[
{
"path": ".clang-format",
"content": "---\nLanguage: Cpp\n# BasedOnStyle: LLVM\nAccessModifierOffset: -2\nAlignAfterOpenBracket: BlockIndent\nAlignArrayOfStructures: None\nAlignConsecutiveAssignments:\n Enabled: false\n AcrossEmptyLines: false\n AcrossComments: false\n AlignCompound: false\n PadOperators: true\nAlignConsecutiveBitFields:\n Enabled: false\n AcrossEmptyLines: false\n AcrossComments: false\n AlignCompound: false\n PadOperators: false\nAlignConsecutiveDeclarations:\n Enabled: false\n AcrossEmptyLines: false\n AcrossComments: false\n AlignCompound: false\n PadOperators: false\nAlignConsecutiveMacros:\n Enabled: false\n AcrossEmptyLines: false\n AcrossComments: false\n AlignCompound: false\n PadOperators: false\nAlignEscapedNewlines: Right\nAlignOperands: Align\nAlignTrailingComments:\n Kind: Always\n OverEmptyLines: 0\nAllowAllArgumentsOnNextLine: true\nAllowAllParametersOfDeclarationOnNextLine: true\nAllowShortBlocksOnASingleLine: Never\nAllowShortCaseLabelsOnASingleLine: false\nAllowShortEnumsOnASingleLine: true\nAllowShortFunctionsOnASingleLine: None\nAllowShortIfStatementsOnASingleLine: Never\nAllowShortLambdasOnASingleLine: All\nAllowShortLoopsOnASingleLine: false\nAlwaysBreakAfterDefinitionReturnType: None\nAlwaysBreakAfterReturnType: None\nAlwaysBreakBeforeMultilineStrings: false\nAlwaysBreakTemplateDeclarations: MultiLine\nAttributeMacros:\n - __capability\nBinPackArguments: true\nBinPackParameters: true\nBitFieldColonSpacing: Both\nBraceWrapping:\n AfterCaseLabel: false\n AfterClass: false\n AfterControlStatement: Never\n AfterEnum: false\n AfterExternBlock: false\n AfterFunction: false\n AfterNamespace: false\n AfterObjCDeclaration: false\n AfterStruct: false\n AfterUnion: false\n BeforeCatch: false\n BeforeElse: false\n BeforeLambdaBody: false\n BeforeWhile: false\n IndentBraces: false\n SplitEmptyFunction: true\n SplitEmptyRecord: true\n SplitEmptyNamespace: true\nBreakAfterAttributes: Never\nBreakAfterJavaFieldAnnotations: false\nBreakArrays: true\nBreakBeforeBinaryOperators: None\nBreakBeforeConceptDeclarations: Always\nBreakBeforeBraces: Attach\nBreakBeforeInlineASMColon: OnlyMultiline\nBreakBeforeTernaryOperators: true\nBreakConstructorInitializers: BeforeColon\nBreakInheritanceList: BeforeColon\nBreakStringLiterals: true\nColumnLimit: 120\nCommentPragmas: '^ IWYU pragma:'\nCompactNamespaces: false\nConstructorInitializerIndentWidth: 4\nContinuationIndentWidth: 4\nCpp11BracedListStyle: true\nDerivePointerAlignment: false\nDisableFormat: false\nEmptyLineAfterAccessModifier: Never\nEmptyLineBeforeAccessModifier: LogicalBlock\nExperimentalAutoDetectBinPacking: false\nFixNamespaceComments: true\nForEachMacros:\n - foreach\n - Q_FOREACH\n - BOOST_FOREACH\nIfMacros:\n - KJ_IF_MAYBE\nIncludeBlocks: Preserve\nIncludeCategories:\n - Regex: '^\"(llvm|llvm-c|clang|clang-c)/'\n Priority: 2\n SortPriority: 0\n CaseSensitive: false\n - Regex: '^(<|\"(gtest|gmock|isl|json)/)'\n Priority: 3\n SortPriority: 0\n CaseSensitive: false\n - Regex: '.*'\n Priority: 1\n SortPriority: 0\n CaseSensitive: false\nIncludeIsMainRegex: '(Test)?$'\nIncludeIsMainSourceRegex: ''\nIndentAccessModifiers: false\nIndentCaseBlocks: false\nIndentCaseLabels: false\nIndentExternBlock: AfterExternBlock\nIndentGotoLabels: true\nIndentPPDirectives: None\nIndentRequiresClause: true\nIndentWidth: 4\nIndentWrappedFunctionNames: false\nInsertBraces: false\nInsertNewlineAtEOF: true\nInsertTrailingCommas: None\nIntegerLiteralSeparator:\n Binary: 0\n BinaryMinDigits: 0\n Decimal: 0\n DecimalMinDigits: 0\n Hex: 0\n HexMinDigits: 0\nJavaScriptQuotes: Leave\nJavaScriptWrapImports: true\nKeepEmptyLinesAtTheStartOfBlocks: true\nLambdaBodyIndentation: Signature\nLineEnding: DeriveLF\nMacroBlockBegin: ''\nMacroBlockEnd: ''\nMaxEmptyLinesToKeep: 1\nNamespaceIndentation: All\nObjCBinPackProtocolList: Auto\nObjCBlockIndentWidth: 2\nObjCBreakBeforeNestedBlockParam: true\nObjCSpaceAfterProperty: false\nObjCSpaceBeforeProtocolList: true\nPackConstructorInitializers: BinPack\nPenaltyBreakAssignment: 2\nPenaltyBreakBeforeFirstCallParameter: 19\nPenaltyBreakComment: 300\nPenaltyBreakFirstLessLess: 120\nPenaltyBreakOpenParenthesis: 0\nPenaltyBreakString: 1000\nPenaltyBreakTemplateDeclaration: 10\nPenaltyExcessCharacter: 1000000\nPenaltyIndentedWhitespace: 0\nPenaltyReturnTypeOnItsOwnLine: 60\nPointerAlignment: Right\nPPIndentWidth: -1\nQualifierAlignment: Leave\nReferenceAlignment: Pointer\nReflowComments: true\nRemoveBracesLLVM: false\nRemoveSemicolon: false\nRequiresClausePosition: OwnLine\nRequiresExpressionIndentation: OuterScope\nSeparateDefinitionBlocks: Always\nShortNamespaceLines: 1\nSortIncludes: CaseSensitive\nSortJavaStaticImport: Before\nSortUsingDeclarations: LexicographicNumeric\nSpaceAfterCStyleCast: false\nSpaceAfterLogicalNot: false\nSpaceAfterTemplateKeyword: true\nSpaceAroundPointerQualifiers: Default\nSpaceBeforeAssignmentOperators: true\nSpaceBeforeCaseColon: false\nSpaceBeforeCpp11BracedList: false\nSpaceBeforeCtorInitializerColon: true\nSpaceBeforeInheritanceColon: true\nSpaceBeforeParens: ControlStatements\nSpaceBeforeParensOptions:\n AfterControlStatements: true\n AfterForeachMacros: true\n AfterFunctionDefinitionName: false\n AfterFunctionDeclarationName: false\n AfterIfMacros: true\n AfterOverloadedOperator: false\n AfterRequiresInClause: false\n AfterRequiresInExpression: false\n BeforeNonEmptyParentheses: false\nSpaceBeforeRangeBasedForLoopColon: true\nSpaceBeforeSquareBrackets: false\nSpaceInEmptyBlock: false\nSpaceInEmptyParentheses: false\nSpacesBeforeTrailingComments: 1\nSpacesInAngles: Never\nSpacesInConditionalStatement: false\nSpacesInContainerLiterals: true\nSpacesInCStyleCastParentheses: false\nSpacesInLineCommentPrefix:\n Minimum: 1\n Maximum: -1\nSpacesInParentheses: false\nSpacesInSquareBrackets: false\nStandard: Latest\nStatementAttributeLikeMacros:\n - Q_EMIT\nStatementMacros:\n - Q_UNUSED\n - QT_REQUIRE_VERSION\nTabWidth: 4\nUseTab: Always\nWhitespaceSensitiveMacros:\n - BOOST_PP_STRINGIZE\n - CF_SWIFT_NAME\n - NS_SWIFT_NAME\n - PP_STRINGIZE\n - STRINGIZE\n...\n\n"
},
{
"path": ".github/actions/download-onnxruntime-linux.sh",
"content": "#!/usr/bin/env bash\n\ncd \"$(dirname \"$0\")\" || exit\n\necho\necho \"Select onnxruntime version to download:\"\nAUTH_HEADER=\"\"\nif [ -n \"$GITHUB_TOKEN\" ]; then\n AUTH_HEADER=\"-H \\\"Authorization: Bearer $GITHUB_TOKEN\\\"\"\nfi\n\nRAW_LIST=$(eval curl -s -H \"Accept: application/vnd.github+json\" \\\n -H \"X-GitHub-Api-Version: 2022-11-28\" \\\n $AUTH_HEADER \\\n https://api.github.com/repos/microsoft/onnxruntime/releases/latest \\\n | grep browser_download_url \\\n | grep -E \"onnxruntime-linux-x64-([.0-9]+)tgz\" \\\n | awk '{print $2}' \\\n | tr -d '\"')\n\nitem=${RAW_LIST[0]}\n\nFILENAME=$(basename \"$item\")\n\necho\necho \"Downloading $item\"\necho\n\nwget -q \"$item\"\n\nsudo mkdir -p /usr/local/onnxruntime\nsudo tar vzxf \"$FILENAME\" -C /usr/local/onnxruntime --strip-components=1\nsudo sh -c 'echo \"/usr/local/onnxruntime/lib\" > /etc/ld.so.conf.d/onnxruntime.conf'\nsudo ldconfig\n\nrm -f \"$FILENAME\"\n\necho\necho \"Done\"\necho\n"
},
{
"path": ".github/actions/download-onnxruntime-osx.sh",
"content": "#!/usr/bin/env bash\n\ncd \"$(dirname \"$0\")\" || exit\n\necho\necho \"Select onnxruntime version to download:\"\nAUTH_HEADER=\"\"\nif [ -n \"$GITHUB_TOKEN\" ]; then\n AUTH_HEADER=\"-H \\\"Authorization: Bearer $GITHUB_TOKEN\\\"\"\nfi\n\nRAW_LIST=$(eval curl -s -H \"Accept: application/vnd.github+json\" \\\n -H \"X-GitHub-Api-Version: 2022-11-28\" \\\n $AUTH_HEADER \\\n https://api.github.com/repos/microsoft/onnxruntime/releases/latest \\\n | grep browser_download_url \\\n | grep -E \"onnxruntime-osx-arm64-([.0-9]+)tgz\" \\\n | awk '{print $2}' \\\n | tr -d '\"')\n\nitem=${RAW_LIST[0]}\n\n# check item is not empty\nif [ -z \"$item\" ]; then\n echo \"Error: Could not find onnxruntime download link.\"\n exit 1\nfi\n\nFILENAME=$(basename \"$item\")\n\necho\necho \"Downloading $item\"\necho\n\nwget -q \"$item\"\n\nsudo mkdir -p /usr/local/onnxruntime\nsudo tar vzxf \"$FILENAME\" -C /usr/local/onnxruntime --strip-components=2\n\nrm -f \"$FILENAME\"\n\necho\necho \"Done\"\necho\n\nexit 0\n"
},
{
"path": ".github/actions/download-onnxruntime-windows.sh",
"content": "#!/usr/bin/env bash\n\ncd \"$(dirname \"$0\")\" || exit\n\necho\necho \"Select onnxruntime version to download:\"\nRAW_LIST=$(curl -s -H \"Accept: application/vnd.github+json\" \\\n -H \"X-GitHub-Api-Version: 2022-11-28\" \\\n https://api.github.com/repos/microsoft/onnxruntime/releases/latest \\\n | grep browser_download_url \\\n | grep -E \"onnxruntime-win-x64-([.0-9]+)zip\" \\\n | awk '{print $2}' \\\n | tr -d '\"')\n\nitem=${RAW_LIST[0]}\n\nFILENAME=$(basename \"$item\")\nDIRNAME=\"${FILENAME%.zip}\"\n\necho\necho \"Downloading $item\"\necho\n\ncurl -q --output \"$FILENAME\" -L \"$item\"\n\nunzip \"$FILENAME\"\nmv ${DIRNAME} C:/msys64/usr/local/onnxruntime\nls -al C:/msys64/usr/local/onnxruntime\n\nrm -f \"$FILENAME\"\n\necho\necho \"Done\"\necho\n"
},
{
"path": ".github/cache/dependencies-apt/.gitkeep",
"content": ""
},
{
"path": ".github/dependabot.yml",
"content": "# To get started with Dependabot version updates, you'll need to specify which\n# package ecosystems to update and where the package manifests are located.\n# Please see the documentation for all configuration options:\n# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file\n\nversion: 2\nupdates:\n - package-ecosystem: \"cmake\" # See documentation for possible values\n directory: \"/\" # Location of package manifests\n schedule:\n interval: \"weekly\"\n"
},
{
"path": ".github/workflows/cmake-linux.yml",
