Index

_

__call__() (GAN_CIFAR10_jax.Discriminator method), [1] (GAN_CIFAR10_jax.Discriminator_cond method), [1] (GAN_CIFAR10_jax.Generator method), [1] (GAN_CIFAR10_jax.Generator_cond method), [1]

A

alpha_Divergence_LT (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

avg_pool2d() (in module GAN_CIFAR10_tf), [1] (in module GAN_CIFAR10_torch), [1]

B

bounded (model_jax.Discriminator attribute) bounded_activation() (model_jax.Discriminator method), [1] (model_tf.Discriminator method), [1], [2], [3] (model_torch.BoundedActivation method), [1]

BoundedActivation (class in model_torch), [1] build() (GAN_CIFAR10_tf.Discriminator method), [1] (GAN_CIFAR10_tf.DiscriminatorBlock method), [1] (GAN_CIFAR10_tf.Generator method), [1] (GAN_CIFAR10_tf.GeneratorBlock method), [1]

C

call() (GAN_CIFAR10_tf.Discriminator method), [1], [2], [3] (GAN_CIFAR10_tf.DiscriminatorBlock method), [1], [2], [3] (GAN_CIFAR10_tf.Generator method), [1], [2], [3] (GAN_CIFAR10_tf.GeneratorBlock method), [1], [2], [3] (model_tf.Discriminator method), [1], [2], [3] (model_tf.DiscriminatorMNIST method), [1], [2], [3] (model_tf.Generator method), [1], [2], [3]

compute_output_shape() (GAN_CIFAR10_tf.GeneratorBlock method), [1]

D

DataLoader (class in Divergences_jax), [1] (class in GAN_jax) disc_train_step() (GAN_jax.GAN method), [1] (GAN_tf.GAN method), [1] (GAN_torch.GAN method), [1] discriminate() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] Discriminator (class in GAN_CIFAR10_jax), [1] (class in GAN_CIFAR10_tf), [1] (class in GAN_CIFAR10_torch), [1] (class in model_jax), [1] (class in model_tf), [1] (class in model_torch), [1] Discriminator_cond (class in GAN_CIFAR10_jax), [1] (class in GAN_CIFAR10_torch), [1] discriminator_loss() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] Discriminator_MNIST (class in GAN_MNIST_torch), [1] (class in model_torch), [1]

Discriminator_MNIST_cond (class in GAN_MNIST_jax), [1] (class in GAN_MNIST_torch), [1] Discriminator_MNIST_cond() (in module GAN_MNIST_tf), [1] Discriminator_Penalty (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] DiscriminatorBlock (class in GAN_CIFAR10_tf), [1] (class in GAN_CIFAR10_torch), [1] DiscriminatorMNIST (class in model_jax), [1] (class in model_tf), [1] Divergence (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] Divergences_jax module, [1] Divergences_tf module, [1] Divergences_torch module, [1]

E

estimate() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] estimate_loss() (GAN_jax.GAN method), [1] (GAN_tf.GAN method), [1] (GAN_torch.GAN method), [1] eval_var_formula() (Divergences_jax.Divergence method), [1] (Divergences_jax.f_Divergence method), [1] (Divergences_jax.IPM method), [1] (Divergences_jax.KLD_DV method), [1] (Divergences_jax.Pearson_chi_squared_HCR method), [1] (Divergences_jax.Renyi_Divergence_CC method), [1] (Divergences_jax.Renyi_Divergence_CC_rescaled method), [1] (Divergences_jax.Renyi_Divergence_DV method), [1] (Divergences_jax.Renyi_Divergence_WCR method), [1] (Divergences_tf.Divergence method), [1] (Divergences_tf.f_Divergence method), [1] (Divergences_tf.IPM method), [1] (Divergences_tf.KLD_DV method), [1] (Divergences_tf.Pearson_chi_squared_HCR method), [1] (Divergences_tf.Renyi_Divergence_CC method), [1] (Divergences_tf.Renyi_Divergence_CC_rescaled method), [1] (Divergences_tf.Renyi_Divergence_DV method), [1] (Divergences_tf.Renyi_Divergence_WCR method), [1] (Divergences_torch.Divergence method), [1] (Divergences_torch.f_Divergence method), [1] (Divergences_torch.IPM method), [1] (Divergences_torch.KLD_DV method), [1] (Divergences_torch.Pearson_chi_squared_HCR method), [1] (Divergences_torch.Renyi_Divergence_CC method), [1] (Divergences_torch.Renyi_Divergence_CC_rescaled method), [1] (Divergences_torch.Renyi_Divergence_DV method), [1] (Divergences_torch.Renyi_Divergence_WCR method), [1]

