function ceil (line 873) | static unsigned int ceil(unsigned int num, unsigned int denom) {
  function executeEval (line 881) | void executeEval(Scalar* data) const {
  function CoeffReturnType (line 1080) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 1088) | EIGEN_STRONG_INLINE PacketReturnType packet(const Index index) const
  function TensorOpCost (line 1095) | TensorOpCost

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorConvolutionSycl.h
  function namespace (line 20) | namespace Eigen {
  function num_input (line 134) | const auto num_input = cl::sycl::range<2>{
  function input_offset (line 223) | const auto input_offset = cl::sycl::range<3>{itemID.get_group().get_id()...
  type TensorConvolutionOp (line 278) | typedef TensorConvolutionOp<Indices, InputArgType, KernelArgType> XprType;
  type typename (line 283) | typedef typename XprType::Index Index;
  type DSizes (line 284) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 285) | typedef typename TensorEvaluator<KernelArgType, Eigen::SyclDevice>::Dime...
  type Eigen (line 286) | typedef const Eigen::SyclDevice Device;
  type typename (line 287) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 288) | typedef typename PacketType<CoeffReturnType, Eigen::SyclDevice>::type Pa...
  type typename (line 289) | typedef typename InputArgType::Scalar Scalar;
  type StorageMemory (line 291) | typedef StorageMemory<CoeffReturnType, Eigen::SyclDevice> Storage;
  type typename (line 292) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 293) | typedef StorageMemory<const CoeffReturnType, Eigen::SyclDevice> KernelSt...
  type internal (line 307) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 339) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 353) | EIGEN_STRONG_INLINE void cleanup() {
  function preloadKernel (line 370) | void preloadKernel() {
  function executeEval (line 389) | void executeEval(EvaluatorPointerType data) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorCostModel.h
  function namespace (line 15) | namespace Eigen {
  function numThreads (line 176) | int numThreads(
  function taskSize (line 189) | double taskSize(
  function totalCost (line 194) | double totalCost(

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorCustomOp.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 59) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 60) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 61) | typedef typename internal::nested<TensorCustomUnaryOp>::type Nested;
  type typename (line 62) | typedef typename internal::traits<TensorCustomUnaryOp>::StorageKind Stor...
  type typename (line 63) | typedef typename internal::traits<TensorCustomUnaryOp>::Index Index;
  type typename (line 86) | typedef typename internal::traits<ArgType>::Index Index;
  type DSizes (line 88) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 89) | typedef typename internal::remove_const<typename
  type typename (line 90) | typedef typename internal::remove_const<typename
  type typename (line 91) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 93) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 94) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 95) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 108) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 119) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 131) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 138) | CoeffReturnType coeff(Index index) const {
  function PacketReturnType (line 143) | PacketReturnType packet(Index index) const {
  function TensorOpCost (line 147) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 156) | void bind(cl::sycl::handler &cgh) const {
  function namespace (line 182) | namespace internal {
  type TensorCustomBinaryOp (line 207) | typedef const TensorCustomBinaryOp<CustomBinaryFunc, LhsXprType, RhsXprT...
  type typename (line 224) | typedef typename internal::traits<TensorCustomBinaryOp>::Scalar Scalar;
  type typename (line 225) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 226) | typedef typename internal::traits<TensorCustomBinaryOp>::CoeffReturnType...
  type typename (line 227) | typedef typename internal::nested<TensorCustomBinaryOp>::type Nested;
  type typename (line 228) | typedef typename internal::traits<TensorCustomBinaryOp>::StorageKind Sto...
  type typename (line 229) | typedef typename internal::traits<TensorCustomBinaryOp>::Index Index;
  type typename (line 258) | typedef typename internal::traits<XprType>::Index Index;
  type DSizes (line 260) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 261) | typedef typename XprType::Scalar Scalar;
  type typename (line 262) | typedef typename internal::remove_const<typename
  type typename (line 263) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 266) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 267) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 268) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 281) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 292) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 304) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 311) | CoeffReturnType coeff(Index index) const {
  function PacketReturnType (line 316) | PacketReturnType packet(Index index) const {
  function TensorOpCost (line 320) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 329) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceDefault.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceGpu.h
  function namespace (line 20) | namespace Eigen {
  function gpuDeviceProp_t (line 162) | const gpuDeviceProp_t& deviceProperties() const {
  function virtual (line 175) | virtual void deallocate(void* buffer) const {
  function virtual (line 184) | virtual void* scratchpad() const {
  function max_blocks_ (line 209) | struct GpuDevice {
  function EIGEN_STRONG_INLINE (line 223) | EIGEN_STRONG_INLINE void* allocate(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 227) | EIGEN_STRONG_INLINE void deallocate(void* buffer) const {
  function EIGEN_STRONG_INLINE (line 231) | EIGEN_STRONG_INLINE void* allocate_temp(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 235) | EIGEN_STRONG_INLINE void deallocate_temp(void* buffer) const {
  function EIGEN_STRONG_INLINE (line 240) | EIGEN_STRONG_INLINE Type get(Type data) const {
  function EIGEN_STRONG_INLINE (line 244) | EIGEN_STRONG_INLINE void* scratchpad() const {
  function memcpy (line 252) | void memcpy(void* dst, const void* src, size_t n) const {
  function EIGEN_STRONG_INLINE (line 266) | EIGEN_STRONG_INLINE void memcpyHostToDevice(void* dst, const void* src, ...
  function EIGEN_STRONG_INLINE (line 273) | EIGEN_STRONG_INLINE void memcpyDeviceToHost(void* dst, const void* src, ...
  function memset (line 280) | void memset(void* buffer, int c, size_t n) const {
  function fill (line 294) | void fill(T* begin, T* end, const T& value) const {
  function EIGEN_DEVICE_FUNC (line 414) | static EIGEN_DEVICE_FUNC inline void setGpuSharedMemConfig(gpuSharedMemC...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h
  function namespace (line 21) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 470) | EIGEN_STRONG_INLINE ptrdiff_t get_offset(const void *ptr) const {
  type cl (line 488) | typedef cl::sycl::accessor<OutScalar, 1,
  type cl (line 516) | typedef cl::sycl::accessor<OutScalar, 1,
  type cl (line 542) | typedef cl::sycl::accessor<OutScalar, 1,
  function EIGEN_STRONG_INLINE (line 569) | EIGEN_STRONG_INLINE void async_synchronize(cl::sycl::event e) const {
  function parallel_for_setup (line 577) | void parallel_for_setup(Index n, Index &tileSize,
  function parallel_for_setup (line 597) | void parallel_for_setup(
  function parallel_for_setup (line 636) | void parallel_for_setup(
  function EIGEN_STRONG_INLINE (line 747) | EIGEN_STRONG_INLINE size_t getPowerOfTwo(size_t wGSize, bool roundUp) co...
  function synchronize_and_callback (line 799) | void synchronize_and_callback(cl::sycl::event e,
  function sycl_async_handler (line 821) | bool sycl_async_handler(cl::sycl::exception_list exceptions) const {
  type SyclDeviceBase (line 863) | struct SyclDeviceBase {
  function SyclDeviceBase (line 876) | struct SyclDevice : public SyclDeviceBase {
  function parallel_for_setup (line 904) | void parallel_for_setup(Index n, Index &tileSize,
  function parallel_for_setup (line 912) | void parallel_for_setup(
  function parallel_for_setup (line 921) | void parallel_for_setup(
  function EIGEN_STRONG_INLINE (line 928) | EIGEN_STRONG_INLINE void *allocate(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 932) | EIGEN_STRONG_INLINE void *allocate_temp(size_t num_bytes) const {
  function EIGEN_STRONG_INLINE (line 937) | EIGEN_STRONG_INLINE void deallocate(void *p) const {
  function EIGEN_STRONG_INLINE (line 941) | EIGEN_STRONG_INLINE void deallocate_temp(void *buffer) const {
  function deallocate_temp (line 945) | void deallocate_temp(
  function memcpy (line 999) | void memcpy(void *dst, const Index *src, size_t n) const {
  function EIGEN_STRONG_INLINE (line 1003) | EIGEN_STRONG_INLINE void memset(void *data, int c, size_t n) const {
  function fill (line 1008) | void fill(T* begin, T* end, const T& value) const {
  function EIGEN_STRONG_INLINE (line 1048) | EIGEN_STRONG_INLINE size_t getPowerOfTwo(size_t val, bool roundUp) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceThreadPool.h
  function namespace (line 15) | namespace Eigen {
  function parallelFor (line 197) | void parallelFor(Index n, const TensorOpCost& cost,
  function parallelFor (line 244) | void parallelFor(Index n, const TensorOpCost& cost,
  function parallelForAsync (line 256) | void parallelForAsync(Index n, const TensorOpCost& cost,
  function parallelForAsync (line 305) | void parallelForAsync(Index n, const TensorOpCost& cost,
  function ThreadPoolInterface (line 312) | ThreadPoolInterface* getPool() const { return pool_; }
  function Allocator (line 315) | Allocator* allocator() const { return allocator_; }
  type ParallelForAsyncContext (line 322) | struct ParallelForAsyncContext {
  type ParallelForBlock (line 338) | struct ParallelForBlock {
  function ParallelForBlock (line 348) | ParallelForBlock CalculateParallelForBlock(

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDimensionList.h
  function Index (line 29) | const Index operator[] (const Index i) const { return i; }
  function EIGEN_DEVICE_FUNC (line 52) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex) {
  function EIGEN_DEVICE_FUNC (line 58) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex) {
  function EIGEN_DEVICE_FUNC (line 65) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 71) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 78) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 84) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function run (line 91) | static constexpr bool run(const DenseIndex i, const DenseIndex value) {
  function EIGEN_DEVICE_FUNC (line 97) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 104) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function run (line 110) | static constexpr bool run(const DenseIndex i, const DenseIndex value) {
  function EIGEN_DEVICE_FUNC (line 117) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 123) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 130) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function EIGEN_DEVICE_FUNC (line 136) | EIGEN_DEVICE_FUNC static constexpr bool run(const DenseIndex i, const De...
  function run (line 144) | bool run(const DenseIndex) {
  function run (line 150) | bool run(const DenseIndex) {
  function run (line 157) | bool run() {
  function run (line 163) | bool run() {
  function run (line 170) | bool run() {
  function run (line 176) | bool run() {
  function run (line 183) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 189) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 196) | bool run(const DenseIndex, const DenseIndex){
  function run (line 202) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 209) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 215) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 222) | bool run(const DenseIndex, const DenseIndex) {
  function run (line 228) | bool run(const DenseIndex, const DenseIndex) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h
  function namespace (line 16) | namespace Eigen {
  type tensor_index_linearization_helper (line 251) | struct tensor_index_linearization_helper
  function Index (line 254) | Index run(array<Index, NumIndices> const& indices, array<Index, NumIndic...
  function EIGEN_DEVICE_FUNC (line 277) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DSizes() {
  function EIGEN_DEVICE_FUNC (line 282) | EIGEN_DEVICE_FUNC explicit DSizes(const array<DenseIndex, NumDims>& a) :...
  function EIGEN_DEVICE_FUNC (line 284) | EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0) {
  function EIGEN_DEVICE_FUNC (line 289) | EIGEN_DEVICE_FUNC DSizes(const DimensionList<DenseIndex, NumDims>& a) {
  function DSizes (line 332) | ptrdiff_t V5>
  function EIGEN_STRONG_INLINE (line 342) | EIGEN_STRONG_INLINE explicit DSizes(DenseIndex firstDimension, DenseInde...
  type tensor_vsize_index_linearization_helper (line 415) | struct tensor_vsize_index_linearization_helper
  function Index (line 418) | Index run(array<Index, NumIndices> const& indices, std::vector<DenseInde...
  function namespace (line 426) | namespace internal {
  type array_size (line 435) | struct array_size
  type array_size (line 438) | struct array_size
  function EIGEN_STRONG_INLINE (line 444) | EIGEN_STRONG_INLINE std::ptrdiff_t array_get(const Sizes<>&) {
  type array_size (line 449) | struct array_size
  type array_size (line 452) | struct array_size
  function array_get (line 455) | ptrdiff_t array_get(const Sizes<V1,V2,V3,V4,V5>&) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorEvalTo.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 74) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 75) | typedef typename internal::remove_const<typename
  type typename (line 76) | typedef typename MakePointer_<CoeffReturnType>::Type PointerType;
  type typename (line 77) | typedef typename Eigen::internal::nested<TensorEvalToOp>::type Nested;
  type typename (line 78) | typedef typename Eigen::internal::traits<TensorEvalToOp>::StorageKind St...
  type typename (line 79) | typedef typename Eigen::internal::traits<TensorEvalToOp>::Index Index;
  function EIGEN_DEVICE_FUNC (line 83) | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvalToOp(PointerType buffer,...
  type typename (line 103) | typedef typename ArgType::Scalar Scalar;
  type typename (line 104) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 105) | typedef typename XprType::Index Index;
  type typename (line 106) | typedef typename internal::remove_const<typename
  type typename (line 107) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 109) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 110) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 111) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 125) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 126) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 128) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type internal (line 131) | typedef internal::TensorBlockAssignment<
  function EIGEN_STRONG_INLINE (line 146) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType scala...
  function evalSubExprsIfNeededAsync (line 154) | void evalSubExprsIfNeededAsync(
  function evalScalar (line 162) | void evalScalar(Index i) {
  function evalPacket (line 165) | void evalPacket(Index i) {
  function evalBlock (line 174) | void evalBlock(
  function EIGEN_STRONG_INLINE (line 196) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 200) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 206) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 211) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 222) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
  function namespace (line 15) | namespace Eigen {
  function writeBlock (line 167) | void writeBlock(
  function bind (line 187) | void bind(cl::sycl::handler &cgh) const {
  function EIGEN_ALWAYS_INLINE (line 198) | EIGEN_ALWAYS_INLINE
  function loadConstant (line 205) | float loadConstant(const float* address) {
  function loadConstant (line 209) | double loadConstant(const double* address) {
  function half (line 213) | half loadConstant(const Eigen::half* address) {
  type typename (line 232) | typedef typename Derived::Scalar Scalar;
  type typename (line 233) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 234) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 235) | typedef typename Derived::Dimensions Dimensions;
  type Derived (line 236) | typedef const Derived XprType;
  type typename (line 237) | typedef typename internal::traits<Derived>::template MakePointer<const S...
  type StorageMemory (line 238) | typedef StorageMemory<const Scalar, Device> Storage;
  type typename (line 239) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 241) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 259) | typedef internal::TensorBlockDescriptor<NumCoords, Index> TensorBlockDesc;
  type internal (line 260) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 262) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumCoo...
  function EIGEN_STRONG_INLINE (line 273) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 283) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 290) | EIGEN_STRONG_INLINE void cleanup() { }
  function CoeffReturnType (line 292) | CoeffReturnType coeff(Index index) const {
  function EIGEN_STRONG_INLINE (line 297) | EIGEN_STRONG_INLINE
  function CoeffReturnType (line 315) | CoeffReturnType coeff(const array<DenseIndex, NumCoords>& coords) const {
  function TensorOpCost (line 322) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 342) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 366) | typedef typename XprType::Index Index;
  type typename (line 367) | typedef typename XprType::Scalar Scalar;
  type typename (line 368) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 369) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 371) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 372) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 373) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 390) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 395) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) { re...
  function evalSubExprsIfNeededAsync (line 399) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 405) | EIGEN_STRONG_INLINE void cleanup() { }
  function EIGEN_DEVICE_FUNC (line 407) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 413) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 418) | TensorOpCost
  function bind (line 428) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 465) | typedef typename XprType::Index Index;
  type typename (line 466) | typedef typename XprType::Scalar Scalar;
  type typename (line 467) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type typename (line 468) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 469) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 471) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 472) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 473) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 477) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 478) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 480) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type internal (line 483) | typedef internal::TensorCwiseUnaryBlock<UnaryOp, ArgTensorBlock>
  function EIGEN_STRONG_INLINE (line 489) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 496) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 502) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 506) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 512) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 517) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 540) | void bind(cl::sycl::handler &cgh) const{
  type typename (line 585) | typedef typename XprType::Index Index;
  type typename (line 586) | typedef typename XprType::Scalar Scalar;
  type typename (line 587) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 588) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 590) | typedef typename TensorEvaluator<LeftArgType, Device>::Dimensions Dimens...
  type StorageMemory (line 591) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 592) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 598) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 599) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 601) | typedef typename TensorEvaluator<const LeftArgType, Device>::TensorBlock
  type typename (line 603) | typedef typename TensorEvaluator<const RightArgType, Device>::TensorBlock
  type internal (line 606) | typedef internal::TensorCwiseBinaryBlock<BinaryOp, LeftTensorBlock,
  function EIGEN_STRONG_INLINE (line 617) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 625) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 635) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 640) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 645) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 650) | TensorOpCost
  function bind (line 679) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 737) | typedef typename XprType::Index Index;
  type typename (line 738) | typedef typename XprType::Scalar Scalar;
  type typename (line 739) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 740) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 742) | typedef typename TensorEvaluator<Arg1Type, Device>::Dimensions Dimensions;
  type StorageMemory (line 743) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 744) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 747) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 756) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 762) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 768) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 773) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 780) | TensorOpCost
  function bind (line 793) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 814) | typedef typename XprType::Scalar Scalar;
  type typename (line 844) | typedef typename XprType::Index Index;
  type typename (line 845) | typedef typename internal::traits<XprType>::Scalar CoeffReturnType;
  type typename (line 846) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 848) | typedef typename TensorEvaluator<IfArgType, Device>::Dimensions Dimensions;
  type StorageMemory (line 849) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 850) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 855) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 856) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 858) | typedef typename TensorEvaluator<const IfArgType, Device>::TensorBlock
  type typename (line 860) | typedef typename TensorEvaluator<const ThenArgType, Device>::TensorBlock
  type typename (line 862) | typedef typename TensorEvaluator<const ElseArgType, Device>::TensorBlock
  type TensorSelectOpBlockFactory (line 865) | struct TensorSelectOpBlockFactory {
  type internal (line 878) | typedef internal::TensorTernaryExprBlock<TensorSelectOpBlockFactory,
  function EIGEN_STRONG_INLINE (line 890) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 899) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 909) | EIGEN_STRONG_INLINE void cleanup() {
  function EIGEN_DEVICE_FUNC (line 915) | EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 920) | PacketReturnType packet(Index index) const
  function TensorOpCost (line 933) | TensorOpCost
  function bind (line 970) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h
  function namespace (line 15) | namespace Eigen {
  function run (line 98) | void run(const Expression& expr,
  type typename (line 170) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 172) | typedef TensorEvaluator<Expression, DefaultDevice> Evaluator;
  type typename (line 173) | typedef typename traits<Expression>::Index StorageIndex;
  function run (line 178) | void run(const Expression& expr,
  function run (line 273) | static void run(Evaluator* evaluator_in, const StorageIndex firstIdx,
  function StorageIndex (line 282) | static StorageIndex alignBlockSize(StorageIndex size) { return size; }
  function run (line 290) | static void run(Evaluator* evaluator_in, const StorageIndex firstIdx,
  function StorageIndex (line 316) | static StorageIndex alignBlockSize(StorageIndex size) {
  type typename (line 329) | typedef typename Expression::Index StorageIndex;
  function EIGEN_STRONG_INLINE (line 331) | static EIGEN_STRONG_INLINE void run(const Expression& expr,
  type typename (line 355) | typedef typename traits<Expression>::Scalar Scalar;
  type typename (line 356) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 360) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  type TensorBlockMapper (line 361) | typedef TensorBlockMapper<NumDims, Evaluator::Layout, IndexType> BlockMa...
  type TensorExecutorTilingContext (line 362) | typedef TensorExecutorTilingContext<BlockMapper> TilingContext;
  type internal (line 364) | typedef internal::TensorBlockDescriptor<NumDims, IndexType>
  type internal (line 366) | typedef internal::TensorBlockScratchAllocator<ThreadPoolDevice>
  function EIGEN_STRONG_INLINE (line 369) | static EIGEN_STRONG_INLINE void run(const Expression& expr,
  type TensorEvaluator (line 411) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  function EIGEN_STRONG_INLINE (line 413) | static EIGEN_STRONG_INLINE void runAsync(const Expression& expr,
  type EvalRange (line 425) | typedef EvalRange<Evaluator, StorageIndex, Vectorizable> EvalRange;
  type TensorAsyncExecutorContext (line 440) | struct TensorAsyncExecutorContext {
  type typename (line 463) | typedef typename traits<Expression>::Scalar Scalar;
  type typename (line 464) | typedef typename remove_const<Scalar>::type ScalarNoConst;
  type TensorEvaluator (line 468) | typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
  type TensorBlockMapper (line 469) | typedef TensorBlockMapper<NumDims, Evaluator::Layout, IndexType> BlockMa...
  type TensorExecutorTilingContext (line 470) | typedef TensorExecutorTilingContext<BlockMapper> TilingContext;
  type internal (line 472) | typedef internal::TensorBlockDescriptor<NumDims, IndexType> TensorBlockD...
  type internal (line 473) | typedef internal::TensorBlockScratchAllocator<ThreadPoolDevice>
  function EIGEN_STRONG_INLINE (line 476) | static EIGEN_STRONG_INLINE void runAsync(const Expression& expr,
  type TensorAsyncExecutorContext (line 521) | struct TensorAsyncExecutorContext {
  type typename (line 551) | typedef typename Expression::Index StorageIndex;
  function run (line 559) | void run(Evaluator& eval, StorageIndex firstIdx, StorageIndex lastIdx, S...
  type typename (line 627) | typedef typename Evaluator::Index Index;
  function EIGEN_ALWAYS_INLINE (line 631) | EIGEN_ALWAYS_INLINE ExecExprFunctorKernel(
  function EIGEN_STRONG_INLINE (line 671) | static EIGEN_STRONG_INLINE void run(const Expression& expr,

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExpr.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type TensorCwiseNullaryOp (line 60) | typedef TensorCwiseNullaryOp<NullaryOp, XprType> Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::StorageK...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorCwiseNullaryOp>::Index In...
  function namespace (line 81) | namespace internal {
  type typename (line 123) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 124) | typedef Scalar CoeffReturnType;
  type typename (line 125) | typedef typename Eigen::internal::nested<TensorCwiseUnaryOp>::type Nested;
  type typename (line 126) | typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::StorageKin...
  type typename (line 127) | typedef typename Eigen::internal::traits<TensorCwiseUnaryOp>::Index Index;
  function namespace (line 146) | namespace internal {
  type typename (line 203) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Scalar Sc...
  type typename (line 204) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 205) | typedef Scalar CoeffReturnType;
  type typename (line 206) | typedef typename Eigen::internal::nested<TensorCwiseBinaryOp>::type Nested;
  type typename (line 207) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::StorageKi...
  type typename (line 208) | typedef typename Eigen::internal::traits<TensorCwiseBinaryOp>::Index Index;
  function namespace (line 232) | namespace internal {
  type TensorCwiseTernaryOp (line 266) | typedef const TensorCwiseTernaryOp<TernaryOp, Arg1XprType, Arg2XprType, ...
  type typename (line 283) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Scalar S...
  type typename (line 284) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type Scalar (line 285) | typedef Scalar CoeffReturnType;
  type typename (line 286) | typedef typename Eigen::internal::nested<TensorCwiseTernaryOp>::type Nes...
  type typename (line 287) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::StorageK...
  type typename (line 288) | typedef typename Eigen::internal::traits<TensorCwiseTernaryOp>::Index In...
  function namespace (line 317) | namespace internal {
  type TensorSelectOp (line 341) | typedef const TensorSelectOp<IfXprType, ThenXprType, ElseXprType>& type;
  type typename (line 357) | typedef typename Eigen::internal::traits<TensorSelectOp>::Scalar Scalar;
  type typename (line 358) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 359) | typedef typename internal::promote_storage_type<typename
  type typename (line 361) | typedef typename Eigen::internal::nested<TensorSelectOp>::type Nested;
  type typename (line 362) | typedef typename Eigen::internal::traits<TensorSelectOp>::StorageKind St...
  type typename (line 363) | typedef typename Eigen::internal::traits<TensorSelectOp>::Index Index;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFFT.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 90) | typedef typename Eigen::internal::traits<TensorFFTOp>::Scalar Scalar;
  type typename (line 91) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 92) | typedef typename std::complex<RealScalar> ComplexScalar;
  type typename (line 93) | typedef typename internal::conditional<FFTResultType == RealPart || FFTR...
  type OutputScalar (line 94) | typedef OutputScalar CoeffReturnType;
  type typename (line 95) | typedef typename Eigen::internal::nested<TensorFFTOp>::type Nested;
  type typename (line 96) | typedef typename Eigen::internal::traits<TensorFFTOp>::StorageKind Stora...
  type typename (line 97) | typedef typename Eigen::internal::traits<TensorFFTOp>::Index Index;
  type typename (line 119) | typedef typename XprType::Index Index;
  type DSizes (line 121) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 122) | typedef typename XprType::Scalar Scalar;
  type typename (line 123) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 124) | typedef typename std::complex<RealScalar> ComplexScalar;
  type typename (line 125) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type internal (line 126) | typedef internal::traits<XprType> XprTraits;
  type typename (line 127) | typedef typename XprTraits::Scalar InputScalar;
  type typename (line 128) | typedef typename internal::conditional<FFTResultType == RealPart || FFTR...
  type OutputScalar (line 129) | typedef OutputScalar CoeffReturnType;
  type typename (line 130) | typedef typename PacketType<OutputScalar, Device>::type PacketReturnType;
  type StorageMemory (line 132) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 133) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 146) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 174) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 186) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 194) | CoeffReturnType coeff(Index index) const {
  function EIGEN_ALWAYS_INLINE (line 199) | EIGEN_ALWAYS_INLINE PacketReturnType
  function TensorOpCost (line 204) | TensorOpCost
  function bind (line 212) | void bind(cl::sycl::handler &cgh) const {
  function evalToBuf (line 218) | void evalToBuf(EvaluatorPointerType data) {
  function isPowerOfTwo (line 322) | static bool isPowerOfTwo(Index x) {
  function Index (line 328) | static Index findGoodComposite(Index n) {
  function Index (line 334) | static Index getLog2(Index m) {
  function processDataLineCooleyTukey (line 341) | void processDataLineCooleyTukey(ComplexScalar* line_buf, Index line_len,...
  function processDataLineBluestein (line 348) | void processDataLineBluestein(ComplexScalar* line_buf, Index line_len, I...
  function scramble_FFT (line 413) | static void scramble_FFT(ComplexScalar* data, Index n) {
  function butterfly_2 (line 430) | void butterfly_2(ComplexScalar* data) {
  function butterfly_4 (line 437) | void butterfly_4(ComplexScalar* data) {
  function butterfly_8 (line 454) | void butterfly_8(ComplexScalar* data) {
  function butterfly_1D_merge (line 501) | void butterfly_1D_merge(
  function compute_1D_Butterfly (line 540) | void compute_1D_Butterfly(
  function Index (line 556) | Index getBaseOffsetFromIndex(Index index, Index omitted_dim) const {
  function Index (line 581) | Index getIndexFromOffset(Index base, Index omitted_dim, Index offset) co...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFixedSize.h
  function namespace (line 15) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 79) | EIGEN_STRONG_INLINE const Scalar& coeff(Index firstIndex, IndexTypes... ...
  function Scalar (line 88) | const Scalar& coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 95) | const Scalar& coeff(Index index) const
  function Scalar (line 102) | const Scalar& coeff() const
  function EIGEN_STRONG_INLINE (line 142) | EIGEN_STRONG_INLINE const Scalar& operator()(Index firstIndex, IndexType...
  function Scalar (line 150) | const Scalar& operator()(Index i0, Index i1) const
  function Scalar (line 161) | const Scalar& operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 172) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 183) | const Scalar& operator()(Index i0, Index i1, Index i2, Index i3, Index i...
  function Scalar (line 197) | const Scalar& operator()(const array<Index, NumIndices>& indices) const
  function Scalar (line 204) | const Scalar& operator()(Index index) const
  function Scalar (line 211) | const Scalar& operator()() const
  function m_storage (line 316) | TensorFixedSize(const Self& other)
  type TensorAssignOp (line 340) | typedef TensorAssignOp<TensorFixedSize, const
  function EIGEN_STRONG_INLINE (line 352) | EIGEN_STRONG_INLINE bool checkIndexRange(const array<Index, NumIndices>&...
  function Index (line 368) | Index linearizedIndex(const array<Index, NumIndices>& indices) const

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 65) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 66) | typedef typename internal::remove_const<typename
  type typename (line 67) | typedef typename Eigen::internal::nested<TensorForcedEvalOp>::type Nested;
  type typename (line 68) | typedef typename Eigen::internal::traits<TensorForcedEvalOp>::StorageKin...
  type typename (line 69) | typedef typename Eigen::internal::traits<TensorForcedEvalOp>::Index Index;
  function m_xpr (line 71) | TensorForcedEvalOp(const XprType& expr)
  function namespace (line 82) | namespace internal {
  type typename (line 108) | typedef const typename internal::remove_all<ArgType_>::type ArgType;
  type TensorForcedEvalOp (line 109) | typedef TensorForcedEvalOp<ArgType> XprType;
  type typename (line 110) | typedef typename ArgType::Scalar Scalar;
  type typename (line 111) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 112) | typedef typename XprType::Index Index;
  type typename (line 113) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 114) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 116) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 117) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 118) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 132) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 133) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 135) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function EIGEN_STRONG_INLINE (line 147) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 167) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 187) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 192) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 198) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 215) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 224) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
  function namespace (line 15) | namespace Eigen {
  type NoOpOutputKernel (line 102) | struct NoOpOutputKernel
  type DefaultDevice (line 104) | struct DefaultDevice
  type ThreadPoolDevice (line 105) | struct ThreadPoolDevice
  type GpuDevice (line 106) | struct GpuDevice
  type SyclDevice (line 107) | struct SyclDevice
  type Eigen (line 112) | typedef Eigen::TensorSycl::internal::RangeAccess<cl::sycl::access::mode:...
  function namespace (line 126) | namespace TensorSycl {
  type FFTResultType (line 134) | enum FFTResultType {
  type FFTDirection (line 140) | enum FFTDirection {
  function namespace (line 146) | namespace internal {
  type TiledEvaluation (line 160) | enum TiledEvaluation {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorFunctors.h
  function namespace (line 15) | namespace Eigen {
  function T (line 173) | T bottom_value() {
  function EIGEN_STRONG_INLINE (line 179) | static EIGEN_STRONG_INLINE T bottom_value() {
  function EIGEN_STRONG_INLINE (line 185) | static EIGEN_STRONG_INLINE T bottom_value() {
  function EIGEN_STRONG_INLINE (line 191) | static EIGEN_STRONG_INLINE T bottom_value() {
  function reduce (line 199) | void reduce(const T t, T* accum) const {
  function reducePacket (line 204) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 215) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 219) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 223) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  function reduce (line 241) | void reduce(const T t, T* accum) const {
  function reducePacket (line 246) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 257) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 261) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 265) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  function reduce (line 283) | void reduce(const T t, T* accum) const {
  function reducePacket (line 288) | void reducePacket(const Packet& p, Packet* accum) const {
  function T (line 299) | T finalize(const T accum) const {
  function EIGEN_STRONG_INLINE (line 303) | EIGEN_STRONG_INLINE Packet finalizePacket(const Packet& vaccum) const {
  function EIGEN_STRONG_INLINE (line 307) | EIGEN_STRONG_INLINE T finalizeBoth(const T saccum, const Packet& vaccum)...
  type AndReducer (line 324) | struct AndReducer
  function finalize (line 332) | bool finalize(bool accum) const {
  type OrReducer (line 348) | struct OrReducer {
  function finalize (line 355) | bool finalize(bool accum) const {
  function reduce (line 374) | void reduce(const T t, T* accum) const {
  function T (line 384) | T finalize(const T& accum) const {
  function reduce (line 402) | void reduce(const T& t, T* accum) const {
  function T (line 412) | T finalize(const T& accum) const {
  function EIGEN_DEVICE_FUNC (line 433) | EIGEN_DEVICE_FUNC GaussianGenerator(const array<T, NumDims>& means,
  function EIGEN_DEVICE_FUNC (line 443) | EIGEN_DEVICE_FUNC T operator()(const array<Index, NumDims>& coordinates)...
  function EIGEN_DEVICE_FUNC (line 470) | EIGEN_DEVICE_FUNC inline scalar_clamp_op(const Scalar& _min, const Scala...
  function Scalar (line 471) | const Scalar
  function Packet (line 476) | const Packet

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorGenerator.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 61) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 62) | typedef typename Eigen::internal::nested<TensorGeneratorOp>::type Nested;
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorGeneratorOp>::StorageKind...
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorGeneratorOp>::Index Index;
  type typename (line 87) | typedef typename XprType::Index Index;
  type typename (line 88) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
  type typename (line 90) | typedef typename XprType::Scalar Scalar;
  type typename (line 91) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 92) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 93) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 94) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 105) | typedef internal::TensorIntDivisor<Index> IndexDivisor;
  type internal (line 108) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 109) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 111) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function EIGEN_STRONG_INLINE (line 116) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 141) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 144) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 147) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 155) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  type BlockIteratorState (line 177) | struct BlockIteratorState {
  function TensorOpCost (line 260) | TensorOpCost
  function bind (line 272) | void bind(cl::sycl::handler&) const {}
  function extract_coordinates (line 277) | void extract_coordinates(Index index, array<Index, NumDims>& coords) con...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
  function namespace (line 15) | namespace Eigen {
  type TensorEvaluator (line 62) | typedef TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice...
  type typename (line 63) | typedef typename Evaluator::Dimensions Dimensions;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorImagePatch.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 61) | typedef typename Self::Index Index;
  type typename (line 62) | typedef typename Self::Scalar Scalar;
  type typename (line 63) | typedef typename Self::Impl Impl;
  function Run (line 64) | void Run(
  type typename (line 76) | typedef typename Self::Index Index;
  type typename (line 77) | typedef typename Self::Scalar Scalar;
  type typename (line 78) | typedef typename Self::Impl Impl;
  type typename (line 79) | typedef typename packet_traits<Scalar>::type Packet;
  function Run (line 80) | void Run(
  type typename (line 99) | typedef typename Self::Index Index;
  type typename (line 100) | typedef typename Self::Scalar Scalar;
  type typename (line 101) | typedef typename packet_traits<Scalar>::type Packet;
  function Run (line 102) | void Run(
  type typename (line 125) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::Scalar Sca...
  type typename (line 126) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 127) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 128) | typedef typename Eigen::internal::nested<TensorImagePatchOp>::type Nested;
  type typename (line 129) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::StorageKin...
  type typename (line 130) | typedef typename Eigen::internal::traits<TensorImagePatchOp>::Index Index;
  type typename (line 219) | typedef typename XprType::Index Index;
  type DSizes (line 222) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 223) | typedef typename internal::remove_const<typename
  type TensorEvaluator (line 224) | typedef TensorEvaluator<const TensorImagePatchOp<Rows, Cols, ArgType>,
  type TensorEvaluator (line 226) | typedef TensorEvaluator<ArgType, Device> Impl;
  type typename (line 227) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 228) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 230) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 231) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 244) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 247) | EIGEN_STRONG_INLINE TensorEvaluator( const XprType& op, const Device& de...
  function EIGEN_STRONG_INLINE (line 394) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function evalSubExprsIfNeededAsync (line 401) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 407) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 411) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 450) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function bind (line 514) | void bind(cl::sycl::handler &cgh) const {
  function TensorOpCost (line 530) | TensorOpCost

