SYMBOL INDEX (31 symbols across 4 files) FILE: classical_renderer/scatter.py function cupy_kernel (line 55) | def cupy_kernel(strFunction, objVariables): function cupy_launch (line 115) | def cupy_launch(strFunction, strKernel): class _FunctionRender (line 120) | class _FunctionRender(torch.autograd.Function): method forward (line 122) | def forward(self, image, defocus): function FunctionRender (line 165) | def FunctionRender(image, defocus): class ModuleRenderScatter (line 172) | class ModuleRenderScatter(torch.nn.Module): method __init__ (line 173) | def __init__(self): method forward (line 177) | def forward(self, image, defocus): FILE: classical_renderer/scatter_ex.py function cupy_kernel (line 67) | def cupy_kernel(strFunction, objVariables): function cupy_launch (line 128) | def cupy_launch(strFunction, strKernel): class _FunctionRender (line 134) | class _FunctionRender(torch.autograd.Function): method forward (line 136) | def forward(self, image, defocus, poly_sides, init_angle): function FunctionRender (line 182) | def FunctionRender(image, defocus, poly_sides, init_angle): class ModuleRenderScatterEX (line 188) | class ModuleRenderScatterEX(torch.nn.Module): method __init__ (line 189) | def __init__(self): method forward (line 193) | def forward(self, image, defocus, poly_sides=10000, init_angle=3.14159... FILE: demo.py function gaussian_blur (line 22) | def gaussian_blur(x, r, sigma=None): function pipeline (line 35) | def pipeline(classical_renderer, arnet, iunet, image, defocus, gamma, ar... FILE: neural_renderer.py class Space2Depth (line 12) | class Space2Depth(nn.Module): method __init__ (line 13) | def __init__(self, down_factor): method forward (line 17) | def forward(self, x): function conv_bn_activation (line 23) | def conv_bn_activation(in_channels, out_channels, kernel_size, stride, p... class BlockStack (line 33) | class BlockStack(nn.Module): method __init__ (line 34) | def __init__(self, channels, num_block, share_weight, connect_mode, us... method forward (line 79) | def forward(self, x): class ARNet (line 96) | class ARNet(nn.Module): # Adaptive Rendering Network method __init__ (line 97) | def __init__(self, shuffle_rate=2, in_channels=5, out_channels=4, midd... method forward (line 133) | def forward(self, image, defocus, gamma): class IUNet (line 154) | class IUNet(nn.Module): # Iterative Upsampling Network method __init__ (line 155) | def __init__(self, shuffle_rate=2, in_channels=8, out_channels=3, midd... method forward (line 191) | def forward(self, image, defocus, bokeh_coarse, gamma):