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Types & classes40 in github.com/ali-vilab/dreamtalk

⨍ Functions 134◇ Types & classes 40
↓ 7 callersClassADAIN
generators/base_function.py:159
↓ 4 callersClassPositionalEncoding
core/networks/transformer.py:8
↓ 3 callersClassTransformerDecoder
core/networks/transformer.py:110
↓ 3 callersClassTransformerDecoderLayer
core/networks/transformer.py:208
↓ 3 callersClassTransformerEncoder
core/networks/transformer.py:89
↓ 3 callersClassTransformerEncoderLayer
core/networks/transformer.py:148
↓ 2 callersClassDiffusionNet
core/networks/diffusion_net.py:45
↓ 2 callersClassDynamicConv
core/networks/dynamic_conv.py:54
↓ 2 callersClassDynamicFCDecoderLayer
core/networks/dynamic_fc_decoder.py:8
↓ 2 callersClassDynamicLinear
core/networks/dynamic_linear.py:10
↓ 2 callersClassNoisePredictor
core/networks/diffusion_util.py:55
↓ 2 callersClassSelfAttentionPooling
Implementation of SelfAttentionPooling Original Paper: Self-Attention Encoding and Pooling for Speaker Recognition https://arxiv.org/pdf/
core/networks/self_attention_pooling.py:6
↓ 2 callersClassVarianceSchedule
core/networks/diffusion_util.py:9
↓ 1 callersClassADAINDecoder
docstring for ADAINDecoder
generators/base_function.py:64
↓ 1 callersClassADAINDecoderBlock
generators/base_function.py:111
↓ 1 callersClassADAINEncoder
generators/base_function.py:43
↓ 1 callersClassADAINEncoderBlock
generators/base_function.py:92
↓ 1 callersClassADAINHourglass
generators/base_function.py:31
↓ 1 callersClassAttention
core/networks/dynamic_conv.py:8
↓ 1 callersClassDecoder
core/networks/generator.py:215
↓ 1 callersClassDisentangleDecoder
core/networks/disentangle_decoder.py:77
↓ 1 callersClassDownBlock2d
generators/base_function.py:266
↓ 1 callersClassDynamicFCDecoder
core/networks/dynamic_fc_decoder.py:118
↓ 1 callersClassEditingNet
generators/face_model.py:102
↓ 1 callersClassFaceGenerator
generators/face_model.py:11
↓ 1 callersClassFinalBlock2d
Define the output layer
generators/base_function.py:350
↓ 1 callersClassFineADAINResBlock2d
Define an Residual block for different types
generators/base_function.py:327
↓ 1 callersClassFineADAINResBlocks
generators/base_function.py:298
↓ 1 callersClassFineDecoder
docstring for FineDecoder
generators/base_function.py:215
↓ 1 callersClassFineEncoder
docstring for Encoder
generators/base_function.py:193
↓ 1 callersClassFirstBlock2d
Downsampling block for use in encoder.
generators/base_function.py:247
↓ 1 callersClassJump
generators/base_function.py:312
↓ 1 callersClassMappingNet
generators/face_model.py:39
↓ 1 callersClassMish
Applies the mish function element-wise: mish(x) = x * tanh(softplus(x)) = x * tanh(ln(1 + exp(x))) Shape: - Input: (N, *) where
core/networks/mish.py:20
↓ 1 callersClassUpBlock2d
generators/base_function.py:284
↓ 1 callersClassWarpingNet
generators/face_model.py:65
ClassContentW2VEncoder
core/networks/generator.py:74
ClassLayerNorm2d
generators/base_function.py:11
ClassStyleEncoder
core/networks/generator.py:132
ClassTransformer
core/networks/transformer.py:45