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIndexList.h
  function namespace (line 19) | namespace Eigen {
  function EIGEN_DEVICE_FUNC (line 151) | EIGEN_DEVICE_FUNC constexpr IndexTuple(const T& v, const O... o) : head(...
  type T (line 156) | typedef T Head;
  type IndexTuple (line 157) | typedef IndexTuple<O...> Other;
  function EIGEN_DEVICE_FUNC (line 162) | EIGEN_DEVICE_FUNC constexpr IndexTuple() : head() { }
  function EIGEN_DEVICE_FUNC (line 201) | EIGEN_DEVICE_FUNC static constexpr const ValType& get_val(const IndexTup...
  function set_val (line 205) | static void set_val(IndexTuple<T, O...>& val, V& new_val) {
  function ValueT (line 235) | static constexpr ValueT get(const Index i, const IndexTuple<T...>& t) {
  function set (line 240) | static void set(const Index i, IndexTuple<T...>& t, const ValueT& value) {
  function value_known_statically (line 249) | static constexpr bool value_known_statically(const Index i, const IndexT...
  function values_up_to_known_statically (line 255) | static constexpr bool values_up_to_known_statically(const IndexTuple<T.....
  function values_up_to_statically_known_to_increase (line 261) | static constexpr bool values_up_to_statically_known_to_increase(const In...
  function ValueT (line 272) | static constexpr ValueT get(const Index /*i*/, const IndexTuple<T...>& t) {
  function set (line 277) | static void set(const Index i, IndexTuple<T...>& t, const ValueT value) {
  function value_known_statically (line 282) | static constexpr bool value_known_statically(const Index i, const IndexT...
  function values_up_to_known_statically (line 287) | static constexpr bool values_up_to_known_statically(const IndexTuple<T.....
  function values_up_to_statically_known_to_increase (line 292) | static constexpr bool values_up_to_statically_known_to_increase(const In...
  function Index (line 302) | constexpr Index operator[] (const Index i) const {
  function Index (line 305) | constexpr Index get(const Index i) const {
  function set (line 308) | void set(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 312) | EIGEN_DEVICE_FUNC constexpr IndexList(const internal::IndexTuple<FirstTy...
  function EIGEN_DEVICE_FUNC (line 319) | EIGEN_DEVICE_FUNC constexpr bool all_values_known_statically() const {
  function IndexPair (line 348) | constexpr IndexPair<Index> operator[] (const Index i) const {
  function set (line 351) | void set(const Index i, const IndexPair<Index> value) {
  function EIGEN_DEVICE_FUNC (line 355) | EIGEN_DEVICE_FUNC  constexpr IndexPairList(const internal::IndexTuple<Fi...
  function EIGEN_DEVICE_FUNC (line 356) | EIGEN_DEVICE_FUNC  constexpr IndexPairList() : internal::IndexTuple<Firs...
  function Index (line 389) | constexpr Index array_get(IndexList<FirstType, OtherTypes...>& a) {
  function Index (line 392) | constexpr Index array_get(const IndexList<FirstType, OtherTypes...>& a) {
  function EIGEN_DEVICE_FUNC (line 398) | EIGEN_DEVICE_FUNC static constexpr bool run(const Index) {
  function run (line 405) | static constexpr bool run(const Index i) {
  function run (line 412) | static constexpr bool run(const Index i) {
  function run (line 420) | static constexpr bool run() {
  function run (line 427) | static constexpr bool run() {
  function run (line 434) | static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 442) | EIGEN_DEVICE_FUNC static constexpr bool run() {
  function run (line 449) | static constexpr bool run() {
  function run (line 456) | static constexpr bool run() {
  function EIGEN_DEVICE_FUNC (line 464) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 471) | static constexpr bool run(const Index i, const Index value) {
  function run (line 479) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 488) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 495) | static constexpr bool run(const Index i, const Index value) {
  function run (line 503) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 512) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 519) | static constexpr bool run(const Index i, const Index value) {
  function run (line 527) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 537) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 544) | static constexpr bool run(const Index i, const Index value) {
  function run (line 552) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 562) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 569) | static constexpr bool run(const Index i, const Index value) {
  function run (line 577) | static constexpr bool run(const Index i, const Index value) {
  function EIGEN_DEVICE_FUNC (line 587) | EIGEN_DEVICE_FUNC static constexpr bool run(Index, Index) {
  function run (line 594) | static constexpr bool run(const Index i, const Index value) {
  function run (line 602) | static constexpr bool run(const Index i, const Index value) {
  function namespace (line 614) | namespace Eigen {
  function namespace (line 688) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorInflation.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 58) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 59) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 60) | typedef typename Eigen::internal::nested<TensorInflationOp>::type Nested;
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorInflationOp>::StorageKind...
  type typename (line 62) | typedef typename Eigen::internal::traits<TensorInflationOp>::Index Index;
  type typename (line 84) | typedef typename XprType::Index Index;
  type DSizes (line 86) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 87) | typedef typename XprType::Scalar Scalar;
  type typename (line 88) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 89) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 91) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 92) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 105) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 108) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 142) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 146) | EIGEN_STRONG_INLINE void cleanup() {
  function getInputIndex (line 152) | bool getInputIndex(Index index, Index* inputIndex) const
  function CoeffReturnType (line 189) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 202) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 216) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorInitializer.h
  type std (line 30) | typedef std::initializer_list<
  function run (line 33) | static void run(TensorEvaluator<Derived, DefaultDevice>& tensor,

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorIntDiv.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorLayoutSwap.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 75) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::Scalar Sca...
  type typename (line 76) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 77) | typedef typename internal::remove_const<typename
  type typename (line 78) | typedef typename Eigen::internal::nested<TensorLayoutSwapOp>::type Nested;
  type typename (line 79) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::StorageKin...
  type typename (line 80) | typedef typename Eigen::internal::traits<TensorLayoutSwapOp>::Index Index;
  function m_xpr (line 82) | TensorLayoutSwapOp(const XprType& expr)
  type typename (line 100) | typedef typename XprType::Index Index;
  type DSizes (line 102) | typedef DSizes<Index, NumDims> Dimensions;
  type internal (line 115) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 118) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function bind (line 128) | void bind(cl::sycl::handler &cgh) const {
  type typename (line 133) | typedef typename XprType::Scalar Scalar;
  type typename (line 134) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 135) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 136) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 137) | typedef typename Storage::Type EvaluatorPointerType;
  function EIGEN_STRONG_INLINE (line 141) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 144) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 148) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 154) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 159) | TensorOpCost costPerCoeff(bool vectorized) const {
  type TensorLayoutSwapOp (line 181) | typedef TensorLayoutSwapOp<ArgType> XprType;
  type internal (line 193) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 196) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 200) | typedef typename XprType::Index Index;
  type typename (line 201) | typedef typename XprType::Scalar Scalar;
  type typename (line 202) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 203) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  function writePacket (line 210) | void writePacket(Index index, const PacketReturnType& x)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMap.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMeta.h
  type max_n_1 (line 45) | struct max_n_1
  type typename (line 53) | typedef typename internal::packet_traits<Scalar>::type type;
  type ulonglong2 (line 59) | typedef ulonglong2 Packet4h2;
  type PacketType (line 61) | struct PacketType
  type Packet4h2 (line 62) | typedef Packet4h2 type;
  function namespace (line 93) | namespace TensorSycl {
  type OutScalar (line 124) | typedef OutScalar PacketReturnType;
  type typename (line 130) | typedef typename Eigen::PacketType<OutScalar, Device>::type PacketReturn...
  function Index (line 133) | Index roundUp(Index x, Index y) {
  type PacketType (line 141) | struct PacketType
  type half (line 142) | typedef half type;
  type Scalar (line 161) | typedef Scalar type;
  type Scalar (line 162) | typedef Scalar half;
  type PacketType (line 207) | struct PacketType
  type PacketType (line 208) | struct PacketType
  type U (line 220) | typedef U first_type;
  type V (line 221) | typedef V second_type;
  function EIGEN_STRONG_INLINE (line 223) | EIGEN_STRONG_INLINE

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorReshapingOp>::Scalar Scalar;
  type typename (line 61) | typedef typename internal::remove_const<typename
  type typename (line 62) | typedef typename Eigen::internal::nested<TensorReshapingOp>::type Nested;
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorReshapingOp>::StorageKind...
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorReshapingOp>::Index Index;
  type NewDimensions (line 89) | typedef NewDimensions Dimensions;
  type typename (line 91) | typedef typename XprType::Index Index;
  type typename (line 92) | typedef typename XprType::Scalar Scalar;
  type typename (line 93) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 94) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 95) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 96) | typedef typename Storage::Type EvaluatorPointerType;
  type StorageMemory (line 97) | typedef StorageMemory<typename
  type ReshapingKind (line 102) | enum ReshapingKind {
  type typename (line 135) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 138) | typedef internal::TensorBlockDescriptor<NumOutputDims, Index> TensorBloc...
  type internal (line 139) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 141) | typedef
  function EIGEN_STRONG_INLINE (line 147) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function evalSubExprsIfNeededAsync (line 159) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 165) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function EIGEN_STRONG_INLINE (line 168) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 172) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 178) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 183) | TensorOpCost costPerCoeff(bool vectorized) const {
  type BlockIteratorState (line 194) | struct BlockIteratorState {
  function bind (line 230) | void bind(cl::sycl::handler &cgh) const {
  type TensorReshapingOp (line 247) | typedef TensorReshapingOp<NewDimensions, ArgType> XprType;
  type NewDimensions (line 248) | typedef NewDimensions Dimensions;
  function EIGEN_STRONG_INLINE (line 260) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 264) | typedef typename XprType::Index Index;
  type typename (line 265) | typedef typename XprType::Scalar Scalar;
  type typename (line 266) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 267) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 270) | typedef internal::TensorBlockDescriptor<TensorEvaluator::NumOutputDims, ...
  function writePacket (line 280) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 286) | void writeBlock(
  function namespace (line 311) | namespace internal {
  type TensorSlicingOp (line 329) | typedef const TensorSlicingOp<StartIndices, Sizes, XprType>EIGEN_DEVICE_...
  type typename (line 347) | typedef typename Eigen::internal::traits<TensorSlicingOp>::Scalar Scalar;
  type typename (line 348) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 349) | typedef typename Eigen::internal::nested<TensorSlicingOp>::type Nested;
  type typename (line 350) | typedef typename Eigen::internal::traits<TensorSlicingOp>::StorageKind S...
  type typename (line 351) | typedef typename Eigen::internal::traits<TensorSlicingOp>::Index Index;
  function EIGEN_DEVICE_FUNC (line 377) | EIGEN_DEVICE_FUNC MemcpyTriggerForSlicing(const Device& device) : thresh...
  function EIGEN_DEVICE_FUNC (line 378) | EIGEN_DEVICE_FUNC bool operator ()(Index total, Index contiguous) const {
  function EIGEN_DEVICE_FUNC (line 400) | EIGEN_DEVICE_FUNC MemcpyTriggerForSlicing(const SyclDevice&) { }
  function EIGEN_DEVICE_FUNC (line 401) | EIGEN_DEVICE_FUNC bool operator ()(Index, Index contiguous) const { retu...
  type typename (line 414) | typedef typename XprType::Index Index;
  type typename (line 415) | typedef typename XprType::Scalar Scalar;
  type typename (line 416) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 417) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Sizes (line 418) | typedef Sizes Dimensions;
  type StorageMemory (line 419) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type StorageMemory (line 420) | typedef StorageMemory<typename
  type typename (line 421) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 437) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 440) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 441) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 444) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  function EIGEN_STRONG_INLINE (line 495) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function evalSubExprsIfNeededAsync (line 531) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 537) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 541) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 551) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 605) | TensorOpCost costPerCoeff(bool vectorized) const {
  function typename (line 626) | typename Storage::Type data() const {
  function bind (line 663) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 669) | Index srcCoeff(Index index) const
  type TensorSlicingOp (line 709) | typedef TensorSlicingOp<StartIndices, Sizes, ArgType> XprType;
  type typename (line 712) | typedef typename XprType::Index Index;
  type typename (line 713) | typedef typename XprType::Scalar Scalar;
  type typename (line 714) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 715) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Sizes (line 716) | typedef Sizes Dimensions;
  type typename (line 728) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 731) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 732) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  function EIGEN_STRONG_INLINE (line 735) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function writePacket (line 749) | void writePacket(Index index, const PacketReturnType& x)
  function writeBlock (line 800) | void writeBlock(
  function namespace (line 807) | namespace internal {
  type TensorStridingSlicingOp (line 825) | typedef const TensorStridingSlicingOp<StartIndices, StopIndices, Strides...
  type typename (line 842) | typedef typename internal::traits<TensorStridingSlicingOp>::Scalar Scalar;
  type typename (line 843) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 844) | typedef typename internal::nested<TensorStridingSlicingOp>::type Nested;
  type typename (line 845) | typedef typename internal::traits<TensorStridingSlicingOp>::StorageKind ...
  type typename (line 846) | typedef typename internal::traits<TensorStridingSlicingOp>::Index Index;
  type typename (line 880) | typedef typename XprType::Index Index;
  type typename (line 881) | typedef typename XprType::Scalar Scalar;
  type typename (line 882) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 883) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 884) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 885) | typedef typename Storage::Type EvaluatorPointerType;
  type Strides (line 886) | typedef Strides Dimensions;
  type internal (line 900) | typedef internal::TensorBlockNotImplemented TensorBlock;
  type typename (line 927) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  function EIGEN_STRONG_INLINE (line 985) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 990) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 994) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 1003) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 1012) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 1017) | Index srcCoeff(Index index) const
  function Index (line 1038) | Index clamp(Index value, Index min, Index max) {
  type TensorStridingSlicingOp (line 1064) | typedef TensorStridingSlicingOp<StartIndices, StopIndices, Strides, ArgT...
  type internal (line 1078) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 1081) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 1085) | typedef typename XprType::Index Index;
  type typename (line 1086) | typedef typename XprType::Scalar Scalar;
  type typename (line 1087) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 1088) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type Strides (line 1089) | typedef Strides Dimensions;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorPadding.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 61) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 62) | typedef typename Eigen::internal::nested<TensorPaddingOp>::type Nested;
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorPaddingOp>::StorageKind S...
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorPaddingOp>::Index Index;
  type typename (line 90) | typedef typename XprType::Index Index;
  type DSizes (line 92) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 93) | typedef typename XprType::Scalar Scalar;
  type typename (line 94) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 95) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 97) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 98) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 110) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 113) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 114) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 116) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 156) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 163) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 169) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 173) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 210) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 218) | TensorOpCost costPerCoeff(bool vectorized) const {
  type internal (line 357) | typedef internal::StridedLinearBufferCopy<ScalarNoConst, Index> LinCopy;
  function bind (line 490) | void bind(cl::sycl::handler &cgh) const {
  type BlockIteratorState (line 496) | struct BlockIteratorState {
  function PacketReturnType (line 683) | PacketReturnType packetWithPossibleZero(Index index) const

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorPatch.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 61) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 62) | typedef typename Eigen::internal::nested<TensorPatchOp>::type Nested;
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorPatchOp>::StorageKind Sto...
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorPatchOp>::Index Index;
  type typename (line 87) | typedef typename XprType::Index Index;
  type DSizes (line 89) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 90) | typedef typename XprType::Scalar Scalar;
  type typename (line 91) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 92) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 94) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 95) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 109) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 112) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 157) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 162) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 166) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 198) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 264) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorRandom.h
  function namespace (line 16) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 210) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 269) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 282) | EIGEN_STRONG_INLINE

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
  function namespace (line 26) | namespace Eigen {
  function run (line 72) | static void run(const InputDims& input_dims,
  function Sizes (line 90) | struct DimInitializer<Sizes<> > {
  function reduce (line 145) | void reduce(const Self& self, typename Self::Index firstIndex, Op& reduc...
  function EIGEN_STRONG_INLINE (line 155) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index f...
  function EIGEN_STRONG_INLINE (line 164) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index i...
  function typename (line 177) | typename Self::CoeffReturnType reduce(const Self& self, typename Self::I...
  function Index (line 235) | inline Index LeafSize() { return 1024; }
  function Index (line 237) | inline Index LeafSize<half>() { return 200; }
  function Index (line 239) | inline Index LeafSize<bfloat16>() { return 128; }
  function reduce (line 294) | void reduce(const Self&, typename Self::Index, Op&, typename Self::Packe...
  function EIGEN_STRONG_INLINE (line 312) | EIGEN_STRONG_INLINE void reduce(const Self& self, typename Self::Index f...
  function EIGEN_STRONG_INLINE (line 348) | EIGEN_STRONG_INLINE void reduce(const Self&, typename Self::Index, Op&, ...
  function EIGEN_DEVICE_FUNC (line 358) | static EIGEN_DEVICE_FUNC void run(const Self& self, Op& reducer, const D...
  function run (line 370) | void run(const Self& self, typename Self::Index firstIndex,
  function run (line 386) | static void run(const Self& self, Op& reducer, const ThreadPoolDevice& d...
  function EIGEN_DEVICE_FUNC (line 441) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  function EIGEN_DEVICE_FUNC (line 452) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  function EIGEN_DEVICE_FUNC (line 464) | EIGEN_DEVICE_FUNC static bool run(const Self&, Op&, const Device&, typen...
  type typename (line 504) | typedef typename remove_const<decltype(std::declval<Op>().initialize())>...
  type typename (line 506) | typedef typename remove_const<CoeffReturnType>::type type;
  type typename (line 516) | typedef typename Eigen::internal::traits<TensorReductionOp>::Scalar Scalar;
  type typename (line 517) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 518) | typedef typename internal::remove_const<typename
  type typename (line 519) | typedef typename Eigen::internal::nested<TensorReductionOp>::type Nested;
  type typename (line 520) | typedef typename Eigen::internal::traits<TensorReductionOp>::StorageKind...
  type typename (line 521) | typedef typename Eigen::internal::traits<TensorReductionOp>::Index Index;
  type Dims (line 551) | typedef Dims ReducedDims;
  type TensorReductionOp (line 552) | typedef TensorReductionOp<Op, Dims, ArgType, MakePointer_> XprType;
  type typename (line 553) | typedef typename XprType::Index Index;
  type ArgType (line 554) | typedef ArgType ChildType;
  type typename (line 555) | typedef typename TensorEvaluator<ArgType, Device>::Dimensions InputDimen...
  type typename (line 560) | typedef typename XprType::Scalar Scalar;
  type TensorReductionEvaluatorBase (line 561) | typedef TensorReductionEvaluatorBase<const TensorReductionOp<Op, Dims, A...
  type typename (line 563) | typedef typename internal::ReductionReturnType<Op, typename
  type typename (line 564) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 567) | typedef typename Eigen::internal::traits<XprType>::PointerType TensorPoi...
  type StorageMemory (line 568) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 569) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 597) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 600) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 688) | EIGEN_STRONG_INLINE
  function evalSubExprsIfNeededAsync (line 797) | void
  function EIGEN_STRONG_INLINE (line 806) | EIGEN_STRONG_INLINE
  function EIGEN_STRONG_INLINE (line 812) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 820) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 840) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 883) | TensorOpCost costPerCoeff(bool vectorized) const {
  function bind (line 899) | void bind(cl::sycl::handler &cgh) const {
  type internal (line 906) | struct internal
  type internal (line 907) | struct internal
  type internal (line 908) | struct internal
  type internal (line 909) | struct internal
  type internal (line 911) | struct internal
  type internal (line 928) | struct internal
  type internal (line 932) | struct internal
  type BlockIteratorState (line 934) | struct BlockIteratorState {
  function Index (line 942) | Index firstInput(Index index) const {
  function EIGEN_STRONG_INLINE (line 1017) | EIGEN_STRONG_INLINE TensorEvaluator(const typename Base::XprType& op, co...
  type TensorReductionEvaluatorBase (line 1025) | typedef TensorReductionEvaluatorBase<const TensorReductionOp<Op, Dims, A...
  function EIGEN_STRONG_INLINE (line 1026) | EIGEN_STRONG_INLINE TensorEvaluator(const typename Base::XprType& op, co...
  function typename (line 1029) | typename Base::CoeffReturnType coeff(typename Base::Index index) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReductionSycl.h
  function namespace (line 32) | namespace Eigen {
  type typename (line 122) | typedef typename Evaluator::Index Index;
  type OpDefiner (line 123) | typedef OpDefiner<OpType, typename
  type typename (line 127) | typedef typename OpDef::type Op;
  type typename (line 128) | typedef typename Evaluator::EvaluatorPointerType EvaluatorPointerType;
  type typename (line 129) | typedef typename Evaluator::PacketReturnType PacketReturnType;
  type typename (line 130) | typedef
  type cl (line 133) | typedef cl::sycl::accessor<OutType, 1, cl::sycl::access::mode::read_writ...
  type typename (line 219) | typedef typename Evaluator::EvaluatorPointerType EvaluatorPointerType;
  type typename (line 220) | typedef typename Evaluator::Index Index;
  type OpDefiner (line 221) | typedef OpDefiner<OpType, CoeffReturnType, Index, false> OpDef;
  type typename (line 222) | typedef typename OpDef::type Op;
  function reduction_dim (line 252) | enum class reduction_dim { inner_most, outer_most };
  type typename (line 365) | typedef typename OpDef::type Op;
  type cl (line 366) | typedef cl::sycl::accessor<OutScalar, 1, cl::sycl::access::mode::read_wr...
  type SecondStepPartialReduction (line 457) | typedef SecondStepPartialReduction<CoeffReturnType, Index, EvaluatorPoin...
  function namespace (line 477) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorRef.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 108) | typedef typename Base::Scalar Scalar;
  function virtual (line 112) | virtual ~TensorLazyEvaluator() {
  type typename (line 130) | typedef typename PlainObjectType::Base Base;
  type typename (line 131) | typedef typename Eigen::internal::nested<Self>::type Nested;
  type typename (line 132) | typedef typename internal::traits<PlainObjectType>::StorageKind StorageK...
  type typename (line 133) | typedef typename internal::traits<PlainObjectType>::Index Index;
  type typename (line 134) | typedef typename internal::traits<PlainObjectType>::Scalar Scalar;
  type typename (line 135) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 136) | typedef typename Base::CoeffReturnType CoeffReturnType;
  type Scalar (line 137) | typedef Scalar* PointerType;
  type PointerType (line 138) | typedef PointerType PointerArgType;
  type typename (line 141) | typedef typename PlainObjectType::Dimensions Dimensions;
  type internal (line 154) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function m_evaluator (line 161) | TensorRef(const Expression& expr) : m_evaluator(new internal::TensorLazy...
  function m_evaluator (line 177) | TensorRef(const TensorRef& other) : m_evaluator(other.m_evaluator) {
  function Index (line 195) | Index dimension(Index n) const { return m_evaluator->dimensions()[n]; }
  function Scalar (line 201) | const Scalar* data() const { return m_evaluator->data(); }
  function Scalar (line 204) | const Scalar operator()(Index index) const
  function Scalar (line 211) | const Scalar operator()(Index firstIndex, IndexTypes... otherIndices) const
  function Scalar (line 227) | const Scalar operator()(Index i0, Index i1) const
  function Scalar (line 235) | const Scalar operator()(Index i0, Index i1, Index i2) const
  function Scalar (line 244) | const Scalar operator()(Index i0, Index i1, Index i2, Index i3) const
  function Scalar (line 254) | const Scalar operator()(Index i0, Index i1, Index i2, Index i3, Index i4...
  function Scalar (line 305) | const Scalar coeff(const array<Index, NumIndices>& indices) const
  function Scalar (line 342) | const Scalar coeff(Index index) const
  type typename (line 371) | typedef typename Derived::Index Index;
  type typename (line 372) | typedef typename Derived::Scalar Scalar;
  type typename (line 373) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 374) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 375) | typedef typename Derived::Dimensions Dimensions;
  type StorageMemory (line 376) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 377) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 390) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 393) | EIGEN_STRONG_INLINE TensorEvaluator(const TensorRef<Derived>& m, const D...
  function EIGEN_STRONG_INLINE (line 399) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function EIGEN_STRONG_INLINE (line 403) | EIGEN_STRONG_INLINE void cleanup() { }
  function CoeffReturnType (line 405) | CoeffReturnType coeff(Index index) const {
  function EIGEN_DEVICE_FUNC (line 413) | EIGEN_DEVICE_FUNC const Scalar* data() const { return m_ref.data(); }
  type typename (line 424) | typedef typename Derived::Index Index;
  type typename (line 425) | typedef typename Derived::Scalar Scalar;
  type typename (line 426) | typedef typename Derived::Scalar CoeffReturnType;
  type typename (line 427) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type typename (line 428) | typedef typename Derived::Dimensions Dimensions;
  type TensorEvaluator (line 430) | typedef TensorEvaluator<const TensorRef<Derived>, Device> Base;
  type internal (line 441) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 444) | EIGEN_STRONG_INLINE TensorEvaluator(TensorRef<Derived>& m, const Device&...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorReverse.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorReverseOp>::Scalar Scalar;
  type typename (line 61) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 62) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 63) | typedef typename Eigen::internal::nested<TensorReverseOp>::type Nested;
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorReverseOp>::StorageKind
  type typename (line 66) | typedef typename Eigen::internal::traits<TensorReverseOp>::Index Index;
  type typename (line 92) | typedef typename XprType::Index Index;
  type DSizes (line 94) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 95) | typedef typename XprType::Scalar Scalar;
  type typename (line 96) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 97) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 99) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 100) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 112) | typedef internal::TensorIntDivisor<Index> IndexDivisor;
  type internal (line 115) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 116) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 118) | typedef typename TensorEvaluator<const ArgType, Device>::TensorBlock
  type typename (line 121) | typedef typename internal::TensorMaterializedBlock<CoeffReturnType, NumD...
  function EIGEN_STRONG_INLINE (line 154) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType) {
  function evalSubExprsIfNeededAsync (line 161) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 167) | EIGEN_STRONG_INLINE void cleanup() {
  function Index (line 171) | Index reverseIndex(
  function CoeffReturnType (line 209) | CoeffReturnType coeff(
  function EIGEN_STRONG_INLINE (line 215) | EIGEN_STRONG_INLINE
  function TensorOpCost (line 357) | TensorOpCost costPerCoeff(bool vectorized) const {
  type TensorReverseOp (line 416) | typedef TensorReverseOp<ReverseDimensions, ArgType> XprType;
  type typename (line 417) | typedef typename XprType::Index Index;
  type DSizes (line 419) | typedef DSizes<Index, NumDims> Dimensions;
  function EIGEN_STRONG_INLINE (line 430) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  type typename (line 433) | typedef typename XprType::Scalar Scalar;
  type typename (line 434) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 435) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type internal (line 439) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function writePacket (line 450) | void writePacket(Index index, const PacketReturnType& x) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorScan.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 56) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 57) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 58) | typedef typename Eigen::internal::nested<TensorScanOp>::type Nested;
  type typename (line 59) | typedef typename Eigen::internal::traits<TensorScanOp>::StorageKind Stor...
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorScanOp>::Index Index;
  function namespace (line 83) | namespace internal {
  function EIGEN_STRONG_INLINE (line 213) | EIGEN_STRONG_INLINE Index AdjustBlockSize(Index item_size, Index block_s...
  function ScanKernel (line 339) | void ScanKernel(Self self, Index total_size, typename Self::CoeffReturnT...
  type typename (line 381) | typedef typename XprType::Index Index;
  type ArgType (line 382) | typedef const ArgType ChildTypeNoConst;
  type ArgType (line 383) | typedef const ArgType ChildType;
  type DSizes (line 385) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 386) | typedef typename internal::remove_const<typename
  type typename (line 387) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 388) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type TensorEvaluator (line 389) | typedef TensorEvaluator<const TensorScanOp<Op, ArgType>, Device> Self;
  type StorageMemory (line 390) | typedef StorageMemory<Scalar, Device> Storage;
  type typename (line 391) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 404) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 469) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType data) {
  function PacketReturnType (line 484) | PacketReturnType packet(Index index) const {
  function CoeffReturnType (line 493) | CoeffReturnType coeff(Index index) const
  function TensorOpCost (line 498) | TensorOpCost costPerCoeff(bool) const {
  function EIGEN_STRONG_INLINE (line 502) | EIGEN_STRONG_INLINE void cleanup() {
  function bind (line 512) | void bind(cl::sycl::handler &cgh) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorScanSycl.h
  function namespace (line 42) | namespace Eigen {
  function namespace (line 469) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorShuffling.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorShufflingOp>::Scalar Scalar;
  type typename (line 61) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 62) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 63) | typedef typename Eigen::internal::nested<TensorShufflingOp>::type Nested;
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorShufflingOp>::StorageKind...
  type typename (line 65) | typedef typename Eigen::internal::traits<TensorShufflingOp>::Index Index;
  type TensorShufflingOp (line 91) | typedef TensorShufflingOp<Shuffle, ArgType> XprType;
  type typename (line 92) | typedef typename XprType::Index Index;
  type DSizes (line 94) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 95) | typedef typename XprType::Scalar Scalar;
  type typename (line 96) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 97) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 99) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 100) | typedef typename Storage::Type EvaluatorPointerType;
  type typename (line 112) | typedef typename internal::remove_const<Scalar>::type ScalarNoConst;
  type internal (line 115) | typedef internal::TensorBlockDescriptor<NumDims, Index> TensorBlockDesc;
  type internal (line 116) | typedef internal::TensorBlockScratchAllocator<Device> TensorBlockScratch;
  type typename (line 118) | typedef typename internal::TensorMaterializedBlock<ScalarNoConst, NumDims,
  function EIGEN_STRONG_INLINE (line 123) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 169) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function evalSubExprsIfNeededAsync (line 176) | void evalSubExprsIfNeededAsync(
  function EIGEN_STRONG_INLINE (line 182) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 186) | CoeffReturnType coeff(Index index) const
  function PacketReturnType (line 198) | static PacketReturnType Run(const Self& self, Index index) {
  function EIGEN_STRONG_INLINE (line 228) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  type internal (line 262) | typedef internal::TensorBlockIO<ScalarNoConst, Index, NumDims, Layout>
  type typename (line 264) | typedef typename TensorBlockIO::Dst TensorBlockIODst;
  type typename (line 265) | typedef typename TensorBlockIO::Src TensorBlockIOSrc;
  function TensorOpCost (line 283) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h
  function namespace (line 22) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorStriding.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::internal::traits<TensorStridingOp>::Scalar Scalar;
  type typename (line 61) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 62) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 63) | typedef typename Eigen::internal::nested<TensorStridingOp>::type Nested;
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorStridingOp>::StorageKind ...
  type typename (line 65) | typedef typename Eigen::internal::traits<TensorStridingOp>::Index Index;
  type typename (line 90) | typedef typename XprType::Index Index;
  type DSizes (line 92) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 93) | typedef typename XprType::Scalar Scalar;
  type typename (line 94) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 95) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 97) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 98) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 111) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 114) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 147) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType/*data...
  function EIGEN_STRONG_INLINE (line 151) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 155) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 161) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 210) | TensorOpCost costPerCoeff(bool vectorized) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorTrace.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 60) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 61) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 62) | typedef typename Eigen::internal::nested<TensorTraceOp>::type Nested;
  type typename (line 63) | typedef typename Eigen::internal::traits<TensorTraceOp>::StorageKind Sto...
  type typename (line 64) | typedef typename Eigen::internal::traits<TensorTraceOp>::Index Index;
  type typename (line 90) | typedef typename XprType::Index Index;
  type DSizes (line 91) | typedef DSizes<Index, NumOutputDims> Dimensions;
  type typename (line 92) | typedef typename XprType::Scalar Scalar;
  type typename (line 93) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 94) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 96) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 97) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 110) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 113) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 216) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 221) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 225) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 247) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const {
  function bind (line 262) | void bind(cl::sycl::handler &cgh) const {
  function Index (line 269) | Index firstInput(Index index) const {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorTraits.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 92) | typedef typename BaseTraits::Scalar Scalar;
  type typename (line 93) | typedef typename BaseTraits::StorageKind StorageKind;
  type typename (line 94) | typedef typename BaseTraits::Index Index;
  type MakePointer_ (line 103) | typedef MakePointer_<T> MakePointerT;
  type typename (line 104) | typedef typename MakePointerT::Type Type;
  type typename (line 106) | typedef typename MakePointer<Scalar>::Type PointerType;
  type typename (line 114) | typedef typename BaseTraits::Scalar Scalar;
  type typename (line 115) | typedef typename BaseTraits::StorageKind StorageKind;
  type typename (line 116) | typedef typename BaseTraits::Index Index;
  type typename (line 123) | typedef typename BaseTraits::PointerType PointerType;
  type Tensor (line 130) | typedef const Tensor<Scalar_, NumIndices_, Options, IndexType_>EIGEN_DEV...
  type Tensor (line 136) | typedef const Tensor<Scalar_, NumIndices_, Options, IndexType_>EIGEN_DEV...
  type TensorFixedSize (line 142) | typedef const TensorFixedSize<Scalar_, Dimensions, Options, IndexType_>E...
  type TensorFixedSize (line 148) | typedef const TensorFixedSize<Scalar_, Dimensions, Options, IndexType_>E...
  type TensorMap (line 154) | typedef const TensorMap<PlainObjectType, Options, MakePointer>EIGEN_DEVI...
  type TensorMap (line 160) | typedef const TensorMap<PlainObjectType, Options, MakePointer>EIGEN_DEVI...
  type TensorRef (line 166) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type TensorRef (line 172) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type typename (line 178) | typedef typename ref_selector<T>::type type;
  type TensorRef (line 209) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type TensorRef (line 215) | typedef const TensorRef<PlainObjectType>EIGEN_DEVICE_REF type;
  type PaddingType (line 259) | typedef enum {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorUInt128.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h
  function namespace (line 9) | namespace Eigen {
  type typename (line 61) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Scalar Sc...
  type typename (line 62) | typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
  type typename (line 63) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 64) | typedef typename Eigen::internal::nested<TensorVolumePatchOp>::type Nested;
  type typename (line 65) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::StorageKi...
  type typename (line 66) | typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Index Index;
  type typename (line 174) | typedef typename XprType::Index Index;
  type DSizes (line 177) | typedef DSizes<Index, NumDims> Dimensions;
  type typename (line 178) | typedef typename internal::remove_const<typename
  type typename (line 179) | typedef typename XprType::CoeffReturnType CoeffReturnType;
  type typename (line 180) | typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnT...
  type StorageMemory (line 182) | typedef StorageMemory<CoeffReturnType, Device> Storage;
  type typename (line 183) | typedef typename Storage::Type EvaluatorPointerType;
  type internal (line 196) | typedef internal::TensorBlockNotImplemented TensorBlock;
  function EIGEN_STRONG_INLINE (line 199) | EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& dev...
  function EIGEN_STRONG_INLINE (line 357) | EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(EvaluatorPointerType /*dat...
  function EIGEN_STRONG_INLINE (line 362) | EIGEN_STRONG_INLINE void cleanup() {
  function CoeffReturnType (line 366) | CoeffReturnType coeff(Index index) const
  function EIGEN_STRONG_INLINE (line 422) | EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
  function TensorOpCost (line 510) | TensorOpCost

