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Types & classes71 in github.com/apple/ml-facelit

↓ 12 callersClassFullyConnectedLayer
facelit/training/networks_stylegan2.py:96
↓ 8 callersClassConv2dLayer
facelit/training/networks_stylegan2.py:135
↓ 8 callersClassSynthesisBlock
facelit/training/networks_stylegan2.py:365
↓ 6 callersClassMappingNetwork
facelit/training/networks_stylegan2.py:193
↓ 5 callersClassDiscriminatorBlock
facelit/training/networks_stylegan2.py:557
↓ 5 callersClassDiscriminatorEpilogue
facelit/training/networks_stylegan2.py:675
↓ 4 callersClassFullyConnectedLayer
facelit/training/networks_stylegan3.py:71
↓ 4 callersClassSynthesisLayer
facelit/training/networks_stylegan2.py:276
↓ 3 callersClassFeatureStats
facelit/metrics/metric_utils.py:73
↓ 3 callersClassSynthesisBlockNoUp
facelit/training/superresolution.py:158
↓ 3 callersClassTriPlaneGenerator
facelit/training/triplane.py:21
↓ 2 callersClassLightSampler
facelit/light_utils.py:8
↓ 2 callersClassProgressMonitor
facelit/metrics/metric_utils.py:153
↓ 2 callersClassToRGBLayer
facelit/training/networks_stylegan2.py:340
↓ 1 callersClassDecaSampler
facelit/deca_utils.py:9
↓ 1 callersClassDiffuseDecoder
facelit/training/triplane.py:204
↓ 1 callersClassImportanceRenderer
facelit/training/volumetric_rendering/renderer.py:120
↓ 1 callersClassMappingNetwork
facelit/training/networks_stylegan3.py:111
↓ 1 callersClassMinibatchStdLayer
facelit/training/networks_stylegan2.py:646
↓ 1 callersClassMipRayMarcher2
facelit/training/volumetric_rendering/ray_marcher.py:20
↓ 1 callersClassOSGDecoder
facelit/training/triplane.py:175
↓ 1 callersClassPPLSampler
facelit/metrics/perceptual_path_length.py:37
↓ 1 callersClassRaySampler
facelit/training/volumetric_rendering/ray_sampler.py:18
↓ 1 callersClassSpecularDiffuseDecoder
facelit/training/triplane.py:231
↓ 1 callersClassSynthesisInput
facelit/training/networks_stylegan3.py:171
↓ 1 callersClassSynthesisLayer
facelit/training/networks_stylegan3.py:255
↓ 1 callersClassSynthesisNetwork
facelit/training/networks_stylegan3.py:401
↓ 1 callersClassSynthesisNetwork
facelit/training/networks_stylegan2.py:469
↓ 1 callersClass_LegacyUnpickler
facelit/legacy.py:67
ClassAugmentPipe
facelit/training/augment.py:124
ClassBiasActCuda
facelit/torch_utils/ops/bias_act.py:144
ClassBiasActCudaGrad
facelit/torch_utils/ops/bias_act.py:177
ClassCollector
r"""Collects the scalars broadcasted by `report()` and `report0()` and computes their long-term averages (mean and standard deviation) over us
facelit/torch_utils/training_stats.py:115
ClassConv2d
facelit/torch_utils/ops/conv2d_gradfix.py:107
ClassConv2dGradWeight
facelit/torch_utils/ops/conv2d_gradfix.py:155
ClassDataset
facelit/training/dataset.py:28
ClassDecorator
facelit/torch_utils/persistence.py:101
ClassDiscriminator
facelit/training/networks_stylegan2.py:736
ClassDualDiscriminator
facelit/training/dual_discriminator.py:107
ClassDummyDualDiscriminator
facelit/training/dual_discriminator.py:179
ClassEasyDict
Convenience class that behaves like a dict but allows access with the attribute syntax.
facelit/dnnlib/util.py:42
ClassFilteredLReluCuda
facelit/torch_utils/ops/filtered_lrelu.py:180
ClassGaussianCameraPoseSampler
Samples pitch and yaw from a Gaussian distribution and returns a camera pose. Camera is specified as looking at the origin. If horizontal
facelit/camera_utils.py:24
ClassGenerator
facelit/training/networks_stylegan3.py:492
ClassGenerator
facelit/training/networks_stylegan2.py:529
ClassImageFolderDataset
facelit/training/dataset.py:171
ClassInfiniteSampler
facelit/torch_utils/misc.py:113
ClassLogger
Redirect stderr to stdout, optionally print stdout to a file, and optionally force flushing on both stdout and the file.
facelit/dnnlib/util.py:58
ClassLookAtPoseSampler
Same as GaussianCameraPoseSampler, except the camera is specified as looking at 'lookat_position', a 3-vector. Example: For a camera
facelit/camera_utils.py:60
ClassLoss
facelit/training/loss.py:22
ClassMetricOptions
facelit/metrics/metric_utils.py:25
ClassQuadrupleDiscriminator
facelit/training/dual_discriminator.py:251
ClassSingleDiscriminator
facelit/training/dual_discriminator.py:21
ClassStyleGAN2Loss
facelit/training/loss.py:28
ClassSuperresolutionHybrid2X
facelit/training/superresolution.py:94
ClassSuperresolutionHybrid4X
facelit/training/superresolution.py:62
ClassSuperresolutionHybrid8X
facelit/training/superresolution.py:29
ClassSuperresolutionHybrid8XDC
facelit/training/superresolution.py:264
ClassSuperresolutionHybridDeepfp32
facelit/training/superresolution.py:127
ClassUniformCameraPoseSampler
Same as GaussianCameraPoseSampler, except the pose is sampled from a uniform distribution with range +-[horizontal/vertical]_stddev. Exa
facelit/camera_utils.py:90
ClassUpfirdn2dCuda
facelit/torch_utils/ops/upfirdn2d.py:233
Class_FusedMultiplyAdd
facelit/torch_utils/ops/fma.py:22
Class_GridSample2dBackward
facelit/torch_utils/ops/grid_sample_gradfix.py:57
Class_GridSample2dForward
facelit/torch_utils/ops/grid_sample_gradfix.py:40
Class_TFNetworkStub
facelit/legacy.py:64
Classbias_act_kernel_params
facelit/torch_utils/ops/bias_act.h:16
Classfiltered_lrelu_act_kernel_params
facelit/torch_utils/ops/filtered_lrelu.h:59
Classfiltered_lrelu_kernel_params
facelit/torch_utils/ops/filtered_lrelu.h:18
Classfiltered_lrelu_kernel_spec
facelit/torch_utils/ops/filtered_lrelu.h:77
Classupfirdn2d_kernel_params
facelit/torch_utils/ops/upfirdn2d.h:18
Classupfirdn2d_kernel_spec
facelit/torch_utils/ops/upfirdn2d.h:49