eval_var_formula_gen() (Divergences_jax.f_Divergence method), [1] (Divergences_jax.IPM method), [1] (Divergences_jax.KLD_DV method), [1] (Divergences_jax.Pearson_chi_squared_HCR method), [1] (Divergences_jax.Renyi_Divergence_CC method), [1] (Divergences_jax.Renyi_Divergence_CC_rescaled method), [1] (Divergences_jax.Renyi_Divergence_DV method), [1] (Divergences_jax.Renyi_Divergence_WCR method), [1] (Divergences_tf.f_Divergence method), [1] (Divergences_tf.IPM method), [1] (Divergences_tf.KLD_DV method), [1] (Divergences_tf.Pearson_chi_squared_HCR method), [1] (Divergences_tf.Renyi_Divergence_CC method), [1] (Divergences_tf.Renyi_Divergence_CC_rescaled method), [1] (Divergences_tf.Renyi_Divergence_DV method), [1] (Divergences_tf.Renyi_Divergence_WCR method), [1] (Divergences_torch.f_Divergence method), [1] (Divergences_torch.IPM method), [1] (Divergences_torch.KLD_DV method), [1] (Divergences_torch.Pearson_chi_squared_HCR method), [1] (Divergences_torch.Renyi_Divergence_CC method), [1] (Divergences_torch.Renyi_Divergence_CC_rescaled method), [1] (Divergences_torch.Renyi_Divergence_DV method), [1] (Divergences_torch.Renyi_Divergence_WCR method), [1] evaluate() (Divergences_jax.Discriminator_Penalty method), [1] (Divergences_jax.Gradient_Penalty_1Sided method), [1] (Divergences_jax.Gradient_Penalty_2Sided method), [1] (Divergences_tf.Discriminator_Penalty method), [1] (Divergences_tf.Gradient_Penalty_1Sided method), [1] (Divergences_tf.Gradient_Penalty_2Sided method), [1] (Divergences_torch.Discriminator_Penalty method), [1] (Divergences_torch.Gradient_Penalty_1Sided method), [1] (Divergences_torch.Gradient_Penalty_2Sided method), [1]

F

f_Divergence (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] f_star() (Divergences_jax.alpha_Divergence_LT method), [1] (Divergences_jax.f_Divergence method), [1] (Divergences_jax.Jensen_Shannon_LT method), [1] (Divergences_jax.KLD_LT method), [1] (Divergences_jax.Pearson_chi_squared_LT method), [1] (Divergences_jax.squared_Hellinger_LT method), [1] (Divergences_tf.alpha_Divergence_LT method), [1] (Divergences_tf.f_Divergence method), [1] (Divergences_tf.Jensen_Shannon_LT method), [1] (Divergences_tf.KLD_LT method), [1] (Divergences_tf.Pearson_chi_squared_LT method), [1] (Divergences_tf.squared_Hellinger_LT method), [1] (Divergences_torch.alpha_Divergence_LT method), [1] (Divergences_torch.f_Divergence method), [1] (Divergences_torch.Jensen_Shannon_LT method), [1] (Divergences_torch.KLD_LT method), [1] (Divergences_torch.Pearson_chi_squared_LT method), [1] (Divergences_torch.squared_Hellinger_LT method), [1] final_layer_activation() (Divergences_jax.f_Divergence method), [1] (Divergences_jax.Jensen_Shannon_LT method), [1] (Divergences_jax.Renyi_Divergence_CC method), [1] (Divergences_jax.Renyi_Divergence_CC_rescaled method), [1] (Divergences_jax.squared_Hellinger_LT method), [1] (Divergences_tf.f_Divergence method), [1] (Divergences_tf.Jensen_Shannon_LT method), [1] (Divergences_tf.Renyi_Divergence_CC method), [1] (Divergences_tf.Renyi_Divergence_CC_rescaled method), [1] (Divergences_tf.squared_Hellinger_LT method), [1] (Divergences_torch.f_Divergence method), [1] (Divergences_torch.Jensen_Shannon_LT method), [1] (Divergences_torch.Renyi_Divergence_CC method), [1] (Divergences_torch.Renyi_Divergence_CC_rescaled method), [1] (Divergences_torch.squared_Hellinger_LT method), [1]