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/DynamicSymmetry.h
  function namespace (line 15) | namespace Eigen {
  function add (line 29) | void add(Gen_) { add(Gen_::One, Gen_::Two, Gen_::Flags); }
  function addSymmetry (line 30) | inline void addSymmetry(int one, int two) { add(one, two, 0); }
  function addAntiSymmetry (line 31) | inline void addAntiSymmetry(int one, int two) { add(one, two, NegationFl...
  function addHermiticity (line 32) | inline void addHermiticity(int one, int two) { add(one, two, Conjugation...
  function addAntiHermiticity (line 33) | inline void addAntiHermiticity(int one, int two) { add(one, two, Negatio...
  function RV (line 36) | inline RV apply(const std::array<Index, N>& idx, RV initial, Args&&... a...
  function RV (line 45) | RV apply(const std::vector<Index>& idx, RV initial, Args&&... args) const
  type GroupElement (line 69) | struct GroupElement {
  function DynamicSGroup (line 163) | inline DynamicSGroupFromTemplateArgs(DynamicSGroupFromTemplateArgs const...
  function DynamicSGroup (line 164) | inline DynamicSGroupFromTemplateArgs(DynamicSGroupFromTemplateArgs&& oth...
  function add_all (line 170) | void add_all(internal::type_list<Gen1, GenNext...>)
  function add_all (line 176) | inline void add_all(internal::type_list<>)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/StaticSymmetry.h
  function namespace (line 15) | namespace Eigen {
  type indices_ (line 36) | typedef indices_ indices;
  type tensor_static_symgroup_element (line 43) | typedef tensor_static_symgroup_element<
  type tensor_static_symgroup_element (line 52) | typedef tensor_static_symgroup_element<
  type typename (line 72) | typedef typename B::indices iib;
  type tensor_static_symgroup_element (line 79) | typedef tensor_static_symgroup_element<
  type typename (line 88) | typedef typename A::indices iia;
  type typename (line 89) | typedef typename B::indices iib;
  type tensor_static_symgroup (line 117) | struct tensor_static_symgroup
  function std (line 130) | inline std::vector<Index> tensor_static_symgroup_index_permute(std::vect...
  type internal (line 186) | typedef internal::group_theory::enumerate_group_elements<
  type typename (line 192) | typedef typename group_elements::type ge;
  function RV (line 199) | static inline RV apply(const std::array<Index, N>& idx, RV initial, Args...
  function RV (line 205) | inline RV apply(const std::vector<Index>& idx, RV initial, Args&&... args)
  function size (line 213) | constexpr static inline std::size_t size() {
  function globalFlags (line 216) | constexpr static inline int globalFlags() { return group_elements::globa...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/Symmetry.h
  function namespace (line 15) | namespace Eigen {
  function namespace (line 154) | namespace internal {
  type StaticSGroup (line 231) | typedef StaticSGroup<> root_type;
  type tensor_symmetry_pre_analysis (line 235) | struct tensor_symmetry_pre_analysis
  type tensor_static_symgroup_if (line 239) | typedef tensor_static_symgroup_if<(sizeof...(Gens_) + 1 <= max_static_ge...
  type typename (line 242) | typedef typename conditional<
  type tensor_static_symgroup_if (line 250) | struct tensor_static_symgroup_if
  type tensor_static_symgroup_if (line 257) | struct tensor_static_symgroup_if
  type typename (line 262) | typedef typename Tensor_::Index Index;
  type typename (line 263) | typedef typename Tensor_::Scalar Scalar;
  function run (line 266) | static inline int run(const std::array<Index, NumIndices>& transformed_i...
  type typename (line 281) | typedef typename Tensor_::Index Index;
  function run (line 284) | static inline int run(const std::array<Index, NumIndices>& transformed_i...
  type typename (line 303) | typedef typename Tensor_::Scalar Scalar;
  function doAssign (line 319) | inline void doAssign(Scalar const& value)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/TensorSymmetry/util/TemplateGroupTheory.h
  function namespace (line 15) | namespace Eigen {
  type type_list (line 223) | typedef type_list<first_generator> generators_done;
  type dimino_first_step_elements_helper (line 225) | typedef dimino_first_step_elements_helper<
  type typename (line 234) | typedef typename helper::type type;
  type typename (line 266) | typedef typename apply_op_from_right<Multiply, new_coset_rep, sub_group_...
  type contained_in_list_gf (line 319) | typedef contained_in_list_gf<Equality, new_coset_rep, elements> _cil;
  type typename (line 322) | typedef typename dimino_get_coset_elements<
  type dimino_add_cosets_for_rep (line 329) | typedef dimino_add_cosets_for_rep<
  type typename (line 340) | typedef typename _helper::type type;
  type typename (line 394) | typedef typename get<rep_pos, elements>::type rep_element;
  type dimino_add_cosets_for_rep (line 395) | typedef dimino_add_cosets_for_rep<
  type typename (line 405) | typedef typename _ac4r::type new_elements;
  type dimino_add_all_coset_spaces (line 410) | typedef dimino_add_all_coset_spaces<
  type typename (line 422) | typedef typename _helper::type type;
  type typename (line 469) | typedef typename apply_op_from_right<Multiply, current_generator, elemen...
  type typename (line 470) | typedef typename concat<elements, multiplied_elements>::type new_elements;
  type dimino_add_all_coset_spaces (line 474) | typedef dimino_add_all_coset_spaces<
  type typename (line 485) | typedef typename _helper::type type;
  type contained_in_list_gf (line 529) | typedef contained_in_list_gf<Equality, first_generator, elements> _cil;
  type dimino_add_generator (line 531) | typedef dimino_add_generator<
  type typename (line 541) | typedef typename _helper::type new_elements;
  type dimino_add_remaining_generators (line 543) | typedef dimino_add_remaining_generators<
  type typename (line 552) | typedef typename _next_iter::type type;
  type typename (line 596) | typedef typename first_step::type first_step_elements;
  type dimino_add_remaining_generators (line 598) | typedef dimino_add_remaining_generators<
  type typename (line 607) | typedef typename _helper::type type;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/ThreadPool/Barrier.h
  function namespace (line 18) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/ThreadPool/EventCount.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/ThreadPool/NonBlockingThreadPool.h
  function namespace (line 15) | namespace Eigen {
  function EncodePartition (line 177) | inline unsigned EncodePartition(unsigned start, unsigned limit) {
  function DecodePartition (line 181) | inline void DecodePartition(unsigned val, unsigned* start, unsigned* lim...
  function AssertBounds (line 187) | void AssertBounds(int start, int end) {
  function SetStealPartition (line 193) | inline void SetStealPartition(size_t i, unsigned val) {
  function GetStealPartition (line 197) | inline unsigned GetStealPartition(int i) {
  function ComputeCoprimes (line 201) | void ComputeCoprimes(int N, MaxSizeVector<unsigned>* coprimes) {
  type typename (line 217) | typedef typename Environment::EnvThread Thread;
  function else (line 219) | struct PerThread {
  function Task (line 338) | Task Steal(unsigned start, unsigned limit) {
  function Task (line 364) | Task LocalSteal() {
  function Task (line 378) | Task GlobalSteal() {
  function WaitForWork (line 386) | bool WaitForWork(EventCount::Waiter* waiter, Task* t) {
  function NonEmptyQueueIndex (line 433) | int NonEmptyQueueIndex() {
  function EIGEN_STRONG_INLINE (line 454) | static EIGEN_STRONG_INLINE uint64_t GlobalThreadIdHash() {
  function EIGEN_STRONG_INLINE (line 458) | EIGEN_STRONG_INLINE PerThread* GetPerThread() {
  function Rand (line 474) | static EIGEN_STRONG_INLINE unsigned Rand(uint64_t* state) {
  type ThreadPoolTempl (line 484) | typedef ThreadPoolTempl<StlThreadEnvironment> ThreadPool;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/ThreadPool/RunQueue.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadEnvironment.h
  function namespace (line 15) | namespace Eigen {
  function Task (line 36) | Task CreateTask(std::function<void()> f) { return Task{std::move(f)}; }
  function ExecuteTask (line 37) | void ExecuteTask(const Task& t) { t.f(); }

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadLocal.h
  function namespace (line 67) | namespace Eigen {
  type ThreadIdAndValue (line 259) | struct ThreadIdAndValue {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/ThreadPool/ThreadPoolInterface.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/util/CXX11Meta.h
  function namespace (line 18) | namespace Eigen {
  type a (line 71) | typedef a type;
  type take (line 81) | struct take
  type type_list (line 81) | typedef type_list<> type;
  type h_skip_helper_type (line 99) | struct h_skip_helper_type
  type type_list (line 99) | typedef type_list<> type;
  function type (line 105) | type helper(numeric_list<T, ii...>) { return typename h_skip_helper_nume...
  function type (line 107) | type helper(type_list<tt...>) { return typename h_skip_helper_type<n, tt...
  type type (line 110) | typedef decltype(h_skip<n>::helper(a())) type;
  type t (line 130) | typedef t type;
  type t (line 131) | typedef t type;
  function run (line 269) | int run() { return Reducer::Identity; }
  function EIGEN_STRONG_INLINE (line 277) | constexpr static EIGEN_STRONG_INLINE A run(A a) { return a; }
  function EIGEN_STRONG_INLINE (line 286) | constexpr static EIGEN_STRONG_INLINE auto run(A a, Ts... ts) -> decltype...
  type sum_op (line 293) | struct sum_op           {
  type product_op (line 297) | struct product_op       {
  type logical_and_op (line 302) | struct logical_and_op   { template<typename A, typename B> constexpr sta...
  type logical_or_op (line 303) | struct logical_or_op    { template<typename A, typename B> constexpr sta...
  type equal_op (line 305) | struct equal_op         { template<typename A, typename B> constexpr sta...
  type not_equal_op (line 306) | struct not_equal_op     { template<typename A, typename B> constexpr sta...
  type lesser_op (line 307) | struct lesser_op        { template<typename A, typename B> constexpr sta...
  type lesser_equal_op (line 308) | struct lesser_equal_op  { template<typename A, typename B> constexpr sta...
  type greater_op (line 309) | struct greater_op       { template<typename A, typename B> constexpr sta...
  type greater_equal_op (line 310) | struct greater_equal_op { template<typename A, typename B> constexpr sta...
  type not_op (line 314) | struct not_op                { template<typename A> constexpr static EIG...
  type negation_op (line 315) | struct negation_op           { template<typename A> constexpr static EIG...
  type greater_equal_zero_op (line 316) | struct greater_equal_zero_op { template<typename A> constexpr static EIG...
  function EIGEN_STRONG_INLINE (line 325) | constexpr EIGEN_STRONG_INLINE decltype(reduce<product_op, Ts...>::run((*...
  function EIGEN_STRONG_INLINE (line 339) | EIGEN_STRONG_INLINE Array h_array_reverse(Array arr, numeric_list<int, n...
  function T (line 369) | T run(const array<T, N>& arr, T)
  function EIGEN_STRONG_INLINE (line 378) | constexpr static EIGEN_STRONG_INLINE T run(const array<T, 0>&, T identity)
  function EIGEN_STRONG_INLINE (line 385) | constexpr EIGEN_STRONG_INLINE auto array_reduce(const array<T, N>& arr, ...
  function EIGEN_STRONG_INLINE (line 393) | constexpr EIGEN_STRONG_INLINE auto array_sum(const array<T, N>& arr) -> ...
  function EIGEN_STRONG_INLINE (line 399) | constexpr EIGEN_STRONG_INLINE auto array_prod(const array<T, N>& arr) ->...
  function EIGEN_STRONG_INLINE (line 405) | EIGEN_STRONG_INLINE t array_prod(const std::vector<t>& a) {
  function EIGEN_STRONG_INLINE (line 429) | constexpr EIGEN_STRONG_INLINE auto h_array_zip_and_reduce(array<A, N> a,...
  function decltype (line 435) | auto array_zip_and_reduce(array<A, N> a, array<B, N> b) -> decltype(h_ar...
  function EIGEN_STRONG_INLINE (line 457) | constexpr EIGEN_STRONG_INLINE auto h_array_apply_and_reduce(array<A, N> ...
  function decltype (line 463) | auto array_apply_and_reduce(array<A, N> a) -> decltype(h_array_apply_and...
  type h_instantiate_by_c_array (line 488) | struct h_instantiate_by_c_array
  type h_instantiate_by_c_array (line 491) | struct h_instantiate_by_c_array
  function InstType (line 493) | static InstType run(ArrType* arr, Ps... args)
  type h_instantiate_by_c_array (line 500) | struct h_instantiate_by_c_array
  function InstType (line 502) | static InstType run(ArrType* arr, Ps... args)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/util/CXX11Workarounds.h
  function namespace (line 42) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/util/EmulateArray.h
  function namespace (line 18) | namespace Eigen {
  function namespace (line 197) | namespace internal {
  function namespace (line 228) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/CXX11/src/util/MaxSizeVector.h
  function namespace (line 13) | namespace Eigen {
  function T (line 115) | const T& back() const {
  function T (line 133) | T* data() { return data_; }
  function T (line 136) | const T* data() const { return data_; }
  function T (line 139) | T* begin() { return data_; }
  function T (line 142) | T* end() { return data_ + size_; }
  function T (line 145) | const T* begin() const { return data_; }
  function T (line 148) | const T* end() const { return data_ + size_; }

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffJacobian.h
  function namespace (line 15) | namespace Eigen

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffScalar.h
  function namespace (line 15) | namespace Eigen {
  function AutoDiffScalar (line 299) | inline AutoDiffScalar<EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(DerType,Sca...
  function namespace (line 385) | namespace internal {
  function AutoDiffScalar (line 420) | inline AutoDiffScalar<DerivativeType>& operator+=(const Real& other)
  function run (line 479) | static void run(A& a, B& b) {
  function run (line 495) | static void run(A& a, B& b) {
  type Matrix (line 513) | typedef Matrix<B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols...
  function run (line 514) | static void run(A& a, B& b) {
  type AutoDiffScalar (line 572) | typedef AutoDiffScalar<typename
  function typename (line 580) | typename DerType::Scalar imag(const AutoDiffScalar<DerType>&)    { retur...
  type typename (line 583) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 588) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 593) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 598) | typedef typename CleanedUpDerType<DerType>::type ADS;
  type typename (line 659) | typedef typename internal::traits<typename internal::remove_all<DerTypeA...
  type AutoDiffScalar (line 660) | typedef AutoDiffScalar<Matrix<Scalar,Dynamic,1> > PlainADS;
  type AutoDiffScalar (line 708) | typedef AutoDiffScalar<Matrix<typename
  type AutoDiffScalar (line 710) | typedef AutoDiffScalar<DerType> NonInteger;
  type AutoDiffScalar (line 711) | typedef AutoDiffScalar<DerType> Nested;
  type typename (line 712) | typedef typename NumTraits<typename DerTypeCleaned::Scalar>::Literal Lit...
  function namespace (line 720) | namespace std {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/AutoDiff/AutoDiffVector.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/BVH/BVAlgorithms.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/BVH/KdBVH.h
  function namespace (line 15) | namespace Eigen {
  type _Object (line 74) | typedef _Object Object;
  type std (line 75) | typedef std::vector<Object, aligned_allocator<Object> > ObjectList;
  type Scalar_ (line 76) | typedef Scalar_ Scalar;
  type AlignedBox (line 77) | typedef AlignedBox<Scalar, Dim> Volume;
  type std (line 78) | typedef std::vector<Volume, aligned_allocator<Volume> > VolumeList;
  type Index (line 79) | typedef int Index;
  type Object (line 81) | typedef const Object *ObjectIterator;
  function EIGEN_STRONG_INLINE (line 135) | EIGEN_STRONG_INLINE void getChildren(Index index, VolumeIterator &outVBe...
  function Volume (line 167) | inline const Volume &getVolume(Index index) const
  type std (line 174) | typedef std::vector<VIPair, aligned_allocator<VIPair> > VIPairList;
  type Matrix (line 175) | typedef Matrix<Scalar, Dim, 1> VectorType;
  type VectorComparator (line 176) | struct VectorComparator //compares vectors, or more specifically, VIPair...
  function build (line 186) | void build(VIPairList &objCenters, int from, int to, const VolumeList &o...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Eigenvalues/ArpackSelfAdjointEigenSolver.h
  function namespace (line 17) | namespace Eigen {
  function seupd (line 698) | static inline void seupd(int *rvec, char *All, int *select, float *d,
  type arpack_wrapper (line 710) | struct arpack_wrapper
  function saupd (line 712) | static inline void saupd(int *ido, char *bmat, int *n, char *which,
  function seupd (line 720) | static inline void seupd(int *rvec, char *All, int *select, double *d,
  function project (line 762) | static inline void project(MatrixSolver &OP, int n, int k, Scalar *vecs)
  function project (line 780) | static inline void project(MatrixSolver &OP, int n, int k, Scalar *vecs)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/EulerAngles/EulerAngles.h
  function namespace (line 15) | namespace Eigen
  function namespace (line 325) | namespace internal
  function run (line 338) | static void run(EulerAngles<Scalar, System>& e, const Other& m)
  function run (line 349) | static void run(EulerAngles<Scalar, System>& e, const Other& vec)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/EulerAngles/EulerSystem.h
  function namespace (line 15) | namespace Eigen

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/FFT/ei_fftw_impl.h
  function namespace (line 12) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/FFT/ei_kissfft_impl.h
  function namespace (line 12) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h
  function namespace (line 38) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/DGMRES.h
  function namespace (line 17) | namespace Eigen {
  type MatrixType_ (line 115) | typedef MatrixType_ MatrixType;
  type typename (line 116) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 117) | typedef typename MatrixType::StorageIndex StorageIndex;
  type typename (line 118) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 119) | typedef Preconditioner_ Preconditioner;
  type Matrix (line 120) | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
  type Matrix (line 121) | typedef Matrix<RealScalar,Dynamic,Dynamic> DenseRealMatrix;
  type Matrix (line 122) | typedef Matrix<Scalar,Dynamic,1> DenseVector;
  type Matrix (line 123) | typedef Matrix<RealScalar,Dynamic,1> DenseRealVector;
  type Matrix (line 124) | typedef Matrix<std::complex<RealScalar>, Dynamic, 1> ComplexVector;
  function Index (line 160) | Index restart() { return m_restart; }
  function set_restart (line 165) | void set_restart(const Index restart) { m_restart=restart; }
  function setEigenv (line 170) | void setEigenv(const Index neig)
  function Index (line 179) | Index deflSize() {return m_r; }
  function setMaxEigenv (line 184) | void setMaxEigenv(const Index maxNeig) { m_maxNeig = maxNeig; }

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/GMRES.h
  function namespace (line 16) | namespace Eigen {
  type MatrixType_ (line 285) | typedef MatrixType_ MatrixType;
  type typename (line 286) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 287) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 288) | typedef Preconditioner_ Preconditioner;
  function Index (line 312) | Index get_restart() { return m_restart; }
  function set_restart (line 317) | void set_restart(const Index restart) { m_restart=restart; }

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/IDRS.h
  function namespace (line 18) | namespace Eigen

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/IncompleteLU.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/IterationController.h
  function namespace (line 63) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/MINRES.h
  function namespace (line 19) | namespace Eigen {
  type MatrixType_ (line 208) | typedef MatrixType_ MatrixType;
  type typename (line 209) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 210) | typedef typename MatrixType::RealScalar RealScalar;
  type Preconditioner_ (line 211) | typedef Preconditioner_ Preconditioner;
  type typename (line 240) | typedef typename Base::MatrixWrapper MatrixWrapper;
  type typename (line 241) | typedef typename Base::ActualMatrixType ActualMatrixType;
  type typename (line 248) | typedef typename internal::conditional<TransposeInput,Transpose<const Ac...
  type typename (line 250) | typedef typename internal::conditional<UpLo==(Lower|Upper),

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/IterativeSolvers/Scaling.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h
  function namespace (line 17) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMcovar.h
  function namespace (line 17) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMonestep.h
  function namespace (line 19) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMpar.h
  function namespace (line 17) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/LevenbergMarquardt/LMqrsolv.h
  function namespace (line 20) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/LevenbergMarquardt/LevenbergMarquardt.h
  function namespace (line 25) | namespace Eigen {
  type Scalar_ (line 73) | typedef Scalar_ Scalar;
  type Index_ (line 74) | typedef Index_ Index;
  type Matrix (line 75) | typedef Matrix<Scalar,Dynamic,1> InputType;
  type Matrix (line 76) | typedef Matrix<Scalar,Dynamic,1> ValueType;
  type SparseMatrix (line 77) | typedef SparseMatrix<Scalar, ColMajor, Index> JacobianType;
  type SparseQR (line 78) | typedef SparseQR<JacobianType, COLAMDOrdering<int> > QRSolver;
  function namespace (line 97) | namespace internal {
  type typename (line 116) | typedef typename FunctorType::QRSolver QRSolver;
  type typename (line 117) | typedef typename FunctorType::JacobianType JacobianType;
  type typename (line 118) | typedef typename JacobianType::Scalar Scalar;
  type typename (line 119) | typedef typename JacobianType::RealScalar RealScalar;
  type typename (line 120) | typedef typename QRSolver::StorageIndex PermIndex;
  type Matrix (line 121) | typedef Matrix<Scalar,Dynamic,1> FVectorType;
  type PermutationMatrix (line 122) | typedef PermutationMatrix<Dynamic,Dynamic,int> PermutationType;
  function resetParameters (line 147) | void resetParameters()
  function setXtol (line 160) | void setXtol(RealScalar xtol) { m_xtol = xtol; }
  function setFtol (line 163) | void setFtol(RealScalar ftol) { m_ftol = ftol; }
  function setGtol (line 166) | void setGtol(RealScalar gtol) { m_gtol = gtol; }
  function setFactor (line 169) | void setFactor(RealScalar factor) { m_factor = factor; }
  function setEpsilon (line 172) | void setEpsilon (RealScalar epsfcn) { m_epsfcn = epsfcn; }
  function setMaxfev (line 175) | void setMaxfev(Index maxfev) {m_maxfev = maxfev; }
  function setExternalScaling (line 178) | void setExternalScaling(bool value) {m_useExternalScaling  = value; }
  function Index (line 202) | Index iterations() { return m_iter; }
  function Index (line 205) | Index nfev() { return m_nfev; }
  function Index (line 208) | Index njev() { return m_njev; }
  function RealScalar (line 211) | RealScalar fnorm() {return m_fnorm; }
  function RealScalar (line 214) | RealScalar gnorm() {return m_gnorm; }
  function RealScalar (line 217) | RealScalar lm_param(void) { return m_par; }
  function PermutationType (line 234) | PermutationType permutation() {return m_permutation; }
  function Status (line 345) | Status
  function Scalar (line 373) | Scalar tol

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
  function namespace (line 18) | namespace Eigen {
  function true_type (line 350) | struct is_exp_known_type<float> : true_type {}
  function true_type (line 351) | struct is_exp_known_type<double> : true_type {}
  function true_type (line 353) | struct is_exp_known_type<long double> : true_type {}
  type typename (line 359) | typedef typename ArgType::PlainObject MatrixType;
  type typename (line 379) | typedef typename ArgType::PlainObject MatrixType;
  type typename (line 380) | typedef typename traits<MatrixType>::Scalar Scalar;
  type typename (line 381) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type typename (line 382) | typedef typename std::complex<RealScalar> ComplexScalar;
  function namespace (line 426) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h
  function namespace (line 18) | namespace Eigen {
  type typename (line 135) | typedef typename EivalsType::RealScalar RealScalar;
  type typename (line 285) | typedef typename MatrixType::Scalar Scalar;
  type internal (line 327) | typedef internal::traits<MatrixType> Traits;
  type typename (line 328) | typedef typename MatrixType::Scalar Scalar;
  type Matrix (line 330) | typedef Matrix<Scalar, Dynamic, Dynamic, Options, Traits::RowsAtCompileT...
  function run (line 395) | void run(const MatA& A, AtomicType& atomic, ResultType &result)
  function run (line 419) | void run(const MatA& A, AtomicType& atomic, ResultType &result)
  type typename (line 477) | typedef typename internal::stem_function<Scalar>::type StemFunction;
  type typename (line 498) | typedef typename internal::nested_eval<Derived, 10>::type NestedEvalType;
  type typename (line 499) | typedef typename internal::remove_all<NestedEvalType>::type NestedEvalTy...
  type internal (line 500) | typedef internal::traits<NestedEvalTypeClean> Traits;
  type std (line 501) | typedef std::complex<typename
  type Matrix (line 502) | typedef Matrix<ComplexScalar, Dynamic, Dynamic, 0, Traits::RowsAtCompile...
  type internal (line 504) | typedef internal::MatrixFunctionAtomic<DynMatrixType> AtomicType;
  function namespace (line 518) | namespace internal {
  type typename (line 541) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 549) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 557) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...
  type typename (line 565) | typedef typename internal::stem_function<Scalar>::ComplexScalar ComplexS...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 95) | typedef typename MatrixType::Scalar Scalar;
  type typename (line 96) | typedef typename MatrixType::RealScalar RealScalar;
  type std (line 97) | typedef std::complex<RealScalar> ComplexScalar;
  type Block (line 98) | typedef Block<MatrixType,Dynamic,Dynamic> ResultType;
  type typename (line 343) | typedef typename MatrixType::RealScalar RealScalar;
  function MatrixPowerParenthesesReturnValue (line 368) | const MatrixPowerParenthesesReturnValue<MatrixType> operator()(RealScala...
  type Matrix (line 386) | typedef Matrix<ComplexScalar, Dynamic, Dynamic, 0,
  type typename (line 602) | typedef typename Derived::RealScalar RealScalar;
  type typename (line 649) | typedef typename std::complex<typename
  function namespace (line 681) | namespace internal {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/MatrixFunctions/StemFunction.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/MoreVectorization/MathFunctions.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h
  function namespace (line 18) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h
  function namespace (line 18) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/chkder.h
  function namespace (line 6) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/covar.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/dogleg.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/lmpar.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/qrsolv.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/r1mpyq.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/r1updt.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NonLinearOptimization/rwupdt.h
  function namespace (line 3) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h
  function namespace (line 18) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Polynomials/Companion.h
  function namespace (line 19) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Polynomials/PolynomialSolver.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 342) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
  type typename (line 345) | typedef typename internal::conditional<NumTraits<Scalar>::IsComplex, Sca...

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Polynomials/PolynomialUtils.h
  function namespace (line 15) | namespace Eigen {
  type typename (line 103) | typedef typename Polynomial::Scalar Scalar;
  type typename (line 104) | typedef typename NumTraits<Scalar>::Real Real;
  type typename (line 132) | typedef typename Polynomial::Scalar Scalar;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Skyline/SkylineInplaceLU.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Skyline/SkylineMatrix.h
  function namespace (line 18) | namespace Eigen {
  function Index (line 100) | inline Index upperNonZeros(Index j) const {
  function Index (line 104) | inline Index lowerNonZeros(Index j) const {
  function Scalar (line 108) | inline const Scalar* _diagPtr() const {
  function Scalar (line 112) | inline Scalar* _diagPtr() {
  function Scalar (line 116) | inline const Scalar* _upperPtr() const {
  function Scalar (line 120) | inline Scalar* _upperPtr() {
  function Scalar (line 124) | inline const Scalar* _lowerPtr() const {
  function Scalar (line 128) | inline Scalar* _lowerPtr() {
  function Index (line 132) | inline const Index* _upperProfilePtr() const {
  function Index (line 136) | inline Index* _upperProfilePtr() {
  function Index (line 140) | inline const Index* _lowerProfilePtr() const {
  function Index (line 144) | inline Index* _lowerProfilePtr() {
  function Scalar (line 148) | inline Scalar coeff(Index row, Index col) const {
  function Scalar (line 197) | inline Scalar& coeffRef(Index row, Index col) {
  function Scalar (line 236) | inline Scalar coeffDiag(Index idx) const {
  function Scalar (line 242) | inline Scalar coeffLower(Index row, Index col) const {
  function Scalar (line 266) | inline Scalar coeffUpper(Index row, Index col) const {
  function Scalar (line 289) | inline Scalar& coeffRefDiag(Index idx) {
  function Scalar (line 295) | inline Scalar& coeffRefLower(Index row, Index col) {
  function coeffExistLower (line 314) | inline bool coeffExistLower(Index row, Index col) {
  function Scalar (line 331) | inline Scalar& coeffRefUpper(Index row, Index col) {
  function coeffExistUpper (line 350) | inline bool coeffExistUpper(Index row, Index col) {
  function setZero (line 378) | inline void setZero() {
  function reserve (line 390) | inline void reserve(Index reserveSize, Index reserveUpperSize, Index res...
  function EIGEN_DONT_INLINE (line 402) | EIGEN_DONT_INLINE Scalar & insert(Index row, Index col) {
  function finalize (line 536) | inline void finalize() {
  function squeeze (line 579) | inline void squeeze() {
  function resizeNonZeros (line 628) | void resizeNonZeros(Index size) {
  function Scalar (line 824) | inline Scalar* valuePtr() {
  function Scalar (line 828) | inline Scalar& valueRef() {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Skyline/SkylineMatrixBase.h
  function namespace (line 17) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Skyline/SkylineProduct.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Skyline/SkylineStorage.h
  function namespace (line 15) | namespace Eigen {
  function clear (line 134) | inline void clear() {
  function Scalar (line 138) | inline Scalar& diag(Index i) {
  function Scalar (line 142) | inline const Scalar& diag(Index i) const {
  function Scalar (line 146) | inline Scalar& upper(Index i) {
  function Scalar (line 150) | inline const Scalar& upper(Index i) const {
  function Scalar (line 154) | inline Scalar& lower(Index i) {
  function Scalar (line 158) | inline const Scalar& lower(Index i) const {
  function Index (line 162) | inline Index& upperProfile(Index i) {
  function Index (line 166) | inline const Index& upperProfile(Index i) const {
  function Index (line 170) | inline Index& lowerProfile(Index i) {
  function Index (line 174) | inline const Index& lowerProfile(Index i) const {
  function SkylineStorage (line 178) | static SkylineStorage Map(Index* upperProfile, Index* lowerProfile, Scal...
  function reset (line 191) | inline void reset() {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Skyline/SkylineUtil.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SparseExtra/BlockSparseMatrix.h
  function namespace (line 16) | namespace Eigen {
  type typename (line 91) | typedef typename Iterator::value_type Triplet;
  type Ref (line 108) | typedef Ref<typename
  type typename (line 109) | typedef typename BlockSparseMatrixT::Index Index;
  type BlockSparseMatrixT (line 110) | typedef  BlockSparseMatrixT Nested;
  function Scalar (line 136) | Scalar coeff(Index row, Index col)
  function Scalar (line 140) | Scalar coeffRef(Index row, Index col)
  function class (line 145) | class InnerIterator : public BlockSparseMatrixT::BlockInnerIterator
  type Ref (line 169) | typedef Ref<const Matrix<typename
  type typename (line 170) | typedef typename BlockSparseMatrixT::Index Index;
  function Scalar (line 183) | inline Scalar coeff(Index bi) const
  function Scalar (line 189) | inline Scalar coeff(Index bi, Index j) const
  type Ref (line 213) | typedef Ref<Matrix<typename
  type typename (line 214) | typedef typename BlockSparseMatrixT::Index Index;
  function Scalar (line 223) | inline Scalar coeffRef(Index bi)
  function Scalar (line 229) | inline Scalar coeffRef(Index bi, Index j)
  function namespace (line 245) | namespace internal {
  function BlockSparseTimeDenseProduct (line 270) | EIGEN_PRODUCT_PUBLIC_INTERFACE(BlockSparseTimeDenseProduct)
  type Scalar_ (line 289) | typedef Scalar_ Scalar;
  type typename (line 290) | typedef typename NumTraits<Scalar>::Real RealScalar;
  type StorageIndex_ (line 291) | typedef StorageIndex_ StorageIndex;
  type typename (line 292) | typedef typename internal::ref_selector<BlockSparseMatrix<Scalar_, _Bloc...
  type Matrix (line 305) | typedef Matrix<Scalar, _BlockAtCompileTime, _BlockAtCompileTime,IsColMaj...
  type Matrix (line 306) | typedef Matrix<RealScalar, _BlockAtCompileTime, _BlockAtCompileTime,IsCo...
  type typename (line 307) | typedef typename internal::conditional<_BlockAtCompileTime==Dynamic, Sca...
  type BlockSparseMatrix (line 308) | typedef BlockSparseMatrix<Scalar, BlockSize, IsColMajor ? ColMajor : Row...
  function resize (line 540) | inline void resize(Index brow, Index bcol)
  function setBlockSize (line 551) | inline void setBlockSize(Index blockSize)
  function setBlockLayout (line 565) | inline void setBlockLayout(const VectorXi& rowBlocks, const VectorXi& co...
  function reserve (line 598) | inline void reserve(const Index nonzerosblocks)
  function Index (line 781) | inline Index outerToBlock(Index outer) const
  function Index (line 793) | inline Index innerToBlock(Index inner) const
  function BlockScalarReturnType (line 866) | inline BlockScalarReturnType *valuePtr() {return static_cast<BlockScalar...
  function StorageIndex (line 868) | inline StorageIndex *innerIndexPtr() {return m_indices; }
  function StorageIndex (line 869) | inline const StorageIndex *innerIndexPtr() const {return m_indices; }
  function StorageIndex (line 870) | inline StorageIndex *outerIndexPtr() {return m_outerIndex; }
  function StorageIndex (line 871) | inline const StorageIndex* outerIndexPtr() const {return m_outerIndex; }
  function Index (line 878) | inline Index blockRowsIndex(Index bi) const
  function Index (line 886) | inline Index blockColsIndex(Index bj) const
  function Index (line 891) | inline Index blockOuterIndex(Index bj) const
  function Index (line 895) | inline Index blockInnerIndex(Index bi) const
  function Index (line 901) | inline Index blockInnerSize(Index bi) const
  function Index (line 905) | inline Index blockOuterSize(Index bj) const
  function Index (line 938) | Index blockPtr(Index id) const
  function Map (line 996) | inline Map<BlockScalar> valueRef()
  function Scalar (line 1056) | inline Scalar& valueRef()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SparseExtra/MarketIO.h
  function namespace (line 19) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SparseExtra/MatrixMarketIterator.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SparseExtra/RandomSetter.h
  function namespace (line 16) | namespace google {}
  function namespace (line 21) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsArrayAPI.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsBFloat16.h
  function namespace (line 13) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsFunctors.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsHalf.h
  function namespace (line 13) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsImpl.h
  function namespace (line 15) | namespace Eigen {
  function T (line 255) | T run(const T& x) {
  function T (line 323) | T run(const T& x) {
  function T (line 404) | T run(const T x) {
  type T (line 411) | typedef T type;
  function T (line 417) | T run(const T& x) {
  function T (line 427) | T run(const T x) {
  type T (line 434) | typedef T type;
  function T (line 442) | T run(const T&) {
  function T (line 450) | T run(const T& x) {
  function T (line 513) | T run(const T& x) {
  function T (line 590) | T run(const T x) {
  type T (line 597) | typedef T type;
  function T (line 605) | T run(const T&) {
  function T (line 613) | T run(const T& x) {
  function T (line 684) | T run(const T& x) {
  function T (line 762) | T run(const T x) {
  type T (line 769) | typedef T type;
  function T (line 777) | T run(const T&) {
  function T (line 785) | T run(const T& x) {
  function T (line 847) | T run(const T& x) {
  function T (line 918) | T run(const T x) {
  type T (line 925) | typedef T type;
  function T (line 933) | T run(const T&) {
  function T (line 941) | T run(const T& x) {
  function T (line 1008) | T run(const T& x) {
  function T (line 1084) | T run(const T x) {
  type T (line 1091) | typedef T type;
  function T (line 1099) | T run(const T&) {
  function T (line 1107) | T run(const T& x) {
  function T (line 1186) | T run(const T& x) {
  function T (line 1284) | T run(const T x) {
  type T (line 1291) | typedef T type;
  function T (line 1299) | T run(const T&) {
  function T (line 1307) | T run(const T& x) {
  function T (line 1389) | T run(const T& x) {
  function T (line 1482) | T run(const T x) {
  type T (line 1489) | typedef T type;
  function T (line 1497) | T run(const T&) {
  function T (line 1505) | T run(const T& x) {
  function T (line 1585) | T run(const T& x) {
  function T (line 1673) | T run(const T x) {
  type T (line 1680) | typedef T type;
  function T (line 1688) | T run(const T&) {
  function T (line 1696) | T run(const T& x) {
  function T (line 1783) | T run(const T& x) {
  function T (line 1876) | T run(const T x) {
  function namespace (line 1883) | namespace numext {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/BesselFunctionsPacketMath.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/HipVectorCompatibility.h
  function namespace (line 4) | namespace hip_impl {
  function namespace (line 10) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsArrayAPI.h
  function namespace (line 16) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsBFloat16.h
  function namespace (line 13) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsFunctors.h
  function namespace (line 16) | namespace Eigen {
  function EIGEN_STRONG_INLINE (line 134) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& x, const Scal...
  function Packet (line 138) | const Packet packetOp(const Packet& x, const Packet& a, const Packet& b)...
  function EIGEN_STRONG_INLINE (line 160) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 163) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 164) | Packet packetOp(const Packet& a) const { return internal::plgamma(a); }
  function EIGEN_STRONG_INLINE (line 182) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 185) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 186) | Packet packetOp(const Packet& a) const { return internal::pdigamma(a); }
  function EIGEN_STRONG_INLINE (line 204) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& x, const Scal...
  type typename (line 207) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 208) | Packet packetOp(const Packet& x, const Packet& q) const { return interna...
  function EIGEN_STRONG_INLINE (line 226) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& n, const Scal...
  type typename (line 229) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 230) | Packet packetOp(const Packet& n, const Packet& x) const { return interna...
  function EIGEN_STRONG_INLINE (line 248) | EIGEN_STRONG_INLINE const Scalar
  function EIGEN_STRONG_INLINE (line 253) | EIGEN_STRONG_INLINE Packet packetOp(const Packet& x) const {
  function EIGEN_STRONG_INLINE (line 287) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 290) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 291) | Packet packetOp(const Packet& a) const { return internal::perfc(a); }
  function EIGEN_STRONG_INLINE (line 310) | EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const {
  type typename (line 313) | typedef typename packet_traits<Scalar>::type Packet;
  function Packet (line 314) | Packet packetOp(const Packet& a) const { return internal::pndtri(a); }