"content": "# See: https://github.com/actions/starter-workflows/blob/main/ci/cmake-single-platform.yml\nname: CMake on Linux\npermissions:\n contents: read\n pull-requests: write\n\non:\n push:\n branches: [ \"*\" ]\n pull_request:\n branches: [ \"*\" ]\n\njobs:\n prepare-asset:\n if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}\n runs-on: ubuntu-latest\n\n steps:\n - uses: actions/checkout@v6\n with:\n lfs: false\n\n - name: (Cache) Restore test fixtures\n id: cache-test-fixtures\n uses: actions/cache/restore@v5\n with:\n path: test/fixture\n key: test-fixtures-v1\n lookup-only: true\n\n - name: Download assets(models)\n if: steps.cache-test-fixtures.outputs.cache-hit != 'true'\n shell: bash\n run: |\n ./test/fixture/download-test-fixtures.sh\n\n - name: (Cache) Save test fixtures\n if: steps.cache-test-fixtures.outputs.cache-hit != 'true'\n uses: actions/cache/save@v5\n with:\n path: test/fixture\n key: test-fixtures-v1\n\n prepare-apt:\n if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}\n runs-on: ${{ matrix.os }}\n\n strategy:\n fail-fast: false\n matrix:\n os: [ ubuntu-22.04, ubuntu-24.04 ]\n build_type: [ Debug ]\n\n steps:\n - uses: actions/checkout@v6\n with:\n lfs: false\n\n - name: (Cache) Restore dependencies(apt)\n id: cache-dependencies-apt\n uses: actions/cache/restore@v5\n with:\n path: .github/cache/dependencies-apt\n key: ${{ matrix.os }}-dependencies-apt-v1\n lookup-only: true\n\n - name: Prepare container(apt download)\n shell: bash\n if: steps.cache-dependencies-apt.outputs.cache-hit != 'true' && (startsWith(matrix.os, 'debian-') || startsWith(matrix.os, 'ubuntu-'))\n run: |\n cat /etc/os-release\n sudo apt-get update -qq\n sudo apt-get install -yq --download-only build-essential clang cmake libboost-all-dev libssl-dev libgtest-dev\n cp /var/cache/apt/archives/*.deb .github/cache/dependencies-apt/\n\n - name: (Cache) Save dependencies(apt)\n if: steps.cache-dependencies-apt.outputs.cache-hit != 'true' && (startsWith(matrix.os, 'debian-') || startsWith(matrix.os, 'ubuntu-'))\n uses: actions/cache/save@v5\n with:\n path: .github/cache/dependencies-apt\n key: ${{ matrix.os }}-dependencies-apt-v1\n\n build:\n runs-on: ${{ matrix.os }}\n needs: [ \"prepare-asset\", \"prepare-apt\" ]\n\n strategy:\n fail-fast: false\n matrix:\n os: [ ubuntu-22.04, ubuntu-24.04 ]\n c_compiler: [ gcc, clang ]\n build_type: [ Debug ]\n include:\n - c_compiler: gcc\n cpp_compiler: g++\n - c_compiler: clang\n cpp_compiler: clang++\n\n steps:\n - uses: actions/checkout@v6\n with:\n lfs: false\n\n - name: (Cache) Restore dependencies(apt)\n id: cache-dependencies-apt\n uses: actions/cache/restore@v5\n with:\n path: .github/cache/dependencies-apt\n key: ${{ matrix.os }}-dependencies-apt-v1\n fail-on-cache-miss: true\n\n - name: Prepare container(apt)\n shell: bash\n if: startsWith(matrix.os, 'debian-') || startsWith(matrix.os, 'ubuntu-')\n run: |\n cat /etc/os-release\n sudo dpkg -i .github/cache/dependencies-apt/*.deb\n\n - name: Prepare container(onnxruntime)\n shell: bash\n run: |\n ./.github/actions/download-onnxruntime-linux.sh\n\n - name: Set reusable strings\n # Turn repeated input strings (such as the build output directory) into step outputs. These step outputs can be used throughout the workflow file.\n id: strings\n shell: bash\n run: |\n echo \"build-output-dir=${{ github.workspace }}/build\" >> \"$GITHUB_OUTPUT\"\n\n - name: Configure CMake\n # Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.\n # See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type\n run: >\n cmake -B ${{ steps.strings.outputs.build-output-dir }}\n -DCMAKE_CXX_COMPILER=${{ matrix.cpp_compiler }}\n -DCMAKE_C_COMPILER=${{ matrix.c_compiler }}\n -DCMAKE_BUILD_TYPE=${{ matrix.build_type }}\n -S ${{ github.workspace }}\n\n - name: Build\n # Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).\n run: cmake --build ${{ steps.strings.outputs.build-output-dir }} --config ${{ matrix.build_type }} --parallel 4\n\n - name: (Cache) Restore test fixtures\n uses: actions/cache/restore@v5\n with:\n path: test/fixture\n key: test-fixtures-v1\n fail-on-cache-miss: true\n\n - name: Test\n working-directory: ${{ steps.strings.outputs.build-output-dir }}\n # Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).\n # See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail\n run: ctest --extra-verbose --build-config ${{ matrix.build_type }}\n"
},
{
"path": ".github/workflows/cmake-macos.yml",
"content": "# See: https://github.com/actions/starter-workflows/blob/main/ci/cmake-single-platform.yml\nname: CMake on MacOS\npermissions:\n contents: read\n pull-requests: write\n\non:\n push:\n branches: [ \"*\" ]\n pull_request:\n branches: [ \"*\" ]\n\njobs:\n build:\n if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}\n runs-on: ${{ matrix.os }}\n\n strategy:\n fail-fast: false\n\n matrix:\n os: [ macos-latest ]\n build_type: [ Debug ]\n c_compiler: [ clang ]\n include:\n - c_compiler: clang\n cpp_compiler: clang++\n\n steps:\n - uses: actions/checkout@v6\n with:\n lfs: false\n\n - name: Prepare container(homebrew)\n shell: bash\n run: |\n brew update\n HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 HOMEBREW_NO_AUTO_UPDATE=1 brew install cmake boost openssl googletest\n ./.github/actions/download-onnxruntime-osx.sh || HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 HOMEBREW_NO_AUTO_UPDATE=1 brew install onnxruntime\n\n - name: Set reusable strings\n # Turn repeated input strings (such as the build output directory) into step outputs. These step outputs can be used throughout the workflow file.\n id: strings\n shell: bash\n run: |\n echo \"build-output-dir=${{ github.workspace }}/build\" >> \"$GITHUB_OUTPUT\"\n\n - name: Configure CMake\n # Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.\n # See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type\n run: >\n cmake -B ${{ steps.strings.outputs.build-output-dir }}\n -DCMAKE_CXX_COMPILER=${{ matrix.cpp_compiler }}\n -DCMAKE_C_COMPILER=${{ matrix.c_compiler }}\n -DCMAKE_BUILD_TYPE=${{ matrix.build_type }}\n -S ${{ github.workspace }}\n\n - name: Build\n # Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).\n run: cmake --build ${{ steps.strings.outputs.build-output-dir }} --config ${{ matrix.build_type }} --parallel 4\n\n - name: (Cache) Restore test fixtures\n uses: actions/cache/restore@v5\n with:\n path: test/fixture\n key: test-fixtures-v1\n fail-on-cache-miss: true\n\n - name: Test\n working-directory: ${{ steps.strings.outputs.build-output-dir }}\n # Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).\n # See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail\n run: ctest --extra-verbose --build-config ${{ matrix.build_type }}\n"
},
{
"path": ".github/workflows/cmake-windows.yml",
"content": "# See: https://github.com/actions/starter-workflows/blob/main/ci/cmake-single-platform.yml\nname: CMake on Windows\npermissions:\n contents: read\n pull-requests: write\n\non:\n push:\n branches: [ \"*\" ]\n pull_request:\n branches: [ \"*\" ]\n\njobs:\n prepare-asset:\n if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}\n runs-on: windows-latest\n\n steps:\n - uses: actions/checkout@v6\n with:\n lfs: false\n\n - name: (Cache) Restore test fixtures\n id: cache-test-fixtures\n uses: actions/cache/restore@v5\n with:\n path: test/fixture\n key: test-fixtures-windows-v1\n lookup-only: true\n\n - name: Download assets(models)\n if: steps.cache-test-fixtures.outputs.cache-hit != 'true'\n shell: bash\n run: |\n ./test/fixture/download-test-fixtures.sh\n\n - name: (Cache) Save test fixtures\n if: steps.cache-test-fixtures.outputs.cache-hit != 'true'\n uses: actions/cache/save@v5\n with:\n path: test/fixture\n key: test-fixtures-windows-v1\n\n prepare-vcpkg:\n if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}\n runs-on: windows-latest\n steps:\n - name: (Cache) Restore vcpkg cache\n id: cache-windows-vcpkg\n uses: actions/cache/restore@v5\n with:\n path: C:\\vcpkg\\installed\n key: windows-vcpkg-v4\n lookup-only: true\n\n - name: Install dependencies with vcpkg\n if: steps.cache-windows-vcpkg.outputs.cache-hit != 'true'\n run: |\n C:\\vcpkg\\vcpkg.exe install boost-serialization boost-system boost-filesystem boost-program-options boost-thread boost-asio boost-beast gtest\n\n - name: (Cache) Save vcpkg cache\n if: steps.cache-windows-vcpkg.outputs.cache-hit != 'true'\n uses: actions/cache/save@v5\n with:\n path: C:\\vcpkg\\installed\n key: windows-vcpkg-v4\n\n build:\n needs: [ \"prepare-asset\", \"prepare-vcpkg\" ]\n runs-on: windows-latest\n\n strategy:\n fail-fast: false\n matrix:\n build_type: [ Debug ]\n\n steps:\n - uses: actions/checkout@v6\n with:\n lfs: false\n\n - name: (Cache) Restore vcpkg cache\n id: cache-windows-vcpkg\n uses: actions/cache/restore@v5\n with:\n path: C:\\vcpkg\\installed\n key: windows-vcpkg-v4\n fail-on-cache-miss: true\n\n - name: Install dependencies with MSYS2\n run: |\n C:\\msys64\\usr\\bin\\pacman.exe -S --noconfirm mingw-w64-x86_64-pkg-config\n\n - name: Prepare container(onnxruntime)\n shell: bash\n run: |\n ./.github/actions/download-onnxruntime-windows.sh\n\n - name: Set reusable strings\n # Turn repeated input strings (such as the build output directory) into step outputs. These step outputs can be used throughout the workflow file.\n id: strings\n shell: bash\n run: |\n echo \"build-output-dir=${{ github.workspace }}/build\" >> \"$GITHUB_OUTPUT\"\n\n - name: Configure CMake\n # Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.\n # See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type\n run: >\n cmake -B ${{ steps.strings.outputs.build-output-dir }}\n -DCMAKE_BUILD_TYPE=${{ matrix.build_type }}\n -DPKG_CONFIG_EXECUTABLE:FILEPATH=C:/msys64/mingw64/bin/pkg-config.exe\n -DCMAKE_TOOLCHAIN_FILE=C:/vcpkg/scripts/buildsystems/vcpkg.cmake\n -DVCPKG_FEATURE_FLAGS=binarycaching\n -S ${{ github.workspace }}\n\n - name: Build\n # Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).\n run: cmake --build ${{ steps.strings.outputs.build-output-dir }} --config ${{ matrix.build_type }} --parallel 4\n\n - name: (Cache) Restore test fixtures\n uses: actions/cache/restore@v5\n with:\n path: test/fixture\n key: test-fixtures-windows-v1\n fail-on-cache-miss: true\n\n - name: Test\n working-directory: ${{ steps.strings.outputs.build-output-dir }}\n # Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).\n # See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail\n run: ctest --extra-verbose --build-config ${{ matrix.build_type }}\n"
},
{
"path": ".github/workflows/codeql.yml",
"content": "name: \"CodeQL\"\n\non:\n push:\n branches: [ \"main\" ]\n pull_request:\n branches: [ \"main\" ]\n schedule:\n - cron: '18 0 * * 3'\n\njobs:\n analyze:\n if: ${{ !contains(github.event.pull_request.labels.*.name, 'documentation') }}\n name: Analyze (${{ matrix.language }})\n runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}\n permissions:\n # required for all workflows\n security-events: write\n\n # required to fetch internal or private CodeQL packs\n packages: read\n\n # only required for workflows in private repositories\n actions: read\n contents: read\n\n strategy:\n fail-fast: false\n matrix:\n include:\n - language: c-cpp\n build-mode: autobuild\n steps:\n - name: Checkout repository\n uses: actions/checkout@v6\n\n - name: Prepare container(onnxruntime)\n if: runner.os == 'Linux'\n shell: bash\n run: |\n ./.github/actions/download-onnxruntime-linux.sh\n\n - name: Prepare container(onnxruntime)\n if: runner.os == 'macOS'\n shell: bash\n run: |\n HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 HOMEBREW_NO_AUTO_UPDATE=1 brew install cmake boost openssl googletest onnxruntime\n\n # Initializes the CodeQL tools for scanning.\n - name: Initialize CodeQL\n uses: github/codeql-action/init@v4\n with:\n languages: ${{ matrix.language }}\n build-mode: ${{ matrix.build-mode }}\n\n - name: Perform CodeQL Analysis\n uses: github/codeql-action/analyze@v4\n with:\n category: \"/language:${{matrix.language}}\"\n"
},
{
"path": ".gitignore",
"content": ".idea/\n.claude/\ncmake-build-debug*/\n.claude/\nCLAUDE.md\n\n*.onnx\n\nbuild/\nTesting/\nsrc/test/gen/\n\n# python\nvenv/\n__pycache__/\n*.py[cod]\n*$py.class\n\n/deploy/build-docker/out/\n"
},
{
"path": "CMakeLists.txt",
"content": "cmake_minimum_required(VERSION 3.22.0)\nproject(onnxruntime_server LANGUAGES CXX)\n\nset(CMAKE_CXX_STANDARD 17)\n\nadd_subdirectory(src)\n\nenable_testing()\n"
},
{
"path": "LICENSE",
"content": "MIT License\n\nCopyright (c) 2023 Kibae Shin\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
},
{
"path": "README.md",