forward() (GAN_CIFAR10_torch.Discriminator method), [1], [2], [3] (GAN_CIFAR10_torch.Discriminator_cond method), [1], [2], [3] (GAN_CIFAR10_torch.DiscriminatorBlock method), [1], [2], [3] (GAN_CIFAR10_torch.Generator method), [1], [2], [3] (GAN_CIFAR10_torch.Generator_cond method), [1], [2], [3] (GAN_CIFAR10_torch.GeneratorBlock method), [1], [2], [3] (GAN_MNIST_torch.Discriminator_MNIST method), [1], [2], [3] (GAN_MNIST_torch.Discriminator_MNIST_cond method), [1], [2], [3] (GAN_MNIST_torch.Generator_MNIST method), [1], [2], [3] (GAN_MNIST_torch.Generator_MNIST_cond method), [1], [2], [3] (model_torch.BoundedActivation method), [1], [2], [3] (model_torch.Discriminator method), [1], [2], [3] (model_torch.Discriminator_MNIST method), [1], [2], [3] (model_torch.Generator method), [1], [2], [3] from_config() (GAN_CIFAR10_tf.GeneratorBlock class method), [1]

G

GAN (class in GAN_jax), [1] (class in GAN_tf), [1] (class in GAN_torch), [1] GAN_CIFAR10_jax module, [1] GAN_CIFAR10_tf module, [1] GAN_CIFAR10_torch module, [1] GAN_jax module, [1] GAN_MNIST_jax module, [1] GAN_MNIST_tf module, [1] GAN_MNIST_torch module, [1] GAN_tf module, [1] GAN_torch module, [1] gen_train_step() (Divergences_jax.Divergence method), [1] (GAN_jax.GAN method), [1] (GAN_tf.GAN method), [1] (GAN_torch.GAN method), [1] generate_samples() (GAN_jax.GAN method) (GAN_tf.GAN method) (GAN_torch.GAN method) Generator (class in GAN_CIFAR10_jax), [1] (class in GAN_CIFAR10_tf), [1] (class in GAN_CIFAR10_torch), [1] (class in model_jax), [1] (class in model_tf), [1] (class in model_torch), [1] Generator_cond (class in GAN_CIFAR10_jax), [1] (class in GAN_CIFAR10_torch), [1] generator_loss() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1]

Generator_MNIST (class in GAN_MNIST_torch), [1] Generator_MNIST_cond (class in GAN_MNIST_jax), [1] (class in GAN_MNIST_torch), [1] Generator_MNIST_cond() (in module GAN_MNIST_tf), [1] GeneratorBlock (class in GAN_CIFAR10_tf), [1] (class in GAN_CIFAR10_torch), [1] get_batch_size() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] get_config() (GAN_CIFAR10_tf.GeneratorBlock method), [1] get_discriminator() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] get_learning_rate() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] get_Lip_constant() (Divergences_jax.Gradient_Penalty_1Sided method), [1] (Divergences_jax.Gradient_Penalty_2Sided method), [1] (Divergences_tf.Gradient_Penalty_1Sided method), [1] (Divergences_tf.Gradient_Penalty_2Sided method), [1] (Divergences_torch.Gradient_Penalty_1Sided method), [1] (Divergences_torch.Gradient_Penalty_2Sided method), [1] get_no_epochs() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] get_order() (Divergences_jax.alpha_Divergence_LT method), [1] (Divergences_jax.Renyi_Divergence method), [1] (Divergences_tf.alpha_Divergence_LT method), [1] (Divergences_tf.Renyi_Divergence method), [1] (Divergences_torch.alpha_Divergence_LT method), [1] (Divergences_torch.Renyi_Divergence method), [1] get_penalty_weight() (Divergences_jax.Discriminator_Penalty method), [1] (Divergences_tf.Discriminator_Penalty method), [1] (Divergences_torch.Discriminator_Penalty method), [1] Gradient_Penalty_1Sided (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] Gradient_Penalty_2Sided (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

I

input_dim (model_jax.Discriminator attribute) IPM (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

J

Jensen_Shannon_LT (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

K

KLD_DV (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

KLD_LT (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

L

latent_dim (GAN_MNIST_jax.Generator_MNIST_cond attribute)

layers_list (model_jax.Discriminator attribute) (model_jax.Generator attribute)