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsHalf.h
  function namespace (line 13) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsImpl.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/SpecialFunctionsPacketMath.h
  function namespace (line 15) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX/BesselFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX512/BesselFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/arch/AVX512/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/arch/GPU/SpecialFunctions.h
  function namespace (line 13) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/SpecialFunctions/arch/NEON/SpecialFunctions.h
  function namespace (line 4) | namespace Eigen {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Splines/Spline.h
  function namespace (line 17) | namespace Eigen
  type typename (line 319) | typedef typename SplineTraits<SplineType>::ControlPointVectorType Contro...
  type typename (line 320) | typedef typename SplineTraits<SplineType,DerivativeOrder>::BasisDerivati...
  type typename (line 321) | typedef typename BasisDerivativeType::ConstRowXpr BasisDerivativeRowXpr;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Splines/SplineFitting.h
  function namespace (line 26) | namespace Eigen
  type typename (line 194) | typedef typename KnotVectorType::Scalar Scalar;
  type typename (line 218) | typedef typename SplineType::KnotVectorType KnotVectorType;
  type typename (line 219) | typedef typename SplineType::ParameterVectorType ParameterVectorType;
  type typename (line 295) | typedef typename SplineType::KnotVectorType::Scalar Scalar;
  type typename (line 296) | typedef typename SplineType::ControlPointVectorType ControlPointVectorType;
  type Matrix (line 298) | typedef Matrix<Scalar,Dynamic,Dynamic> MatrixType;
  type typename (line 341) | typedef typename SplineType::KnotVectorType::Scalar Scalar;
  type typename (line 342) | typedef typename SplineType::ControlPointVectorType ControlPointVectorType;
  type Matrix (line 344) | typedef Matrix<Scalar, Dynamic, Dynamic> MatrixType;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/Eigen/src/Splines/SplineFwd.h
  function namespace (line 16) | namespace Eigen
  type Array (line 75) | typedef Array<Scalar_,Dynamic,Dynamic,RowMajor,NumOfDerivativesAtCompile...
  type Array (line 78) | typedef Array<Scalar_,Dim_,Dynamic,DerivativeMemoryLayout,Dim_,NumOfDeri...
  type Spline (line 82) | typedef Spline<float,2> Spline2f;
  type Spline (line 85) | typedef Spline<float,3> Spline3f;
  type Spline (line 88) | typedef Spline<double,2> Spline2d;
  type Spline (line 91) | typedef Spline<double,3> Spline3d;

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/bench/bench_svd.cpp
  function bench_svd (line 34) | void bench_svd(const MatrixType& a = MatrixType())
  function main (line 105) | int main(int argc, char* argv[])

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/BVH_Example.cpp
  type Eigen (line 8) | namespace Eigen {
    function Box2d (line 9) | Box2d bounding_box(const Vector2d &v) { return Box2d(v, v); }
  type PointPointMinimizer (line 12) | struct PointPointMinimizer //how to compute squared distances between po...
    method PointPointMinimizer (line 14) | PointPointMinimizer() : calls(0) {}
    method minimumOnVolumeVolume (line 17) | double minimumOnVolumeVolume(const Box2d &r1, const Box2d &r2) { ++cal...
    method minimumOnVolumeObject (line 18) | double minimumOnVolumeObject(const Box2d &r, const Vector2d &v) { ++ca...
    method minimumOnObjectVolume (line 19) | double minimumOnObjectVolume(const Vector2d &v, const Box2d &r) { ++ca...
    method minimumOnObjectObject (line 20) | double minimumOnObjectObject(const Vector2d &v1, const Vector2d &v2) {...
  function main (line 25) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/EulerAngles.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/FFT.cpp
  function T (line 23) | T mag2(T a)
  function T (line 28) | T mag2(std::complex<T> a)
  function T (line 34) | T mag2(const std::vector<T> & vec)
  function T (line 43) | T mag2(const std::vector<std::complex<T> > & vec)
  function RandomFill (line 61) | void RandomFill(std::vector<T> & vec)
  function RandomFill (line 68) | void RandomFill(std::vector<std::complex<T> > & vec)
  function fwd_inv (line 75) | void fwd_inv(size_t nfft)
  function two_demos (line 93) | void two_demos(int nfft)
  function demo_all_types (line 101) | void demo_all_types(int nfft)
  function main (line 112) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixExponential.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixFunction.cpp
  function expfn (line 6) | std::complex<double> expfn(std::complex<double> x, int)
  function main (line 11) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixLogarithm.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixPower.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixPower_optimal.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixSine.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixSinh.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/MatrixSquareRoot.cpp
  function main (line 6) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/PolynomialSolver1.cpp
  function main (line 8) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/PolynomialUtils1.cpp
  function main (line 7) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/doc/examples/SYCL/CwiseMul.cpp
  function main (line 10) | int main()

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/BVH.cpp
  type Eigen (line 15) | namespace Eigen {
    function bounding_box (line 17) | AlignedBox<Scalar, Dim> bounding_box(const Matrix<Scalar, Dim, 1> &v) ...
  type Ball (line 23) | struct Ball
    method Ball (line 29) | Ball() {}
    method Ball (line 30) | Ball(const VectorType &c, double r) : center(c), radius(r) {}
  function bounding_box (line 35) | AlignedBox<double, Dim> bounding_box(const Ball<Dim> &b)
  function SQR (line 38) | inline double SQR(double x) { return x * x; }
  type BallPointStuff (line 41) | struct BallPointStuff //this class provides functions to be both an inte...
    method BallPointStuff (line 48) | BallPointStuff() : calls(0), count(0) {}
    method BallPointStuff (line 49) | BallPointStuff(const VectorType &inP) : p(inP), calls(0), count(0) {}
    method intersectVolume (line 52) | bool intersectVolume(const BoxType &r) { ++calls; return r.contains(p); }
    method intersectObject (line 53) | bool intersectObject(const BallType &b) {
    method intersectVolumeVolume (line 60) | bool intersectVolumeVolume(const BoxType &r1, const BoxType &r2) { ++c...
    method intersectVolumeObject (line 61) | bool intersectVolumeObject(const BoxType &r, const BallType &b) { ++ca...
    method intersectObjectVolume (line 62) | bool intersectObjectVolume(const BallType &b, const BoxType &r) { ++ca...
    method intersectObjectObject (line 63) | bool intersectObjectObject(const BallType &b1, const BallType &b2){
    method intersectVolumeObject (line 69) | bool intersectVolumeObject(const BoxType &r, const VectorType &v) { ++...
    method intersectObjectObject (line 70) | bool intersectObjectObject(const BallType &b, const VectorType &v){
    method minimumOnVolume (line 77) | double minimumOnVolume(const BoxType &r) { ++calls; return r.squaredEx...
    method minimumOnObject (line 78) | double minimumOnObject(const BallType &b) { ++calls; return (std::max)...
    method minimumOnVolumeVolume (line 79) | double minimumOnVolumeVolume(const BoxType &r1, const BoxType &r2) { +...
    method minimumOnVolumeObject (line 80) | double minimumOnVolumeObject(const BoxType &r, const BallType &b) { ++...
    method minimumOnObjectVolume (line 81) | double minimumOnObjectVolume(const BallType &b, const BoxType &r) { ++...
    method minimumOnObjectObject (line 82) | double minimumOnObjectObject(const BallType &b1, const BallType &b2){ ...
    method minimumOnVolumeObject (line 83) | double minimumOnVolumeObject(const BoxType &r, const VectorType &v) { ...
    method minimumOnObjectObject (line 84) | double minimumOnObjectObject(const BallType &b, const VectorType &v){ ...
  type TreeTest (line 93) | struct TreeTest
    method testIntersect1 (line 101) | void testIntersect1()
    method testMinimize1 (line 120) | void testMinimize1()
    method testIntersect2 (line 141) | void testIntersect2()
    method testMinimize2 (line 166) | void testMinimize2()
  function EIGEN_DECLARE_TEST (line 195) | EIGEN_DECLARE_TEST(BVH)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/EulerAngles.cpp
  function verifyIsApprox (line 18) | bool verifyIsApprox(const Eigen::EulerAngles<Scalar, System>& a, const E...
  function verify_euler (line 35) | void verify_euler(const EulerAngles<Scalar, EulerSystem>& e)
  function verify_euler_vec (line 138) | void verify_euler_vec(const Matrix<Scalar,3,1>& ea)
  function verify_euler_all_neg (line 144) | void verify_euler_all_neg(const Matrix<Scalar,3,1>& ea)
  function check_all_var (line 157) | void check_all_var(const Matrix<Scalar,3,1>& ea)
  function check_singular_cases (line 175) | void check_singular_cases(const Scalar& singularBeta)
  function eulerangles_manual (line 197) | void eulerangles_manual()
  function eulerangles_rand (line 229) | void eulerangles_rand()
  function EIGEN_DECLARE_TEST (line 276) | EIGEN_DECLARE_TEST(EulerAngles)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/FFTW.cpp
  function RandomCpx (line 14) | std::complex<T> RandomCpx() { return std::complex<T>( (T)(rand()/(T)RAND...
  function promote (line 21) | complex<long double>  promote(complex<T> x) { return complex<long double...
  function promote (line 23) | complex<long double>  promote(float x) { return complex<long double>((lo...
  function promote (line 24) | complex<long double>  promote(double x) { return complex<long double>((l...
  function promote (line 25) | complex<long double>  promote(long double x) { return complex<long doubl...
  function fft_rmse (line 29) | long double fft_rmse( const VT1 & fftbuf,const VT2 & timebuf)
  function dif_rmse (line 51) | long double dif_rmse( const VT1 buf1,const VT2 buf2)
  type VectorType (line 65) | struct VectorType
  type VectorType<StdVectorContainer,Scalar> (line 67) | struct VectorType<StdVectorContainer,Scalar>
  type VectorType<EigenVectorContainer,Scalar> (line 72) | struct VectorType<EigenVectorContainer,Scalar>
  function test_scalar_generic (line 78) | void test_scalar_generic(int nfft)
  function test_scalar (line 133) | void test_scalar(int nfft)
  function test_complex_generic (line 141) | void test_complex_generic(int nfft)
  function test_complex (line 175) | void test_complex(int nfft)
  function test_return_by_value (line 211) | void test_return_by_value(int len)
  function EIGEN_DECLARE_TEST (line 228) | EIGEN_DECLARE_TEST(FFTW)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/NonLinearOptimization.cpp
  function fcn_chkder (line 27) | int fcn_chkder(const VectorXd &x, VectorXd &fvec, MatrixXd &fjac, int if...
  function testChkder (line 70) | void testChkder()
  type Functor (line 117) | struct Functor
    method Functor (line 130) | Functor() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileTim...
    method Functor (line 131) | Functor(int inputs, int values) : m_inputs(inputs), m_values(values) {}
    method inputs (line 133) | int inputs() const { return m_inputs; }
    method values (line 134) | int values() const { return m_values; }
  type lmder_functor (line 140) | struct lmder_functor : Functor<double>
    method lmder_functor (line 142) | lmder_functor(void): Functor<double>(3,15) {}
    method df (line 159) | int df(const VectorXd &x, MatrixXd &fjac) const
  function testLmder1 (line 176) | void testLmder1()
  function testLmder (line 203) | void testLmder()
  type hybrj_functor (line 250) | struct hybrj_functor : Functor<double>
    method hybrj_functor (line 252) | hybrj_functor(void) : Functor<double>(9,9) {}
    method df (line 270) | int df(const VectorXd &x, MatrixXd &fjac)
  function testHybrj1 (line 288) | void testHybrj1()
  function testHybrj (line 319) | void testHybrj()
  type hybrd_functor (line 354) | struct hybrd_functor : Functor<double>
    method hybrd_functor (line 356) | hybrd_functor(void) : Functor<double>(9,9) {}
  function testHybrd1 (line 376) | void testHybrd1()
  function testHybrd (line 402) | void testHybrd()
  type lmstr_functor (line 436) | struct lmstr_functor : Functor<double>
    method lmstr_functor (line 438) | lmstr_functor(void) : Functor<double>(3,15) {}
    method df (line 458) | int df(const VectorXd &x, VectorXd &jac_row, VectorXd::Index rownb)
  function testLmstr1 (line 476) | void testLmstr1()
  function testLmstr (line 504) | void testLmstr()
  type lmdif_functor (line 534) | struct lmdif_functor : Functor<double>
    method lmdif_functor (line 536) | lmdif_functor(void) : Functor<double>(3,15) {}
  function testLmdif1 (line 559) | void testLmdif1()
  function testLmdif (line 589) | void testLmdif()
  type chwirut2_functor (line 637) | struct chwirut2_functor : Functor<double>
    method chwirut2_functor (line 639) | chwirut2_functor(void) : Functor<double>(3,54) {}
    method df (line 654) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistChwirut2 (line 674) | void testNistChwirut2(void)
  type misra1a_functor (line 722) | struct misra1a_functor : Functor<double>
    method misra1a_functor (line 724) | misra1a_functor(void) : Functor<double>(2,14) {}
    method df (line 736) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1a (line 752) | void testNistMisra1a(void)
  type hahn1_functor (line 794) | struct hahn1_functor : Functor<double>
    method hahn1_functor (line 796) | hahn1_functor(void) : Functor<double>(7,236) {}
    method df (line 815) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistHahn1 (line 840) | void testNistHahn1(void)
  type misra1d_functor (line 893) | struct misra1d_functor : Functor<double>
    method misra1d_functor (line 895) | misra1d_functor(void) : Functor<double>(2,14) {}
    method df (line 907) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1d (line 924) | void testNistMisra1d(void)
  type lanczos1_functor (line 967) | struct lanczos1_functor : Functor<double>
    method lanczos1_functor (line 969) | lanczos1_functor(void) : Functor<double>(6,24) {}
    method df (line 980) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistLanczos1 (line 1000) | void testNistLanczos1(void)
  type rat42_functor (line 1053) | struct rat42_functor : Functor<double>
    method rat42_functor (line 1055) | rat42_functor(void) : Functor<double>(3,9) {}
    method df (line 1068) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat42 (line 1086) | void testNistRat42(void)
  type MGH10_functor (line 1130) | struct MGH10_functor : Functor<double>
    method MGH10_functor (line 1132) | MGH10_functor(void) : Functor<double>(3,16) {}
    method df (line 1143) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH10 (line 1162) | void testNistMGH10(void)
  type BoxBOD_functor (line 1207) | struct BoxBOD_functor : Functor<double>
    method BoxBOD_functor (line 1209) | BoxBOD_functor(void) : Functor<double>(2,6) {}
    method df (line 1220) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBoxBOD (line 1236) | void testNistBoxBOD(void)
  type MGH17_functor (line 1284) | struct MGH17_functor : Functor<double>
    method MGH17_functor (line 1286) | MGH17_functor(void) : Functor<double>(5,33) {}
    method df (line 1297) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH17 (line 1316) | void testNistMGH17(void)
  type MGH09_functor (line 1369) | struct MGH09_functor : Functor<double>
    method MGH09_functor (line 1371) | MGH09_functor(void) : Functor<double>(4,11) {}
    method df (line 1384) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH09 (line 1404) | void testNistMGH09(void)
  type Bennett5_functor (line 1454) | struct Bennett5_functor : Functor<double>
    method Bennett5_functor (line 1456) | Bennett5_functor(void) : Functor<double>(3,154) {}
    method df (line 1467) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBennett5 (line 1488) | void testNistBennett5(void)
  type thurber_functor (line 1533) | struct thurber_functor : Functor<double>
    method thurber_functor (line 1535) | thurber_functor(void) : Functor<double>(7,37) {}
    method df (line 1549) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistThurber (line 1573) | void testNistThurber(void)
  type rat43_functor (line 1630) | struct rat43_functor : Functor<double>
    method rat43_functor (line 1632) | rat43_functor(void) : Functor<double>(4,15) {}
    method df (line 1643) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat43 (line 1663) | void testNistRat43(void)
  type eckerle4_functor (line 1716) | struct eckerle4_functor : Functor<double>
    method eckerle4_functor (line 1718) | eckerle4_functor(void) : Functor<double>(3,35) {}
    method df (line 1729) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistEckerle4 (line 1748) | void testNistEckerle4(void)
  function EIGEN_DECLARE_TEST (line 1792) | EIGEN_DECLARE_TEST(NonLinearOptimization)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/NumericalDiff.cpp
  type Functor (line 13) | struct Functor
    method Functor (line 26) | Functor() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileTim...
    method Functor (line 27) | Functor(int inputs_, int values_) : m_inputs(inputs_), m_values(values...
    method inputs (line 29) | int inputs() const { return m_inputs; }
    method values (line 30) | int values() const { return m_values; }
  type my_functor (line 34) | struct my_functor : Functor<double>
    method my_functor (line 36) | my_functor(void): Functor<double>(3,15) {}
    method actual_df (line 53) | int actual_df(const VectorXd &x, MatrixXd &fjac) const
  function test_forward (line 70) | void test_forward()
  function test_central (line 91) | void test_central()
  function EIGEN_DECLARE_TEST (line 110) | EIGEN_DECLARE_TEST(NumericalDiff)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/alignedvector3.cpp
  type Eigen (line 15) | namespace Eigen {
    function T (line 18) | T test_relative_error(const AlignedVector3<T> &a, const MatrixBase<Der...
  function alignedvector3 (line 26) | void alignedvector3()
  function EIGEN_DECLARE_TEST (line 84) | EIGEN_DECLARE_TEST(alignedvector3)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/autodiff.cpp
  function EIGEN_DONT_INLINE (line 14) | EIGEN_DONT_INLINE Scalar foo(const Scalar& x, const Scalar& y)
  function EIGEN_DONT_INLINE (line 26) | EIGEN_DONT_INLINE typename Vector::Scalar foo(const Vector& p)
  type TestFunc1 (line 33) | struct TestFunc1
    method TestFunc1 (line 46) | TestFunc1() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileT...
    method TestFunc1 (line 47) | TestFunc1(int inputs_, int values_) : m_inputs(inputs_), m_values(valu...
    method inputs (line 49) | int inputs() const { return m_inputs; }
    method values (line 50) | int values() const { return m_values; }
  type integratorFunctor (line 112) | struct integratorFunctor
    method integratorFunctor (line 120) | integratorFunctor(const Scalar gain) : _gain(gain) {}
    method integratorFunctor (line 121) | integratorFunctor(const integratorFunctor& f) : _gain(f._gain) {}
  function forward_jacobian_cpp11 (line 157) | void forward_jacobian_cpp11(const Func& f)
  function forward_jacobian (line 191) | void forward_jacobian(const Func& f)
  function test_autodiff_scalar (line 216) | void test_autodiff_scalar()
  function test_autodiff_vector (line 229) | void test_autodiff_vector()
  function test_autodiff_jacobian (line 243) | void test_autodiff_jacobian()
  function test_autodiff_hessian (line 257) | void test_autodiff_hessian()
  function bug_1222 (line 300) | double bug_1222() {
  function bug_1223 (line 311) | double bug_1223() {
  function bug_1260 (line 330) | void bug_1260() {
  function bug_1261 (line 337) | double bug_1261() {
  function bug_1264 (line 347) | double bug_1264() {
  function bug_1281 (line 356) | double bug_1281() {
  function EIGEN_DECLARE_TEST (line 372) | EIGEN_DECLARE_TEST(autodiff)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/autodiff_scalar.cpp
  function check_atan2 (line 18) | void check_atan2()
  function check_hyperbolic_functions (line 39) | void check_hyperbolic_functions()
  function check_limits_specialization (line 76) | void check_limits_specialization()
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(autodiff_scalar)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/bessel_functions.cpp
  function verify_component_wise (line 14) | void verify_component_wise(const X& x, const Y& y)
  function array_bessel_functions (line 28) | void array_bessel_functions()
  function EIGEN_DECLARE_TEST (line 366) | EIGEN_DECLARE_TEST(bessel_functions)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_eventcount.cpp
  function rand_reentrant (line 17) | int rand_reentrant(unsigned int* s) {
  function test_basic_eventcount (line 26) | static void test_basic_eventcount()
  type TestQueue (line 41) | struct TestQueue {
    method TestQueue (line 45) | TestQueue() : val_() {}
    method Push (line 49) | bool Push() {
    method Pop (line 60) | bool Pop() {
    method Empty (line 71) | bool Empty() { return val_.load(std::memory_order_relaxed) == 0; }
  function test_stress_eventcount (line 79) | static void test_stress_eventcount()
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(cxx11_eventcount)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_maxsizevector.cpp
  type Foo (line 7) | struct Foo
    method Foo (line 13) | Foo(int x=0) : dummy(x)
    method Foo (line 23) | Foo(const Foo&)
    class Fail (line 36) | class Fail : public std::exception {}
  function EIGEN_DECLARE_TEST (line 44) | EIGEN_DECLARE_TEST(cxx11_maxsizevector)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_meta.cpp
  type dummy_a (line 50) | struct dummy_a {}
  type dummy_b (line 51) | struct dummy_b {}
  type dummy_c (line 52) | struct dummy_c {}
  type dummy_d (line 53) | struct dummy_d {}
  type dummy_e (line 54) | struct dummy_e {}
  type dummy_op (line 57) | struct dummy_op
  type dummy_op<dummy_a, dummy_b> (line 58) | struct dummy_op<dummy_a, dummy_b> { typedef dummy_c type; }
  type dummy_op<dummy_b, dummy_a> (line 59) | struct dummy_op<dummy_b, dummy_a> { typedef dummy_d type; }
  type dummy_op<dummy_b, dummy_c> (line 60) | struct dummy_op<dummy_b, dummy_c> { typedef dummy_a type; }
  type dummy_op<dummy_c, dummy_b> (line 61) | struct dummy_op<dummy_c, dummy_b> { typedef dummy_d type; }
  type dummy_op<dummy_c, dummy_a> (line 62) | struct dummy_op<dummy_c, dummy_a> { typedef dummy_b type; }
  type dummy_op<dummy_a, dummy_c> (line 63) | struct dummy_op<dummy_a, dummy_c> { typedef dummy_d type; }
  type dummy_op<dummy_a, dummy_a> (line 64) | struct dummy_op<dummy_a, dummy_a> { typedef dummy_e type; }
  type dummy_op<dummy_b, dummy_b> (line 65) | struct dummy_op<dummy_b, dummy_b> { typedef dummy_e type; }
  type dummy_op<dummy_c, dummy_c> (line 66) | struct dummy_op<dummy_c, dummy_c> { typedef dummy_e type; }
  type dummy_test (line 68) | struct dummy_test { constexpr static bool value = false; constexpr stati...
  type dummy_test<dummy_a, dummy_a> (line 69) | struct dummy_test<dummy_a, dummy_a>     { constexpr static bool value = ...
  type dummy_test<dummy_b, dummy_b> (line 70) | struct dummy_test<dummy_b, dummy_b>     { constexpr static bool value = ...
  type dummy_test<dummy_c, dummy_c> (line 71) | struct dummy_test<dummy_c, dummy_c>     { constexpr static bool value = ...
  type times2_op (line 73) | struct times2_op { template<typename A> static A run(A v) { return v * 2...
    method A (line 73) | static A run(A v) { return v * 2; }
  type dummy_inst (line 75) | struct dummy_inst
    method dummy_inst (line 79) | dummy_inst() : c(0) {}
    method dummy_inst (line 80) | explicit dummy_inst(int) : c(1) {}
    method dummy_inst (line 81) | dummy_inst(int, int) : c(2) {}
    method dummy_inst (line 82) | dummy_inst(int, int, int) : c(3) {}
    method dummy_inst (line 83) | dummy_inst(int, int, int, int) : c(4) {}
    method dummy_inst (line 84) | dummy_inst(int, int, int, int, int) : c(5) {}
  function test_gen_numeric_list (line 87) | static void test_gen_numeric_list()
  function test_concat (line 132) | static void test_concat()
  function test_slice (line 159) | static void test_slice()
  function test_get (line 202) | static void test_get()
  function test_id_helper (line 222) | static void test_id_helper(dummy_a a, dummy_a b, dummy_a c)
  function test_id_numeric (line 230) | static void test_id_numeric()
  function test_id_type (line 236) | static void test_id_type()
  function test_id (line 241) | static void test_id()
  function test_is_same_gf (line 249) | static void test_is_same_gf()
  function test_apply_op (line 257) | static void test_apply_op()
  function test_contained_in_list (line 264) | static void test_contained_in_list()
  function test_arg_reductions (line 287) | static void test_arg_reductions()
  function test_array_reverse_and_reduce (line 295) | static void test_array_reverse_and_reduce()
  function test_array_zip_and_apply (line 310) | static void test_array_zip_and_apply()
  function test_array_misc (line 327) | static void test_array_misc()
  function EIGEN_DECLARE_TEST (line 343) | EIGEN_DECLARE_TEST(cxx11_meta)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_non_blocking_thread_pool.cpp
  function test_create_destroy_empty_pool (line 16) | static void test_create_destroy_empty_pool()
  function test_parallelism (line 26) | static void test_parallelism(bool allow_spinning)
  function test_cancel (line 105) | static void test_cancel()
  function test_pool_partitions (line 121) | static void test_pool_partitions() {
  function EIGEN_DECLARE_TEST (line 173) | EIGEN_DECLARE_TEST(cxx11_non_blocking_thread_pool)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_runqueue.cpp
  function rand_reentrant (line 19) | int rand_reentrant(unsigned int* s) {
  function test_basic_runqueue (line 28) | void test_basic_runqueue()
  function test_empty_runqueue (line 120) | void test_empty_runqueue()
  function test_stress_runqueue (line 160) | void test_stress_runqueue()
  function EIGEN_DECLARE_TEST (line 230) | EIGEN_DECLARE_TEST(cxx11_runqueue)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_argmax.cpp
  function test_simple_index_pairs (line 20) | static void test_simple_index_pairs()
  function test_index_pairs_dim (line 37) | static void test_index_pairs_dim()
  function test_argmax_pair_reducer (line 55) | static void test_argmax_pair_reducer()
  function test_argmin_pair_reducer (line 87) | static void test_argmin_pair_reducer()
  function test_simple_argmax (line 119) | static void test_simple_argmax()
  function test_simple_argmin (line 140) | static void test_simple_argmin()
  function test_argmax_dim (line 161) | static void test_argmax_dim()
  function test_argmin_dim (line 219) | static void test_argmin_dim()
  function EIGEN_DECLARE_TEST (line 276) | EIGEN_DECLARE_TEST(cxx11_tensor_argmax)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_argmax_sycl.cpp
  function test_sycl_simple_argmax (line 31) | static void test_sycl_simple_argmax(const Eigen::SyclDevice& sycl_device) {
  function test_sycl_argmax_dim (line 68) | static void test_sycl_argmax_dim(const Eigen::SyclDevice& sycl_device) {
  function test_sycl_argmin_dim (line 156) | static void test_sycl_argmin_dim(const Eigen::SyclDevice& sycl_device) {
  function sycl_argmax_test_per_device (line 243) | void sycl_argmax_test_per_device(const Device_Selector& d) {
  function EIGEN_DECLARE_TEST (line 254) | EIGEN_DECLARE_TEST(cxx11_tensor_argmax_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_assign.cpp
  function test_1d (line 17) | static void test_1d()
  function test_2d (line 70) | static void test_2d()
  function test_3d (line 131) | static void test_3d()
  function test_same_type (line 183) | static void test_same_type()
  function test_auto_resize (line 225) | static void test_auto_resize()
  function test_compound_assign (line 250) | static void test_compound_assign()
  function test_std_initializers_tensor (line 282) | static void test_std_initializers_tensor() {
  function EIGEN_DECLARE_TEST (line 355) | EIGEN_DECLARE_TEST(cxx11_tensor_assign)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_block_access.cpp
  function TensorOpCost (line 24) | static TensorOpCost zeroCost() { return {0, 0, 0}; }
  function T (line 27) | static const T& choose(int layout, const T& col, const T& row) {
  function TensorBlockShapeType (line 31) | static TensorBlockShapeType RandomShape() {
  function RandomTargetSize (line 38) | static size_t RandomTargetSize(const DSizes<Index, NumDims>& dims) {
  function RandomDims (line 43) | static DSizes<Index, NumDims> RandomDims() {
  function T (line 52) | static T* GenerateRandomData(const Index& size) {
  function Debug (line 61) | static void Debug(DSizes<Index, NumDims> dims) {
  function test_block_mapper_sanity (line 69) | static void test_block_mapper_sanity()
  function UpdateCoeffSet (line 103) | static void UpdateCoeffSet(
  function test_block_mapper_maps_every_element (line 124) | static void test_block_mapper_maps_every_element() {
  function Index (line 153) | static Index GetInputIndex(Index output_index,
  function ComputeStrides (line 178) | static array<Index, NumDims> ComputeStrides(
  class EqualityChecker (line 196) | class EqualityChecker
    method check_recursive (line 200) | void check_recursive(const Scalar* input, const Scalar* output, int de...
    method EqualityChecker (line 214) | EqualityChecker(const Scalar* input_data_,
  function test_uniform_block_shape (line 229) | static void test_uniform_block_shape()
  function test_skewed_inner_dim_block_shape (line 356) | static void test_skewed_inner_dim_block_shape()
  function test_empty_dims (line 508) | static void test_empty_dims(const internal::TensorBlockShapeType block_s...
  function EIGEN_DECLARE_TEST (line 566) | EIGEN_DECLARE_TEST(cxx11_tensor_block_access) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_block_eval.cpp
  function RandomDims (line 20) | static DSizes<Index, NumDims> RandomDims(Index min, Index max) {
  type TensorBlockParams (line 31) | struct TensorBlockParams {
  function RandomBlock (line 38) | static TensorBlockParams<NumDims> RandomBlock(DSizes<Index, NumDims> dims,
  function SkewedInnerBlock (line 62) | static TensorBlockParams<NumDims> SkewedInnerBlock(
  function FixedSizeBlock (line 100) | static TensorBlockParams<NumDims> FixedSizeBlock(DSizes<Index, NumDims> ...
  function NByOne (line 107) | inline Eigen::IndexList<Index, Eigen::type2index<1>> NByOne(Index n) {
  function OneByM (line 112) | inline Eigen::IndexList<Eigen::type2index<1>, Index> OneByM(Index m) {
  function VerifyBlockEvaluator (line 124) | static void VerifyBlockEvaluator(Expression expr, GenBlockParams gen_blo...
  function test_eval_tensor_block (line 208) | static void test_eval_tensor_block() {
  function test_eval_tensor_unary_expr_block (line 219) | static void test_eval_tensor_unary_expr_block() {
  function test_eval_tensor_binary_expr_block (line 229) | static void test_eval_tensor_binary_expr_block() {
  function test_eval_tensor_binary_with_unary_expr_block (line 240) | static void test_eval_tensor_binary_with_unary_expr_block() {
  function test_eval_tensor_broadcast (line 252) | static void test_eval_tensor_broadcast() {
  function test_eval_tensor_reshape (line 282) | static void test_eval_tensor_reshape() {
  function test_eval_tensor_cast (line 301) | static void test_eval_tensor_cast() {
  function test_eval_tensor_select (line 312) | static void test_eval_tensor_select() {
  function test_eval_tensor_padding (line 327) | static void test_eval_tensor_padding() {
  function test_eval_tensor_chipping (line 367) | static void test_eval_tensor_chipping() {
  type SimpleTensorGenerator (line 404) | struct SimpleTensorGenerator {
    method T (line 405) | T operator()(const array<Index, NumDims>& coords) const {
  type SimpleTensorGenerator<bool, NumDims> (line 416) | struct SimpleTensorGenerator<bool, NumDims> {
  function test_eval_tensor_generator (line 428) | static void test_eval_tensor_generator() {
  function test_eval_tensor_reverse (line 444) | static void test_eval_tensor_reverse() {
  function test_eval_tensor_slice (line 462) | static void test_eval_tensor_slice() {
  function test_eval_tensor_shuffle (line 487) | static void test_eval_tensor_shuffle() {
  function test_eval_tensor_reshape_with_bcast (line 514) | static void test_eval_tensor_reshape_with_bcast() {
  function test_eval_tensor_forced_eval (line 537) | static void test_eval_tensor_forced_eval() {
  function test_eval_tensor_chipping_of_bcast (line 560) | static void test_eval_tensor_chipping_of_bcast() {
  function VerifyBlockAssignment (line 593) | static void VerifyBlockAssignment(Tensor<T, NumDims, Layout>& tensor,
  function test_assign_to_tensor (line 650) | static void test_assign_to_tensor() {
  function test_assign_to_tensor_reshape (line 663) | static void test_assign_to_tensor_reshape() {
  function test_assign_to_tensor_chipping (line 686) | static void test_assign_to_tensor_chipping() {
  function test_assign_to_tensor_slice (line 717) | static void test_assign_to_tensor_slice() {
  function test_assign_to_tensor_shuffle (line 747) | static void test_assign_to_tensor_shuffle() {
  function EIGEN_DECLARE_TEST (line 827) | EIGEN_DECLARE_TEST(cxx11_tensor_block_eval) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_block_io.cpp
  function RandomDims (line 17) | static DSizes<Index, NumDims> RandomDims(Index min, Index max) {
  function RandomBlockShape (line 25) | static internal::TensorBlockShapeType RandomBlockShape() {
  function RandomTargetBlockSize (line 32) | static size_t RandomTargetBlockSize(const DSizes<Index, NumDims>& dims) {
  function Index (line 37) | static Index GetInputIndex(Index output_index,
  function test_block_io_copy_data_from_source_to_target (line 62) | static void test_block_io_copy_data_from_source_to_target() {
  function test_block_io_copy_using_reordered_dimensions (line 121) | static void test_block_io_copy_using_reordered_dimensions() {
  function test_block_io_copy_using_reordered_dimensions_do_not_squeeze (line 221) | static void test_block_io_copy_using_reordered_dimensions_do_not_squeeze...
  function test_block_io_copy_using_reordered_dimensions_squeeze (line 268) | static void test_block_io_copy_using_reordered_dimensions_squeeze() {
  function test_block_io_zero_stride (line 315) | static void test_block_io_zero_stride() {
  function test_block_io_squeeze_ones (line 364) | static void test_block_io_squeeze_ones() {
  function EIGEN_DECLARE_TEST (line 428) | EIGEN_DECLARE_TEST(cxx11_tensor_block_io) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_broadcast_sycl.cpp
  function test_broadcast_sycl_fixed (line 29) | static void test_broadcast_sycl_fixed(const Eigen::SyclDevice &sycl_devi...
  function test_broadcast_sycl (line 80) | static void test_broadcast_sycl(const Eigen::SyclDevice &sycl_device){
  function sycl_broadcast_test_per_device (line 130) | void sycl_broadcast_test_per_device(const cl::sycl::device& d){
  function EIGEN_DECLARE_TEST (line 140) | EIGEN_DECLARE_TEST(cxx11_tensor_broadcast_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_broadcasting.cpp
  function test_simple_broadcasting (line 17) | static void test_simple_broadcasting()
  function test_vectorized_broadcasting (line 70) | static void test_vectorized_broadcasting()
  function test_static_broadcasting (line 122) | static void test_static_broadcasting()
  function test_fixed_size_broadcasting (line 179) | static void test_fixed_size_broadcasting()
  function test_simple_broadcasting_one_by_n (line 202) | static void test_simple_broadcasting_one_by_n()
  function test_simple_broadcasting_n_by_one (line 231) | static void test_simple_broadcasting_n_by_one()
  function test_size_one_broadcasting (line 260) | static void test_size_one_broadcasting()
  function test_simple_broadcasting_one_by_n_by_one_1d (line 276) | static void test_simple_broadcasting_one_by_n_by_one_1d()
  function test_simple_broadcasting_one_by_n_by_one_2d (line 301) | static void test_simple_broadcasting_one_by_n_by_one_2d()
  function EIGEN_DECLARE_TEST (line 329) | EIGEN_DECLARE_TEST(cxx11_tensor_broadcasting)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_builtins_sycl.cpp
  type cl (line 30) | namespace cl {
    type sycl (line 31) | namespace sycl {
      function T (line 32) | T abs(T x) { return cl::sycl::fabs(x); }
      function T (line 33) | T square(T x) { return x * x; }
      function T (line 34) | T cube(T x) { return x * x * x; }
      function T (line 35) | T inverse(T x) { return T(1) / x; }
      function T (line 36) | T cwiseMax(T x, T y) { return cl::sycl::max(x, y); }
      function T (line 37) | T cwiseMin(T x, T y) { return cl::sycl::min(x, y); }
  type EqualAssignment (line 41) | struct EqualAssignment {
  type PlusEqualAssignment (line 46) | struct PlusEqualAssignment {
  function test_unary_builtins_for_scalar (line 53) | void test_unary_builtins_for_scalar(const Eigen::SyclDevice& sycl_device,
  function test_unary_builtins_for_assignement (line 141) | void test_unary_builtins_for_assignement(const Eigen::SyclDevice& sycl_d...
  function test_unary_builtins_return_bool (line 164) | void test_unary_builtins_return_bool(const Eigen::SyclDevice& sycl_device,
  function test_unary_builtins (line 190) | void test_unary_builtins(const Eigen::SyclDevice& sycl_device,
  function test_builtin_unary_sycl (line 205) | static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device) {
  function test_binary_builtins_func (line 216) | void test_binary_builtins_func(const Eigen::SyclDevice& sycl_device,
  function test_binary_builtins_fixed_arg2 (line 251) | void test_binary_builtins_fixed_arg2(const Eigen::SyclDevice& sycl_device,