"content": "# ONNX Runtime Server\n\n[](https://github.com/microsoft/onnxruntime)\n[](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-linux.yml)\n[](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-macos.yml)\n[](https://github.com/kibae/onnxruntime-server/actions/workflows/cmake-windows.yml)\n[](https://github.com/kibae/onnxruntime-server/actions/workflows/codeql.yml)\n[](https://github.com/kibae/onnxruntime-server/blob/main/LICENSE)\n\n- [ONNX: Open Neural Network Exchange](https://onnx.ai/)\n- **The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.**\n- ONNX Runtime Server aims to provide simple, high-performance ML inference and a good developer experience.\n - If you have exported ML models trained in various environments as ONNX files, you can provide inference APIs\n without writing additional code or\n metadata. [Just place the ONNX files into the directory structure.](#run-the-server)\n - Each ONNX session, you can choose to use CPU or CUDA.\n - Analyze the input/output of ONNX models to provide type/shape information for your collaborators.\n - Built-in Swagger API documentation makes it easy for collaborators to test ML models through the\n API. ([API example](https://kibae.github.io/onnxruntime-server/swagger/))\n - [Ready-to-run Docker images.](#docker) No build required.\n\n----\n\n\n\n- [Build ONNX Runtime Server](#build-onnx-runtime-server)\n - [Requirements](#requirements)\n - [Install ONNX Runtime](#install-onnx-runtime)\n - [Install dependencies](#install-dependencies)\n - [Compile and Install](#compile-and-install)\n- [Install via a package manager](#install-via-a-package-manager)\n- [Run the server](#run-the-server)\n- [Docker](#docker)\n- [API](#api)\n- [How to use](#how-to-use)\n\n----\n\n# Build ONNX Runtime Server\n\n## Requirements\n\n- [ONNX Runtime](https://onnxruntime.ai/)\n- [Boost](https://www.boost.org/)\n- [CMake](https://cmake.org/), pkg-config\n- CUDA(*optional, for Nvidia GPU support*)\n- OpenSSL(*optional, for HTTPS*)\n\n----\n\n## Install ONNX Runtime\n\n#### Linux\n\n- Use `download-onnxruntime-linux.sh` script\n - This script downloads the latest version of the binary and install to `/usr/local/onnxruntime`.\n - Also, add `/usr/local/onnxruntime/lib` to `/etc/ld.so.conf.d/onnxruntime.conf` and run `ldconfig`.\n- Or manually download binary from [ONNX Runtime Releases](https://github.com/microsoft/onnxruntime/releases).\n\n#### Mac OS\n\n```shell\nbrew install onnxruntime\n```\n\n----\n\n## Install dependencies\n\n#### Ubuntu/Debian\n\n```shell\nsudo apt install cmake pkg-config libboost-all-dev libssl-dev\n\n# optional, for running tests\nsudo apt install libgtest-dev\n```\n\n##### (optional) CUDA support (CUDA 12.x/13.x, cuDNN 9.x)\n\n- Follow the instructions below to install the CUDA Toolkit and cuDNN.\n - [CUDA Toolkit Installation Guide](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)\n - [CUDA Download for Ubuntu](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_network)\n\n```shell\n# CUDA 12\nsudo apt install cuda-toolkit-12 libcudnn9-dev-cuda-12\n# CUDA 13\nsudo apt install cuda-toolkit-13 libcudnn9-dev-cuda-13\n\n# optional, for Nvidia GPU support with Docker\nsudo apt install nvidia-container-toolkit\n```\n\n#### Mac OS\n\n```shell\nbrew install cmake boost openssl\n```\n\n----\n\n## Compile and Install\n\n```shell\ncmake -B build -S . -DCMAKE_BUILD_TYPE=Release\ncmake --build build --parallel\nsudo cmake --install build --prefix /usr/local/onnxruntime-server\n```\n\n----\n\n# Install via a package manager\n\n| OS | Method | Command |\n|------------|--------|-----------------------------|\n| Arch Linux | AUR | `yay -S onnxruntime-server` |\n\n----\n\n# Run the server\n\n- **You must enter the path option(`--model-dir`) where the models are located.**\n - The onnx model files must be located in the following path:\n `${model_dir}/${model_name}/${model_version}/model.onnx` or\n `${model_dir}/${model_name}/${model_version}.onnx`\n\n| Files in `--model-dir` | Create session request body | Get/Execute session API URL path\n \n"
},
{
"path": "cmake/FindONNXRuntime.cmake",
"content": "message(STATUS \"Looking for ONNX Runtime\")\n\nset(ONNX_RUNTIME_ROOT_DIR ENV ONNX_ROOT /usr/local/onnxruntime /usr /usr/local /opt/homebrew C:/msys64/usr/local/onnxruntime)\nset(ONNX_RUNTIME_INCLUDE_PATHS /usr/local/include/onnxruntime)\nset(MACOS_ONNX_RUNTIME_INCLUDE_PATHS /opt/homebrew/include/onnxruntime /opt/homebrew/include/onnxruntime/core/session /usr/local/include/onnxruntime/core/session)\n\nfind_path(ONNX_RUNTIME_INCLUDE_DIRS onnxruntime_cxx_api.h PATHS ${ONNX_RUNTIME_ROOT_DIR} ${ONNX_RUNTIME_INCLUDE_PATHS} ${MACOS_ONNX_RUNTIME_INCLUDE_PATHS} PATH_SUFFIXES include include/onnxruntime)\nfind_library(ONNX_RUNTIME_LIBRARY onnxruntime PATHS ${ONNX_RUNTIME_ROOT_DIR} PATH_SUFFIXES lib)\n\nfind_library(ONNX_RUNTIME_CUDA_LIBRARY onnxruntime_providers_cuda PATHS ${ONNX_RUNTIME_LIBRARY} ${ONNX_RUNTIME_ROOT_DIR} PATH_SUFFIXES lib)\n\nif (ONNX_RUNTIME_LIBRARY)\n message(STATUS \"Found ONNX Runtime include dir: ${ONNX_RUNTIME_INCLUDE_DIRS}\")\n message(STATUS \"Found ONNX Runtime library: ${ONNX_RUNTIME_LIBRARY}\")\n get_filename_component(ONNX_RUNTIME_LIBRARY_DIRS ${ONNX_RUNTIME_LIBRARY} DIRECTORY)\n set(ONNX_RUNTIME_LIBRARY_DIRS \"${ONNX_RUNTIME_LIBRARY_DIRS}\" CACHE STRING \"ONNX Runtime library directory\")\n message(STATUS \"Found ONNX Runtime library dir: ${ONNX_RUNTIME_LIBRARY_DIRS}\")\n if (ONNX_RUNTIME_CUDA_LIBRARY)\n set(ONNX_RUNTIME_WITH_CUDA_PROVIDER TRUE CACHE BOOL \"ONNX Runtime with CUDA provider\")\n set(ONNX_RUNTIME_LIBRARIES ${ONNX_RUNTIME_LIBRARY} ${ONNX_RUNTIME_CUDA_LIBRARY} CACHE STRING \"ONNX Runtime libraries\")\n else ()\n set(ONNX_RUNTIME_LIBRARIES ${ONNX_RUNTIME_LIBRARY} CACHE STRING \"ONNX Runtime libraries\")\n endif ()\nendif ()\n\ninclude(FindPackageHandleStandardArgs)\nif (ONNX_RUNTIME_WITH_CUDA_PROVIDER)\n find_package_handle_standard_args(ONNXRuntime DEFAULT_MSG ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY ONNX_RUNTIME_CUDA_LIBRARY)\n mark_as_advanced(ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY ONNX_RUNTIME_CUDA_LIBRARY)\nelse ()\n find_package_handle_standard_args(ONNXRuntime DEFAULT_MSG ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY)\n mark_as_advanced(ONNX_RUNTIME_INCLUDE_DIRS ONNX_RUNTIME_LIBRARY_DIRS ONNX_RUNTIME_LIBRARIES ONNX_RUNTIME_LIBRARY)\nendif ()\n\n"
},
{
"path": "deploy/build-docker/README.md",
"content": "# Docker Build\n\n## x64 with CUDA\n\n- [ONNX Runtime Binary](https://github.com/microsoft/onnxruntime/releases) v1.26.0(latest) supports CUDA 12/13, cuDNN 9.\n- Two CUDA variants are available:\n - `linux-cuda13`: Built on `nvidia/cuda:13.1.1-cudnn-devel-ubuntu24.04`, runtime based on `nvidia/cuda:13.1.1-cudnn-runtime-ubuntu24.04`\n - `linux-cuda12`: Built on `nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04`, runtime based on `nvidia/cuda:12.9.1-cudnn-runtime-ubuntu24.04`\n- Multi-stage build is used to keep the final image small (devel for building, runtime for the final image).\n- **We need to check this for each release of the ONNX Runtime binary.**\n"
},
{
"path": "deploy/build-docker/VERSION",
"content": "export VERSION=1.26.0\nexport IMAGE_PREFIX=kibaes/onnxruntime-server\n"
},
{
"path": "deploy/build-docker/build.sh",
"content": "#!/usr/bin/env bash\n\ncd \"$(dirname \"$0\")\" || exit\nsource ./VERSION\n\ncd ../../\n\n\nif [ \"$1\" != \"--target=cuda\" ]; then\n # ______ .______ __ __\n # / || _ \\ | | | |\n # | ,----'| |_) | | | | |\n # | | | ___/ | | | |\n # | `----.| | | `--' |\n # \\______|| _| \\______/\n POSTFIX=linux-cpu\n IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}\n\n docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1\n ./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} || exit 1\n docker buildx build --platform linux/amd64,linux/arm64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1\nfi\n\n\nif [ \"$1\" != \"--target=cpu\" ]; then\n # ______ __ __ _______ ___ ___ ___ __ _ _\n # / || | | | | \\ / \\ \\ \\ / / / / | || |\n # | ,----'| | | | | .--. | / ^ \\ _____\\ V / / /_ | || |_\n # | | | | | | | | | | / /_\\ \\ |______> < | '_ \\ |__ _|\n # | `----.| `--' | | '--' | / _____ \\ / . \\ | (_) | | |\n # \\______| \\______/ |_______/ /__/ \\__\\ /__/ \\__\\ \\___/ |_|\n# POSTFIX=linux-cuda11\n# IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}\n#\n# docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1\n# ./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} 1 || exit 1\n# docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1\n\n\n POSTFIX=linux-cuda12\n IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}\n\n docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1\n ./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} 1 || exit 1\n docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1\n\n POSTFIX=linux-cuda13\n IMAGE_NAME=${IMAGE_PREFIX}:${VERSION}-${POSTFIX}\n\n docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --load . || exit 1\n ./deploy/build-docker/docker-image-test.sh ${IMAGE_NAME} 1 || exit 1\n docker buildx build --platform linux/amd64 -t ${IMAGE_NAME} -f deploy/build-docker/${POSTFIX}.dockerfile --push . || exit 1\nfi\n\n"
},
{
"path": "deploy/build-docker/docker-compose.yaml",
"content": "services:\n # Available environment variables can be found at\n # https://github.com/kibae/onnxruntime-server#run-the-server\n\n onnxruntime_server_simple:\n # After the docker container is up, you can use the REST API (http://localhost:8080).\n # API documentation will be available at http://localhost:8080/api-docs.\n image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12\n ports:\n - \"8080:80\" # for http backend\n volumes:\n # for model files\n # https://github.com/kibae/onnxruntime-server#run-the-server\n - /your_model_dir:/app/models\n\n # for log files\n - /your_log_dir:/app/logs\n environment:\n # for swagger(optional)\n - ONNX_SERVER_SWAGGER_URL_PATH=/api-docs\n deploy:\n resources:\n reservations:\n devices:\n - driver: nvidia\n count: 1\n capabilities: [ gpu ]\n\n onnxruntime_server_advanced:\n # After the docker container is up, you can use the REST API (http://localhost, https://localhost).\n # API documentation will be available at http://localhost/api-docs.\n image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12\n ports:\n - \"80:80\" # for http backend\n - \"443:443\" # for https backend\n - \"8001:8001\" # for tcp backend. binary protocol\n volumes:\n # for model files\n # https://github.com/kibae/onnxruntime-server#run-the-server\n - /your_model_dir:/app/models\n\n # for log files\n - /your_log_dir:/app/logs\n\n # for cert files\n - /your_cert_dir:/app/certs\n environment:\n # for https backend\n - ONNX_SERVER_HTTPS_PORT=443\n\n # https backend needs cert, key files\n - ONNX_SERVER_HTTPS_CERT=/app/certs/cert.pem\n - ONNX_SERVER_HTTPS_KEY=/app/certs/key.pem\n\n # for onnx session preparation\n - ONNX_SERVER_PREPARE_MODEL=\"model1:v1(cuda=true) model1:v2(cuda=0) model2:v2\"\n\n # for swagger(optional)\n - ONNX_SERVER_SWAGGER_URL_PATH=/api-docs\n deploy:\n resources:\n reservations:\n devices:\n - driver: nvidia\n count: 1\n capabilities: [ gpu ]\n"
},
{
"path": "deploy/build-docker/docker-image-test.sh",
