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github.com/apple/ml-facelit
/ types & classes
Types & classes
71 in github.com/apple/ml-facelit
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Functions
451
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Types & classes
71
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Endpoints
5
↓ 12 callers
Class
FullyConnectedLayer
facelit/training/networks_stylegan2.py:96
↓ 8 callers
Class
Conv2dLayer
facelit/training/networks_stylegan2.py:135
↓ 8 callers
Class
SynthesisBlock
facelit/training/networks_stylegan2.py:365
↓ 6 callers
Class
MappingNetwork
facelit/training/networks_stylegan2.py:193
↓ 5 callers
Class
DiscriminatorBlock
facelit/training/networks_stylegan2.py:557
↓ 5 callers
Class
DiscriminatorEpilogue
facelit/training/networks_stylegan2.py:675
↓ 4 callers
Class
FullyConnectedLayer
facelit/training/networks_stylegan3.py:71
↓ 4 callers
Class
SynthesisLayer
facelit/training/networks_stylegan2.py:276
↓ 3 callers
Class
FeatureStats
facelit/metrics/metric_utils.py:73
↓ 3 callers
Class
SynthesisBlockNoUp
facelit/training/superresolution.py:158
↓ 3 callers
Class
TriPlaneGenerator
facelit/training/triplane.py:21
↓ 2 callers
Class
LightSampler
facelit/light_utils.py:8
↓ 2 callers
Class
ProgressMonitor
facelit/metrics/metric_utils.py:153
↓ 2 callers
Class
ToRGBLayer
facelit/training/networks_stylegan2.py:340
↓ 1 callers
Class
DecaSampler
facelit/deca_utils.py:9
↓ 1 callers
Class
DiffuseDecoder
facelit/training/triplane.py:204
↓ 1 callers
Class
ImportanceRenderer
facelit/training/volumetric_rendering/renderer.py:120
↓ 1 callers
Class
MappingNetwork
facelit/training/networks_stylegan3.py:111
↓ 1 callers
Class
MinibatchStdLayer
facelit/training/networks_stylegan2.py:646
↓ 1 callers
Class
MipRayMarcher2
facelit/training/volumetric_rendering/ray_marcher.py:20
↓ 1 callers
Class
OSGDecoder
facelit/training/triplane.py:175
↓ 1 callers
Class
PPLSampler
facelit/metrics/perceptual_path_length.py:37
↓ 1 callers
Class
RaySampler
facelit/training/volumetric_rendering/ray_sampler.py:18
↓ 1 callers
Class
SpecularDiffuseDecoder
facelit/training/triplane.py:231
↓ 1 callers
Class
SynthesisInput
facelit/training/networks_stylegan3.py:171
↓ 1 callers
Class
SynthesisLayer
facelit/training/networks_stylegan3.py:255
↓ 1 callers
Class
SynthesisNetwork
facelit/training/networks_stylegan3.py:401
↓ 1 callers
Class
SynthesisNetwork
facelit/training/networks_stylegan2.py:469
↓ 1 callers
Class
_LegacyUnpickler
facelit/legacy.py:67
Class
AugmentPipe
facelit/training/augment.py:124
Class
BiasActCuda
facelit/torch_utils/ops/bias_act.py:144
Class
BiasActCudaGrad
facelit/torch_utils/ops/bias_act.py:177
Class
Collector
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
Class
Conv2d
facelit/torch_utils/ops/conv2d_gradfix.py:107
Class
Conv2dGradWeight
facelit/torch_utils/ops/conv2d_gradfix.py:155
Class
Dataset
facelit/training/dataset.py:28
Class
Decorator
facelit/torch_utils/persistence.py:101
Class
Discriminator
facelit/training/networks_stylegan2.py:736
Class
DualDiscriminator
facelit/training/dual_discriminator.py:107
Class
DummyDualDiscriminator
facelit/training/dual_discriminator.py:179
Class
EasyDict
Convenience class that behaves like a dict but allows access with the attribute syntax.
facelit/dnnlib/util.py:42
Class
FilteredLReluCuda
facelit/torch_utils/ops/filtered_lrelu.py:180
Class
GaussianCameraPoseSampler
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
Class
Generator
facelit/training/networks_stylegan3.py:492
Class
Generator
facelit/training/networks_stylegan2.py:529
Class
ImageFolderDataset
facelit/training/dataset.py:171
Class
InfiniteSampler
facelit/torch_utils/misc.py:113
Class
Logger
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
Class
LookAtPoseSampler
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
Class
Loss
facelit/training/loss.py:22
Class
MetricOptions
facelit/metrics/metric_utils.py:25
Class
QuadrupleDiscriminator
facelit/training/dual_discriminator.py:251
Class
SingleDiscriminator
facelit/training/dual_discriminator.py:21
Class
StyleGAN2Loss
facelit/training/loss.py:28
Class
SuperresolutionHybrid2X
facelit/training/superresolution.py:94
Class
SuperresolutionHybrid4X
facelit/training/superresolution.py:62
Class
SuperresolutionHybrid8X
facelit/training/superresolution.py:29
Class
SuperresolutionHybrid8XDC
facelit/training/superresolution.py:264
Class
SuperresolutionHybridDeepfp32
facelit/training/superresolution.py:127
Class
UniformCameraPoseSampler
Same as GaussianCameraPoseSampler, except the pose is sampled from a uniform distribution with range +-[horizontal/vertical]_stddev. Exa
facelit/camera_utils.py:90
Class
Upfirdn2dCuda
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
Class
bias_act_kernel_params
facelit/torch_utils/ops/bias_act.h:16
Class
filtered_lrelu_act_kernel_params
facelit/torch_utils/ops/filtered_lrelu.h:59
Class
filtered_lrelu_kernel_params
facelit/torch_utils/ops/filtered_lrelu.h:18
Class
filtered_lrelu_kernel_spec
facelit/torch_utils/ops/filtered_lrelu.h:77
Class
upfirdn2d_kernel_params
facelit/torch_utils/ops/upfirdn2d.h:18
Class
upfirdn2d_kernel_spec
facelit/torch_utils/ops/upfirdn2d.h:49