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_casts.cpp
  function test_simple_cast (line 18) | static void test_simple_cast()
  function test_vectorized_cast (line 39) | static void test_vectorized_cast()
  function test_float_to_int_cast (line 60) | static void test_float_to_int_cast()
  function test_big_to_small_type_cast (line 79) | static void test_big_to_small_type_cast()
  function test_small_to_big_type_cast (line 94) | static void test_small_to_big_type_cast()
  function test_type_cast (line 109) | static void test_type_cast() {
  type test_cast_runner (line 130) | struct test_cast_runner {
    method run (line 131) | static void run() {
  type test_cast_runner<Scalar, typename internal::enable_if<NumTraits<Scalar>::IsComplex>::type> (line 152) | struct test_cast_runner<Scalar, typename internal::enable_if<NumTraits<S...
    method run (line 153) | static void run() {
  function EIGEN_DECLARE_TEST (line 162) | EIGEN_DECLARE_TEST(cxx11_tensor_casts)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_chipping.cpp
  function test_simple_chip (line 17) | static void test_simple_chip()
  function test_dynamic_chip (line 102) | static void test_dynamic_chip()
  function test_chip_in_expr (line 185) | static void test_chip_in_expr() {
  function test_chip_as_lvalue (line 217) | static void test_chip_as_lvalue()
  function test_chip_raw_data_col_major (line 343) | static void test_chip_raw_data_col_major()
  function test_chip_raw_data_row_major (line 378) | static void test_chip_raw_data_row_major()
  function EIGEN_DECLARE_TEST (line 413) | EIGEN_DECLARE_TEST(cxx11_tensor_chipping)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_chipping_sycl.cpp
  function test_static_chip_sycl (line 29) | static void test_static_chip_sycl(const Eigen::SyclDevice& sycl_device)
  function test_dynamic_chip_sycl (line 178) | static void test_dynamic_chip_sycl(const Eigen::SyclDevice& sycl_device)
  function test_chip_in_expr (line 326) | static void test_chip_in_expr(const Eigen::SyclDevice& sycl_device) {
  function test_chip_as_lvalue_sycl (line 401) | static void test_chip_as_lvalue_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_chipping_test_per_device (line 606) | void sycl_chipping_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 618) | EIGEN_DECLARE_TEST(cxx11_tensor_chipping_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_comparisons.cpp
  function test_orderings (line 17) | static void test_orderings()
  function test_equality (line 47) | static void test_equality()
  function EIGEN_DECLARE_TEST (line 80) | EIGEN_DECLARE_TEST(cxx11_tensor_comparisons)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_concatenation.cpp
  function test_dimension_failures (line 17) | static void test_dimension_failures()
  function test_static_dimension_failure (line 37) | static void test_static_dimension_failure()
  function test_simple_concatenation (line 63) | static void test_simple_concatenation()
  function test_concatenation_as_lvalue (line 112) | static void test_concatenation_as_lvalue()
  function EIGEN_DECLARE_TEST (line 132) | EIGEN_DECLARE_TEST(cxx11_tensor_concatenation)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_concatenation_sycl.cpp
  function test_simple_concatenation (line 26) | static void test_simple_concatenation(const Eigen::SyclDevice& sycl_device)
  function test_concatenation_as_lvalue (line 116) | static void test_concatenation_as_lvalue(const Eigen::SyclDevice& sycl_d...
  function tensorConcat_perDevice (line 169) | void tensorConcat_perDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 176) | EIGEN_DECLARE_TEST(cxx11_tensor_concatenation_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_const.cpp
  function test_simple_assign (line 16) | static void test_simple_assign()
  function test_assign_of_const_tensor (line 35) | static void test_assign_of_const_tensor()
  function EIGEN_DECLARE_TEST (line 58) | EIGEN_DECLARE_TEST(cxx11_tensor_const)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_contract_sycl.cpp
  function test_sycl_contraction (line 36) | void static test_sycl_contraction(const Device &sycl_device, IndexType m...
  function test_sycl_contraction_m (line 105) | void test_sycl_contraction_m(const Device &sycl_device) {
  function test_sycl_contraction_k (line 114) | void test_sycl_contraction_k(const Device &sycl_device) {
  function test_sycl_contraction_n (line 123) | void test_sycl_contraction_n(const Device &sycl_device) {
  function test_sycl_contraction_sizes (line 132) | void test_sycl_contraction_sizes(const Device &sycl_device) {
  function test_no_out_of_bounds (line 154) | void static test_no_out_of_bounds(const Device &sycl_device, IndexType m...
  function test_scalar (line 257) | void test_scalar(const Device &sycl_device, IndexType m_size, IndexType ...
  function contraction_batch (line 320) | void contraction_batch(const Device &sycl_device, IndexType m_size,
  function contraction_rhs_transposed (line 394) | void contraction_rhs_transposed(const Device &sycl_device, IndexType m_s...
  function contraction_lhs_transposed (line 463) | void contraction_lhs_transposed(const Device &sycl_device, IndexType m_s...
  function contraction_both_transposed (line 529) | void contraction_both_transposed(const Device &sycl_device, IndexType m_...
  function tensorOutofBound (line 595) | void inline tensorOutofBound(const Dev &sycl_device) {
  function tensorTensor (line 630) | void inline tensorTensor(const Dev &sycl_device) {
  function tensorTensor_m (line 649) | void inline tensorTensor_m(const Dev &sycl_device) {
  function tensorTensor_n (line 667) | void inline tensorTensor_n(const Dev &sycl_device) {
  function tensorTensor_k (line 685) | void inline tensorTensor_k(const Dev &sycl_device) {
  function tensorTensor_sizes (line 702) | void inline tensorTensor_sizes(const Dev &sycl_device) {
  function vectorVector (line 719) | void inline vectorVector(const Dev &sycl_device) {
  function vectorTensor (line 747) | void inline vectorTensor(const Dev &sycl_device) {
  function tensorVector (line 789) | void inline tensorVector(const Dev &sycl_device) {
  function tensorScalar (line 837) | void inline tensorScalar(const Dev &sycl_device) {
  function skinnyTensor_row (line 858) | void inline skinnyTensor_row(const Dev &sycl_device) {
  function skinnyTensor_col (line 881) | void inline skinnyTensor_col(const Dev &sycl_device) {
  function tensor_contraction_batch_per_device (line 904) | void inline tensor_contraction_batch_per_device(const Dev &sycl_device) {
  function tensor_contraction_lhs_transposed_per_device (line 922) | void inline tensor_contraction_lhs_transposed_per_device(
  function tensor_contraction_rhs_transposed_per_device (line 951) | void inline tensor_contraction_rhs_transposed_per_device(
  function tensor_contraction_both_transposed_per_device (line 982) | void inline tensor_contraction_both_transposed_per_device(
  function EIGEN_DECLARE_TEST (line 1002) | EIGEN_DECLARE_TEST(cxx11_tensor_contract_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_contraction.cpp
  function test_evals (line 20) | static void test_evals()
  function test_scalar (line 82) | static void test_scalar()
  function test_multidims (line 101) | static void test_multidims()
  function test_holes (line 159) | static void test_holes() {
  function test_full_redux (line 193) | static void test_full_redux()
  function test_contraction_of_contraction (line 219) | static void test_contraction_of_contraction()
  function test_expr (line 252) | static void test_expr()
  function test_out_of_order_contraction (line 271) | static void test_out_of_order_contraction()
  function test_consistency (line 316) | static void test_consistency()
  function test_large_contraction (line 353) | static void test_large_contraction()
  function test_matrix_vector (line 385) | static void test_matrix_vector()
  function test_tensor_vector (line 413) | static void test_tensor_vector()
  function test_small_blocking_factors (line 437) | static void test_small_blocking_factors()
  function test_tensor_product (line 467) | static void test_tensor_product()
  function test_const_inputs (line 494) | static void test_const_inputs()
  type SqrtOutputKernel (line 515) | struct SqrtOutputKernel {
    method EIGEN_ALWAYS_INLINE (line 517) | EIGEN_ALWAYS_INLINE void operator()(
  function test_large_contraction_with_output_kernel (line 530) | static void test_large_contraction_with_output_kernel() {
  function EIGEN_DECLARE_TEST (line 563) | EIGEN_DECLARE_TEST(cxx11_tensor_contraction)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_convolution.cpp
  function test_evals (line 18) | static void test_evals()
  function test_expr (line 47) | static void test_expr()
  function test_modes (line 71) | static void test_modes() {
  function test_strides (line 117) | static void test_strides() {
  function EIGEN_DECLARE_TEST (line 140) | EIGEN_DECLARE_TEST(cxx11_tensor_convolution)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_convolution_sycl.cpp
  function test_larg_expr1D (line 36) | static void test_larg_expr1D(const Eigen::SyclDevice& sycl_device)
  function test_larg_expr2D (line 97) | static void test_larg_expr2D(const Eigen::SyclDevice& sycl_device)
  function test_larg_expr3D (line 158) | static void test_larg_expr3D(const Eigen::SyclDevice& sycl_device)
  function test_evals (line 219) | static void test_evals(const Eigen::SyclDevice& sycl_device)
  function test_expr (line 265) | static void test_expr(const Eigen::SyclDevice& sycl_device)
  function test_modes (line 314) | static void test_modes(const Eigen::SyclDevice& sycl_device){
  function test_strides (line 403) | static void test_strides(const Eigen::SyclDevice& sycl_device){
  function tensorConvolutionPerDevice (line 446) | void tensorConvolutionPerDevice(Dev_selector& s){
  function EIGEN_DECLARE_TEST (line 465) | EIGEN_DECLARE_TEST(cxx11_tensor_convolution_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_custom_index.cpp
  function test_map_as_index (line 21) | static void test_map_as_index()
  function test_matrix_as_index (line 43) | static void test_matrix_as_index()
  function test_varlist_as_index (line 61) | static void test_varlist_as_index()
  function test_sizes_as_index (line 76) | static void test_sizes_as_index()
  function EIGEN_DECLARE_TEST (line 91) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_index) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_custom_op.cpp
  type InsertZeros (line 17) | struct InsertZeros {
    method dimensions (line 18) | DSizes<DenseIndex, 2> dimensions(const Tensor<float, 2>& input) const {
    method eval (line 26) | void eval(const Tensor<float, 2>& input, Output& output, const Device&...
  function test_custom_unary_op (line 39) | static void test_custom_unary_op()
  type BatchMatMul (line 61) | struct BatchMatMul {
    method dimensions (line 62) | DSizes<DenseIndex, 3> dimensions(const Tensor<float, 3>& input1, const...
    method eval (line 71) | void eval(const Tensor<float, 3>& input1, const Tensor<float, 3>& input2,
  function test_custom_binary_op (line 84) | static void test_custom_binary_op()
  function EIGEN_DECLARE_TEST (line 107) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_op)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_custom_op_sycl.cpp
  type InsertZeros (line 25) | struct InsertZeros {
    method dimensions (line 26) | DSizes<DenseIndex, 2> dimensions(const TensorType& input) const {
    method eval (line 34) | void eval(const TensorType& input, Output& output, const Device& devic...
  function test_custom_unary_op_sycl (line 48) | static void test_custom_unary_op_sycl(const Eigen::SyclDevice &sycl_device)
  type BatchMatMul (line 88) | struct BatchMatMul {
    method dimensions (line 89) | DSizes<DenseIndex, 3> dimensions(const TensorType& input1, const Tenso...
    method eval (line 98) | void eval(const TensorType& input1, const TensorType& input2,
  function test_custom_binary_op_sycl (line 111) | static void test_custom_binary_op_sycl(const Eigen::SyclDevice &sycl_dev...
  function custom_op_perDevice (line 157) | void custom_op_perDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 166) | EIGEN_DECLARE_TEST(cxx11_tensor_custom_op_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_device_sycl.cpp
  function test_device_memory (line 27) | void test_device_memory(const Eigen::SyclDevice &sycl_device) {
  function test_device_exceptions (line 55) | void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
  function test_device_attach_buffer (line 72) | void test_device_attach_buffer(const Eigen::SyclDevice &sycl_device) {
  function sycl_device_test_per_device (line 96) | void sycl_device_test_per_device(const cl::sycl::device& d){
  function EIGEN_DECLARE_TEST (line 109) | EIGEN_DECLARE_TEST(cxx11_tensor_device_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_dimension.cpp
  function test_dynamic_size (line 17) | static void test_dynamic_size()
  function test_fixed_size (line 30) | static void test_fixed_size()
  function test_match (line 40) | static void test_match()
  function test_rank_zero (line 51) | static void test_rank_zero()
  function test_index_type_promotion (line 63) | static void test_index_type_promotion() {
  function EIGEN_DECLARE_TEST (line 81) | EIGEN_DECLARE_TEST(cxx11_tensor_dimension)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_empty.cpp
  function test_empty_tensor (line 15) | static void test_empty_tensor()
  function test_empty_fixed_size_tensor (line 25) | static void test_empty_fixed_size_tensor()
  function EIGEN_DECLARE_TEST (line 36) | EIGEN_DECLARE_TEST(cxx11_tensor_empty)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_executor.cpp
  function DefaultAssign (line 27) | static void DefaultAssign(Dst& dst, Expr expr) {
  function DeviceAssign (line 40) | static void DeviceAssign(Device& d, Dst& dst, Expr expr) {
  function RandomDims (line 49) | static array<Index, NumDims> RandomDims(int min_dim = 1, int max_dim = 2...
  function test_execute_unary_expr (line 59) | static void test_execute_unary_expr(Device d)
  function test_execute_binary_expr (line 87) | static void test_execute_binary_expr(Device d)
  function test_execute_broadcasting (line 118) | static void test_execute_broadcasting(Device d)
  function test_execute_chipping_rvalue (line 150) | static void test_execute_chipping_rvalue(Device d)
  function test_execute_chipping_lvalue (line 189) | static void test_execute_chipping_lvalue(Device d)
  function test_execute_shuffle_rvalue (line 241) | static void test_execute_shuffle_rvalue(Device d)
  function test_execute_shuffle_lvalue (line 279) | static void test_execute_shuffle_lvalue(Device d)
  function test_execute_reshape (line 315) | static void test_execute_reshape(Device d)
  function test_execute_slice_rvalue (line 355) | static void test_execute_slice_rvalue(Device d)
  function test_execute_slice_lvalue (line 395) | static void test_execute_slice_lvalue(Device d)
  function test_execute_broadcasting_of_forced_eval (line 438) | static void test_execute_broadcasting_of_forced_eval(Device d)
  type DummyGenerator (line 469) | struct DummyGenerator {
    method T (line 471) | T operator()(const array <Index, NumDims>& dims) const {
  function test_execute_generator_op (line 482) | static void test_execute_generator_op(Device d)
  function test_execute_reverse_rvalue (line 513) | static void test_execute_reverse_rvalue(Device d)
  function test_async_execute_unary_expr (line 548) | static void test_async_execute_unary_expr(Device d)
  function test_async_execute_binary_expr (line 581) | static void test_async_execute_binary_expr(Device d)
  function EIGEN_DECLARE_TEST (line 653) | EIGEN_DECLARE_TEST(cxx11_tensor_executor) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_expr.cpp
  function test_1d (line 19) | static void test_1d()
  function test_2d (line 71) | static void test_2d()
  function test_3d (line 112) | static void test_3d()
  function test_constants (line 166) | static void test_constants()
  function test_boolean (line 196) | static void test_boolean()
  function test_functors (line 224) | static void test_functors()
  function test_type_casting (line 254) | static void test_type_casting()
  function test_select (line 281) | static void test_select()
  function test_minmax_nan_propagation_templ (line 303) | void test_minmax_nan_propagation_templ() {
  function test_clip (line 421) | static void test_clip()
  function test_minmax_nan_propagation (line 441) | static void test_minmax_nan_propagation()
  function EIGEN_DECLARE_TEST (line 447) | EIGEN_DECLARE_TEST(cxx11_tensor_expr)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_fft.cpp
  function test_fft_2D_golden (line 16) | static void test_fft_2D_golden() {
  function test_fft_complex_input_golden (line 59) | static void test_fft_complex_input_golden() {
  function test_fft_real_input_golden (line 116) | static void test_fft_real_input_golden() {
  function test_fft_real_input_energy (line 179) | static void test_fft_real_input_energy() {
  function test_fft_non_power_of_2_round_trip (line 228) | static void test_fft_non_power_of_2_round_trip(int exponent) {
  function EIGEN_DECLARE_TEST (line 255) | EIGEN_DECLARE_TEST(cxx11_tensor_fft) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_fixed_size.cpp
  function test_0d (line 18) | static void test_0d()
  function test_1d (line 47) | static void test_1d()
  function test_tensor_map (line 106) | static void test_tensor_map()
  function test_2d (line 130) | static void test_2d()
  function test_3d (line 180) | static void test_3d()
  function test_array (line 226) | static void test_array()
  function EIGEN_DECLARE_TEST (line 253) | EIGEN_DECLARE_TEST(cxx11_tensor_fixed_size)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_forced_eval.cpp
  function test_simple (line 18) | static void test_simple()
  function test_const (line 49) | static void test_const()
  function EIGEN_DECLARE_TEST (line 75) | EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_forced_eval_sycl.cpp
  function test_forced_eval_sycl (line 25) | void test_forced_eval_sycl(const Eigen::SyclDevice &sycl_device) {
  function tensorForced_evalperDevice (line 66) | void tensorForced_evalperDevice(Dev_selector s){
  function EIGEN_DECLARE_TEST (line 72) | EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_generator.cpp
  type Generator1D (line 14) | struct Generator1D {
    method Generator1D (line 15) | Generator1D() { }
  function test_1D (line 23) | static void test_1D()
  type Generator2D (line 34) | struct Generator2D {
    method Generator2D (line 35) | Generator2D() { }
  function test_2D (line 43) | static void test_2D()
  function test_gaussian (line 57) | static void test_gaussian()
  function EIGEN_DECLARE_TEST (line 83) | EIGEN_DECLARE_TEST(cxx11_tensor_generator)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_generator_sycl.cpp
  type Generator1D (line 25) | struct Generator1D {
    method Generator1D (line 26) | Generator1D() { }
  function test_1D_sycl (line 34) | static void test_1D_sycl(const Eigen::SyclDevice& sycl_device)
  type Generator2D (line 59) | struct Generator2D {
    method Generator2D (line 60) | Generator2D() { }
  function test_2D_sycl (line 68) | static void test_2D_sycl(const Eigen::SyclDevice& sycl_device)
  function test_gaussian_sycl (line 95) | static void test_gaussian_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_generator_test_per_device (line 132) | void sycl_generator_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 142) | EIGEN_DECLARE_TEST(cxx11_tensor_generator_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_ifft.cpp
  function test_1D_fft_ifft_invariant (line 18) | static void test_1D_fft_ifft_invariant(int sequence_length) {
  function test_2D_fft_ifft_invariant (line 40) | static void test_2D_fft_ifft_invariant(int dim0, int dim1) {
  function test_3D_fft_ifft_invariant (line 68) | static void test_3D_fft_ifft_invariant(int dim0, int dim1, int dim2) {
  function test_sub_fft_ifft_invariant (line 100) | static void test_sub_fft_ifft_invariant(int dim0, int dim1, int dim2, in...
  function EIGEN_DECLARE_TEST (line 134) | EIGEN_DECLARE_TEST(cxx11_tensor_ifft) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_image_op_sycl.cpp
  function test_image_op_sycl (line 31) | static void test_image_op_sycl(const Eigen::SyclDevice &sycl_device)
  function sycl_computing_test_per_device (line 90) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 96) | EIGEN_DECLARE_TEST(cxx11_tensor_image_op_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_image_patch.cpp
  function test_simple_patch (line 16) | void test_simple_patch()
  function test_patch_padding_valid (line 183) | void test_patch_padding_valid()
  function test_patch_padding_valid_same_value (line 259) | void test_patch_padding_valid_same_value()
  function test_patch_padding_same (line 332) | void test_patch_padding_same()
  function test_patch_padding_same_negative_padding_clip_to_zero (line 410) | void test_patch_padding_same_negative_padding_clip_to_zero() {
  function test_patch_no_extra_dim (line 459) | void test_patch_no_extra_dim()
  function test_imagenet_patches (line 607) | void test_imagenet_patches()
  function EIGEN_DECLARE_TEST (line 800) | EIGEN_DECLARE_TEST(cxx11_tensor_image_patch)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_image_patch_sycl.cpp
  function test_simple_image_patch_sycl (line 27) | static void test_simple_image_patch_sycl(const Eigen::SyclDevice& sycl_d...
  function test_patch_padding_valid_sycl (line 259) | static void test_patch_padding_valid_sycl(const Eigen::SyclDevice& sycl_...
  function test_patch_padding_valid_same_value_sycl (line 365) | static void test_patch_padding_valid_same_value_sycl(const Eigen::SyclDe...
  function test_patch_padding_same_sycl (line 462) | static void test_patch_padding_same_sycl(const Eigen::SyclDevice& sycl_d...
  function test_patch_no_extra_dim_sycl (line 567) | static void test_patch_no_extra_dim_sycl(const Eigen::SyclDevice& sycl_d...
  function test_imagenet_patches_sycl (line 777) | static void test_imagenet_patches_sycl(const Eigen::SyclDevice& sycl_dev...
  function sycl_tensor_image_patch_test_per_device (line 1077) | void sycl_tensor_image_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 1087) | EIGEN_DECLARE_TEST(cxx11_tensor_image_patch_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_index_list.cpp
  function test_static_index_list (line 16) | static void test_static_index_list()
  function test_type2index_list (line 48) | static void test_type2index_list()
  function test_type2indexpair_list (line 162) | static void test_type2indexpair_list()
  function test_dynamic_index_list (line 266) | static void test_dynamic_index_list()
  function test_mixed_index_list (line 298) | static void test_mixed_index_list()
  function test_dim_check (line 363) | static void test_dim_check()
  function EIGEN_DECLARE_TEST (line 375) | EIGEN_DECLARE_TEST(cxx11_tensor_index_list)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_inflation.cpp
  function test_simple_inflation (line 17) | static void test_simple_inflation()
  function EIGEN_DECLARE_TEST (line 77) | EIGEN_DECLARE_TEST(cxx11_tensor_inflation)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_inflation_sycl.cpp
  function test_simple_inflation_sycl (line 33) | void test_simple_inflation_sycl(const Eigen::SyclDevice &sycl_device) {
  function sycl_inflation_test_per_device (line 125) | void sycl_inflation_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 131) | EIGEN_DECLARE_TEST(cxx11_tensor_inflation_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_intdiv.cpp
  function test_signed_32bit (line 15) | void test_signed_32bit()
  function test_unsigned_32bit (line 50) | void test_unsigned_32bit()
  function test_signed_64bit (line 64) | void test_signed_64bit()
  function test_unsigned_64bit (line 78) | void test_unsigned_64bit()
  function test_powers_32bit (line 91) | void test_powers_32bit() {
  function test_powers_64bit (line 110) | void test_powers_64bit() {
  function test_specific (line 128) | void test_specific() {
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(cxx11_tensor_intdiv)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_io.cpp
  function test_output_0d (line 17) | static void test_output_0d()
  function test_output_1d (line 31) | static void test_output_1d()
  function test_output_2d (line 53) | static void test_output_2d()
  function test_output_expr (line 71) | static void test_output_expr()
  function test_output_string (line 89) | static void test_output_string()
  function test_output_const (line 105) | static void test_output_const()
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(cxx11_tensor_io)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_layout_swap.cpp
  function test_simple_swap (line 16) | static void test_simple_swap()
  function test_swap_as_lvalue (line 36) | static void test_swap_as_lvalue()
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(cxx11_tensor_layout_swap)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_layout_swap_sycl.cpp
  function test_simple_swap_sycl (line 28) | static void test_simple_swap_sycl(const Eigen::SyclDevice& sycl_device)
  function test_swap_as_lvalue_sycl (line 71) | static void test_swap_as_lvalue_sycl(const Eigen::SyclDevice& sycl_device)
  function sycl_tensor_layout_swap_test_per_device (line 115) | void sycl_tensor_layout_swap_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 121) | EIGEN_DECLARE_TEST(cxx11_tensor_layout_swap_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_lvalue.cpp
  function test_compound_assignment (line 18) | static void test_compound_assignment()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(cxx11_tensor_lvalue)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_map.cpp
  function test_0d (line 17) | static void test_0d()
  function test_1d (line 35) | static void test_1d()
  function test_2d (line 69) | static void test_2d()
  function test_3d (line 116) | static void test_3d()
  function test_from_tensor (line 160) | static void test_from_tensor()
  function f (line 238) | static int f(const TensorMap<Tensor<int, 3> >& tensor) {
  function test_casting (line 246) | static void test_casting()
  function T (line 269) | static const T& add_const(T& value) {
  function test_0d_const_tensor (line 273) | static void test_0d_const_tensor()
  function test_0d_const_tensor_map (line 291) | static void test_0d_const_tensor_map()
  function EIGEN_DECLARE_TEST (line 315) | EIGEN_DECLARE_TEST(cxx11_tensor_map)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_math.cpp
  function test_tanh (line 17) | static void test_tanh()
  function test_sigmoid (line 29) | static void test_sigmoid()
  function EIGEN_DECLARE_TEST (line 42) | EIGEN_DECLARE_TEST(cxx11_tensor_math)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_math_sycl.cpp
  function test_tanh_sycl (line 31) | static void test_tanh_sycl(const Eigen::SyclDevice &sycl_device)
  function test_sigmoid_sycl (line 61) | static void test_sigmoid_sycl(const Eigen::SyclDevice &sycl_device)
  function sycl_computing_test_per_device (line 92) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(cxx11_tensor_math_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_mixed_indices.cpp
  function test_simple (line 15) | static void test_simple()
  function EIGEN_DECLARE_TEST (line 50) | EIGEN_DECLARE_TEST(cxx11_tensor_mixed_indices)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_morphing.cpp
  function test_simple_reshape (line 17) | static void test_simple_reshape()
  function test_static_reshape (line 45) | static void test_static_reshape() {
  function test_reshape_in_expr (line 67) | static void test_reshape_in_expr() {
  function test_reshape_as_lvalue (line 92) | static void test_reshape_as_lvalue()
  function test_simple_slice (line 116) | static void test_simple_slice()
  function test_const_slice (line 141) | static void test_const_slice()
  function test_slice_in_expr (line 152) | static void test_slice_in_expr() {
  function test_slice_as_lvalue (line 189) | static void test_slice_as_lvalue()
  function test_slice_raw_data (line 249) | static void test_slice_raw_data()
  function test_strided_slice (line 344) | static void test_strided_slice()
  function test_strided_slice_write (line 438) | static void test_strided_slice_write()
  function test_composition (line 464) | static void test_composition()
  function test_empty_slice (line 483) | static void test_empty_slice()
  function EIGEN_DECLARE_TEST (line 551) | EIGEN_DECLARE_TEST(cxx11_tensor_morphing)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_morphing_sycl.cpp
  function test_simple_reshape (line 32) | static void test_simple_reshape(const Eigen::SyclDevice& sycl_device)
  function test_reshape_as_lvalue (line 90) | static void test_reshape_as_lvalue(const Eigen::SyclDevice& sycl_device)
  function test_simple_slice (line 138) | static void test_simple_slice(const Eigen::SyclDevice &sycl_device)
  function test_strided_slice_as_rhs_sycl (line 185) | static void test_strided_slice_as_rhs_sycl(const Eigen::SyclDevice &sycl...
  function test_strided_slice_write_sycl (line 260) | static void test_strided_slice_write_sycl(const Eigen::SyclDevice& sycl_...
  function To32BitDims (line 308) | Eigen::array<OutIndex, DSizes::count> To32BitDims(const DSizes& in) {
  function run_eigen (line 317) | int run_eigen(const SyclDevice& sycl_device) {
  function sycl_morphing_test_per_device (line 366) | void sycl_morphing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 381) | EIGEN_DECLARE_TEST(cxx11_tensor_morphing_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_move.cpp
  function calc_indices (line 18) | static void calc_indices(int i, int& x, int& y, int& z)
  function test_move (line 25) | static void test_move()
  function EIGEN_DECLARE_TEST (line 73) | EIGEN_DECLARE_TEST(cxx11_tensor_move)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_notification.cpp
  function test_notification_single (line 18) | static void test_notification_single()
  function test_notification_multiple (line 42) | static void test_notification_multiple()
  function EIGEN_DECLARE_TEST (line 60) | EIGEN_DECLARE_TEST(cxx11_tensor_notification)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_of_complex.cpp
  function test_additions (line 19) | static void test_additions()
  function test_abs (line 35) | static void test_abs()
  function test_conjugate (line 51) | static void test_conjugate()
  function test_contractions (line 70) | static void test_contractions()
  function EIGEN_DECLARE_TEST (line 97) | EIGEN_DECLARE_TEST(cxx11_tensor_of_complex)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_of_const_values.cpp
  function test_assign (line 17) | static void test_assign()
  function test_plus (line 53) | static void test_plus()
  function test_plus_equal (line 79) | static void test_plus_equal()
  function EIGEN_DECLARE_TEST (line 100) | EIGEN_DECLARE_TEST(cxx11_tensor_of_const_values)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_of_strings.cpp
  function test_assign (line 17) | static void test_assign()
  function test_concat (line 57) | static void test_concat()
  function test_slices (line 86) | static void test_slices()
  function test_additions (line 113) | static void test_additions()
  function test_initialization (line 134) | static void test_initialization()
  function EIGEN_DECLARE_TEST (line 144) | EIGEN_DECLARE_TEST(cxx11_tensor_of_strings)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_padding.cpp
  function test_simple_padding (line 17) | static void test_simple_padding()
  function test_padded_expr (line 52) | static void test_padded_expr()
  function EIGEN_DECLARE_TEST (line 87) | EIGEN_DECLARE_TEST(cxx11_tensor_padding)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_padding_sycl.cpp
  function test_simple_padding (line 33) | static void test_simple_padding(const Eigen::SyclDevice& sycl_device)
  function test_padded_expr (line 90) | static void test_padded_expr(const Eigen::SyclDevice& sycl_device)
  function sycl_padding_test_per_device (line 143) | void sycl_padding_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 152) | EIGEN_DECLARE_TEST(cxx11_tensor_padding_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_patch.cpp
  function test_simple_patch (line 17) | static void test_simple_patch()
  function EIGEN_DECLARE_TEST (line 167) | EIGEN_DECLARE_TEST(cxx11_tensor_patch)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_patch_sycl.cpp
  function test_simple_patch_sycl (line 28) | static void test_simple_patch_sycl(const Eigen::SyclDevice& sycl_device){
  function sycl_tensor_patch_test_per_device (line 238) | void sycl_tensor_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 244) | EIGEN_DECLARE_TEST(cxx11_tensor_patch_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_random.cpp
  function test_default (line 15) | static void test_default()
  function test_normal (line 28) | static void test_normal()
  type MyGenerator (line 41) | struct MyGenerator {
    method MyGenerator (line 42) | MyGenerator() { }
    method MyGenerator (line 43) | MyGenerator(const MyGenerator&) { }
    method packetOp (line 53) | internal::packet_traits<int>::type packetOp(
  function test_custom (line 65) | static void test_custom()
  function EIGEN_DECLARE_TEST (line 75) | EIGEN_DECLARE_TEST(cxx11_tensor_random)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_random_sycl.cpp
  function test_sycl_random_uniform (line 23) | static void test_sycl_random_uniform(const Eigen::SyclDevice& sycl_device)
  function test_sycl_random_normal (line 53) | void test_sycl_random_normal(const Eigen::SyclDevice& sycl_device)
  function sycl_random_test_per_device (line 83) | void sycl_random_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 92) | EIGEN_DECLARE_TEST(cxx11_tensor_random_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_reduction.cpp
  function test_trivial_reductions (line 18) | static void test_trivial_reductions() {
  function test_simple_reductions (line 57) | static void test_simple_reductions() {
  function test_reductions_in_expr (line 246) | static void test_reductions_in_expr() {
  function test_full_reductions (line 272) | static void test_full_reductions() {
  type UserReducer (line 302) | struct UserReducer {
    method UserReducer (line 304) | UserReducer(float offset) : offset_(offset) {}
    method reduce (line 305) | void reduce(const float val, float* accum) { *accum += val * val; }
    method initialize (line 306) | float initialize() const { return 0; }
    method finalize (line 307) | float finalize(const float accum) const { return 1.0f / (accum + offse...
  function test_user_defined_reductions (line 314) | static void test_user_defined_reductions() {
  function test_tensor_maps (line 334) | static void test_tensor_maps() {
  function test_static_dims (line 368) | static void test_static_dims() {
  function test_innermost_last_dims (line 397) | static void test_innermost_last_dims() {
  function test_innermost_first_dims (line 428) | static void test_innermost_first_dims() {
  function test_reduce_middle_dims (line 459) | static void test_reduce_middle_dims() {
  function test_sum_accuracy (line 490) | void test_sum_accuracy() {
  function EIGEN_DECLARE_TEST (line 515) | EIGEN_DECLARE_TEST(cxx11_tensor_reduction) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_reduction_sycl.cpp
  function test_full_reductions_sum_sycl (line 26) | static void test_full_reductions_sum_sycl(
  function test_full_reductions_sum_with_offset_sycl (line 66) | static void test_full_reductions_sum_with_offset_sycl(
  function test_full_reductions_max_sycl (line 108) | static void test_full_reductions_max_sycl(
  function test_full_reductions_max_with_offset_sycl (line 140) | static void test_full_reductions_max_with_offset_sycl(
  function test_full_reductions_mean_sycl (line 186) | static void test_full_reductions_mean_sycl(
  function test_full_reductions_mean_with_offset_sycl (line 273) | static void test_full_reductions_mean_with_offset_sycl(
  function test_full_reductions_mean_with_odd_offset_sycl (line 316) | static void test_full_reductions_mean_with_odd_offset_sycl(
  function test_full_reductions_min_sycl (line 362) | static void test_full_reductions_min_sycl(
  function test_full_reductions_min_with_offset_sycl (line 396) | static void test_full_reductions_min_with_offset_sycl(
  function test_first_dim_reductions_max_sycl (line 441) | static void test_first_dim_reductions_max_sycl(
  function test_first_dim_reductions_max_with_offset_sycl (line 487) | static void test_first_dim_reductions_max_with_offset_sycl(
  function test_last_dim_reductions_max_with_offset_sycl (line 544) | static void test_last_dim_reductions_max_with_offset_sycl(
  function test_first_dim_reductions_sum_sycl (line 609) | static void test_first_dim_reductions_sum_sycl(
  function test_first_dim_reductions_mean_sycl (line 649) | static void test_first_dim_reductions_mean_sycl(
  function test_last_dim_reductions_mean_sycl (line 695) | static void test_last_dim_reductions_mean_sycl(
  function test_last_dim_reductions_sum_sycl (line 740) | static void test_last_dim_reductions_sum_sycl(
  function test_last_reductions_sum_sycl (line 785) | static void test_last_reductions_sum_sycl(
  function test_last_reductions_mean_sycl (line 826) | static void test_last_reductions_mean_sycl(
  type CustomReducer (line 869) | struct CustomReducer {
    method reduce (line 876) | void reduce(const InT x,
    method reduce (line 884) | void reduce(const OutT x,
    method OutT (line 889) | OutT initialize() const {
    method OutT (line 893) | OutT finalize(const OutT accum) const {
  function test_full_reductions_custom_sycl (line 900) | static void test_full_reductions_custom_sycl(
  function sycl_reduction_test_full_per_device (line 935) | void sycl_reduction_test_full_per_device(const Dev& sycl_device) {
  function sycl_reduction_full_offset_per_device (line 953) | void sycl_reduction_full_offset_per_device(const Dev& sycl_device) {
  function sycl_reduction_test_first_dim_per_device (line 976) | void sycl_reduction_test_first_dim_per_device(const Dev& sycl_device) {
  function sycl_reduction_test_last_dim_per_device (line 990) | void sycl_reduction_test_last_dim_per_device(const Dev& sycl_device) {
  function EIGEN_DECLARE_TEST (line 1001) | EIGEN_DECLARE_TEST(cxx11_tensor_reduction_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_ref.cpp
  function test_simple_lvalue_ref (line 17) | static void test_simple_lvalue_ref()
  function test_simple_rvalue_ref (line 48) | static void test_simple_rvalue_ref()
  function test_multiple_dims (line 70) | static void test_multiple_dims()
  function test_slice (line 91) | static void test_slice()
  function test_ref_of_ref (line 119) | static void test_ref_of_ref()
  function test_ref_in_expr (line 150) | static void test_ref_in_expr()
  function test_coeff_ref (line 184) | static void test_coeff_ref()
  function test_nested_ops_with_ref (line 199) | static void test_nested_ops_with_ref()
  function EIGEN_DECLARE_TEST (line 238) | EIGEN_DECLARE_TEST(cxx11_tensor_ref)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_reverse.cpp
  function test_simple_reverse (line 19) | static void test_simple_reverse()
  function test_expr_reverse (line 97) | static void test_expr_reverse(bool LValue)
  function EIGEN_DECLARE_TEST (line 182) | EIGEN_DECLARE_TEST(cxx11_tensor_reverse)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_reverse_sycl.cpp
  function test_simple_reverse (line 24) | static void test_simple_reverse(const Eigen::SyclDevice& sycl_device) {
  function test_expr_reverse (line 114) | static void test_expr_reverse(const Eigen::SyclDevice& sycl_device,
  function sycl_reverse_test_per_device (line 231) | void sycl_reverse_test_per_device(const cl::sycl::device& d) {
  function EIGEN_DECLARE_TEST (line 241) | EIGEN_DECLARE_TEST(cxx11_tensor_reverse_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_roundings.cpp
  function test_float_rounding (line 15) | static void test_float_rounding()
  function test_float_flooring (line 29) | static void test_float_flooring()
  function test_float_ceiling (line 43) | static void test_float_ceiling()
  function EIGEN_DECLARE_TEST (line 57) | EIGEN_DECLARE_TEST(cxx11_tensor_roundings)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_scan.cpp
  function test_1d_scan (line 18) | static void test_1d_scan()
  function test_4d_scan (line 52) | static void test_4d_scan()
  function test_tensor_maps (line 87) | static void test_tensor_maps() {
  function EIGEN_DECLARE_TEST (line 101) | EIGEN_DECLARE_TEST(cxx11_tensor_scan) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_scan_sycl.cpp
  function test_sycl_cumsum (line 26) | void test_sycl_cumsum(const Eigen::SyclDevice& sycl_device, IndexType m_...
  function sycl_scan_test_exclusive_dim0_per_device (line 80) | void sycl_scan_test_exclusive_dim0_per_device(const Dev& sycl_device) {
  function sycl_scan_test_exclusive_dim1_per_device (line 87) | void sycl_scan_test_exclusive_dim1_per_device(const Dev& sycl_device) {
  function sycl_scan_test_exclusive_dim2_per_device (line 94) | void sycl_scan_test_exclusive_dim2_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim0_per_device (line 101) | void sycl_scan_test_inclusive_dim0_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim1_per_device (line 108) | void sycl_scan_test_inclusive_dim1_per_device(const Dev& sycl_device) {
  function sycl_scan_test_inclusive_dim2_per_device (line 115) | void sycl_scan_test_inclusive_dim2_per_device(const Dev& sycl_device) {
  function EIGEN_DECLARE_TEST (line 121) | EIGEN_DECLARE_TEST(cxx11_tensor_scan_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_shuffling.cpp
  function test_simple_shuffling (line 18) | static void test_simple_shuffling()
  function test_expr_shuffling (line 71) | static void test_expr_shuffling()
  function test_shuffling_as_value (line 134) | static void test_shuffling_as_value()
  function test_shuffle_unshuffle (line 181) | static void test_shuffle_unshuffle()
  function test_empty_shuffling (line 219) | static void test_empty_shuffling()
  function EIGEN_DECLARE_TEST (line 271) | EIGEN_DECLARE_TEST(cxx11_tensor_shuffling)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp
  function test_simple_shuffling_sycl (line 30) | static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_dev...
  function sycl_shuffling_test_per_device (line 107) | void sycl_shuffling_test_per_device(dev_Selector s) {
  function EIGEN_DECLARE_TEST (line 113) | EIGEN_DECLARE_TEST(cxx11_tensor_shuffling_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_simple.cpp
  function test_0d (line 17) | static void test_0d()
  function test_1d (line 46) | static void test_1d()
  function test_2d (line 113) | static void test_2d()
  function test_3d (line 157) | static void test_3d()
  function test_simple_assign (line 275) | static void test_simple_assign()
  function test_resize (line 295) | static void test_resize()
  function EIGEN_DECLARE_TEST (line 319) | EIGEN_DECLARE_TEST(cxx11_tensor_simple)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_striding.cpp
  function test_simple_striding (line 17) | static void test_simple_striding()
  function test_striding_as_lvalue (line 70) | static void test_striding_as_lvalue()
  function EIGEN_DECLARE_TEST (line 113) | EIGEN_DECLARE_TEST(cxx11_tensor_striding)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_striding_sycl.cpp
  function test_simple_striding (line 34) | static void test_simple_striding(const Eigen::SyclDevice& sycl_device)
  function test_striding_as_lvalue (line 116) | static void test_striding_as_lvalue(const Eigen::SyclDevice& sycl_device)
  function tensorStridingPerDevice (line 190) | void tensorStridingPerDevice(Dev_selector& s){
  function EIGEN_DECLARE_TEST (line 199) | EIGEN_DECLARE_TEST(cxx11_tensor_striding_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_sugar.cpp
  function test_comparison_sugar (line 8) | static void test_comparison_sugar() {
  function test_scalar_sugar_add_mul (line 36) | static void test_scalar_sugar_add_mul() {
  function test_scalar_sugar_sub_div (line 56) | static void test_scalar_sugar_sub_div() {
  function EIGEN_DECLARE_TEST (line 76) | EIGEN_DECLARE_TEST(cxx11_tensor_sugar)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_sycl.cpp
  function test_sycl_mem_transfers (line 31) | void test_sycl_mem_transfers(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_mem_sync (line 70) | void test_sycl_mem_sync(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_mem_sync_offsets (line 98) | void test_sycl_mem_sync_offsets(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_memset_offsets (line 152) | void test_sycl_memset_offsets(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_computations (line 180) | void test_sycl_computations(const Eigen::SyclDevice &sycl_device) {
  function test_sycl_cast (line 316) | static void test_sycl_cast(const Eigen::SyclDevice& sycl_device){
  function sycl_computing_test_per_device (line 342) | void sycl_computing_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 357) | EIGEN_DECLARE_TEST(cxx11_tensor_sycl) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_symmetry.cpp
  function isDynGroup (line 36) | bool isDynGroup(StaticSGroup<Sym...> const& dummy)
  function isDynGroup (line 42) | bool isDynGroup(DynamicSGroup const& dummy)
  type checkIdx (line 49) | struct checkIdx {
    method doCheck_ (line 51) | static inline int doCheck_(ArrType e, int flags, int dummy, std::set<u...
    method run (line 72) | static inline int run(std::vector<int> e, int flags, int dummy, std::s...
    method run (line 78) | static inline int run(std::array<int, N> e, int flags, int dummy, std:...
  function test_symgroups_static (line 84) | static void test_symgroups_static()
  function test_symgroups_dynamic (line 109) | static void test_symgroups_dynamic()
  function test_symgroups_selection (line 138) | static void test_symgroups_selection()
  function test_tensor_epsilon (line 658) | static void test_tensor_epsilon()
  function test_tensor_sym (line 675) | static void test_tensor_sym()
  function test_tensor_asym (line 704) | static void test_tensor_asym()
  function test_tensor_dynsym (line 741) | static void test_tensor_dynsym()
  function test_tensor_randacc (line 771) | static void test_tensor_randacc()
  function EIGEN_DECLARE_TEST (line 804) | EIGEN_DECLARE_TEST(cxx11_tensor_symmetry)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_thread_local.cpp
  type Counter (line 16) | struct Counter {
    method Counter (line 17) | Counter() = default;
    method inc (line 19) | void inc() {
    method value (line 24) | int value() { return counter_value; }
  type InitCounter (line 30) | struct InitCounter {
  function test_simple_thread_local (line 36) | void test_simple_thread_local() {
  function test_zero_sized_thread_local (line 60) | void test_zero_sized_thread_local() {
  function test_large_number_of_tasks_no_spill (line 76) | void test_large_number_of_tasks_no_spill() {
  function test_large_number_of_tasks_with_spill (line 111) | void test_large_number_of_tasks_with_spill() {
  function EIGEN_DECLARE_TEST (line 144) | EIGEN_DECLARE_TEST(cxx11_tensor_thread_local) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_thread_pool.cpp
  class TestAllocator (line 19) | class TestAllocator : public Allocator {
    method EIGEN_DEVICE_FUNC (line 22) | EIGEN_DEVICE_FUNC void* allocate(size_t num_bytes) const EIGEN_OVERRIDE {
    method EIGEN_DEVICE_FUNC (line 26) | EIGEN_DEVICE_FUNC void deallocate(void* buffer) const EIGEN_OVERRIDE {
    method alloc_count (line 31) | int alloc_count() const { return alloc_count_; }
    method dealloc_count (line 32) | int dealloc_count() const { return dealloc_count_; }
  function test_multithread_elementwise (line 39) | void test_multithread_elementwise()
  function test_async_multithread_elementwise (line 61) | void test_async_multithread_elementwise()
  function test_multithread_compound_assignment (line 86) | void test_multithread_compound_assignment()
  function test_multithread_contraction (line 110) | void test_multithread_contraction()
  function test_contraction_corner_cases (line 150) | void test_contraction_corner_cases()
  function test_multithread_contraction_agrees_with_singlethread (line 237) | void test_multithread_contraction_agrees_with_singlethread() {
  type SqrtOutputKernel (line 279) | struct SqrtOutputKernel {
    method EIGEN_ALWAYS_INLINE (line 281) | EIGEN_ALWAYS_INLINE void operator()(
  function test_multithread_contraction_with_output_kernel (line 294) | static void test_multithread_contraction_with_output_kernel() {
  function test_async_multithread_contraction_agrees_with_singlethread (line 334) | void test_async_multithread_contraction_agrees_with_singlethread()
  function test_sharded_by_inner_dim_contraction (line 381) | static void test_sharded_by_inner_dim_contraction()
  function test_sharded_by_inner_dim_contraction_with_output_kernel (line 421) | static void test_sharded_by_inner_dim_contraction_with_output_kernel()
  function test_async_sharded_by_inner_dim_contraction (line 461) | static void test_async_sharded_by_inner_dim_contraction()
  function test_async_sharded_by_inner_dim_contraction_with_output_kernel (line 505) | static void test_async_sharded_by_inner_dim_contraction_with_output_kern...
  function test_full_contraction (line 547) | void test_full_contraction() {
  function test_multithreaded_reductions (line 583) | void test_multithreaded_reductions() {
  function test_memcpy (line 605) | void test_memcpy() {
  function test_multithread_random (line 624) | void test_multithread_random()
  function test_multithread_shuffle (line 633) | void test_multithread_shuffle(Allocator* allocator)
  function test_threadpool_allocate (line 657) | void test_threadpool_allocate(TestAllocator* allocator)
  function EIGEN_DECLARE_TEST (line 673) | EIGEN_DECLARE_TEST(cxx11_tensor_thread_pool)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_trace.cpp
  function test_0D_trace (line 18) | static void test_0D_trace() {
  function test_all_dimensions_trace (line 28) | static void test_all_dimensions_trace() {
  function test_simple_trace (line 53) | static void test_simple_trace() {
  function test_trace_in_expr (line 141) | static void test_trace_in_expr() {
  function EIGEN_DECLARE_TEST (line 163) | EIGEN_DECLARE_TEST(cxx11_tensor_trace) {