"content": "#!/usr/bin/env bash\n\ncd \"$(dirname \"$0\")\" || exit\n\nsource ./VERSION\n\nIMAGE_NAME=$1\nIS_CUDA=$2\n\necho\necho '.___________. _______ _______.___________.'\necho '| || ____| / | |'\necho '`---| |----`| |__ | (----`---| |----`'\necho ' | | | __| \\ \\ | |'\necho ' | | | |____.----) | | |'\necho ' |__| |_______|_______/ |__|'\necho\necho ${IMAGE_NAME}\necho\necho\n\ndocker stop docker_test || true\ndocker rm docker_test || true\ndocker run --name docker_test -d -p 8080:80 --gpus all -e \"ONNX_SERVER_SWAGGER_URL_PATH=/api-docs\" ${IMAGE_NAME} || exit 1\nsleep 1;\ndocker cp ../../test/fixture/sample docker_test:/app/models/ || exit 1\n\nAPI_VERSION_RESULT=$(curl -s \\\n 'http://localhost:8080/api/version' \\\n -H 'accept: application/json' \\\n -H 'Content-Type: application/json' || exit 1)\n\nif [ \"${API_VERSION_RESULT}\" != \"${VERSION}\" ]; then\n echo \"API version mismatch. Expected: ${VERSION}, Got: ${API_VERSION_RESULT}\"\n exit 1\nfi\n\necho \"ONNX Server Version: ${VERSION}\"\n\nif [[ -v ${IS_CUDA} ]]; then\n curl -sX 'POST' \\\n 'http://localhost:8080/api/sessions' \\\n -H 'accept: application/json' \\\n -H 'Content-Type: application/json' \\\n -d '{\"model\": \"sample\", \"version\": \"2\", \"option\":{\"cuda\": true}}' | jq || exit 1\n\n DEVICE_ID=$(curl -sX 'GET' \\\n 'http://localhost:8080/api/sessions/sample/2' \\\n -H 'accept: application/json' | jq '.option.cuda.device_id' || exit 1)\n\n if [ \"${DEVICE_ID}\" != \"0\" ]; then\n echo \"CUDA is not available\"\n exit 1\n fi\nelse\n curl -sX 'POST' \\\n 'http://localhost:8080/api/sessions' \\\n -H 'accept: application/json' \\\n -H 'Content-Type: application/json' \\\n -d '{\"model\": \"sample\", \"version\": \"2\"}' | jq || exit 1\n\n ERROR=$(curl -sX 'GET' \\\n 'http://localhost:8080/api/sessions/sample/2' \\\n -H 'accept: application/json' | jq '.error' || exit 1)\n\n if [ \"${ERROR}\" != \"null\" ]; then\n echo ${ERROR}\n exit 1\n fi\nfi\n\ncurl -sX 'POST' \\\n 'http://localhost:8080/api/sessions/sample/2' \\\n -H 'accept: application/json' \\\n -H 'Content-Type: application/json' \\\n -d '{\n \"input_ids\": [\n [\n 101, 11834, 21600, 2102, 9005, 12098, 8566, 5740, 6853, 1999, 1996, 2806, 1997, 15262, 19699, 14663, 1005, 1055,\n 3203, 8447, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0\n ],\n [\n 101, 3795, 3361, 3422, 16168, 19428, 1997, 1520, 2582, 7860, 1998, 28215, 1521, 3805, 102, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ],\n [\n 101, 2054, 4511, 2323, 1045, 3288, 2000, 1037, 8179, 2283, 1029, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ]\n ],\n \"onnx::Equal_1\": [\n [\n 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ],\n [\n 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ],\n [\n 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0\n ]\n ]\n}\n' | jq || exit 1\n\ncurl -sX 'GET' \\\n 'http://localhost:8080/api/sessions' \\\n -H 'accept: application/json' | jq || exit 1\n\necho\necho '.______ ___ _______. _______.'\necho '| _ \\ / \\ / | / |'\necho '| |_) | / ^ \\ | (----` | (----`'\necho '| ___/ / /_\\ \\ \\ \\ \\ \\ '\necho '| | / _____ \\ .----) | .----) | '\necho '| _| /__/ \\__\\ |_______/ |_______/ '\necho\n\ndocker rm docker_test -f || true\n"
},
{
"path": "deploy/build-docker/download-onnxruntime.sh",
"content": "#!/usr/bin/env bash\n\ncd \"$(dirname \"$0\")\" || exit\n\nOS=$1\nARCH=$2\n\necho\necho \"Select onnxruntime version to download:\"\nRAW_LIST=$(curl -s -H \"Accept: application/vnd.github+json\" \\\n -H \"X-GitHub-Api-Version: 2022-11-28\" \\\n https://api.github.com/repos/microsoft/onnxruntime/releases/latest \\\n | grep browser_download_url \\\n | grep -E \"onnxruntime-${OS}-${ARCH}-([.0-9]+)tgz\" \\\n | awk '{print $2}' \\\n | tr -d '\"' \\\n | head -n 1)\n\nitem=${RAW_LIST[0]}\n\nFILENAME=$(basename \"$item\")\n\necho\necho \"Downloading $item\"\necho\n\nwget -q \"$item\"\n\nmkdir -p /usr/local/onnxruntime\ntar vzxf \"$FILENAME\" -C /usr/local/onnxruntime --strip-components=1\nsh -c 'echo \"/usr/local/onnxruntime/lib\" > /etc/ld.so.conf.d/onnxruntime.conf'\nldconfig\n\nrm -f \"$FILENAME\"\n\necho\necho \"Done\"\necho\n"
},
{
"path": "deploy/build-docker/linux-cpu.dockerfile",
"content": "FROM ubuntu:24.04 AS builder\n\nRUN apt update && apt install -y curl wget git build-essential cmake pkg-config libboost-all-dev libssl-dev\nRUN mkdir -p /app/source\n\nWORKDIR /app/source\nCOPY src /app/source/onnxruntime-server\nCOPY cmake /app/source/onnxruntime-server/cmake\nCOPY deploy/build-docker/download-onnxruntime.sh /app/source/onnxruntime-server/\n\nWORKDIR /app/source/onnxruntime-server\n\nARG TARGETPLATFORM\nRUN case ${TARGETPLATFORM} in \\\n \"linux/amd64\") ./download-onnxruntime.sh linux x64 ;; \\\n \"linux/arm64\") ./download-onnxruntime.sh linux aarch64 ;; \\\n esac\n\nRUN cmake -DBoost_USE_STATIC_LIBS=ON -DOPENSSL_USE_STATIC_LIBS=ON -B build -S . -DCMAKE_BUILD_TYPE=Release\nRUN cmake --build build --parallel 8 --target onnxruntime_server_standalone\nRUN cmake --install build --prefix /app/onnxruntime-server\n\n# target\nFROM ubuntu:24.04 AS target\nCOPY --from=builder /app/onnxruntime-server /app\nCOPY --from=builder /usr/local/onnxruntime /usr/local/onnxruntime\n\nWORKDIR /app\nRUN mkdir -p models logs certs\n\nENV ONNX_SERVER_CONFIG_PRIORITY=env\nENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/onnxruntime/lib\nENTRYPOINT [\"/app/bin/onnxruntime_server\", \"--model-dir\", \"models\", \"--log-file\", \"logs/app.log\", \"--access-log-file\", \"logs/access.log\", \"--tcp-port\", \"6432\", \"--http-port\", \"80\"]\n"
},
{
"path": "deploy/build-docker/linux-cuda12.dockerfile",
"content": "FROM nvidia/cuda:12.9.1-cudnn-devel-ubuntu24.04 AS builder\n\nRUN apt update && apt install -y curl wget git build-essential cmake pkg-config libboost-all-dev libssl-dev\nRUN mkdir -p /app/source\n\nWORKDIR /app/source\nCOPY src /app/source/onnxruntime-server\nCOPY cmake /app/source/onnxruntime-server/cmake\nCOPY deploy/build-docker/download-onnxruntime.sh /app/source/onnxruntime-server/\n\nWORKDIR /app/source/onnxruntime-server\n\nARG TARGETPLATFORM\nRUN case ${TARGETPLATFORM} in \\\n \"linux/amd64\") ./download-onnxruntime.sh linux x64-gpu ;; \\\n esac\n\nRUN cmake -DCUDA_SDK_ROOT_DIR=/usr/local/cuda-12 -DBoost_USE_STATIC_LIBS=ON -DOPENSSL_USE_STATIC_LIBS=ON -B build -S . -DCMAKE_BUILD_TYPE=Release\nRUN cmake --build build --parallel 8 --target onnxruntime_server_standalone\nRUN cmake --install build --prefix /app/onnxruntime-server\n\n# target\nFROM nvidia/cuda:12.9.1-cudnn-runtime-ubuntu24.04 AS target\nCOPY --from=builder /app/onnxruntime-server /app\nCOPY --from=builder /usr/local/onnxruntime /usr/local/onnxruntime\n\nWORKDIR /app\nRUN mkdir -p models logs certs\n\nENV ONNX_SERVER_CONFIG_PRIORITY=env\nENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12/lib64:/usr/local/onnxruntime/lib\nENTRYPOINT [\"/app/bin/onnxruntime_server\", \"--model-dir\", \"models\", \"--log-file\", \"logs/app.log\", \"--access-log-file\", \"logs/access.log\", \"--tcp-port\", \"6432\", \"--http-port\", \"80\"]\n"
},
{
"path": "deploy/build-docker/linux-cuda13.dockerfile",
"content": "FROM nvidia/cuda:13.1.1-cudnn-devel-ubuntu24.04 AS builder\n\nRUN apt update && apt install -y curl wget git build-essential cmake pkg-config libboost-all-dev libssl-dev\nRUN mkdir -p /app/source\n\nWORKDIR /app/source\nCOPY src /app/source/onnxruntime-server\nCOPY cmake /app/source/onnxruntime-server/cmake\nCOPY deploy/build-docker/download-onnxruntime.sh /app/source/onnxruntime-server/\n\nWORKDIR /app/source/onnxruntime-server\n\nARG TARGETPLATFORM\nRUN case ${TARGETPLATFORM} in \\\n \"linux/amd64\") ./download-onnxruntime.sh linux x64-gpu_cuda13 ;; \\\n esac\n\nRUN cmake -DCUDA_SDK_ROOT_DIR=/usr/local/cuda-13 -DBoost_USE_STATIC_LIBS=ON -DOPENSSL_USE_STATIC_LIBS=ON -B build -S . -DCMAKE_BUILD_TYPE=Release\nRUN cmake --build build --parallel 8 --target onnxruntime_server_standalone\nRUN cmake --install build --prefix /app/onnxruntime-server\n\n# target\nFROM nvidia/cuda:13.1.1-cudnn-runtime-ubuntu24.04 AS target\nCOPY --from=builder /app/onnxruntime-server /app\nCOPY --from=builder /usr/local/onnxruntime /usr/local/onnxruntime\n\nWORKDIR /app\nRUN mkdir -p models logs certs\n\nENV ONNX_SERVER_CONFIG_PRIORITY=env\nENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-13/lib64:/usr/local/onnxruntime/lib\nENTRYPOINT [\"/app/bin/onnxruntime_server\", \"--model-dir\", \"models\", \"--log-file\", \"logs/app.log\", \"--access-log-file\", \"logs/access.log\", \"--tcp-port\", \"6432\", \"--http-port\", \"80\"]\n"
},
{
"path": "deploy/update-version.sh",
"content": "#!/usr/bin/env bash\n\ncd \"$(dirname \"$0\")/..\" || exit\n\nFROM_VERSION=$1\nTO_VERSION=$2\n\nif [ -z \"$FROM_VERSION\" ] || [ -z \"$TO_VERSION\" ]; then\n echo \"Usage: $0 \"\n exit 1\nfi\n\nFILES=(\n \"README.md\"\n \"docs/docker.md\"\n \"docs/swagger/openapi.yaml\"\n \"deploy/build-docker/VERSION\"\n \"deploy/build-docker/docker-compose.yaml\"\n \"deploy/build-docker/README.md\"\n \"src/test/test_lib_version.cpp\"\n )\n\npwd\n\nfor file in \"${FILES[@]}\"\ndo\n echo \"Updating $file\"\n sed -i \"s/${FROM_VERSION}/${TO_VERSION}/g\" \"$file\"\ndone\n\necho \"Done\"\necho\n\necho \"Update docker hub page\"\necho \"https://hub.docker.com/repository/docker/kibaes/onnxruntime-server/general\"\n\n"
},
{
"path": "docs/docker.md",
"content": "# ONNX Runtime Server\n\n- **The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.**\n- https://github.com/kibae/onnxruntime-server\n\n# Supported tags and respective Dockerfile links\n\n- [`1.26.0-linux-cuda13`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda13.dockerfile) amd64(CUDA 13.x, cuDNN 9.x)\n- [`1.26.0-linux-cuda12`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cuda12.dockerfile) amd64(CUDA 12.x, cuDNN 9.x)\n- [`1.26.0-linux-cpu`](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/linux-cpu.dockerfile) amd64, arm64\n\n# How to use this image\n\n- onnxruntime-server supports hardware acceleration with CUDA. To use the `--gpus all` option when running `docker run`,\n the `nvidia-container-toolkit` package must be installed on the host OS.\n ```shell\n sudo apt install nvidia-container-toolkit\n ```\n- This example assumes that your onnx files are located in the `/your_model_dir` directory on the host OS.\n See [this document](https://github.com/kibae/onnxruntime-server#run-the-server) for paths and\n naming conventions for onnx files\n - `${model_dir}/${model_name}/${model_version}/model.onnx`\n- Available environment variables can be found at\n - https://github.com/kibae/onnxruntime-server#run-the-server\n\n## General usage\n\n- After the docker container is up, you can use the REST API (http://localhost or https://localhost).\n - API documentation will be available at http://localhost/api-docs.\n\n```shell\nDOCKER_IMAGE=kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12 or 1.26.0-linux-cpu\n\ndocker pull ${DOCKER_IMAGE}\n\n# simple http backend\ndocker run --name onnxruntime_server_container -d --rm --gpus all \\\n -p 80:80 \\\n -v \"/your_model_dir:/app/models\" \\\n -v \"/your_log_dir:/app/logs\" \\\n -e \"ONNX_SERVER_SWAGGER_URL_PATH=/api-docs\" \\\n ${DOCKER_IMAGE}\n\n# with https backend. cert, key files must be located in the /your_cert_dir directory on the host OS.