Types & classes — github.com/YorkUCVIL/Wavelet-Flow

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Types & classes42 in github.com/YorkUCVIL/Wavelet-Flow

⨍ Functions 227◇ Types & classes 42

↓ 5 callersClassNetwork_body

src/models/ffhq_1024_haar/Network_body.py:8

↓ 3 callersClassOpenai_conv

open ai style conv act norm will be included in the future

src/tf_components/openai_conv.py:7

↓ 3 callersClassValidation_data

src/models/ffhq_1024_haar/Validation_data.py:5

↓ 2 callersClassAct_norm

src/tf_components/bijector/Act_norm.py:5

↓ 2 callersClassHaar_squeeze_split

combined haar decomp and then spit low-pass from detais

src/tf_components/bijector/Haar_squeeze_split.py:7

↓ 2 callersClassSingle_scale_flow

src/models/shared/Single_scale_flow.py:10

↓ 1 callersClassConditioning_network

src/models/imagenet_32_haar/Conditioning_network.py:4

↓ 1 callersClassConditioning_network

src/models/ffhq_1024_haar/Conditioning_network.py:4

↓ 1 callersClassConditioning_network

src/models/celeba_1024_haar/Conditioning_network.py:4

↓ 1 callersClassConditioning_network

src/models/lsun_bedroom_64_haar/Conditioning_network.py:4

↓ 1 callersClassConditioning_network

src/models/imagenet_64_haar/Conditioning_network.py:4

↓ 1 callersClassContainer

src/util/to_attributes.py:8

↓ 1 callersClassCoupling

src/tf_components/bijector/Coupling.py:31

↓ 1 callersClassCoupling_res_block

src/tf_components/bijector/Coupling.py:8

↓ 1 callersClassHaar_split

seperates out low pass and detail coefficients from haar

src/tf_components/bijector/Haar_split.py:4

↓ 1 callersClassHaar_squeeze

does haar decomposition, x4 channels, 1/2 spatial resolution

src/tf_components/bijector/Haar_squeeze.py:6

↓ 1 callersClassInvertible_1x1_lu

src/tf_components/bijector/Invertible_1x1.py:14

↓ 1 callersClassInvertible_1x1_matrix

src/tf_components/bijector/Invertible_1x1.py:99

↓ 1 callersClassMulti_step

src/tf_components/bijector/Multi_step.py:7

↓ 1 callersClassNetwork_body

src/models/imagenet_32_haar/Network_body.py:8

↓ 1 callersClassNetwork_body

src/models/celeba_1024_haar/Network_body.py:8

↓ 1 callersClassNetwork_body

src/models/lsun_bedroom_64_haar/Network_body.py:8

↓ 1 callersClassNetwork_body

src/models/imagenet_64_haar/Network_body.py:8

↓ 1 callersClassOpenai_zero_conv

open ai style conv

src/tf_components/openai_zero_conv.py:6

↓ 1 callersClassSqueeze_2d_half

src/tf_components/bijector/Squeeze_2d_half.py:5

↓ 1 callersClassStep

src/tf_components/bijector/Step.py:7

↓ 1 callersClassTraining_data

src/models/imagenet_32_haar/Training_data.py:5

↓ 1 callersClassTraining_data

src/models/ffhq_1024_haar/Training_data.py:5

↓ 1 callersClassTraining_data

src/models/celeba_1024_haar/Training_data.py:5

↓ 1 callersClassTraining_data

src/models/lsun_bedroom_64_haar/Training_data.py:5

↓ 1 callersClassTraining_data

src/models/imagenet_64_haar/Training_data.py:5

↓ 1 callersClassValidation_data

src/models/imagenet_32_haar/Validation_data.py:5

↓ 1 callersClassValidation_data

src/models/celeba_1024_haar/Validation_data.py:5

↓ 1 callersClassValidation_data

src/models/lsun_bedroom_64_haar/Validation_data.py:5

↓ 1 callersClassValidation_data

src/models/imagenet_64_haar/Validation_data.py:5

src/tf_components/bijector/Bijector.py:4

ClassElement_shift_scale

src/tf_components/bijector/Element_shift_scale.py:5

ClassHaar_pyramid

used stand alone, wavelet flow has its own internal pyramid

src/tf_components/bijector/Haar_pyramid.py:6

This is a shared class for layers with parameters should aid transition to TF 2.0

src/tf_components/Layer.py:3

ClassMulti_scale_flow

src/models/shared/Multi_scale_flow.py:6

ClassNormalizing_flow

src/models/shared/Normalizing_flow.py:4

ClassSqueeze_step

src/tf_components/bijector/Squeeze_step.py:6