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_uint128.cpp
  function VERIFY_EQUAL (line 27) | void VERIFY_EQUAL(TensorUInt128<uint64_t, uint64_t> actual, uint128_t ex...
  function test_add (line 40) | void test_add() {
  function test_sub (line 59) | void test_sub() {
  function test_mul (line 78) | void test_mul() {
  function test_div (line 97) | void test_div() {
  function test_misc1 (line 116) | void test_misc1() {
  function test_misc2 (line 131) | void test_misc2() {
  function EIGEN_DECLARE_TEST (line 147) | EIGEN_DECLARE_TEST(cxx11_tensor_uint128)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_volume_patch.cpp
  function test_single_voxel_patch (line 7) | static void test_single_voxel_patch()
  function test_entire_volume_patch (line 39) | static void test_entire_volume_patch()
  function EIGEN_DECLARE_TEST (line 108) | EIGEN_DECLARE_TEST(cxx11_tensor_volume_patch)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/cxx11_tensor_volume_patch_sycl.cpp
  function test_single_voxel_patch_sycl (line 27) | static void test_single_voxel_patch_sycl(const Eigen::SyclDevice& sycl_d...
  function test_entire_volume_patch_sycl (line 98) | static void test_entire_volume_patch_sycl(const Eigen::SyclDevice& sycl_...
  function sycl_tensor_volume_patch_test_per_device (line 210) | void sycl_tensor_volume_patch_test_per_device(dev_Selector s){
  function EIGEN_DECLARE_TEST (line 217) | EIGEN_DECLARE_TEST(cxx11_tensor_volume_patch_sycl)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/dgmres.cpp
  function test_dgmres_T (line 14) | void test_dgmres_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(dgmres)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/forward_adolc.cpp
  function EIGEN_DONT_INLINE (line 17) | EIGEN_DONT_INLINE typename Vector::Scalar foo(const Vector& p)
  type TestFunc1 (line 24) | struct TestFunc1
    method TestFunc1 (line 37) | TestFunc1() : m_inputs(InputsAtCompileTime), m_values(ValuesAtCompileT...
    method TestFunc1 (line 38) | TestFunc1(int inputs_, int values_) : m_inputs(inputs_), m_values(valu...
    method inputs (line 40) | int inputs() const { return m_inputs; }
    method values (line 41) | int values() const { return m_values; }
  function adolc_forward_jacobian (line 99) | void adolc_forward_jacobian(const Func& f)
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(forward_adolc)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/gmres.cpp
  function test_gmres_T (line 14) | void test_gmres_T()
  function EIGEN_DECLARE_TEST (line 27) | EIGEN_DECLARE_TEST(gmres)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/idrs.cpp
  function test_idrs_T (line 14) | void test_idrs_T()
  function EIGEN_DECLARE_TEST (line 23) | EIGEN_DECLARE_TEST(idrs)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/kronecker_product.cpp
  function check_dimension (line 20) | void check_dimension(const MatrixType& ab, const int rows,  const int cols)
  function check_kronecker_product (line 28) | void check_kronecker_product(const MatrixType& ab)
  function check_sparse_kronecker_product (line 73) | void check_sparse_kronecker_product(const MatrixType& ab)
  function EIGEN_DECLARE_TEST (line 87) | EIGEN_DECLARE_TEST(kronecker_product)
  function EIGEN_DECLARE_TEST (line 243) | EIGEN_DECLARE_TEST(kronecker_product)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/levenberg_marquardt.cpp
  type lmder_functor (line 29) | struct lmder_functor : DenseFunctor<double>
    method lmder_functor (line 31) | lmder_functor(void): DenseFunctor<double>(3,15) {}
    method df (line 48) | int df(const VectorXd &x, MatrixXd &fjac) const
  function testLmder1 (line 65) | void testLmder1()
  function testLmder (line 93) | void testLmder()
  type lmdif_functor (line 141) | struct lmdif_functor : DenseFunctor<double>
    method lmdif_functor (line 143) | lmdif_functor(void) : DenseFunctor<double>(3,15) {}
  function testLmdif1 (line 166) | void testLmdif1()
  function testLmdif (line 196) | void testLmdif()
  type chwirut2_functor (line 244) | struct chwirut2_functor : DenseFunctor<double>
    method chwirut2_functor (line 246) | chwirut2_functor(void) : DenseFunctor<double>(3,54) {}
    method df (line 261) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistChwirut2 (line 281) | void testNistChwirut2(void)
  type misra1a_functor (line 331) | struct misra1a_functor : DenseFunctor<double>
    method misra1a_functor (line 333) | misra1a_functor(void) : DenseFunctor<double>(2,14) {}
    method df (line 345) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1a (line 361) | void testNistMisra1a(void)
  type hahn1_functor (line 405) | struct hahn1_functor : DenseFunctor<double>
    method hahn1_functor (line 407) | hahn1_functor(void) : DenseFunctor<double>(7,236) {}
    method df (line 427) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistHahn1 (line 452) | void testNistHahn1(void)
  type misra1d_functor (line 507) | struct misra1d_functor : DenseFunctor<double>
    method misra1d_functor (line 509) | misra1d_functor(void) : DenseFunctor<double>(2,14) {}
    method df (line 521) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMisra1d (line 538) | void testNistMisra1d(void)
  type lanczos1_functor (line 583) | struct lanczos1_functor : DenseFunctor<double>
    method lanczos1_functor (line 585) | lanczos1_functor(void) : DenseFunctor<double>(6,24) {}
    method df (line 596) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistLanczos1 (line 616) | void testNistLanczos1(void)
  type rat42_functor (line 669) | struct rat42_functor : DenseFunctor<double>
    method rat42_functor (line 671) | rat42_functor(void) : DenseFunctor<double>(3,9) {}
    method df (line 684) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat42 (line 702) | void testNistRat42(void)
  type MGH10_functor (line 748) | struct MGH10_functor : DenseFunctor<double>
    method MGH10_functor (line 750) | MGH10_functor(void) : DenseFunctor<double>(3,16) {}
    method df (line 761) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH10 (line 780) | void testNistMGH10(void)
  type BoxBOD_functor (line 844) | struct BoxBOD_functor : DenseFunctor<double>
    method BoxBOD_functor (line 846) | BoxBOD_functor(void) : DenseFunctor<double>(2,6) {}
    method df (line 857) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBoxBOD (line 873) | void testNistBoxBOD(void)
  type MGH17_functor (line 928) | struct MGH17_functor : DenseFunctor<double>
    method MGH17_functor (line 930) | MGH17_functor(void) : DenseFunctor<double>(5,33) {}
    method df (line 941) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH17 (line 960) | void testNistMGH17(void)
  type MGH09_functor (line 1015) | struct MGH09_functor : DenseFunctor<double>
    method MGH09_functor (line 1017) | MGH09_functor(void) : DenseFunctor<double>(4,11) {}
    method df (line 1030) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistMGH09 (line 1050) | void testNistMGH09(void)
  type Bennett5_functor (line 1102) | struct Bennett5_functor : DenseFunctor<double>
    method Bennett5_functor (line 1104) | Bennett5_functor(void) : DenseFunctor<double>(3,154) {}
    method df (line 1115) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistBennett5 (line 1136) | void testNistBennett5(void)
  type thurber_functor (line 1183) | struct thurber_functor : DenseFunctor<double>
    method thurber_functor (line 1185) | thurber_functor(void) : DenseFunctor<double>(7,37) {}
    method df (line 1199) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistThurber (line 1223) | void testNistThurber(void)
  type rat43_functor (line 1282) | struct rat43_functor : DenseFunctor<double>
    method rat43_functor (line 1284) | rat43_functor(void) : DenseFunctor<double>(4,15) {}
    method df (line 1295) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistRat43 (line 1315) | void testNistRat43(void)
  type eckerle4_functor (line 1370) | struct eckerle4_functor : DenseFunctor<double>
    method eckerle4_functor (line 1372) | eckerle4_functor(void) : DenseFunctor<double>(3,35) {}
    method df (line 1383) | int df(const VectorXd &b, MatrixXd &fjac)
  function testNistEckerle4 (line 1402) | void testNistEckerle4(void)
  function EIGEN_DECLARE_TEST (line 1448) | EIGEN_DECLARE_TEST(levenberg_marquardt)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/matrix_exponential.cpp
  function binom (line 12) | double binom(int n, int k)
  function T (line 21) | T expfn(T x, int)
  function test2dRotation (line 27) | void test2dRotation(double tol)
  function test2dHyperbolicRotation (line 49) | void test2dHyperbolicRotation(double tol)
  function testPascal (line 74) | void testPascal(double tol)
  function randomTest (line 98) | void randomTest(const MatrixType& m, double tol)
  function EIGEN_DECLARE_TEST (line 122) | EIGEN_DECLARE_TEST(matrix_exponential)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/matrix_function.cpp
  function test_isApprox_abs (line 18) | inline bool test_isApprox_abs(const Type1& a, const Type2& b)
  function MatrixType (line 26) | MatrixType randomMatrixWithRealEivals(const Index size)
  type randomMatrixWithImagEivals (line 41) | struct randomMatrixWithImagEivals
  type randomMatrixWithImagEivals<MatrixType, 0> (line 49) | struct randomMatrixWithImagEivals<MatrixType, 0>
    method MatrixType (line 51) | static MatrixType run(const Index size)
  type randomMatrixWithImagEivals<MatrixType, 1> (line 76) | struct randomMatrixWithImagEivals<MatrixType, 1>
    method MatrixType (line 78) | static MatrixType run(const Index size)
  function testMatrixExponential (line 96) | void testMatrixExponential(const MatrixType& A)
  function testMatrixLogarithm (line 106) | void testMatrixLogarithm(const MatrixType& A)
  function testHyperbolicFunctions (line 125) | void testHyperbolicFunctions(const MatrixType& A)
  function testGonioFunctions (line 134) | void testGonioFunctions(const MatrixType& A)
  function testMatrix (line 158) | void testMatrix(const MatrixType& A)
  function testMatrixType (line 167) | void testMatrixType(const MatrixType& m)
  function testMapRef (line 181) | void testMapRef(const MatrixType& A)
  function EIGEN_DECLARE_TEST (line 213) | EIGEN_DECLARE_TEST(matrix_function)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/matrix_functions.h
  function run (line 25) | static void run(MatrixType& m, MatrixType& T, const MatrixType& U)
  function run (line 45) | static void run(MatrixType& result, typename MatrixType::Index size)
  function run (line 57) | static void run(MatrixType& result, typename MatrixType::Index size)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/matrix_power.cpp
  function test2dRotation (line 13) | void test2dRotation(const T& tol)
  function test2dHyperbolicRotation (line 34) | void test2dHyperbolicRotation(const T& tol)
  function test3dRotation (line 56) | void test3dRotation(const T& tol)
  function testGeneral (line 70) | void testGeneral(const MatrixType& m, const typename MatrixType::RealSca...
  function testSingular (line 100) | void testSingular(const MatrixType& m_const, const typename MatrixType::...
  function testLogThenExp (line 133) | void testLogThenExp(const MatrixType& m_const, const typename MatrixType...
  function EIGEN_DECLARE_TEST (line 153) | EIGEN_DECLARE_TEST(matrix_power)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/matrix_square_root.cpp
  function testMatrixSqrt (line 13) | void testMatrixSqrt(const MatrixType& m)
  function EIGEN_DECLARE_TEST (line 21) | EIGEN_DECLARE_TEST(matrix_square_root)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/minres.cpp
  function test_minres_T (line 15) | void test_minres_T()
  function EIGEN_DECLARE_TEST (line 39) | EIGEN_DECLARE_TEST(minres)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/mpreal_support.cpp
  function EIGEN_DECLARE_TEST (line 11) | EIGEN_DECLARE_TEST(mpreal_support)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/openglsupport.cpp
  function printProgramInfoLog (line 66) | void printProgramInfoLog(GLuint objectID)
  function printShaderInfoLog (line 81) | void printShaderInfoLog(GLuint objectID)
  function GLint (line 96) | GLint createProgram(const char* vtx, const char* frg, bool print_errors ...
  function GLint (line 157) | GLint createProgram(const std::string& vtx, const std::string& frg, bool...
  function getGlslVersionString (line 162) | std::string getGlslVersionString(int gl_major_version, int gl_minor_vers...
  function find_and_replace (line 211) | void find_and_replace(
  function format (line 226) | std::string format(
  function openglsupport_test_loop (line 240) | void openglsupport_test_loop()
  function EIGEN_DECLARE_TEST (line 559) | EIGEN_DECLARE_TEST(openglsupport)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/polynomialsolver.cpp
  type Eigen (line 17) | namespace Eigen {
    type internal (line 18) | namespace internal {
      type increment_if_fixed_size (line 20) | struct increment_if_fixed_size
  function PolynomialType (line 30) | PolynomialType polyder(const PolynomialType& p)
  function aux_evalSolver (line 41) | bool aux_evalSolver( const POLYNOMIAL& pols, SOLVER& psolve )
  function evalSolver (line 99) | void evalSolver( const POLYNOMIAL& pols )
  function evalSolverSugarFunction (line 113) | void evalSolverSugarFunction( const POLYNOMIAL& pols, const ROOTS& roots...
  function polynomialsolver (line 183) | void polynomialsolver(int deg)
  function EIGEN_DECLARE_TEST (line 210) | EIGEN_DECLARE_TEST(polynomialsolver)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/polynomialutils.cpp
  type Eigen (line 16) | namespace Eigen {
    type internal (line 17) | namespace internal {
      type increment_if_fixed_size (line 19) | struct increment_if_fixed_size
  function realRoots_to_monicPolynomial_test (line 29) | void realRoots_to_monicPolynomial_test(int deg)
  function realRoots_to_monicPolynomial_scalar (line 49) | void realRoots_to_monicPolynomial_scalar()
  function CauchyBounds (line 67) | void CauchyBounds(int deg)
  function CauchyBounds_scalar (line 90) | void CauchyBounds_scalar()
  function EIGEN_DECLARE_TEST (line 104) | EIGEN_DECLARE_TEST(polynomialutils)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/sparse_extra.cpp
  function test_random_setter (line 23) | bool test_random_setter(SparseMatrix<Scalar,Options>& sm, const DenseTyp...
  function sparse_extra (line 40) | void sparse_extra(const SparseMatrixType& ref)
  function check_marketio (line 120) | void check_marketio()
  function check_marketio_vector (line 133) | void check_marketio_vector()
  function check_marketio_dense (line 144) | void check_marketio_dense()
  function EIGEN_DECLARE_TEST (line 167) | EIGEN_DECLARE_TEST(sparse_extra)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/special_functions.cpp
  function verify_component_wise (line 26) | void verify_component_wise(const X& x, const Y& y)
  function array_special_functions (line 39) | void array_special_functions()
  function EIGEN_DECLARE_TEST (line 490) | EIGEN_DECLARE_TEST(special_functions)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/special_packetmath.cpp
  function packetmath_real (line 15) | void packetmath_real()
  type Eigen (line 125) | namespace Eigen {
    type test (line 126) | namespace test {
      type runall (line 129) | struct runall {
        method run (line 130) | static void run() {
  function EIGEN_DECLARE_TEST (line 138) | EIGEN_DECLARE_TEST(special_packetmath)