\ndocker run --name onnxruntime_server_container -d --rm --gpus all \\\n -p 80:80 \\\n -p 443:443 \\\n -v \"/your_model_dir:/app/models\" \\\n -v \"/your_log_dir:/app/logs\" \\\n -v \"/your_cert_dir:/app/certs\" \\\n -e \"ONNX_SERVER_SWAGGER_URL_PATH=/api-docs\" \\\n -e \"ONNX_SERVER_HTTPS_PORT=443\" \\\n -e \"ONNX_SERVER_HTTPS_CERT=/app/certs/cert.pem\" \\\n -e \"ONNX_SERVER_HTTPS_KEY=/app/certs/key.pem\" \\\n ${DOCKER_IMAGE}\n```\n\n## Using docker-compose\n\n- [docker-compose.yml](https://github.com/kibae/onnxruntime-server/blob/main/deploy/build-docker/docker-compose.yaml)\n example is available in the repository.\n\n### Simple one for HTTP backend\n\n```yaml\nservices:\n # Available environment variables can be found at\n # https://github.com/kibae/onnxruntime-server#run-the-server\n\n onnxruntime_server_simple:\n # After the docker container is up, you can use the REST API (http://localhost:8080).\n # API documentation will be available at http://localhost:8080/api-docs.\n image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12\n ports:\n - \"8080:80\" # for http backend\n volumes:\n # for model files\n # https://github.com/kibae/onnxruntime-server#run-the-server\n - /your_model_dir:/app/models\n\n # for log files\n - /your_log_dir:/app/logs\n environment:\n # for swagger(optional)\n - ONNX_SERVER_SWAGGER_URL_PATH=/api-docs\n deploy:\n resources:\n reservations:\n devices:\n - driver: nvidia\n count: 1\n capabilities: [ gpu ]\n```\n\n### Advanced usage for HTTPS backend\n\n```yaml\nservices:\n # Available environment variables can be found at\n # https://github.com/kibae/onnxruntime-server#run-the-server\n\n onnxruntime_server_advanced:\n # After the docker container is up, you can use the REST API (http://localhost, https://localhost).\n # API documentation wl be available at http://localhost/api-docs.\n image: kibaes/onnxruntime-server:1.26.0-linux-cuda13 # or 1.26.0-linux-cuda12\n ports:\n - \"80:80\" # for http backend\n - \"443:443\" # for https backend\n - \"8001:8001\" # for tcp backend. binary protocol\n volumes:\n # for model files\n # https://github.com/kibae/onnxruntime-server#run-the-server\n - /your_model_dir:/app/models\n\n # for log files\n - /your_log_dir:/app/logs\n\n # for cert files\n - /your_cert_dir:/app/certs\n environment:\n # for https backend\n - ONNX_SERVER_HTTPS_PORT=443\n\n # https backend needs cert, key files\n - ONNX_SERVER_HTTPS_CERT=/app/certs/cert.pem\n - ONNX_SERVER_HTTPS_KEY=/app/certs/key.pem\n\n # for onnx session preparation\n - ONNX_SERVER_PREPARE_MODEL=\"model1:v1(cuda=true) model1:v2(cuda=0) model2:v2\"\n\n # for swagger(optional)\n - ONNX_SERVER_SWAGGER_URL_PATH=/api-docs\n deploy:\n resources:\n reservations:\n devices:\n - driver: nvidia\n count: 1\n capabilities: [ gpu ]\n```"
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"path": "docs/swagger/index.css",
"content": "html {\n box-sizing: border-box;\n overflow: -moz-scrollbars-vertical;\n overflow-y: scroll;\n}\n\n*,\n*:before,\n*:after {\n box-sizing: inherit;\n}\n\nbody {\n margin: 0;\n background: #fafafa;\n}\n"
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"path": "docs/swagger/index.html",
"content": "\n\n\n\n Swagger UI \n
\n\n\n\n\n\n"
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"path": "docs/swagger/openapi.yaml",
"content": "openapi: 3.0.3\ninfo:\n title: ONNX Runtime Server\n description: |-\n version: 1.26.0\nexternalDocs:\n description: ONNX Runtime Server\n url: https://github.com/kibae/onnxruntime-server\ntags:\n - name: ONNX Runtime Session\npaths:\n /api/sessions:\n get:\n tags:\n - ONNX Runtime Session\n summary: List sessions\n description: List all sessions\n operationId: listSessions\n responses:\n '200':\n description: OK\n content:\n application/json:\n schema:\n type: array\n items:\n $ref: '#/components/schemas/ONNXSession'\n post:\n tags:\n - ONNX Runtime Session\n summary: Create sessions\n description: Create a new session\n operationId: createSession\n requestBody:\n required: true\n description: option, option.input_shape, option.output_shape are optional\n content:\n application/json(simple, wo/option):\n schema:\n $ref: '#/components/schemas/ONNXSessionCreateRequestSimple'\n application/json(w/option):\n schema:\n $ref: '#/components/schemas/ONNXSessionCreateRequest'\n responses:\n '200':\n description: OK\n content:\n application/json:\n schema:\n type: array\n items:\n $ref: '#/components/schemas/ONNXSession'\n '400':\n description: Bad Request\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXBadRequestError'\n '404':\n description: Not Found\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXNotFoundError'\n '409':\n description: Conflict\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXConflictError'\n '500':\n description: Internal Server Error\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXRuntimeError'\n\n /api/sessions/{model}/{version}:\n get:\n tags:\n - ONNX Runtime Session\n summary: Get session\n description: Get a session\n operationId: getSession\n parameters:\n - name: model\n in: path\n description: Model name\n required: true\n schema:\n type: string\n - name: version\n in: path\n description: Model version\n required: true\n schema:\n type: string\n responses:\n '200':\n description: OK\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXSession'\n '404':\n description: Not Found\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXNotFoundError'\n post:\n tags:\n - ONNX Runtime Session\n summary: Execute session\n description: Execute a session\n operationId: executeSession\n parameters:\n - name: model\n in: path\n description: Model name\n required: true\n schema:\n type: string\n - name: version\n in: path\n description: Model version\n required: true\n schema:\n type: string\n requestBody:\n required: true\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXSessionExecuteRequest'\n responses:\n '200':\n description: OK\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXSessionExecuteResponse'\n '400':\n description: Bad Request\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXBadRequestError'\n '404':\n description: Not Found\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXNotFoundError'\n '500':\n description: Internal Server Error\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXRuntimeError'\n\n delete:\n tags:\n - ONNX Runtime Session\n summary: Destroy session\n description: Destroy a session\n operationId: destroySession\n parameters:\n - name: model\n in: path\n description: Model name\n required: true\n schema:\n type: string\n - name: version\n in: path\n description: Model version\n required: true\n schema:\n type: string\n responses:\n '200':\n description: OK\n content:\n application/json:\n schema:\n type: boolean\n '404':\n description: Not Found\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/ONNXNotFoundError'\n\n /api/version:\n get:\n tags:\n - ONNX Runtime\n summary: ONNX Runtime version\n description: Get ONNX Runtime version\n operationId: getONNXRuntimeVersion\n responses:\n '200':\n description: OK\n content:\n plain/text:\n schema:\n type: string\n example: 1.0.0\n\n /health:\n get:\n tags:\n - Default\n summary: Health check\n description: Health check\n operationId: healthCheck\n responses:\n '200':\n description: OK\n content:\n plain/text:\n schema:\n type: string\n example: OK\n\ncomponents:\n schemas:\n ONNXSession:\n type: object\n properties:\n model:\n type: string\n description: Model name\n nullable: false\n version:\n type: string\n description: Model version\n nullable: false\n created_at:\n type: number\n description: Timestamp when the session was created\n nullable: false\n last_executed_at:\n type: number\n description: Timestamp when the session was last executed\n nullable: false\n execution_count:\n type: integer\n description: Number of executions\n nullable: false\n inputs:\n type: object\n description: Input types\n nullable: false\n example: {\n \"x\": \"float32[-1,1]\",\n \"y\": \"float32[-1,1]\",\n \"z\": \"float32[-1,1]\"\n }\n outputs:\n type: object\n description: Output types\n nullable: false\n example: {\n \"output\": \"float32[-1,1]\"\n }\n option:\n $ref: '#/components/schemas/ONNXSessionOption'\n ONNXSessionOption:\n type: object\n description: |\n Normalized echo of the options applied to the session. The server only includes\n keys whose corresponding ORT calls succeeded; values reflect what ORT actually\n stored (read back via GetCUDAProviderOptionsAsString and GetSessionConfigEntry\n where applicable).\n nullable: true\n properties:\n cuda:\n nullable: true\n required: false\n oneOf:\n - type: boolean\n description: CUDA disabled (false) — present for backward compatibility.\n - $ref: '#/components/schemas/ONNXSessionOptionCUDA'\n extensions:\n type: array\n description: Registered onnxruntime-extensions library paths in registration order, deduplicated.\n required: false\n items:\n type: string\n example:\n - /absolute/path/to/libonnxruntime_extensions.so\n session_options:\n $ref: '#/components/schemas/ONNXSessionOptionsGroup'\n ONNXSessionOptionRequest:\n type: object\n nullable: true\n properties:\n cuda:\n nullable: false\n required: false\n oneOf:\n - type: boolean\n description: Enable CUDA with all defaults (device_id=0).\n - type: integer\n description: Enable CUDA on the given device_id.\n - $ref: '#/components/schemas/ONNXSessionOptionCUDA'\n input_shape:\n type: object\n description: Input shape overrides keyed by input name.\n nullable: false\n required: false\n example: {\n \"x\": [ 1, 1 ],\n \"y\": [ 1, 1 ],\n \"z\": [ 1, 1 ]\n }\n output_shape:\n type: object\n description: Output shape overrides keyed by output name.\n nullable: false\n required: false\n example: {\n \"output\": [ 1, 1 ]\n }\n extensions:\n type: array\n description: |\n One or more absolute paths to onnxruntime-extensions custom-ops libraries.\n Each path is registered with ORT in array order; duplicate paths are deduplicated.\n nullable: false\n required: false\n items:\n type: string\n example:\n - /absolute/path/to/libonnxruntime_extensions.so\n ortextensions_path:\n type: string\n description: |\n Deprecated alias for `extensions`. A single library path. The server normalizes\n it into the `extensions` array on input and the response always echoes the\n normalized form.\n deprecated: true\n nullable: false\n required: false\n example: /absolute/path/to/libonnxruntime_extensions.so\n session_options:\n $ref: '#/components/schemas/ONNXSessionOptionsGroup'\n ONNXSessionOptionCUDA:\n type: object\n description: |\n CUDA Execution Provider V2 options. The server forwards every supplied key to\n UpdateCUDAProviderOptions in a single batched call; if ORT rejects any key the\n whole session creation fails with the ORT error message. The response is built\n from GetCUDAProviderOptionsAsString readback, so it shows exactly what ORT\n stored (which may differ from the requested value if ORT normalized it).\n properties:\n device_id:\n type: integer\n description: CUDA device ID\n nullable: false\n gpu_mem_limit:\n type: integer\n description: Per-session GPU memory limit, in bytes.