M

model_jax module, [1] model_tf module, [1] model_torch module, [1] module Divergences_jax, [1] Divergences_tf, [1] Divergences_torch, [1] GAN_CIFAR10_jax, [1] GAN_CIFAR10_tf, [1] GAN_CIFAR10_torch, [1] GAN_jax, [1] GAN_MNIST_jax, [1] GAN_MNIST_tf, [1] GAN_MNIST_torch, [1] GAN_tf, [1] GAN_torch, [1] model_jax, [1] model_tf, [1] model_torch, [1]

N

name (GAN_CIFAR10_jax.Discriminator attribute) (GAN_CIFAR10_jax.Discriminator_cond attribute) (GAN_CIFAR10_jax.Generator attribute) (GAN_CIFAR10_jax.Generator_cond attribute) (GAN_MNIST_jax.Discriminator_MNIST_cond attribute) (GAN_MNIST_jax.Generator_MNIST_cond attribute) (model_jax.Discriminator attribute) (model_jax.DiscriminatorMNIST attribute) (model_jax.Generator attribute)

num_classes (GAN_MNIST_jax.Generator_MNIST_cond attribute)

P

parent (GAN_CIFAR10_jax.Discriminator attribute) (GAN_CIFAR10_jax.Discriminator_cond attribute) (GAN_CIFAR10_jax.Generator attribute) (GAN_CIFAR10_jax.Generator_cond attribute) (GAN_MNIST_jax.Discriminator_MNIST_cond attribute) (GAN_MNIST_jax.Generator_MNIST_cond attribute) (model_jax.Discriminator attribute) (model_jax.DiscriminatorMNIST attribute) (model_jax.Generator attribute)

Pearson_chi_squared_HCR (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] Pearson_chi_squared_LT (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

R

Renyi_Divergence (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] Renyi_Divergence_CC (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] Renyi_Divergence_CC_rescaled (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

Renyi_Divergence_DV (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1] Renyi_Divergence_WCR (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

S

scope (GAN_CIFAR10_jax.Discriminator attribute) (GAN_CIFAR10_jax.Discriminator_cond attribute) (GAN_CIFAR10_jax.Generator attribute) (GAN_CIFAR10_jax.Generator_cond attribute) (GAN_MNIST_jax.Discriminator_MNIST_cond attribute) (GAN_MNIST_jax.Generator_MNIST_cond attribute) (model_jax.Discriminator attribute) (model_jax.DiscriminatorMNIST attribute) (model_jax.Generator attribute) set_batch_size() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] set_discriminator() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] set_learning_rate() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] set_Lip_constant() (Divergences_jax.Gradient_Penalty_1Sided method), [1] (Divergences_jax.Gradient_Penalty_2Sided method), [1] (Divergences_tf.Gradient_Penalty_1Sided method), [1] (Divergences_tf.Gradient_Penalty_2Sided method), [1] (Divergences_torch.Gradient_Penalty_1Sided method), [1] (Divergences_torch.Gradient_Penalty_2Sided method), [1]

set_no_epochs() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] set_order() (Divergences_jax.alpha_Divergence_LT method), [1] (Divergences_jax.Renyi_Divergence method), [1] (Divergences_tf.alpha_Divergence_LT method), [1] (Divergences_tf.Renyi_Divergence method), [1] (Divergences_torch.alpha_Divergence_LT method), [1] (Divergences_torch.Renyi_Divergence method), [1] set_penalty_weight() (Divergences_jax.Discriminator_Penalty method), [1] (Divergences_tf.Discriminator_Penalty method), [1] (Divergences_torch.Discriminator_Penalty method), [1] spec_norm (model_jax.Discriminator attribute) (model_jax.Generator attribute) squared_Hellinger_LT (class in Divergences_jax), [1] (class in Divergences_tf), [1] (class in Divergences_torch), [1]

T

train() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1] (GAN_jax.GAN method), [1] (GAN_tf.GAN method), [1] (GAN_torch.GAN method), [1]

train_step() (Divergences_jax.Divergence method), [1] (Divergences_tf.Divergence method), [1] (Divergences_torch.Divergence method), [1]

X

X_dim (model_jax.Generator attribute)

Z

Z_dim (model_jax.Generator attribute)