FILE: extensions/ngp_raymarch/include/op_include/eigen/unsupported/test/splines.cpp
  type Eigen (line 14) | namespace Eigen {
    class Spline<double, 2, Dynamic> (line 18) | class Spline<double, 2, Dynamic>
    class Spline<double, 3, Dynamic> (line 19) | class Spline<double, 3, Dynamic>
    class Spline<double, 2, 2> (line 21) | class Spline<double, 2, 2>
    class Spline<double, 2, 3> (line 22) | class Spline<double, 2, 3>
    class Spline<double, 2, 4> (line 23) | class Spline<double, 2, 4>
    class Spline<double, 2, 5> (line 24) | class Spline<double, 2, 5>
    class Spline<float, 2, Dynamic> (line 26) | class Spline<float, 2, Dynamic>
    class Spline<float, 3, Dynamic> (line 27) | class Spline<float, 3, Dynamic>
    class Spline<float, 3, 2> (line 29) | class Spline<float, 3, 2>
    class Spline<float, 3, 3> (line 30) | class Spline<float, 3, 3>
    class Spline<float, 3, 4> (line 31) | class Spline<float, 3, 4>
    class Spline<float, 3, 5> (line 32) | class Spline<float, 3, 5>
  function closed_spline2d (line 36) | Spline<double, 2, Dynamic> closed_spline2d()
  function spline3d (line 67) | Spline<double, 3, Dynamic> spline3d()
  function eval_spline3d (line 97) | void eval_spline3d()
  function eval_spline3d_onbrks (line 134) | void eval_spline3d_onbrks()
  function eval_closed_spline2d (line 161) | void eval_closed_spline2d()
  function check_global_interpolation2d (line 201) | void check_global_interpolation2d()
  function check_global_interpolation_with_derivatives2d (line 237) | void check_global_interpolation_with_derivatives2d()
  function EIGEN_DECLARE_TEST (line 271) | EIGEN_DECLARE_TEST(splines)

FILE: extensions/ngp_raymarch/include/op_include/pcg32/pcg32.h
  type pcg32 (line 39) | struct pcg32
  function TCNN_HOST_DEVICE (line 62) | TCNN_HOST_DEVICE uint32_t next_uint() {
  function TCNN_HOST_DEVICE (line 71) | TCNN_HOST_DEVICE uint32_t next_uint(uint32_t bound) {
  function TCNN_HOST_DEVICE (line 103) | TCNN_HOST_DEVICE float next_float() {
  function TCNN_HOST_DEVICE (line 121) | TCNN_HOST_DEVICE double next_double() {

FILE: extensions/ngp_raymarch/include/ray_sampler_header.h
  function __device__ (line 24) | inline __device__ float clamp_(float val, float lower, float upper){retu...
  function __device__ (line 25) | inline __device__ float calc_dt(float t, float cone_angle){ return clamp...
  function EColorSpace (line 29) | enum class EColorSpace : int
  type NerfDirection (line 86) | struct NerfDirection
  function copy_with_optional_light_dir (line 92) | struct NerfCoordinate
  function TCNN_HOST_DEVICE (line 133) | TCNN_HOST_DEVICE PitchedPtr() : ptr{nullptr}, stride_in_bytes{sizeof(T)} {}
  function TCNN_HOST_DEVICE (line 169) | TCNN_HOST_DEVICE T &operator[](uint32_t idx)
  function TCNN_HOST_DEVICE (line 174) | TCNN_HOST_DEVICE T operator[](uint32_t idx) const
  function calc_cone_angle (line 248) | float calc_cone_angle(float cosine, const Eigen::Vector2f &focal_length,...
  function __device__ (line 271) | inline __device__ float distance_to_next_voxel(const Vector3f &pos, cons...
  function __device__ (line 282) | inline __device__ float advance_to_next_voxel(float t, float cone_angle,...
  function __device__ (line 298) | inline __device__ uint32_t cascaded_grid_idx_at(Vector3f pos, uint32_t mip)
  function __device__ (line 315) | inline __device__ bool density_grid_occupied_at(const Vector3f &pos, con...
  function __device__ (line 321) | inline __device__ float cascaded_grid_at(Vector3f pos, const float *casc...
  function __device__ (line 327) | inline __device__ float &cascaded_grid_at(Vector3f pos, float *cascaded_...
  function __device__ (line 341) | inline __device__ Vector3f unwarp_position(const Vector3f &pos, const Bo...
  function __device__ (line 349) | inline __device__ Vector3f unwarp_position_derivative(const Vector3f &po...
  function __device__ (line 357) | inline __device__ Vector3f warp_position_derivative(const Vector3f &pos,...
  function __device__ (line 362) | inline __device__ Vector3f warp_direction(const Vector3f &dir)
  function __device__ (line 367) | inline __device__ Vector3f unwarp_direction(const Vector3f &dir)
  function __device__ (line 372) | inline __device__ Vector3f warp_direction_derivative(const Vector3f &dir)
  function __device__ (line 377) | inline __device__ Vector3f unwarp_direction_derivative(const Vector3f &dir)
  function __device__ (line 388) | inline __device__ float unwarp_dt(float dt)
  function __device__ (line 395) | __device__ inline float random_val(uint32_t seed, uint32_t idx)
  function __device__ (line 440) | inline __device__ float network_to_rgb(float val, ENerfActivation activa...
  function linear_to_srgb (line 485) | float linear_to_srgb(float linear)
  function srgb_to_linear (line 502) | float srgb_to_linear(float srgb)
  type LossAndGradient (line 518) | struct LossAndGradient
  function __device__ (line 534) | inline __device__ float network_to_rgb_derivative(float val, ENerfActiva...
  function __device__ (line 555) | inline __device__ float network_to_density_derivative(float val, ENerfAc...

FILE: extensions/ngp_raymarch/include/raymarch_shared.h
  function pcg32 (line 38) | static pcg32 rng{9121};
  function project (line 345) | inline void project(Vector3f points[N_POINTS], const Vector3f &axis, flo...
  function BoundingBox (line 367) | struct BoundingBox
  function NGP_HOST_DEVICE (line 389) | NGP_HOST_DEVICE void enlarge(const BoundingBox &other)
  function NGP_HOST_DEVICE (line 395) | NGP_HOST_DEVICE void enlarge(const Triangle &tri)
  function NGP_HOST_DEVICE (line 402) | NGP_HOST_DEVICE void enlarge(const Vector3f &point)
  function NGP_HOST_DEVICE (line 408) | NGP_HOST_DEVICE void inflate(float amount)
  function NGP_HOST_DEVICE (line 419) | NGP_HOST_DEVICE Vector3f relative_pos(const Vector3f &pos) const
  function NGP_HOST_DEVICE (line 437) | NGP_HOST_DEVICE bool intersects(const BoundingBox &other) const
  function NGP_HOST_DEVICE (line 446) | NGP_HOST_DEVICE bool intersects(const Triangle &triangle) const
  function NGP_HOST_DEVICE (line 570) | NGP_HOST_DEVICE bool contains(const Vector3f &p) const
  function NGP_HOST_DEVICE (line 578) | NGP_HOST_DEVICE float distance(const Vector3f &p) const
  function NGP_HOST_DEVICE (line 583) | NGP_HOST_DEVICE float distance_sq(const Vector3f &p) const
  function NGP_HOST_DEVICE (line 588) | NGP_HOST_DEVICE float signed_distance(const Vector3f &p) const
  function NGP_HOST_DEVICE (line 594) | NGP_HOST_DEVICE void get_vertices(Vector3f v[8]) const
  function __device__ (line 610) | static __device__ Eigen::Vector3f warp_position(const Eigen::Vector3f &p...
  function logistic (line 615) | inline float logistic(const float x)
  type class (line 619) | enum class
  function __device__ (line 626) | static __device__ float network_to_density(float val, ENerfActivation ac...
  function __device__ (line 646) | __device__ T warp_reduce(T val)
  function block_reduce (line 658) | void block_reduce(
  function reduce_sum_workspace_size (line 747) | static uint32_t reduce_sum_workspace_size(uint32_t n_elements)
  function expand_bits (line 753) | inline uint32_t expand_bits(uint32_t v)
  function morton3D (line 762) | inline uint32_t morton3D(uint32_t x, uint32_t y, uint32_t z)
  function grid_mip_offset (line 771) | uint32_t grid_mip_offset(uint32_t mip) {

FILE: test/apis/test_helper.py
  function get_nerf_network (line 17) | def get_nerf_network():
  function test_helper (line 70) | def test_helper():

FILE: test/datasets/test_dataset.py
  function test_scene_dataset (line 13) | def test_scene_dataset():
  function test_mip_dataset (line 58) | def test_mip_dataset():
  function test_hash_dataset (line 87) | def test_hash_dataset():

FILE: test/datasets/test_load.py
  function test_load (line 13) | def test_load():

FILE: test/datasets/test_pipeline.py
  function test_nerf_no_batching (line 11) | def test_nerf_no_batching():
  function test_nerf_batching (line 55) | def test_nerf_batching():

FILE: test/models/animatable_nerf/test_an_network.py
  function test_base_network (line 20) | def test_base_network():

FILE: test/models/animatable_nerf/test_an_render.py
  function test_base_render (line 19) | def test_base_render():

FILE: test/models/animatable_nerf/test_deform_mlps.py
  function test_base_mlp (line 19) | def test_base_mlp():

FILE: test/models/animatable_nerf/test_human_mlps.py
  function test_base_mlp (line 19) | def test_base_mlp():

FILE: test/models/gnr/test_gnr_mlps.py
  function test_gnr_mlp (line 18) | def test_gnr_mlp():

FILE: test/models/gnr/test_gnr_network.py
  function test_gnr_network (line 18) | def test_gnr_network():

FILE: test/models/hashnerf/test_hashnerf_network.py
  function test_hasnerf_network (line 20) | def test_hasnerf_network():

FILE: test/models/mipnerf/test_mipnerf_network.py
  function test_nerf_network (line 19) | def test_nerf_network():

FILE: test/models/nerf/test_nerf_embedder.py
  function test_nerf_embedder (line 22) | def test_nerf_embedder():

FILE: test/models/nerf/test_nerf_mlps.py
  function test_nerf_mlp (line 16) | def test_nerf_mlp():

FILE: test/models/nerf/test_nerf_network.py
  function get_train_dataset (line 22) | def get_train_dataset():
  function test_nerf_network (line 67) | def test_nerf_network():

FILE: test/models/nerf/test_nerf_render.py
  function test_nerf_render (line 16) | def test_nerf_render():

FILE: test/models/neuralbody/test_nb_embedder.py
  function test_base_embedder (line 24) | def test_base_embedder():

FILE: test/models/neuralbody/test_nb_mlps.py
  function test_base_mlp (line 19) | def test_base_mlp():

FILE: test/models/neuralbody/test_nb_network.py
  function test_base_network (line 20) | def test_base_network():

FILE: test/models/neuralbody/test_nb_render.py
  function test_base_render (line 19) | def test_base_render():

FILE: tools/convert_blender_data.py
  function load_renderings (line 19) | def load_renderings(data_dir, split):
  function down2 (line 43) | def down2(img):
  function convert_to_nerfdata (line 48) | def convert_to_nerfdata(basedir, newdir, n_down):
  function main (line 128) | def main(unused_argv):

FILE: xrnerf/core/apis/api.py
  function run_nerf (line 10) | def run_nerf(args):

FILE: xrnerf/core/apis/helper.py
  function parse_args (line 20) | def parse_args():
  function replace_dataname (line 41) | def replace_dataname(dataname, cfg):
  function kilo_replace (line 52) | def kilo_replace(dataname, cfg):
  function update_config (line 68) | def update_config(dataname, cfg):
  function update_loadfrom (line 76) | def update_loadfrom(load_from, cfg):
  function build_dataloader (line 83) | def build_dataloader(cfg, mode='train'):
  function get_optimizer (line 113) | def get_optimizer(model, cfg):
  function register_hooks (line 123) | def register_hooks(hook_cfgs, **variables):
  function get_runner (line 141) | def get_runner(runner_cfg):

FILE: xrnerf/core/apis/test.py
  function test_nerf (line 13) | def test_nerf(cfg):

FILE: xrnerf/core/apis/train.py
  function train_nerf (line 14) | def train_nerf(cfg):

FILE: xrnerf/core/hooks/build_occupancy_tree_hook.py
  class BuildOccupancyTreeHook (line 19) | class BuildOccupancyTreeHook(Hook):
    method __init__ (line 27) | def __init__(self, cfg=None):
    method after_run (line 32) | def after_run(self, runner):

FILE: xrnerf/core/hooks/distill_cycle_hook.py
  class DistllCycleHook (line 16) | class DistllCycleHook(Hook):
    method __init__ (line 22) | def __init__(self, cfg=None):
    method before_run (line 26) | def before_run(self, runner):
    method after_val_iter (line 38) | def after_val_iter(self, runner):
    method _update_train_distill_cyle (line 46) | def _update_train_distill_cyle(self, runner, index):

FILE: xrnerf/core/hooks/hash_hook.py
  class PassDatasetHook (line 13) | class PassDatasetHook(Hook):
    method __init__ (line 15) | def __init__(self, dataset=None):
    method before_run (line 18) | def before_run(self, runner):  # only run once
  class PassSamplerIterHook (line 26) | class PassSamplerIterHook(Hook):
    method before_train_iter (line 28) | def before_train_iter(self, runner):
  class ModifyBatchsizeHook (line 33) | class ModifyBatchsizeHook(Hook):
    method __init__ (line 35) | def __init__(self):
    method after_train_iter (line 38) | def after_train_iter(self, runner):
  class HashSaveSpiralHook (line 46) | class HashSaveSpiralHook(Hook):
    method __init__ (line 48) | def __init__(self, save_folder='validation', cfg=None):
    method before_val_epoch (line 54) | def before_val_epoch(self, runner):
    method after_val_iter (line 58) | def after_val_iter(self, runner):
    method after_val_epoch (line 68) | def after_val_epoch(self, runner):
    method apply_mask (line 95) | def apply_mask(self, spiral_data):

FILE: xrnerf/core/hooks/save_distill_results_hook.py
  function get_equal_error_split_threshold (line 24) | def get_equal_error_split_threshold(test_points, errors, split_axis):
  function calculate_error_metrics (line 44) | def calculate_error_metrics(out, test_targets, cfg):
  function log_error_stats (line 114) | def log_error_stats(initial_nodes, phase, cfg, filename):
  class SaveDistillResultsHook (line 193) | class SaveDistillResultsHook(Hook):
    method __init__ (line 201) | def __init__(self, cfg=None, trainset=None):
    method before_train_iter (line 207) | def before_train_iter(self, runner):
    method after_val_iter (line 220) | def after_val_iter(self, runner):

FILE: xrnerf/core/hooks/test_hooks.py
  class TestHook (line 14) | class TestHook(Hook):
    method __init__ (line 19) | def __init__(self,
    method before_val_epoch (line 29) | def before_val_epoch(self, runner):
    method after_val_iter (line 39) | def after_val_iter(self, runner):
    method after_val_epoch (line 67) | def after_val_epoch(self, runner):

FILE: xrnerf/core/hooks/train_hooks.py
  class PassIterHook (line 12) | class PassIterHook(Hook):
    method __init__ (line 17) | def __init__(self):
    method after_train_iter (line 20) | def after_train_iter(self, runner):
  class OccupationHook (line 27) | class OccupationHook(Hook):
    method __init__ (line 30) | def __init__(self):
    method func (line 33) | def func(self, runner):
    method after_train_iter (line 45) | def after_train_iter(self, runner):
    method after_val_iter (line 49) | def after_val_iter(self, runner):
  class MipLrUpdaterHook (line 55) | class MipLrUpdaterHook(LrUpdaterHook):
    method __init__ (line 57) | def __init__(self,
    method get_lr (line 71) | def get_lr(self, runner, base_lr):

FILE: xrnerf/core/hooks/utils.py
  function to8b (line 5) | def to8b(x):
  function img2mse (line 10) | def img2mse(x, y):
  function mse2psnr (line 15) | def mse2psnr(x):
  function calculate_ssim (line 20) | def calculate_ssim(im1, im2, data_range=255, multichannel=True):

FILE: xrnerf/core/hooks/validation_hooks.py
  class SetValPipelineHook (line 13) | class SetValPipelineHook(Hook):
    method __init__ (line 15) | def __init__(self, valset=None):
    method before_run (line 18) | def before_run(self, runner):
  class SaveSpiralHook (line 25) | class SaveSpiralHook(Hook):
    method __init__ (line 28) | def __init__(self, save_folder='validation'):
    method after_val_iter (line 31) | def after_val_iter(self, runner):
  class NBSaveSpiralHook (line 55) | class NBSaveSpiralHook(Hook):
    method __init__ (line 58) | def __init__(self, save_folder='validation'):
    method after_val_iter (line 63) | def after_val_iter(self, runner):
    method after_val_epoch (line 71) | def after_val_epoch(self, runner):
  class ValidateHook (line 96) | class ValidateHook(Hook):
    method __init__ (line 98) | def __init__(self, save_folder='validation'):
    method after_val_iter (line 101) | def after_val_iter(self, runner):
  class CalElapsedTimeHook (line 155) | class CalElapsedTimeHook(Hook):
    method __init__ (line 157) | def __init__(self, cfg=None):
    method after_val_iter (line 160) | def after_val_iter(self, runner):

FILE: xrnerf/core/runner/base.py
  class NerfTrainRunner (line 4) | class NerfTrainRunner(IterBasedRunner):
  class NerfTestRunner (line 9) | class NerfTestRunner(EpochBasedRunner):

FILE: xrnerf/core/runner/bungeenerf_runner.py
  class BungeeNerfTrainRunner (line 10) | class BungeeNerfTrainRunner(IterBasedRunner):
    method train (line 11) | def train(self, data_loader, **kwargs):
  class BungeeNerfTestRunner (line 39) | class BungeeNerfTestRunner(EpochBasedRunner):

FILE: xrnerf/core/runner/kilonerf_runner.py
  class KiloNerfDistillTrainRunner (line 11) | class KiloNerfDistillTrainRunner(IterBasedRunner):
    method run (line 17) | def run(self, data_loaders, workflow, max_iters=None, **kwargs):
  class KiloNerfTrainRunner (line 72) | class KiloNerfTrainRunner(IterBasedRunner):
  class KiloNerfTestRunner (line 77) | class KiloNerfTestRunner(EpochBasedRunner):

FILE: xrnerf/datasets/aninerf_dataset.py
  class AniNeRFDataset (line 18) | class AniNeRFDataset(NeuralBodyDataset):
    method __init__ (line 21) | def __init__(self, cfg, pipeline):
    method _init_load (line 28) | def _init_load(self):
    method load_bigpose (line 43) | def load_bigpose(self):
    method _fetch_train_data (line 58) | def _fetch_train_data(self, idx):

FILE: xrnerf/datasets/base.py
  class BaseDataset (line 15) | class BaseDataset(Dataset, metaclass=ABCMeta):
    method __init__ (line 16) | def __init__(self):
    method __len__ (line 19) | def __len__(self):
    method __getitem__ (line 22) | def __getitem__(self, idx):
    method _init_pipeline (line 25) | def _init_pipeline(self, pipeline):
    method _fetch_train_data (line 33) | def _fetch_train_data(self, idx):
    method _fetch_val_data (line 36) | def _fetch_val_data(self, idx):
    method _fetch_test_data (line 39) | def _fetch_test_data(self, idx):
    method set_iter (line 42) | def set_iter(self, iter_n):

FILE: xrnerf/datasets/builder.py
  function build_dataset (line 12) | def build_dataset(cfg, default_args=None):

FILE: xrnerf/datasets/bungee_dataset.py
  class BungeeDataset (line 12) | class BungeeDataset(SceneBaseDataset):
    method __init__ (line 13) | def __init__(self, cfg, pipeline):
    method _init_load (line 17) | def _init_load(self):  # load dataset when init
    method _fetch_train_data (line 28) | def _fetch_train_data(self, idx):
    method _fetch_val_data (line 47) | def _fetch_val_data(self, idx):  # for val mode, fetch all data in one...
    method _fetch_test_data (line 55) | def _fetch_test_data(
    method get_info (line 64) | def get_info(self):

FILE: xrnerf/datasets/genebody_dataset.py
  class GeneBodyDataset (line 24) | class GeneBodyDataset(BaseDataset):
    method modify_commandline_options (line 26) | def modify_commandline_options(parser):
    method __init__ (line 29) | def __init__(self, opt, pipeline, phase='eval', root=None, move_cam=0):
    method get_frames (line 76) | def get_frames(self, i=0):
    method get_render_poses (line 95) | def get_render_poses(self, annots, move_cam=150):
    method __len__ (line 110) | def __len__(self):
    method image_cropping (line 116) | def image_cropping(self, mask):
    method get_near_far (line 160) | def get_near_far(self, smpl_verts, w2c):
    method get_realworld_scale (line 167) | def get_realworld_scale(self, smpl_verts, bbox, w2c, K):
    method get_image (line 184) | def get_image(self,
    method _fetch_train_data (line 376) | def _fetch_train_data(self, index):
    method __getitem__ (line 444) | def __getitem__(self, index):

FILE: xrnerf/datasets/hashnerf_dataset.py
  class HashNerfDataset (line 15) | class HashNerfDataset(SceneBaseDataset):
    method __init__ (line 16) | def __init__(self, cfg, pipeline):
    method check_img (line 20) | def check_img(self):
    method _init_load (line 26) | def _init_load(self):
    method get_alldata (line 56) | def get_alldata(self):
    method get_info (line 76) | def get_info(self):
    method set_batchsize (line 89) | def set_batchsize(self, bs):
    method _fetch_train_data (line 92) | def _fetch_train_data(self, idx):
    method _fetch_val_data (line 98) | def _fetch_val_data(self, idx):
    method _fetch_test_data (line 104) | def _fetch_test_data(self, idx):
    method __getitem__ (line 117) | def __getitem__(self, idx):
    method __len__ (line 128) | def __len__(self):

FILE: xrnerf/datasets/kilonerf_dataset.py
  class KiloNerfDataset (line 13) | class KiloNerfDataset(SceneBaseDataset):
    method __init__ (line 14) | def __init__(self, cfg, pipeline):
    method _fetch_train_data (line 19) | def _fetch_train_data(self, idx):
    method _fetch_val_data (line 34) | def _fetch_val_data(self, idx):  # for val mode, fetch all data in one...
    method _fetch_test_data (line 40) | def _fetch_test_data(

FILE: xrnerf/datasets/kilonerf_node_dataset.py
  class KiloNerfNodeDataset (line 18) | class KiloNerfNodeDataset(SceneBaseDataset):
    method __init__ (line 21) | def __init__(self, cfg, pipeline):
    method _init_load (line 25) | def _init_load(self):
    method _init_examples (line 74) | def _init_examples(self):
    method _init_pipeline (line 106) | def _init_pipeline(self, pipeline):
    method get_nodes_fixed_resolution (line 109) | def get_nodes_fixed_resolution(self, fixed_resolution, global_domain_min,
    method get_random_points_inside_domain (line 137) | def get_random_points_inside_domain(self, num_points, domain_min,
    method get_random_directions (line 159) | def get_random_directions(self, num_samples):
    method get_info (line 172) | def get_info(self):
    method _fetch_train_data (line 177) | def _fetch_train_data(self, idx):
    method _fetch_val_data (line 185) | def _fetch_val_data(self, idx):
    method _fetch_test_data (line 192) | def _fetch_test_data(self, idx):
    method __getitem__ (line 198) | def __getitem__(self, idx):
    method __len__ (line 208) | def __len__(self):

FILE: xrnerf/datasets/load_data/get_rays.py
  function get_rays_np (line 5) | def get_rays_np(H, W, K, c2w):
  function load_rays (line 21) | def load_rays(H, W, K, poses, images, i_data):
  function get_rays_np_hash (line 35) | def get_rays_np_hash(H, W, K, c2w):
  function load_rays_hash (line 72) | def load_rays_hash(H, W, K, poses, images):
  function load_rays_multiscale (line 101) | def load_rays_multiscale(meta, n_examples):
  function get_rays_np_bungee (line 156) | def get_rays_np_bungee(H, W, focal, c2w):
  function load_rays_bungee (line 168) | def load_rays_bungee(H, W, focal, poses, images, i_data, n_images, scale...

FILE: xrnerf/datasets/load_data/load.py
  function load_data (line 12) | def load_data(args):

FILE: xrnerf/datasets/load_data/load_LINEMOD.py
  function pose_spherical (line 22) | def pose_spherical(theta, phi, radius):
  function load_LINEMOD_data (line 32) | def load_LINEMOD_data(basedir, half_res=False, testskip=1):

FILE: xrnerf/datasets/load_data/load_blender.py
  function pose_spherical (line 22) | def pose_spherical(theta, phi, radius):
  function load_blender_data (line 32) | def load_blender_data(basedir, half_res=False, testskip=1):

FILE: xrnerf/datasets/load_data/load_deepvoxels.py
  function load_dv_data (line 7) | def load_dv_data(scene='cube', basedir='/data/deepvoxels', testskip=8):

FILE: xrnerf/datasets/load_data/load_llff.py
  function _minify (line 10) | def _minify(basedir, factors=[], resolutions=[]):
  function _load_data (line 68) | def _load_data(basedir, factor=None, width=None, height=None, load_imgs=...
  function normalize (line 131) | def normalize(x):
  function viewmatrix (line 135) | def viewmatrix(z, up, pos):
  function ptstocam (line 144) | def ptstocam(pts, c2w):
  function poses_avg (line 149) | def poses_avg(poses):
  function render_path_spiral (line 161) | def render_path_spiral(c2w, up, rads, focal, zdelta, zrate, rots, N):
  function recenter_poses (line 177) | def recenter_poses(poses):
  function spherify_poses (line 195) | def spherify_poses(poses, bds):
  function load_llff_data (line 266) | def load_llff_data(basedir,

FILE: xrnerf/datasets/load_data/load_multiscale.py
  function load_multiscale_data (line 8) | def load_multiscale_data(datadir, mode, white_bkgd):

FILE: xrnerf/datasets/load_data/load_multiscale_google.py
  function load_google_data (line 8) | def load_google_data(datadir, factor=None):

FILE: xrnerf/datasets/load_data/load_nsvf_dataset.py
  function load_intrinsics (line 7) | def load_intrinsics(filepath, resized_width=None, invert_y=False):
  function load_matrix (line 35) | def load_matrix(path):
  function get_distance_to_closest_point_in_box (line 46) | def get_distance_to_closest_point_in_box(point, domain_min, domain_max):
  function get_distance_to_furthest_point_in_box (line 65) | def get_distance_to_furthest_point_in_box(point, domain_min, domain_max):
  function parse_intrinsics (line 83) | def parse_intrinsics(intrinsics):
  class CameraIntrinsics (line 91) | class CameraIntrinsics:
    method __init__ (line 92) | def __init__(self, H, W, fx, fy, cx, cy):
  function parse_extrinsics (line 102) | def parse_extrinsics(extrinsics, world2camera=True):
  function load_nsvf_dataset (line 113) | def load_nsvf_dataset(path, testskip, test_traj_path=None):

FILE: xrnerf/datasets/mip_multiscale_dataset.py
  class MipMultiScaleDataset (line 18) | class MipMultiScaleDataset(SceneBaseDataset):
    method _init_load (line 19) | def _init_load(self):
    method _init_pipeline (line 27) | def _init_pipeline(self, pipeline):
    method __getitem__ (line 30) | def __getitem__(self, idx):
    method __len__ (line 39) | def __len__(self):
    method _fetch_train_data (line 42) | def _fetch_train_data(self, idx):
    method _fetch_test_data (line 48) | def _fetch_test_data(self, idx):

FILE: xrnerf/datasets/neuralbody_dataset.py
  class NeuralBodyDataset (line 17) | class NeuralBodyDataset(BaseDataset):
    method __init__ (line 20) | def __init__(self, cfg, pipeline):
    method _init_load (line 38) | def _init_load(self):  # load dataset when init
    method _fetch_train_data (line 77) | def _fetch_train_data(self, idx):
    method __getitem__ (line 98) | def __getitem__(self, idx):
    method __len__ (line 106) | def __len__(self):

FILE: xrnerf/datasets/pipelines/augment.py
  class SelectRays (line 12) | class SelectRays:
    method __init__ (line 17) | def __init__(self,
    method __call__ (line 31) | def __call__(self, results):
    method __repr__ (line 78) | def __repr__(self):
  class NBSelectRays (line 84) | class NBSelectRays:
    method __init__ (line 89) | def __init__(self,
    method get_bound_2d_mask (line 102) | def get_bound_2d_mask(bounds, K, pose, H, W):
    method get_near_far (line 135) | def get_near_far(bounds, ray_o, ray_d):
    method sample_rays (line 152) | def sample_rays(self, results, bounds, bound_mask, human_mask):
    method select_all_rays (line 199) | def select_all_rays(self, results, bounds):
    method __call__ (line 223) | def __call__(self, results):
    method __repr__ (line 255) | def __repr__(self):
  class PerturbZvals (line 261) | class PerturbZvals:
    method __init__ (line 266) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 269) | def __call__(self, results):
    method __repr__ (line 285) | def __repr__(self):
  class RandomBGColor (line 290) | class RandomBGColor:
    method __init__ (line 295) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 299) | def __call__(self, results):
    method __repr__ (line 315) | def __repr__(self):

FILE: xrnerf/datasets/pipelines/compose.py
  class Compose (line 13) | class Compose:
    method __init__ (line 20) | def __init__(self, transforms):
    method __call__ (line 33) | def __call__(self, data):
    method __repr__ (line 47) | def __repr__(self):
  function to_tensor (line 56) | def to_tensor(data):
  class ToTensor (line 77) | class ToTensor:
    method __init__ (line 84) | def __init__(self, keys, **kwargs):
    method __call__ (line 88) | def __call__(self, results):
    method __repr__ (line 99) | def __repr__(self):

FILE: xrnerf/datasets/pipelines/create.py
  class Sample (line 20) | class Sample:
    method __init__ (line 25) | def __init__(self, enable=True, N_rand=1024, **kwargs):
    method __call__ (line 29) | def __call__(self, results):
    method __repr__ (line 43) | def __repr__(self):
  class MipMultiScaleSample (line 49) | class MipMultiScaleSample:
    method __init__ (line 54) | def __init__(self, enable=True, N_rand=1024, keys=[], **kwargs):
    method __call__ (line 59) | def __call__(self, results):
    method __repr__ (line 77) | def __repr__(self):
  class BatchSample (line 83) | class BatchSample:
    method __init__ (line 88) | def __init__(self, enable=True, N_rand=1024, **kwargs):
    method __call__ (line 93) | def __call__(self, results):
    method __repr__ (line 110) | def __repr__(self):
  class BungeeBatchSample (line 116) | class BungeeBatchSample:
    method __init__ (line 121) | def __init__(self, enable=True, N_rand=1024, **kwargs):
    method __call__ (line 126) | def __call__(self, results):
    method __repr__ (line 147) | def __repr__(self):
  class HashBatchSample (line 153) | class HashBatchSample:
    method __init__ (line 158) | def __init__(self, enable=True, N_rand=1024, **kwargs):
    method __call__ (line 164) | def __call__(self, results):
    method __repr__ (line 189) | def __repr__(self):
  class GetRays (line 195) | class GetRays:
    method __init__ (line 200) | def __init__(self, enable=True, include_radius=False, **kwargs):
    method __call__ (line 205) | def __call__(self, results):
    method __repr__ (line 247) | def __repr__(self):
  class KilonerfGetRays (line 253) | class KilonerfGetRays:
    method __init__ (line 258) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 262) | def __call__(self, results):
    method __repr__ (line 302) | def __repr__(self):
  class NBGetRays (line 308) | class NBGetRays:
    method __init__ (line 313) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 317) | def __call__(self, results):
    method __repr__ (line 350) | def __repr__(self):
  class HashGetRays (line 356) | class HashGetRays:
    method __init__ (line 361) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 365) | def __call__(self, results):
    method __repr__ (line 391) | def __repr__(self):
  class HashSetImgids (line 397) | class HashSetImgids:
    method __init__ (line 402) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 406) | def __call__(self, results):
    method __repr__ (line 424) | def __repr__(self):
  class GetViewdirs (line 429) | class GetViewdirs:
    method __init__ (line 434) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 437) | def __call__(self, results):
    method __repr__ (line 450) | def __repr__(self):
  class GetBounds (line 456) | class GetBounds:
    method __init__ (line 461) | def __init__(self, enable=True, near_new=None, far_new=None, **kwargs):
    method __call__ (line 468) | def __call__(self, results):
    method __repr__ (line 481) | def __repr__(self):
  class GetZvals (line 486) | class GetZvals:
    method __init__ (line 491) | def __init__(self,
    method __call__ (line 502) | def __call__(self, results):
    method __repr__ (line 533) | def __repr__(self):
  class BungeeGetZvals (line 539) | class BungeeGetZvals:
    method __init__ (line 544) | def __init__(self, enable=True, N_samples=64, **kwargs):
    method __call__ (line 548) | def __call__(self, results):
  class GetPts (line 580) | class GetPts:
    method __init__ (line 585) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 588) | def __call__(self, results):
    method __repr__ (line 599) | def __repr__(self):
  class DeleteUseless (line 605) | class DeleteUseless:
    method __init__ (line 610) | def __init__(self, enable=True, keys=[], **kwargs):
    method __call__ (line 614) | def __call__(self, results):
    method __repr__ (line 626) | def __repr__(self):
  class ExampleSample (line 631) | class ExampleSample:
    method __init__ (line 636) | def __init__(self, enable=True, train_batch_size=0, **kwargs):
    method __call__ (line 640) | def __call__(self, results):
    method __repr__ (line 654) | def __repr__(self):
  class LoadImageAndCamera (line 660) | class LoadImageAndCamera:
    method __init__ (line 662) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 665) | def __call__(self, results):
    method __repr__ (line 724) | def __repr__(self):
  class LoadSmplParam (line 730) | class LoadSmplParam:
    method __init__ (line 732) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 735) | def __call__(self, results):
    method __repr__ (line 775) | def __repr__(self):
  class LoadCamAndSmplParam (line 780) | class LoadCamAndSmplParam:
    method __init__ (line 782) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 785) | def __call__(self, results):
    method __repr__ (line 829) | def __repr__(self):
  class BungeeGetBounds (line 835) | class BungeeGetBounds:
    method __init__ (line 840) | def __init__(self, enable=True, ray_nearfar='sphere', **kwargs):
    method __call__ (line 846) | def __call__(self, results):
    method __repr__ (line 917) | def __repr__(self):