\n nullable: false\n arena_extend_strategy:\n type: string\n description: Arena extension strategy, e.g. \"kNextPowerOfTwo\" or \"kSameAsRequested\".\n nullable: false\n cudnn_conv_algo_search:\n type: string\n description: cuDNN convolution algorithm search policy. Accepted values are ORT-defined enum names.\n nullable: false\n cudnn_conv_use_max_workspace:\n type: boolean\n nullable: false\n do_copy_in_default_stream:\n type: boolean\n nullable: false\n enable_cuda_graph:\n type: boolean\n description: Capture and replay a CUDA graph (requires static input shapes).\n nullable: false\n tunable_op_enable:\n type: boolean\n nullable: false\n tunable_op_tuning_enable:\n type: boolean\n nullable: false\n cudnn_conv1d_pad_to_nc1d:\n type: boolean\n nullable: false\n additionalProperties:\n description: |\n Any additional CUDA Execution Provider V2 key understood by your ORT build is\n forwarded as-is. Refer to the ORT CUDA EP documentation for the full list of\n accepted keys.\n ONNXSessionOptionsGroup:\n type: object\n description: |\n Session-level options forwarded to onnxruntime SessionOptions. The server only\n validates JSON shape (types and our enum-string mapping); ORT decides whether the\n value itself is acceptable. Keys whose ORT setter throws are silently dropped from\n the echoed response. The `config_entries` object is round-tripped through\n GetSessionConfigEntry so the echo shows what ORT actually stored (always strings).\n nullable: false\n required: false\n properties:\n intra_op_num_threads:\n type: integer\n description: Number of threads used for parallelizing operators. 0 means ORT default.\n nullable: false\n inter_op_num_threads:\n type: integer\n description: Number of threads used for parallelizing the graph. 0 means ORT default.\n nullable: false\n execution_mode:\n type: string\n enum: [sequential, parallel]\n nullable: false\n graph_optimization_level:\n type: string\n enum: [disable, basic, extended, all]\n nullable: false\n enable_cpu_mem_arena:\n type: boolean\n nullable: false\n enable_mem_pattern:\n type: boolean\n nullable: false\n log_severity_level:\n type: integer\n description: ORT log severity level (0=verbose ... 4=fatal).\n nullable: false\n logid:\n type: string\n nullable: false\n enable_profiling:\n type: boolean\n description: Enable profiling. When true, profile_file_prefix must also be supplied.\n nullable: false\n profile_file_prefix:\n type: string\n nullable: false\n optimized_model_filepath:\n type: string\n description: Filepath where ORT writes the optimized model after graph transformations.\n nullable: false\n free_dimension_overrides:\n type: object\n description: Map of free dimension name to a fixed integer size.\n additionalProperties:\n type: integer\n nullable: false\n example:\n batch: 1\n config_entries:\n type: object\n description: |\n Generic passthrough to AddSessionConfigEntry (e.g. \"session.disable_prepacking\").\n Booleans and integers are stringified before being passed to ORT; values in the\n response are always strings (round-tripped through GetSessionConfigEntry).\n additionalProperties:\n oneOf:\n - type: string\n - type: boolean\n - type: integer\n nullable: false\n example:\n session.disable_prepacking: \"1\"\n ONNXSessionCreateRequest:\n type: object\n properties:\n model:\n type: string\n description: Model name\n required: true\n nullable: false\n version:\n type: string\n description: Model version\n required: true\n nullable: false\n option:\n required: false\n nullable: true\n $ref: '#/components/schemas/ONNXSessionOptionRequest'\n ONNXSessionCreateRequestSimple:\n type: object\n example: {\n \"model\": \"string\",\n \"version\": \"string\"\n }\n properties:\n model:\n type: string\n description: Model name\n required: true\n nullable: false\n version:\n type: string\n description: Model version\n required: true\n nullable: false\n option:\n required: false\n nullable: true\n $ref: '#/components/schemas/ONNXSessionOptionRequest'\n ONNXSessionExecuteRequest:\n type: object\n example: {\n \"x\": [ [ 1 ], [ 2 ], [ 3 ] ],\n \"y\": [ [ 2 ], [ 3 ], [ 4 ] ],\n \"z\": [ [ 3 ], [ 4 ], [ 5 ] ]\n }\n properties:\n input_name1:\n type: array\n description: Input data\n items:\n oneOf:\n - type: number\n - type: string\n input_name2:\n type: array\n description: Input data\n items:\n oneOf:\n - type: number\n - type: string\n ONNXSessionExecuteResponse:\n type: object\n example: {\n \"output\": [ [ 0.6492120623588562 ], [ 0.7610487341880798 ], [ 0.8728854656219482 ] ]\n }\n\n properties:\n output_name1:\n type: array\n description: Output data\n items:\n oneOf:\n - type: number\n - type: string\n output_name2:\n type: array\n description: Output data\n items:\n oneOf:\n - type: number\n - type: string\n ONNXError:\n type: object\n properties:\n error_type:\n type: string\n description: Error type\n nullable: false\n enum:\n - runtime_error\n - bad_request_error\n - not_found_error\n - conflict_error\n error:\n type: string\n description: Error message\n nullable: false\n ONNXBadRequestError:\n allOf:\n - $ref: '#/components/schemas/ONNXError'\n properties:\n error_type:\n type: string\n example: bad_request_error\n ONNXNotFoundError:\n allOf:\n - $ref: '#/components/schemas/ONNXError'\n properties:\n error_type:\n type: string\n example: not_found_error\n ONNXConflictError:\n allOf:\n - $ref: '#/components/schemas/ONNXError'\n properties:\n error_type:\n type: string\n example: conflict_error\n ONNXRuntimeError:\n allOf:\n - $ref: '#/components/schemas/ONNXError'\n properties:\n error_type:\n type: string\n example: runtime_error\n\n"
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Received type '+typeof i);if(void 0===s&&(s=0),void 0===u&&(u=i?i.length:0),void 0===m&&(m=0),void 0===v&&(v=this.length),s<0||u>i.length||m<0||v>this.length)throw new RangeError(\"out of range index\");if(m>=v&&s>=u)return 0;if(m>=v)return-1;if(s>=u)return 1;if(this===i)return 0;let _=(v>>>=0)-(m>>>=0),j=(u>>>=0)-(s>>>=0);const M=Math.min(_,j),$=this.slice(m,v),W=i.slice(s,u);for(let i=0;i>>=0,isFinite(u)?(u>>>=0,void 0===m&&(m=\"utf8\")):(m=u,u=void 0)}const v=this.length-s;if((void 0===u||u>v)&&(u=v),i.length>0&&(u<0||s<0)||s>this.length)throw new RangeError(\"Attempt to write outside buffer bounds\");m||(m=\"utf8\");let _=!1;for(;;)switch(m){case\"hex\":return hexWrite(this,i,s,u);case\"utf8\":case\"utf-8\":return utf8Write(this,i,s,u);case\"ascii\":case\"latin1\":case\"binary\":return asciiWrite(this,i,s,u);case\"base64\":return base64Write(this,i,s,u);case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return ucs2Write(this,i,s,u);default:if(_)throw new TypeError(\"Unknown encoding: \"+m);m=(\"\"+m).toLowerCase(),_=!0}},Buffer.prototype.toJSON=function toJSON(){return{type:\"Buffer\",data:Array.prototype.slice.call(this._arr||this,0)}};const M=4096;function asciiSlice(i,s,u){let m=\"\";u=Math.min(i.length,u);for(let v=s;vm)&&(u=m);let v=\"\";for(let m=s;mu)throw new RangeError(\"Trying to access beyond buffer length\")}function checkInt(i,s,u,m,v,_){if(!Buffer.isBuffer(i))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(s>v||s<_)throw new RangeError('\"value\" argument is out of bounds');if(u+m>i.length)throw new RangeError(\"Index out of range\")}function wrtBigUInt64LE(i,s,u,m,v){checkIntBI(s,m,v,i,u,7);let _=Number(s&BigInt(4294967295));i[u++]=_,_>>=8,i[u++]=_,_>>=8,i[u++]=_,_>>=8,i[u++]=_;let j=Number(s>>BigInt(32)&BigInt(4294967295));return i[u++]=j,j>>=8,i[u++]=j,j>>=8,i[u++]=j,j>>=8,i[u++]=j,u}function wrtBigUInt64BE(i,s,u,m,v){checkIntBI(s,m,v,i,u,7);let _=Number(s&BigInt(4294967295));i[u+7]=_,_>>=8,i[u+6]=_,_>>=8,i[u+5]=_,_>>=8,i[u+4]=_;let j=Number(s>>BigInt(32)&BigInt(4294967295));return i[u+3]=j,j>>=8,i[u+2]=j,j>>=8,i[u+1]=j,j>>=8,i[u]=j,u+8}function checkIEEE754(i,s,u,m,v,_){if(u+m>i.length)throw new RangeError(\"Index out of range\");if(u<0)throw new RangeError(\"Index out of range\")}function writeFloat(i,s,u,m,_){return s=+s,u>>>=0,_||checkIEEE754(i,0,u,4),v.write(i,s,u,m,23,4),u+4}function writeDouble(i,s,u,m,_){return s=+s,u>>>=0,_||checkIEEE754(i,0,u,8),v.write(i,s,u,m,52,8),u+8}Buffer.prototype.slice=function slice(i,s){const u=this.length;(i=~~i)<0?(i+=u)<0&&(i=0):i>u&&(i=u),(s=void 0===s?u:~~s)<0?(s+=u)<0&&(s=0):s>u&&(s=u),s>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=this[i],v=1,_=0;for(;++_>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=this[i+--s],v=1;for(;s>0&&(v*=256);)m+=this[i+--s]*v;return m},Buffer.prototype.readUint8=Buffer.prototype.readUInt8=function readUInt8(i,s){return i>>>=0,s||checkOffset(i,1,this.length),this[i]},Buffer.prototype.readUint16LE=Buffer.prototype.readUInt16LE=function readUInt16LE(i,s){return i>>>=0,s||checkOffset(i,2,this.length),this[i]|this[i+1]<<8},Buffer.prototype.readUint16BE=Buffer.prototype.readUInt16BE=function readUInt16BE(i,s){return i>>>=0,s||checkOffset(i,2,this.length),this[i]<<8|this[i+1]},Buffer.prototype.readUint32LE=Buffer.prototype.readUInt32LE=function readUInt32LE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),(this[i]|this[i+1]<<8|this[i+2]<<16)+16777216*this[i+3]},Buffer.prototype.readUint32BE=Buffer.prototype.readUInt32BE=function readUInt32BE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),16777216*this[i]+(this[i+1]<<16|this[i+2]<<8|this[i+3])},Buffer.prototype.readBigUInt64LE=defineBigIntMethod((function readBigUInt64LE(i){validateNumber(i>>>=0,\"offset\");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=s+256*this[++i]+65536*this[++i]+this[++i]*2**24,v=this[++i]+256*this[++i]+65536*this[++i]+u*2**24;return BigInt(m)+(BigInt(v)<>>=0,\"offset\");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=s*2**24+65536*this[++i]+256*this[++i]+this[++i],v=this[++i]*2**24+65536*this[++i]+256*this[++i]+u;return(BigInt(m)<>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=this[i],v=1,_=0;for(;++_=v&&(m-=Math.pow(2,8*s)),m},Buffer.prototype.readIntBE=function readIntBE(i,s,u){i>>>=0,s>>>=0,u||checkOffset(i,s,this.length);let m=s,v=1,_=this[i+--m];for(;m>0&&(v*=256);)_+=this[i+--m]*v;return v*=128,_>=v&&(_-=Math.pow(2,8*s)),_},Buffer.prototype.readInt8=function readInt8(i,s){return i>>>=0,s||checkOffset(i,1,this.length),128&this[i]?-1*(255-this[i]+1):this[i]},Buffer.prototype.readInt16LE=function readInt16LE(i,s){i>>>=0,s||checkOffset(i,2,this.length);const u=this[i]|this[i+1]<<8;return 32768&u?4294901760|u:u},Buffer.prototype.readInt16BE=function readInt16BE(i,s){i>>>=0,s||checkOffset(i,2,this.length);const u=this[i+1]|this[i]<<8;return 32768&u?4294901760|u:u},Buffer.prototype.readInt32LE=function readInt32LE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),this[i]|this[i+1]<<8|this[i+2]<<16|this[i+3]<<24},Buffer.prototype.readInt32BE=function readInt32BE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),this[i]<<24|this[i+1]<<16|this[i+2]<<8|this[i+3]},Buffer.prototype.readBigInt64LE=defineBigIntMethod((function readBigInt64LE(i){validateNumber(i>>>=0,\"offset\");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=this[i+4]+256*this[i+5]+65536*this[i+6]+(u<<24);return(BigInt(m)<>>=0,\"offset\");const s=this[i],u=this[i+7];void 0!==s&&void 0!==u||boundsError(i,this.length-8);const m=(s<<24)+65536*this[++i]+256*this[++i]+this[++i];return(BigInt(m)<>>=0,s||checkOffset(i,4,this.length),v.read(this,i,!0,23,4)},Buffer.prototype.readFloatBE=function readFloatBE(i,s){return i>>>=0,s||checkOffset(i,4,this.length),v.read(this,i,!1,23,4)},Buffer.prototype.readDoubleLE=function readDoubleLE(i,s){return i>>>=0,s||checkOffset(i,8,this.length),v.read(this,i,!0,52,8)},Buffer.prototype.readDoubleBE=function readDoubleBE(i,s){return i>>>=0,s||checkOffset(i,8,this.length),v.read(this,i,!1,52,8)},Buffer.prototype.writeUintLE=Buffer.prototype.writeUIntLE=function writeUIntLE(i,s,u,m){if(i=+i,s>>>=0,u>>>=0,!m){checkInt(this,i,s,u,Math.pow(2,8*u)-1,0)}let v=1,_=0;for(this[s]=255&i;++_>>=0,u>>>=0,!m){checkInt(this,i,s,u,Math.pow(2,8*u)-1,0)}let v=u-1,_=1;for(this[s+v]=255&i;--v>=0&&(_*=256);)this[s+v]=i/_&255;return s+u},Buffer.prototype.writeUint8=Buffer.prototype.writeUInt8=function writeUInt8(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,1,255,0),this[s]=255&i,s+1},Buffer.prototype.writeUint16LE=Buffer.prototype.writeUInt16LE=function writeUInt16LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,65535,0),this[s]=255&i,this[s+1]=i>>>8,s+2},Buffer.prototype.writeUint16BE=Buffer.prototype.writeUInt16BE=function writeUInt16BE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,65535,0),this[s]=i>>>8,this[s+1]=255&i,s+2},Buffer.prototype.writeUint32LE=Buffer.prototype.writeUInt32LE=function writeUInt32LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,4,4294967295,0),this[s+3]=i>>>24,this[s+2]=i>>>16,this[s+1]=i>>>8,this[s]=255&i,s+4},Buffer.prototype.writeUint32BE=Buffer.prototype.writeUInt32BE=function writeUInt32BE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,4,4294967295,0),this[s]=i>>>24,this[s+1]=i>>>16,this[s+2]=i>>>8,this[s+3]=255&i,s+4},Buffer.prototype.writeBigUInt64LE=defineBigIntMethod((function writeBigUInt64LE(i,s=0){return wrtBigUInt64LE(this,i,s,BigInt(0),BigInt(\"0xffffffffffffffff\"))})),Buffer.prototype.writeBigUInt64BE=defineBigIntMethod((function writeBigUInt64BE(i,s=0){return wrtBigUInt64BE(this,i,s,BigInt(0),BigInt(\"0xffffffffffffffff\"))})),Buffer.prototype.writeIntLE=function writeIntLE(i,s,u,m){if(i=+i,s>>>=0,!m){const m=Math.pow(2,8*u-1);checkInt(this,i,s,u,m-1,-m)}let v=0,_=1,j=0;for(this[s]=255&i;++v>0)-j&255;return s+u},Buffer.prototype.writeIntBE=function writeIntBE(i,s,u,m){if(i=+i,s>>>=0,!m){const m=Math.pow(2,8*u-1);checkInt(this,i,s,u,m-1,-m)}let v=u-1,_=1,j=0;for(this[s+v]=255&i;--v>=0&&(_*=256);)i<0&&0===j&&0!==this[s+v+1]&&(j=1),this[s+v]=(i/_>>0)-j&255;return s+u},Buffer.prototype.writeInt8=function writeInt8(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,1,127,-128),i<0&&(i=255+i+1),this[s]=255&i,s+1},Buffer.prototype.writeInt16LE=function writeInt16LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,32767,-32768),this[s]=255&i,this[s+1]=i>>>8,s+2},Buffer.prototype.writeInt16BE=function writeInt16BE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,2,32767,-32768),this[s]=i>>>8,this[s+1]=255&i,s+2},Buffer.prototype.writeInt32LE=function writeInt32LE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,4,2147483647,-2147483648),this[s]=255&i,this[s+1]=i>>>8,this[s+2]=i>>>16,this[s+3]=i>>>24,s+4},Buffer.prototype.writeInt32BE=function writeInt32BE(i,s,u){return i=+i,s>>>=0,u||checkInt(this,i,s,4,2147483647,-2147483648),i<0&&(i=4294967295+i+1),this[s]=i>>>24,this[s+1]=i>>>16,this[s+2]=i>>>8,this[s+3]=255&i,s+4},Buffer.prototype.writeBigInt64LE=defineBigIntMethod((function writeBigInt64LE(i,s=0){return wrtBigUInt64LE(this,i,s,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))})),Buffer.prototype.writeBigInt64BE=defineBigIntMethod((function writeBigInt64BE(i,s=0){return wrtBigUInt64BE(this,i,s,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))})),Buffer.prototype.writeFloatLE=function writeFloatLE(i,s,u){return writeFloat(this,i,s,!0,u)},Buffer.prototype.writeFloatBE=function writeFloatBE(i,s,u){return writeFloat(this,i,s,!1,u)},Buffer.prototype.writeDoubleLE=function writeDoubleLE(i,s,u){return writeDouble(this,i,s,!0,u)},Buffer.prototype.writeDoubleBE=function writeDoubleBE(i,s,u){return writeDouble(this,i,s,!1,u)},Buffer.prototype.copy=function copy(i,s,u,m){if(!Buffer.isBuffer(i))throw new TypeError(\"argument should be a Buffer\");if(u||(u=0),m||0===m||(m=this.length),s>=i.length&&(s=i.length),s||(s=0),m>0&&m=this.length)throw new RangeError(\"Index out of range\");if(m<0)throw new RangeError(\"sourceEnd out of bounds\");m>this.length&&(m=this.length),i.length-s>>=0,u=void 0===u?this.length:u>>>0,i||(i=0),\"number\"==typeof i)for(v=s;v=m+4;u-=3)s=`_${i.slice(u-3,u)}${s}`;return`${i.slice(0,u)}${s}`}function checkIntBI(i,s,u,m,v,_){if(i>u||i3?0===s||s===BigInt(0)?`>= 0${m} and < 2${m} ** ${8*(_+1)}${m}`:`>= -(2${m} ** ${8*(_+1)-1}${m}) and < 2 ** ${8*(_+1)-1}${m}`:`>= ${s}${m} and <= ${u}${m}`,new $.ERR_OUT_OF_RANGE(\"value\",v,i)}!function checkBounds(i,s,u){validateNumber(s,\"offset\"),void 0!==i[s]&&void 0!==i[s+u]||boundsError(s,i.length-(u+1))}(m,v,_)}function 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de=ee>>>pe&$;le=le.array[de]=editableVNode(le.array[de],m)}le.array[ee>>>j&$]=ae}if(W<_&&(ce=ce&&ce.removeAfter(m,0,W)),M>=ie)M-=ie,W-=ie,X=j,Y=null,ce=ce&&ce.removeBefore(m,0,M);else if(M>v||ie>>X&$;if(fe!==ie>>>X&$)break;fe&&(Z+=(1<v&&(Y=Y.removeBefore(m,X,M-Z)),Y&&iev&&(v=M.size),isIterable(j)||(M=M.map((function(i){return fromJS(i)}))),m.push(M)}return v>i.size&&(i=i.setSize(v)),mergeIntoCollectionWith(i,s,m)}function getTailOffset(i){return i>>j<=M&&j.size>=2*_.size?(m=(v=j.filter((function(i,s){return void 0!==i&&$!==s}))).toKeyedSeq().map((function(i){return i[0]})).flip().toMap(),i.__ownerID&&(m.__ownerID=v.__ownerID=i.__ownerID)):(m=_.remove(s),v=$===j.size-1?j.pop():j.set($,void 0))}else if(X){if(u===j.get($)[1])return i;m=_,v=j.set($,[s,u])}else m=_.set(s,j.size),v=j.set(j.size,[s,u]);return i.__ownerID?(i.size=m.size,i._map=m,i._list=v,i.__hash=void 0,i):makeOrderedMap(m,v)}function ToKeyedSequence(i,s){this._iter=i,this._useKeys=s,this.size=i.size}function ToIndexedSequence(i){this._iter=i,this.size=i.size}function ToSetSequence(i){this._iter=i,this.size=i.size}function FromEntriesSequence(i){this._iter=i,this.size=i.size}function flipFactory(i){var s=makeSequence(i);return s._iter=i,s.size=i.size,s.flip=function(){return i},s.reverse=function(){var s=i.reverse.apply(this);return s.flip=function(){return i.reverse()},s},s.has=function(s){return i.includes(s)},s.includes=function(s){return i.has(s)},s.cacheResult=cacheResultThrough,s.__iterateUncached=function(s,u){var m=this;return i.__iterate((function(i,u){return!1!==s(u,i,m)}),u)},s.__iteratorUncached=function(s,u){if(s===ie){var m=i.__iterator(s,u);return new Iterator((function(){var i=m.next();if(!i.done){var s=i.value[0];i.value[0]=i.value[1],i.value[1]=s}return i}))}return i.__iterator(s===ee?Z:ee,u)},s}function mapFactory(i,s,u){var m=makeSequence(i);return m.size=i.size,m.has=function(s){return i.has(s)},m.get=function(m,v){var _=i.get(m,W);return _===W?v:s.call(u,_,m,i)},m.__iterateUncached=function(m,v){var _=this;return i.__iterate((function(i,v,j){return!1!==m(s.call(u,i,v,j),v,_)}),v)},m.__iteratorUncached=function(m,v){var _=i.__iterator(ie,v);return new Iterator((function(){var v=_.next();if(v.done)return v;var j=v.value,M=j[0];return iteratorValue(m,M,s.call(u,j[1],M,i),v)}))},m}function reverseFactory(i,s){var u=makeSequence(i);return u._iter=i,u.size=i.size,u.reverse=function(){return i},i.flip&&(u.flip=function(){var s=flipFactory(i);return s.reverse=function(){return i.flip()},s}),u.get=function(u,m){return i.get(s?u:-1-u,m)},u.has=function(u){return i.has(s?u:-1-u)},u.includes=function(s){return i.includes(s)},u.cacheResult=cacheResultThrough,u.__iterate=function(s,u){var m=this;return i.__iterate((function(i,u){return s(i,u,m)}),!u)},u.__iterator=function(s,u){return i.__iterator(s,!u)},u}function filterFactory(i,s,u,m){var v=makeSequence(i);return m&&(v.has=function(m){var v=i.get(m,W);return v!==W&&!!s.call(u,v,m,i)},v.get=function(m,v){var _=i.get(m,W);return _!==W&&s.call(u,_,m,i)?_:v}),v.__iterateUncached=function(v,_){var j=this,M=0;return i.__iterate((function(i,_,$){if(s.call(u,i,_,$))return M++,v(i,m?_:M-1,j)}),_),M},v.__iteratorUncached=function(v,_){var j=i.__iterator(ie,_),M=0;return new Iterator((function(){for(;;){var _=j.next();if(_.done)return _;var $=_.value,W=$[0],X=$[1];if(s.call(u,X,W,i))return iteratorValue(v,m?W:M++,X,_)}}))},v}function countByFactory(i,s,u){var m=Map().asMutable();return i.__iterate((function(v,_){m.update(s.call(u,v,_,i),0,(function(i){return i+1}))})),m.asImmutable()}function groupByFactory(i,s,u){var m=isKeyed(i),v=(isOrdered(i)?OrderedMap():Map()).asMutable();i.__iterate((function(_,j){v.update(s.call(u,_,j,i),(function(i){return(i=i||[]).push(m?[j,_]:_),i}))}));var _=iterableClass(i);return v.map((function(s){return reify(i,_(s))}))}function sliceFactory(i,s,u,m){var v=i.size;if(void 0!==s&&(s|=0),void 0!==u&&(u===1/0?u=v:u|=0),wholeSlice(s,u,v))return i;var _=resolveBegin(s,v),j=resolveEnd(u,v);if(_!=_||j!=j)return sliceFactory(i.toSeq().cacheResult(),s,u,m);var M,$=j-_;$==$&&(M=$<0?0:$);var W=makeSequence(i);return W.size=0===M?M:i.size&&M||void 0,!m&&isSeq(i)&&M>=0&&(W.get=function(s,u){return(s=wrapIndex(this,s))>=0&&sM)return iteratorDone();var i=v.next();return m||s===ee?i:iteratorValue(s,$-1,s===Z?void 0:i.value[1],i)}))},W}function takeWhileFactory(i,s,u){var m=makeSequence(i);return m.__iterateUncached=function(m,v){var _=this;if(v)return this.cacheResult().__iterate(m,v);var j=0;return i.__iterate((function(i,v,M){return s.call(u,i,v,M)&&++j&&m(i,v,_)})),j},m.__iteratorUncached=function(m,v){var _=this;if(v)return this.cacheResult().__iterator(m,v);var j=i.__iterator(ie,v),M=!0;return new Iterator((function(){if(!M)return iteratorDone();var i=j.next();if(i.done)return i;var v=i.value,$=v[0],W=v[1];return s.call(u,W,$,_)?m===ie?i:iteratorValue(m,$,W,i):(M=!1,iteratorDone())}))},m}function skipWhileFactory(i,s,u,m){var v=makeSequence(i);return v.__iterateUncached=function(v,_){var j=this;if(_)return this.cacheResult().__iterate(v,_);var M=!0,$=0;return i.__iterate((function(i,_,W){if(!M||!(M=s.call(u,i,_,W)))return $++,v(i,m?_:$-1,j)})),$},v.__iteratorUncached=function(v,_){var j=this;if(_)return this.cacheResult().__iterator(v,_);var M=i.__iterator(ie,_),$=!0,W=0;return new Iterator((function(){var i,_,X;do{if((i=M.next()).done)return m||v===ee?i:iteratorValue(v,W++,v===Z?void 0:i.value[1],i);var Y=i.value;_=Y[0],X=Y[1],$&&($=s.call(u,X,_,j))}while($);return v===ie?i:iteratorValue(v,_,X,i)}))},v}function concatFactory(i,s){var u=isKeyed(i),m=[i].concat(s).map((function(i){return isIterable(i)?u&&(i=KeyedIterable(i)):i=u?keyedSeqFromValue(i):indexedSeqFromValue(Array.isArray(i)?i:[i]),i})).filter((function(i){return 0!==i.size}));if(0===m.length)return i;if(1===m.length){var v=m[0];if(v===i||u&&isKeyed(v)||isIndexed(i)&&isIndexed(v))return v}var _=new ArraySeq(m);return u?_=_.toKeyedSeq():isIndexed(i)||(_=_.toSetSeq()),(_=_.flatten(!0)).size=m.reduce((function(i,s){if(void 0!