FILE: xrnerf/datasets/pipelines/transforms.py
  class ToNDC (line 10) | class ToNDC:
    method __init__ (line 15) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 21) | def __call__(self, results):
    method ndc_rays (line 32) | def ndc_rays(self, H, W, focal, near, rays_o, rays_d):
    method __repr__ (line 49) | def __repr__(self):
  class FlattenRays (line 55) | class FlattenRays:
    method __init__ (line 60) | def __init__(self, enable=True, include_radius=False, **kwargs):
    method __call__ (line 64) | def __call__(self, results):
    method __repr__ (line 84) | def __repr__(self):
  class CalculateSkelTransf (line 90) | class CalculateSkelTransf:
    method __init__ (line 95) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 98) | def __call__(self, results):
    method __repr__ (line 114) | def __repr__(self):
  class AninerfIdxConversion (line 120) | class AninerfIdxConversion:
    method __init__ (line 125) | def __init__(self, enable=True, **kwargs):
    method __call__ (line 128) | def __call__(self, results):
    method __repr__ (line 141) | def __repr__(self):

FILE: xrnerf/datasets/samplers/distributed_sampler.py
  class DistributedSampler (line 5) | class DistributedSampler(_DistributedSampler):
    method __init__ (line 12) | def __init__(self,
    method __iter__ (line 23) | def __iter__(self):

FILE: xrnerf/datasets/scene_dataset.py
  class SceneBaseDataset (line 12) | class SceneBaseDataset(BaseDataset):
    method __init__ (line 13) | def __init__(self, cfg, pipeline):
    method _init_load (line 22) | def _init_load(self):  # load dataset when init
    method get_info (line 31) | def get_info(self):
    method _fetch_train_data (line 44) | def _fetch_train_data(self, idx):
    method _fetch_val_data (line 57) | def _fetch_val_data(self, idx):  # for val mode, fetch all data in one...
    method _fetch_test_data (line 62) | def _fetch_test_data(
    method __getitem__ (line 68) | def __getitem__(self, idx):
    method __len__ (line 79) | def __len__(self):

FILE: xrnerf/datasets/utils/aninerf.py
  function batch_rodrigues (line 4) | def batch_rodrigues(poses):
  function get_rigid_transformation (line 26) | def get_rigid_transformation(poses, joints, parents, return_joints=False):

FILE: xrnerf/datasets/utils/flatten.py
  function flatten (line 5) | def flatten(x):

FILE: xrnerf/datasets/utils/genebody.py
  function max_precision (line 57) | def max_precision(type1, type2):
  function decode (line 92) | def decode(content, structure, num, form):
  function mask_padding (line 147) | def mask_padding(mask, border=5):
  function euler2rot (line 157) | def euler2rot(euler):
  function rot2euler (line 170) | def rot2euler(R):
  function gen_cam_views (line 177) | def gen_cam_views(transl, z_pitch, viewnum):
  function normalize_v3 (line 205) | def normalize_v3(arr):
  function compute_normal (line 216) | def compute_normal(vertices, faces):
  function load_obj_mesh (line 238) | def load_obj_mesh(mesh_file,
  function load_ply (line 370) | def load_ply(file_name):

FILE: xrnerf/datasets/utils/hashnerf.py
  function matrix_nerf2ngp (line 4) | def matrix_nerf2ngp(matrix, correct_pose, scale, offset):
  function poses_nerf2ngp (line 14) | def poses_nerf2ngp(poses, correct_pose, scale, offset):

FILE: xrnerf/datasets/utils/novel_view.py
  function normalize (line 4) | def normalize(x):
  function viewmatrix (line 8) | def viewmatrix(z, up, pos):
  function ptstocam (line 17) | def ptstocam(pts, c2w):
  function gen_spiral_path (line 22) | def gen_spiral_path(R, T, num_render_views, center=None):

FILE: xrnerf/models/builder.py
  function build_mlp (line 15) | def build_mlp(cfg):
  function build_render (line 20) | def build_render(cfg):
  function build_embedder (line 25) | def build_embedder(cfg):
  function build_network (line 30) | def build_network(cfg):
  function build_sampler (line 35) | def build_sampler(cfg):

FILE: xrnerf/models/embedders/base.py
  class BaseEmbedder (line 9) | class BaseEmbedder(nn.Module):
    method __init__ (line 10) | def __init__(self,
    method create_embedding_fn (line 26) | def create_embedding_fn(self,
    method get_embed_ch (line 54) | def get_embed_ch(self):
    method forward (line 57) | def forward(self, data):
    method run_embed (line 76) | def run_embed(self, x, embed_fns):

FILE: xrnerf/models/embedders/bungee_embedder.py
  class BungeeEmbedder (line 9) | class BungeeEmbedder(nn.Module):
    method __init__ (line 10) | def __init__(self,
    method create_mip_embedding_fn (line 26) | def create_mip_embedding_fn(self,
    method create_embedding_fn (line 57) | def create_embedding_fn(self,
    method get_embed_ch (line 85) | def get_embed_ch(self):
    method forward (line 88) | def forward(self, data):
    method run_embed (line 105) | def run_embed(self, x, embed_fns):

FILE: xrnerf/models/embedders/gnr_embedder.py
  function conv3x3 (line 16) | def conv3x3(in_planes, out_planes, strd=1, padding=1, bias=False):
  class ConvBlock (line 26) | class ConvBlock(nn.Module):
    method __init__ (line 27) | def __init__(self, in_planes, out_planes, norm='batch'):
    method forward (line 57) | def forward(self, x):
  class PositionalEncoding (line 83) | class PositionalEncoding:
    method __init__ (line 85) | def __init__(self,
    method create_embedding_fn (line 97) | def create_embedding_fn(self, d):
    method embed (line 129) | def embed(self, inputs):
  class SphericalHarmonics (line 134) | class SphericalHarmonics:
    method __init__ (line 136) | def __init__(self, d=3, rank=3):
    method Lengdre_polynormial (line 141) | def Lengdre_polynormial(self, x, omx=None):
    method SH (line 154) | def SH(self, xyz):
    method embed (line 176) | def embed(self, inputs):
  class SRFilters (line 181) | class SRFilters(nn.Module):
    method __init__ (line 183) | def __init__(self, order=2, in_ch=256, out_ch=128):
    method forward (line 194) | def forward(self, feat, images):
  class HourGlass (line 210) | class HourGlass(nn.Module):
    method __init__ (line 211) | def __init__(self, num_modules, depth, num_features, norm='batch'):
    method _generate_network (line 220) | def _generate_network(self, level):
    method _forward (line 240) | def _forward(self, level, inp):
    method forward (line 269) | def forward(self, x):
  class HGFilter (line 274) | class HGFilter(nn.Module):
    method __init__ (line 275) | def __init__(self, opt):
    method forward (line 348) | def forward(self, x):

FILE: xrnerf/models/embedders/kilonerf_fourier_embedder.py
  class MultiNetworkFourierEmbedding (line 12) | class MultiNetworkFourierEmbedding(nn.Module):
    method __init__ (line 13) | def __init__(
    method forward (line 30) | def forward(self,
  class KiloNerfFourierEmbedder (line 62) | class KiloNerfFourierEmbedder(nn.Module):
    method __init__ (line 64) | def __init__(self,
    method create_embedding_fn (line 77) | def create_embedding_fn(self, num_networks, multires, input_ch=3):
    method get_embed_ch (line 82) | def get_embed_ch(self):
    method forward (line 85) | def forward(self, data, fourier_embedding_implementation='pytorch'):

FILE: xrnerf/models/embedders/mipnerf_embedder.py
  class MipNerfEmbedder (line 13) | class MipNerfEmbedder(BaseEmbedder):
    method __init__ (line 14) | def __init__(self,
    method expected_sin (line 35) | def expected_sin(x, x_var):
    method integrated_pos_enc (line 43) | def integrated_pos_enc(self, x_coord):
    method pos_enc (line 66) | def pos_enc(self, x):
    method get_embed_ch (line 81) | def get_embed_ch(self):
    method forward (line 89) | def forward(self, data):

FILE: xrnerf/models/embedders/neuralbody_embedder.py
  class SmplEmbedder (line 17) | class SmplEmbedder(nn.Module):
    method __init__ (line 18) | def __init__(self, **kwargs):
    method interpolate_features (line 27) | def interpolate_features(grid_coords, feature_volume):
    method forward (line 39) | def forward(self, datas):
  class SparseConvNet (line 59) | class SparseConvNet(nn.Module):
    method __init__ (line 60) | def __init__(self):
    method forward (line 77) | def forward(self, x):
  function single_conv (line 101) | def single_conv(in_channels, out_channels, indice_key=None):
  function double_conv (line 113) | def double_conv(in_channels, out_channels, indice_key=None):
  function triple_conv (line 132) | def triple_conv(in_channels, out_channels, indice_key=None):
  function stride_conv (line 158) | def stride_conv(in_channels, out_channels, indice_key=None):
  function prepare_sparseconv_data (line 170) | def prepare_sparseconv_data(datas, voxel_size):

FILE: xrnerf/models/mlps/aninerf_mlp.py
  class DeformField (line 12) | class DeformField(nn.Module):
    method __init__ (line 13) | def __init__(self, phase, smpl_threshold, bw_mlp, novel_pose_bw_mlp):
    method get_posed_point_viewdir (line 21) | def get_posed_point_viewdir(self, datas):
    method get_points_near_smpl (line 37) | def get_points_near_smpl(self, posed_pts, posed_dirs, datas):
    method transform_to_tpose (line 58) | def transform_to_tpose(self, pose_pts, pose_dirs, datas):
    method calculate_tpose_tbw (line 88) | def calculate_tpose_tbw(self, tpose, datas):
    method forward (line 98) | def forward(self, datas):
  class TPoseHuman (line 121) | class TPoseHuman(nn.Module):
    method __init__ (line 122) | def __init__(self, **kwargs):
    method calculate_alpha (line 128) | def calculate_alpha(self, tpose):
    method forward (line 134) | def forward(self, deform_ret, datas):
    method filter_and_format_prediction (line 151) | def filter_and_format_prediction(self, raw, deform_ret, datas):
  class AN_BlendWeightMLP (line 186) | class AN_BlendWeightMLP(nn.Module):
    method __init__ (line 187) | def __init__(self, num_pose, embedder):
    method get_bw_feature (line 206) | def get_bw_feature(self, pts, ind):
    method calculate_neural_blend_weights (line 214) | def calculate_neural_blend_weights(self, pose_pts, smpl_bw, latent_ind...
  class AN_DensityMLP (line 228) | class AN_DensityMLP(nn.Module):
    method __init__ (line 229) | def __init__(self, embedder):
    method forward (line 297) | def forward(self, inputs):
  class AN_ColorMLP (line 314) | class AN_ColorMLP(nn.Module):
    method __init__ (line 315) | def __init__(self, num_train_pose, embedder):
    method forward (line 349) | def forward(self, points, view_dirs, feature_vectors, latent_index):

FILE: xrnerf/models/mlps/base.py
  class BaseMLP (line 11) | class BaseMLP(nn.Module, metaclass=ABCMeta):
    method __init__ (line 12) | def __init__(self, **kwarg):
    method forward (line 16) | def forward(self, inputs):

FILE: xrnerf/models/mlps/bungeenerf_mlp.py
  class BungeeNerfBaseBlock (line 11) | class BungeeNerfBaseBlock(nn.Module):
    method __init__ (line 12) | def __init__(self, netwidth=256, input_ch=3, input_ch_views=3):
    method forward (line 22) | def forward(self, input_pts, input_views):
  class BungeeNerfResBlock (line 36) | class BungeeNerfResBlock(nn.Module):
    method __init__ (line 37) | def __init__(self, netwidth=256, input_ch=3, input_ch_views=3):
    method forward (line 48) | def forward(self, input_pts, input_views, h):
  class BungeeNerfMLP (line 63) | class BungeeNerfMLP(BaseMLP):
    method __init__ (line 64) | def __init__(self,
    method init_mlp (line 76) | def init_mlp(self, netwidth):
    method forward (line 90) | def forward(self, data):
    method batchify_run_mlp (line 101) | def batchify_run_mlp(self, x):
    method run_mlp (line 111) | def run_mlp(self, x):

FILE: xrnerf/models/mlps/gnr_mlp.py
  class GNRMLP (line 11) | class GNRMLP(nn.Module):
    method __init__ (line 12) | def __init__(self,
    method forward (line 128) | def forward(self, x, attdirs=None, alpha_only=False, smpl_vis=None):
    method weighted_softmax (line 252) | def weighted_softmax(self, attention, weight):

FILE: xrnerf/models/mlps/hashnerf_mlp.py
  function get_per_level_scale (line 17) | def get_per_level_scale(bound):
  class HashNerfMLP (line 24) | class HashNerfMLP(BaseMLP):
    method __init__ (line 25) | def __init__(self,
    method forward (line 47) | def forward(self, data):
    method run_mlp (line 55) | def run_mlp(self, data):
    method run_mlp2 (line 81) | def run_mlp2(self, data):
    method run_density (line 107) | def run_density(self, pts_flat):

FILE: xrnerf/models/mlps/kilonerf_mlp.py
  class KiloNerfMLP (line 29) | class KiloNerfMLP(BaseMLP):
    method __init__ (line 31) | def __init__(self,
    method init_mlp (line 45) | def init_mlp(self, distilled_checkpoint):
    method get_view_dependent_parameters (line 130) | def get_view_dependent_parameters(self):
    method load_occupancy_grid (line 133) | def load_occupancy_grid(self, occupancy_checkpoint):
    method forward (line 136) | def forward(self, data):

FILE: xrnerf/models/mlps/kilonerf_multinet.py
  class KiloNerfMultiNetwork (line 26) | class KiloNerfMultiNetwork(BaseMLP):
    method __init__ (line 28) | def __init__(self,
    method init_multi_network (line 56) | def init_multi_network(self, num_networks, alpha_rgb_initalization,
    method forward (line 93) | def forward(self, data):
    method get_single_network (line 99) | def get_single_network(self, network_index):

FILE: xrnerf/models/mlps/multi_modules.py
  function _calculate_fan_in_and_fan_out (line 13) | def _calculate_fan_in_and_fan_out(tensor):
  function _calculate_correct_fan (line 19) | def _calculate_correct_fan(tensor, mode):
  function calculate_gain (line 30) | def calculate_gain(nonlinearity, param=None):
  function kaiming_uniform_ (line 56) | def kaiming_uniform_(tensor, a=0, mode='fan_in', nonlinearity='leaky_rel...
  function kaiming_normal_ (line 66) | def kaiming_normal_(tensor, a=0, mode='fan_in', nonlinearity='leaky_relu'):
  function xavier_uniform_ (line 74) | def xavier_uniform_(tensor, gain=1.):
  function xavier_normal_ (line 83) | def xavier_normal_(tensor, gain=1.):
  class Sine (line 90) | class Sine(nn.Module):
    method __init__ (line 91) | def __init__(self, w0=1.):
    method forward (line 95) | def forward(self, x):
  class SharedLinear (line 100) | class SharedLinear(nn.Module):
    method __init__ (line 103) | def __init__(self,
    method reset_parameters (line 123) | def reset_parameters(self):
    method forward (line 149) | def forward(self, input, batch_size_per_network=None):
  function naive_multimatmul (line 160) | def naive_multimatmul(biases, input_vectors, weights, out_features,
  function naive_multimatmul_differentiable (line 179) | def naive_multimatmul_differentiable(biases, input_vectors, weights,
  class AddMultiMatMul (line 198) | class AddMultiMatMul(torch.autograd.Function):
    method forward (line 200) | def forward(ctx, biases, input_vectors, weights, out_features, in_feat...
    method backward (line 215) | def backward(ctx, grad_output):
  class MultiNetworkLinear (line 238) | class MultiNetworkLinear(nn.Module):
    method __init__ (line 241) | def __init__(self,
    method reset_parameters (line 282) | def reset_parameters(self):
    method forward (line 342) | def forward(self, x, batch_size_per_network=None, bias=None, weight=No...
  function extract_linears (line 395) | def extract_linears(network):
  class MultiNetwork (line 405) | class MultiNetwork(nn.Module):
    method __init__ (line 406) | def __init__(self,
    method serialize_params (line 567) | def serialize_params(self):
    method forward (line 590) | def forward(self, x, batch_size_per_network=None, random_directions=No...
    method extract_single_network (line 672) | def extract_single_network(self, network_index):

FILE: xrnerf/models/mlps/nb_mlp.py
  class NB_NeRFMLP (line 11) | class NB_NeRFMLP(nn.Module):
    method __init__ (line 12) | def __init__(self, num_frame, embedder):
    method forward (line 31) | def forward(self, xyzc_features, datas):

FILE: xrnerf/models/mlps/nerf_mlp.py
  class NerfMLP (line 12) | class NerfMLP(BaseMLP):
    method __init__ (line 13) | def __init__(self,
    method init_mlp (line 29) | def init_mlp(self, output_ch, netdepth, netwidth):
    method forward (line 51) | def forward(self, data):
    method batchify_run_mlp (line 60) | def batchify_run_mlp(self, x):
    method run_mlp (line 70) | def run_mlp(self, x):

FILE: xrnerf/models/networks/aninerf.py
  class AniNeRFNetwork (line 16) | class AniNeRFNetwork(NeuralBodyNetwork):
    method __init__ (line 17) | def __init__(self, cfg, render=None):
    method get_params (line 31) | def get_params(self):
    method forward (line 46) | def forward(self, datas, is_test=False):
    method train_pose_stage (line 61) | def train_pose_stage(self, datas):
    method train_step (line 80) | def train_step(self, datas, optimizer, **kwargs):

FILE: xrnerf/models/networks/base.py
  class BaseNerfNetwork (line 10) | class BaseNerfNetwork(nn.Module, metaclass=ABCMeta):
    method __init__ (line 28) | def __init__(self, **kwarg):
    method train_step (line 32) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 36) | def val_step(self, data, **kwargs):

FILE: xrnerf/models/networks/bungeenerf.py
  class BungeeNerfNetwork (line 16) | class BungeeNerfNetwork(BaseNerfNetwork):
    method __init__ (line 23) | def __init__(self, cfg, mlp=None, render=None):
    method forward (line 38) | def forward(self, data, is_test=False):
    method batchify_forward (line 51) | def batchify_forward(self, data, is_test=False):
    method train_step (line 72) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 98) | def val_step(self, data, optimizer=None, **kwargs):
    method test_step (line 148) | def test_step(self, data, **kwargs):
    method set_val_pipeline (line 175) | def set_val_pipeline(self, func):

FILE: xrnerf/models/networks/gnr.py
  class GnrNetwork (line 17) | class GnrNetwork(NerfNetwork):
    method __init__ (line 18) | def __init__(self, cfg):
    method image_rescale (line 49) | def image_rescale(self, images, masks):
    method get_image_feature (line 55) | def get_image_feature(self, data):
    method forward (line 66) | def forward(self, data, is_test=False):
    method render_path (line 71) | def render_path(self, data):
    method reconstruct (line 79) | def reconstruct(self, data):
    method train_step (line 86) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 93) | def val_step(self, data, optimizer=None, **kwargs):
    method cal_metrics (line 122) | def cal_metrics(self, metrics, rgbs, gts):
    method prepare_data (line 133) | def prepare_data(self, opt, data, local_rank=0):
    method to8b (line 180) | def to8b(self, img):

FILE: xrnerf/models/networks/hashnerf.py
  class HashNerfNetwork (line 17) | class HashNerfNetwork(NerfNetwork):
    method __init__ (line 18) | def __init__(self, cfg, sampler=None, mlp=None, render=None):
    method forward (line 24) | def forward(self, data, is_test=False):
    method train_step (line 32) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 54) | def val_step(self, data, optimizer=None, **kwargs):
    method test_step (line 95) | def test_step(self, data, **kwargs):

FILE: xrnerf/models/networks/kilonerf.py
  class KiloNerfNetwork (line 19) | class KiloNerfNetwork(NerfNetwork):
    method __init__ (line 22) | def __init__(self, cfg, mlp=None, mlp_fine=None, render=None):
    method train_step (line 28) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 61) | def val_step(self, data, optimizer=None, **kwargs):
    method test_step (line 117) | def test_step(self, data, **kwargs):

FILE: xrnerf/models/networks/mipnerf.py
  class MipNerfNetwork (line 15) | class MipNerfNetwork(NerfNetwork):
    method __init__ (line 16) | def __init__(self, cfg, mlp=None, render=None):
    method forward (line 25) | def forward(self, data, is_test):
    method train_step (line 42) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 76) | def val_step(self, data, optimizer=None, **kwargs):
    method evaluate_once (line 100) | def evaluate_once(self, data, **kwargs):

FILE: xrnerf/models/networks/nerf.py
  class NerfNetwork (line 16) | class NerfNetwork(BaseNerfNetwork):
    method __init__ (line 23) | def __init__(self, cfg, mlp=None, mlp_fine=None, render=None):
    method forward (line 39) | def forward(self, data, is_test=False):
    method batchify_forward (line 50) | def batchify_forward(self, data, is_test=False):
    method train_step (line 71) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 94) | def val_step(self, data, optimizer=None, **kwargs):
    method test_step (line 144) | def test_step(self, data, **kwargs):
    method set_val_pipeline (line 171) | def set_val_pipeline(self, func):

FILE: xrnerf/models/networks/neuralbody.py
  class NeuralBodyNetwork (line 15) | class NeuralBodyNetwork(NerfNetwork):
    method __init__ (line 16) | def __init__(self, cfg, embedder=None, render=None):
    method forward (line 29) | def forward(self, datas, is_test=False):
    method val_step (line 39) | def val_step(self, datas, *args, **kwargs):

FILE: xrnerf/models/networks/student_nerf.py
  class StudentNerfNetwork (line 18) | class StudentNerfNetwork(BaseNerfNetwork):
    method __init__ (line 21) | def __init__(self,
    method get_params (line 45) | def get_params(self):
    method teacher_forward (line 49) | def teacher_forward(self, data):
    method teacher_batchify_forward (line 54) | def teacher_batchify_forward(self, data):
    method forward (line 75) | def forward(self, data):
    method batchify_forward (line 79) | def batchify_forward(self, data):
    method train_step (line 104) | def train_step(self, data, optimizer, **kwargs):
    method val_step (line 126) | def val_step(self, data, **kwargs):

FILE: xrnerf/models/networks/utils/aninerf.py
  function sample_closest_points (line 11) | def sample_closest_points(src: torch.Tensor, ref: torch.Tensor,
  function world_points_to_pose_points (line 22) | def world_points_to_pose_points(wpts, Rh, Th):
  function world_dirs_to_pose_dirs (line 32) | def world_dirs_to_pose_dirs(wdirs, Rh):
  function pose_points_to_tpose_points (line 41) | def pose_points_to_tpose_points(ppts, bw, A):
  function pose_dirs_to_tpose_dirs (line 57) | def pose_dirs_to_tpose_dirs(ddirs, bw, A):
  function tpose_points_to_pose_points (line 72) | def tpose_points_to_pose_points(pts, bw, A):
  function tpose_dirs_to_pose_dirs (line 88) | def tpose_dirs_to_pose_dirs(ddirs, bw, A):
  class NovelPoseTraining (line 103) | class NovelPoseTraining:
    method get_sampling_points (line 105) | def get_sampling_points(bounds):
    method wpts_to_ppts (line 119) | def wpts_to_ppts(pts, datas):
    method ppts_to_tpose (line 129) | def ppts_to_tpose(net, pose_pts, datas, canonical_bounds):
    method tpose_to_ppts (line 179) | def tpose_to_ppts(net, tpose, datas):
    method calculate_bounds (line 222) | def calculate_bounds(points):
    method calculate_loss (line 231) | def calculate_loss(net, datas):

FILE: xrnerf/models/networks/utils/batching.py
  function unfold_batching (line 5) | def unfold_batching(data):

FILE: xrnerf/models/networks/utils/gnr.py
  function index (line 10) | def index(feat, uv, mode='bilinear'):
  function init_weights (line 27) | def init_weights(net, init_type='normal', init_gain=0.02):
  class LPIPS (line 66) | class LPIPS(torch.nn.Module):
    method __init__ (line 67) | def __init__(self):
    method forward (line 71) | def forward(self, x, gt):
  function psnr (line 86) | def psnr(x, gt):
  function gaussian (line 105) | def gaussian(window_size, sigma):
  function create_window (line 113) | def create_window(window_size, channel=1):
  function ssim_ (line 122) | def ssim_(img1,
  class SSIM (line 187) | class SSIM(torch.nn.Module):
    method __init__ (line 188) | def __init__(self, window_size=11, size_average=True, val_range=None):
    method forward (line 198) | def forward(self, img1, img2):
  function rot2euler (line 219) | def rot2euler(R):
  function euler2rot (line 226) | def euler2rot(euler):
  function batch_rodrigues (line 239) | def batch_rodrigues(theta):
  function quat_to_rotmat (line 257) | def quat_to_rotmat(quat):
  function index (line 286) | def index(feat, uv, mode='bilinear'):
  function orthogonal (line 305) | def orthogonal(points, calibrations, transforms=None):
  function perspective (line 324) | def perspective(points, w2c, camera):

FILE: xrnerf/models/networks/utils/hierarchical_sample.py
  function sample_pdf (line 6) | def sample_pdf(data, N_samples, is_perturb=False, is_test=False):

FILE: xrnerf/models/networks/utils/metrics.py
  function HuberLoss (line 8) | def HuberLoss(x, y, delta=0.1, reduction='sum'):

FILE: xrnerf/models/networks/utils/mip.py
  function sorted_piecewise_constant_pdf (line 7) | def sorted_piecewise_constant_pdf(bins, weights, num_samples, randomized):
  function lift_gaussian (line 66) | def lift_gaussian(d, t_mean, t_var, r_var, diag):
  function conical_frustum_to_gaussian (line 91) | def conical_frustum_to_gaussian(d, t0, t1, base_radius, diag, stable=True):
  function cylinder_to_gaussian (line 109) | def cylinder_to_gaussian(d, t0, t1, radius, diag):
  function cast_rays (line 117) | def cast_rays(z_vals, origins, directions, radii, ray_shape, diag=True):
  function sample_along_rays (line 132) | def sample_along_rays(data, ray_shape):
  function resample_along_rays (line 146) | def resample_along_rays(data, randomized, ray_shape, resample_padding):

FILE: xrnerf/models/networks/utils/transforms.py
  function recover_shape (line 5) | def recover_shape(data, to_shape):
  function nb_recover_shape (line 12) | def nb_recover_shape(data, to_shape, mask):
  function merge_ret (line 24) | def merge_ret(ret, fine_ret):
  function convert_to_local_coords_multi (line 35) | def convert_to_local_coords_multi(points, domain_mins, domain_maxs):
  function transform_examples (line 47) | def transform_examples(data):
  function reorder_points_and_dirs (line 57) | def reorder_points_and_dirs(data, fixed_res, res, occupancy_grid,

FILE: xrnerf/models/renders/base.py
  class BaseRender (line 10) | class BaseRender(nn.Module, metaclass=ABCMeta):
    method __init__ (line 21) | def __init__(self, **kwargs):
    method forward (line 26) | def forward(self):

FILE: xrnerf/models/renders/bungeenerf_render.py
  class BungeeNerfRender (line 11) | class BungeeNerfRender(BaseRender):
    method __init__ (line 12) | def __init__(self,
    method get_disp_map (line 34) | def get_disp_map(self, weights, z_vals):
    method get_weights (line 40) | def get_weights(self, density_delta):
    method forward (line 49) | def forward(self, data, is_test=False):

FILE: xrnerf/models/renders/gnr_render.py
  class GnrRenderer (line 31) | class GnrRenderer:
    method __init__ (line 32) | def __init__(self,
    method cal_loss (line 96) | def cal_loss(self, rgb, rgb_gt):
    method get_rays_orthogonal (line 118) | def get_rays_orthogonal(self, bbox, calib):
    method get_rays_perspective (line 145) | def get_rays_perspective(self, bbox, w2c, cam):
    method make_att_input (line 189) | def make_att_input(self, pts, viewdirs, calibs, smpl):
    method make_nerf_input (line 224) | def make_nerf_input(self,
    method make_nerf_output (line 311) | def make_nerf_output(self,
    method render_rays (line 359) | def render_rays(self,
    method inside_pts_vh (line 489) | def inside_pts_vh(self, pts, masks, smpl, calibs, persps=None):
    method render (line 528) | def render(self,
    method render_path (line 586) | def render_path(self,
    method reconstruct (line 643) | def reconstruct(self,
    method octree_reconstruct (line 727) | def octree_reconstruct(self, coords, masks, **kwargs):

FILE: xrnerf/models/renders/hashnerf_render.py
  class HashNerfRender (line 17) | class HashNerfRender(BaseRender):
    method __init__ (line 18) | def __init__(self, bg_color=None, **kwarg):
    method forward (line 22) | def forward(self, data, sampler, is_test=False):
  class _calc_rgb_bp (line 60) | class _calc_rgb_bp(Function):
    method forward (line 62) | def forward(ctx, network_output, coords_in, rays_numsteps,
    method backward (line 114) | def backward(ctx, grad_rgb_output):
  class _calc_rgb_nobp (line 149) | class _calc_rgb_nobp(Function):
    method forward (line 151) | def forward(ctx, network_output, coords_in, rays_numsteps, bg_color_cpu,

FILE: xrnerf/models/renders/kilonerf_simple_render.py
  class KiloNerfSimpleRender (line 11) | class KiloNerfSimpleRender(NerfRender):
    method __init__ (line 12) | def __init__(self,
    method process_density (line 30) | def process_density(self, raw_output):
    method forward (line 49) | def forward(self, data):

FILE: xrnerf/models/renders/mipnerf_render.py
  class MipNerfRender (line 12) | class MipNerfRender(NerfRender):
    method get_disp_map (line 13) | def get_disp_map(self, weights, z_vals):
    method get_weights (line 26) | def get_weights(self, density_delta):

FILE: xrnerf/models/renders/nerf_render.py
  class NerfRender (line 11) | class NerfRender(BaseRender):
    method __init__ (line 12) | def __init__(self,
    method get_disp_map (line 32) | def get_disp_map(self, weights, z_vals):
    method get_weights (line 38) | def get_weights(self, density_delta):
    method forward (line 47) | def forward(self, data, is_test=False):

FILE: xrnerf/models/samplers/ngp_grid_sampler.py
  class NGPGridSampler (line 12) | class NGPGridSampler(nn.Module):
    method __init__ (line 14) | def __init__(
    method set_data (line 75) | def set_data(self, alldata, datainfo):
    method set_iter (line 87) | def set_iter(self, iter_n):
    method update_density_grid_func (line 90) | def update_density_grid_func(self, n_uniform_density_grid_samples,
    method update_density_grid (line 168) | def update_density_grid(self, mlp):
    method check_device (line 176) | def check_device(self, data):
    method sample (line 189) | def sample(self, data, mlp, is_test=False):
    method update_batch_rays (line 268) | def update_batch_rays(self, is_training):
    method div_round_up (line 283) | def div_round_up(self, val, divisor):

FILE: xrnerf/models/samplers/utils/compacted_coords.py
  class _compacted_coords (line 13) | class _compacted_coords(Function):
    method forward (line 15) | def forward(ctx, network_output, coords_in, rays_numsteps,

FILE: xrnerf/models/samplers/utils/ema_grid_samples_nerf.py
  class _ema_grid_samples_nerf (line 13) | class _ema_grid_samples_nerf(Function):
    method forward (line 15) | def forward(ctx, density_grid_tmp, density_grid, n_elements, decay):

FILE: xrnerf/models/samplers/utils/generate_grid_samples_nerf_nonuniform.py
  class _generate_grid_samples_nerf_nonuniform (line 13) | class _generate_grid_samples_nerf_nonuniform(Function):
    method forward (line 15) | def forward(ctx, density_grid, n_elements, density_grid_ema_step,

FILE: xrnerf/models/samplers/utils/mark_untrained_density_grid.py
  class _mark_untrained_density_grid (line 13) | class _mark_untrained_density_grid(Function):
    method forward (line 15) | def forward(ctx, focal_lengths, transforms, n_elements, n_img, resolut...

FILE: xrnerf/models/samplers/utils/rays_sampler.py
  class _rays_sampler (line 13) | class _rays_sampler(Function):
    method forward (line 15) | def forward(ctx, rays_o, rays_d, imgs_id, density_grid_bitfield, metad...

FILE: xrnerf/models/samplers/utils/splat_grid_samples_nerf_max_nearest_neighbor.py
  class _splat_grid_samples_nerf_max_nearest_neighbor (line 13) | class _splat_grid_samples_nerf_max_nearest_neighbor(Function):
    method forward (line 15) | def forward(ctx, density_out, density_grid_indices, padded_output_width,

FILE: xrnerf/models/samplers/utils/update_bitfield.py
  class _update_bitfield (line 13) | class _update_bitfield(Function):
    method forward (line 15) | def forward(ctx, density_grid, density_grid_mean, density_grid_bitfield,

FILE: xrnerf/utils/data_helper.py
  class Node (line 7) | class Node:
    method __init__ (line 9) | def __init__(self):
  function calculate_volume (line 13) | def calculate_volume(domain_min, domain_max):
  function load_matrix (line 24) | def load_matrix(path):
  function get_global_domain_min_and_max (line 35) | def get_global_domain_min_and_max(cfg, device=None):

FILE: xrnerf/utils/logger.py
  function get_root_logger (line 8) | def get_root_logger(log_file=None, log_level=logging.INFO):