==i){var u=s.size;if(void 0!==u)return i+u}}),0),_}function flattenFactory(i,s,u){var m=makeSequence(i);return m.__iterateUncached=function(m,v){var _=0,j=!1;function flatDeep(i,M){var $=this;i.__iterate((function(i,v){return(!s||M0}function zipWithFactory(i,s,u){var m=makeSequence(i);return m.size=new ArraySeq(u).map((function(i){return i.size})).min(),m.__iterate=function(i,s){for(var u,m=this.__iterator(ee,s),v=0;!(u=m.next()).done&&!1!==i(u.value,v++,this););return v},m.__iteratorUncached=function(i,m){var v=u.map((function(i){return i=Iterable(i),getIterator(m?i.reverse():i)})),_=0,j=!1;return new Iterator((function(){var u;return j||(u=v.map((function(i){return i.next()})),j=u.some((function(i){return i.done}))),j?iteratorDone():iteratorValue(i,_++,s.apply(null,u.map((function(i){return i.value}))))}))},m}function reify(i,s){return isSeq(i)?s:i.constructor(s)}function validateEntry(i){if(i!==Object(i))throw new TypeError(\"Expected [K, V] tuple: \"+i)}function resolveSize(i){return assertNotInfinite(i.size),ensureSize(i)}function iterableClass(i){return isKeyed(i)?KeyedIterable:isIndexed(i)?IndexedIterable:SetIterable}function makeSequence(i){return Object.create((isKeyed(i)?KeyedSeq:isIndexed(i)?IndexedSeq:SetSeq).prototype)}function cacheResultThrough(){return this._iter.cacheResult?(this._iter.cacheResult(),this.size=this._iter.size,this):Seq.prototype.cacheResult.call(this)}function defaultComparator(i,s){return i>s?1:i=0;u--)s={value:arguments[u],next:s};return this.__ownerID?(this.size=i,this._head=s,this.__hash=void 0,this.__altered=!0,this):makeStack(i,s)},Stack.prototype.pushAll=function(i){if(0===(i=IndexedIterable(i)).size)return this;assertNotInfinite(i.size);var s=this.size,u=this._head;return i.reverse().forEach((function(i){s++,u={value:i,next:u}})),this.__ownerID?(this.size=s,this._head=u,this.__hash=void 0,this.__altered=!0,this):makeStack(s,u)},Stack.prototype.pop=function(){return this.slice(1)},Stack.prototype.unshift=function(){return this.push.apply(this,arguments)},Stack.prototype.unshiftAll=function(i){return this.pushAll(i)},Stack.prototype.shift=function(){return this.pop.apply(this,arguments)},Stack.prototype.clear=function(){return 0===this.size?this:this.__ownerID?(this.size=0,this._head=void 0,this.__hash=void 0,this.__altered=!0,this):emptyStack()},Stack.prototype.slice=function(i,s){if(wholeSlice(i,s,this.size))return this;var u=resolveBegin(i,this.size);if(resolveEnd(s,this.size)!==this.size)return IndexedCollection.prototype.slice.call(this,i,s);for(var m=this.size-u,v=this._head;u--;)v=v.next;return this.__ownerID?(this.size=m,this._head=v,this.__hash=void 0,this.__altered=!0,this):makeStack(m,v)},Stack.prototype.__ensureOwner=function(i){return i===this.__ownerID?this:i?makeStack(this.size,this._head,i,this.__hash):(this.__ownerID=i,this.__altered=!1,this)},Stack.prototype.__iterate=function(i,s){if(s)return this.reverse().__iterate(i);for(var u=0,m=this._head;m&&!1!==i(m.value,u++,this);)m=m.next;return u},Stack.prototype.__iterator=function(i,s){if(s)return this.reverse().__iterator(i);var u=0,m=this._head;return new Iterator((function(){if(m){var s=m.value;return m=m.next,iteratorValue(i,u++,s)}return iteratorDone()}))},Stack.isStack=isStack;var pt,ht=\"@@__IMMUTABLE_STACK__@@\",dt=Stack.prototype;function makeStack(i,s,u,m){var v=Object.create(dt);return v.size=i,v._head=s,v.__ownerID=u,v.__hash=m,v.__altered=!1,v}function emptyStack(){return pt||(pt=makeStack(0))}function mixin(i,s){var keyCopier=function(u){i.prototype[u]=s[u]};return Object.keys(s).forEach(keyCopier),Object.getOwnPropertySymbols&&Object.getOwnPropertySymbols(s).forEach(keyCopier),i}dt[ht]=!0,dt.withMutations=He.withMutations,dt.asMutable=He.asMutable,dt.asImmutable=He.asImmutable,dt.wasAltered=He.wasAltered,Iterable.Iterator=Iterator,mixin(Iterable,{toArray:function(){assertNotInfinite(this.size);var i=new Array(this.size||0);return this.valueSeq().__iterate((function(s,u){i[u]=s})),i},toIndexedSeq:function(){return new ToIndexedSequence(this)},toJS:function(){return this.toSeq().map((function(i){return i&&\"function\"==typeof i.toJS?i.toJS():i})).__toJS()},toJSON:function(){return this.toSeq().map((function(i){return i&&\"function\"==typeof i.toJSON?i.toJSON():i})).__toJS()},toKeyedSeq:function(){return new ToKeyedSequence(this,!0)},toMap:function(){return Map(this.toKeyedSeq())},toObject:function(){assertNotInfinite(this.size);var i={};return this.__iterate((function(s,u){i[u]=s})),i},toOrderedMap:function(){return OrderedMap(this.toKeyedSeq())},toOrderedSet:function(){return OrderedSet(isKeyed(this)?this.valueSeq():this)},toSet:function(){return Set(isKeyed(this)?this.valueSeq():this)},toSetSeq:function(){return new ToSetSequence(this)},toSeq:function(){return isIndexed(this)?this.toIndexedSeq():isKeyed(this)?this.toKeyedSeq():this.toSetSeq()},toStack:function(){return Stack(isKeyed(this)?this.valueSeq():this)},toList:function(){return List(isKeyed(this)?this.valueSeq():this)},toString:function(){return\"[Iterable]\"},__toString:function(i,s){return 0===this.size?i+s:i+\" \"+this.toSeq().map(this.__toStringMapper).join(\", \")+\" \"+s},concat:function(){return reify(this,concatFactory(this,i.call(arguments,0)))},includes:function(i){return this.some((function(s){return is(s,i)}))},entries:function(){return this.__iterator(ie)},every:function(i,s){assertNotInfinite(this.size);var u=!0;return this.__iterate((function(m,v,_){if(!i.call(s,m,v,_))return u=!1,!1})),u},filter:function(i,s){return 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i.writeInt32BE(this._a,0),i.writeInt32BE(this._b,4),i.writeInt32BE(this._c,8),i.writeInt32BE(this._d,12),i.writeInt32BE(this._e,16),i.writeInt32BE(this._f,20),i.writeInt32BE(this._g,24),i.writeInt32BE(this._h,28),i},i.exports=Sha256},51686:(i,s,u)=>{var m=u(35717),v=u(87816),_=u(24189),j=u(89509).Buffer,M=new Array(160);function Sha384(){this.init(),this._w=M,_.call(this,128,112)}m(Sha384,v),Sha384.prototype.init=function(){return this._ah=3418070365,this._bh=1654270250,this._ch=2438529370,this._dh=355462360,this._eh=1731405415,this._fh=2394180231,this._gh=3675008525,this._hh=1203062813,this._al=3238371032,this._bl=914150663,this._cl=812702999,this._dl=4144912697,this._el=4290775857,this._fl=1750603025,this._gl=1694076839,this._hl=3204075428,this},Sha384.prototype._hash=function(){var i=j.allocUnsafe(48);function writeInt64BE(s,u,m){i.writeInt32BE(s,m),i.writeInt32BE(u,m+4)}return 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m=u(35717),v=u(24189),_=u(89509).Buffer,j=[1116352408,3609767458,1899447441,602891725,3049323471,3964484399,3921009573,2173295548,961987163,4081628472,1508970993,3053834265,2453635748,2937671579,2870763221,3664609560,3624381080,2734883394,310598401,1164996542,607225278,1323610764,1426881987,3590304994,1925078388,4068182383,2162078206,991336113,2614888103,633803317,3248222580,3479774868,3835390401,2666613458,4022224774,944711139,264347078,2341262773,604807628,2007800933,770255983,1495990901,1249150122,1856431235,1555081692,3175218132,1996064986,2198950837,2554220882,3999719339,2821834349,766784016,2952996808,2566594879,3210313671,3203337956,3336571891,1034457026,3584528711,2466948901,113926993,3758326383,338241895,168717936,666307205,1188179964,773529912,1546045734,1294757372,1522805485,1396182291,2643833823,1695183700,2343527390,1986661051,1014477480,2177026350,1206759142,2456956037,344077627,2730485921,1290863460,2820302411,3158454273,3259730800,3505952657,3345764771,106217008,3516065817,3606008344,3600352804,1432725776,4094571909,1467031594,275423344,851169720,430227734,3100823752,506948616,1363258195,659060556,3750685593,883997877,3785050280,958139571,3318307427,1322822218,3812723403,1537002063,2003034995,1747873779,3602036899,1955562222,1575990012,2024104815,1125592928,2227730452,2716904306,2361852424,442776044,2428436474,593698344,2756734187,3733110249,3204031479,2999351573,3329325298,3815920427,3391569614,3928383900,3515267271,566280711,3940187606,3454069534,4118630271,4000239992,116418474,1914138554,174292421,2731055270,289380356,3203993006,460393269,320620315,685471733,587496836,852142971,1086792851,1017036298,365543100,1126000580,2618297676,1288033470,3409855158,1501505948,4234509866,1607167915,987167468,1816402316,1246189591],M=new Array(160);function Sha512(){this.init(),this._w=M,v.call(this,128,112)}function Ch(i,s,u){return u^i&(s^u)}function maj(i,s,u){return i&s|u&(i|s)}function sigma0(i,s){return(i>>>28|s<<4)^(s>>>2|i<<30)^(s>>>7|i<<25)}function sigma1(i,s){return(i>>>14|s<<18)^(i>>>18|s<<14)^(s>>>9|i<<23)}function Gamma0(i,s){return(i>>>1|s<<31)^(i>>>8|s<<24)^i>>>7}function Gamma0l(i,s){return(i>>>1|s<<31)^(i>>>8|s<<24)^(i>>>7|s<<25)}function Gamma1(i,s){return(i>>>19|s<<13)^(s>>>29|i<<3)^i>>>6}function Gamma1l(i,s){return(i>>>19|s<<13)^(s>>>29|i<<3)^(i>>>6|s<<26)}function getCarry(i,s){return i>>>0>>0?1:0}m(Sha512,v),Sha512.prototype.init=function(){return 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ze=0;ze<160;ze+=2){qe=s[ze],Re=s[ze+1];var Ve=maj(u,m,v),We=maj(Y,Z,ee),He=sigma0(u,Y),Xe=sigma0(Y,u),Ye=sigma1(M,ae),Qe=sigma1(ae,M),et=j[ze],tt=j[ze+1],rt=Ch(M,$,W),nt=Ch(ae,ce,le),ot=pe+Qe|0,it=X+Ye+getCarry(ot,pe)|0;it=(it=(it=it+rt+getCarry(ot=ot+nt|0,nt)|0)+et+getCarry(ot=ot+tt|0,tt)|0)+qe+getCarry(ot=ot+Re|0,Re)|0;var at=Xe+We|0,st=He+Ve+getCarry(at,Xe)|0;X=W,pe=le,W=$,le=ce,$=M,ce=ae,M=_+it+getCarry(ae=ie+ot|0,ie)|0,_=v,ie=ee,v=m,ee=Z,m=u,Z=Y,u=it+st+getCarry(Y=ot+at|0,ot)|0}this._al=this._al+Y|0,this._bl=this._bl+Z|0,this._cl=this._cl+ee|0,this._dl=this._dl+ie|0,this._el=this._el+ae|0,this._fl=this._fl+ce|0,this._gl=this._gl+le|0,this._hl=this._hl+pe|0,this._ah=this._ah+u+getCarry(this._al,Y)|0,this._bh=this._bh+m+getCarry(this._bl,Z)|0,this._ch=this._ch+v+getCarry(this._cl,ee)|0,this._dh=this._dh+_+getCarry(this._dl,ie)|0,this._eh=this._eh+M+getCarry(this._el,ae)|0,this._fh=this._fh+$+getCarry(this._fl,ce)|0,this._gh=this._gh+W+getCarry(this._gl,le)|0,this._hh=this._hh+X+getCarry(this._hl,pe)|0},Sha512.prototype._hash=function(){var i=_.allocUnsafe(64);function writeInt64BE(s,u,m){i.writeInt32BE(s,m),i.writeInt32BE(u,m+4)}return writeInt64BE(this._ah,this._al,0),writeInt64BE(this._bh,this._bl,8),writeInt64BE(this._ch,this._cl,16),writeInt64BE(this._dh,this._dl,24),writeInt64BE(this._eh,this._el,32),writeInt64BE(this._fh,this._fl,40),writeInt64BE(this._gh,this._gl,48),writeInt64BE(this._hh,this._hl,56),i},i.exports=Sha512},37478:(i,s,u)=>{\"use strict\";var m=u(40210),v=u(21924),_=u(70631),j=m(\"%TypeError%\"),M=m(\"%WeakMap%\",!0),$=m(\"%Map%\",!0),W=v(\"WeakMap.prototype.get\",!0),X=v(\"WeakMap.prototype.set\",!0),Y=v(\"WeakMap.prototype.has\",!0),Z=v(\"Map.prototype.get\",!0),ee=v(\"Map.prototype.set\",!0),ie=v(\"Map.prototype.has\",!0),listGetNode=function(i,s){for(var u,m=i;null!==(u=m.next);m=u)if(u.key===s)return m.next=u.next,u.next=i.next,i.next=u,u};i.exports=function getSideChannel(){var i,s,u,m={assert:function(i){if(!m.has(i))throw new j(\"Side channel does not contain \"+_(i))},get:function(m){if(M&&m&&(\"object\"==typeof m||\"function\"==typeof m)){if(i)return W(i,m)}else if($){if(s)return 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