Index

_

__init__() (ashpy.callbacks.callback.Callback method), [1], [2] (ashpy.callbacks.classifier.LogClassifierCallback method), [1], [2] (ashpy.callbacks.counter_callback.CounterCallback method), [1], [2] (ashpy.callbacks.gan.LogImageGANCallback method), [1], [2] (ashpy.callbacks.gan.LogImageGANEncoderCallback method), [1], [2] (ashpy.callbacks.save_callback.SaveCallback method), [1], [2] (ashpy.contexts.classifier.ClassifierContext method), [1], [2] (ashpy.contexts.context.Context method), [1], [2] (ashpy.contexts.gan.GANContext method), [1], [2] (ashpy.contexts.gan.GANEncoderContext method), [1], [2] (ashpy.keras.losses.DHingeLoss method), [1] (ashpy.keras.losses.DLeastSquare method), [1] (ashpy.keras.losses.DMinMax method), [1] (ashpy.keras.losses.GHingeLoss method), [1] (ashpy.keras.losses.L1 method), [1] (ashpy.layers.attention.Attention method) (ashpy.layers.instance_normalization.InstanceNormalization method) (ashpy.losses.classifier.ClassifierLoss method), [1], [2] (ashpy.losses.executor.Executor method), [1], [2] (ashpy.losses.executor.SumExecutor method), [1], [2] (ashpy.losses.gan.CategoricalCrossEntropy method), [1], [2] (ashpy.losses.gan.DiscriminatorAdversarialLoss method), [1], [2] (ashpy.losses.gan.DiscriminatorHingeLoss method), [1], [2] (ashpy.losses.gan.DiscriminatorLSGAN method), [1], [2] (ashpy.losses.gan.DiscriminatorMinMax method), [1], [2] (ashpy.losses.gan.EncoderBCE method), [1], [2] (ashpy.losses.gan.FeatureMatchingLoss method), [1], [2] (ashpy.losses.gan.GeneratorAdversarialLoss method), [1], [2] (ashpy.losses.gan.GeneratorBCE method), [1], [2] (ashpy.losses.gan.GeneratorHingeLoss method), [1], [2] (ashpy.losses.gan.GeneratorL1 method), [1], [2] (ashpy.losses.gan.GeneratorLSGAN method), [1], [2] (ashpy.losses.gan.Pix2PixLoss method), [1], [2] (ashpy.losses.gan.Pix2PixLossSemantic method), [1], [2] (ashpy.metrics.classifier.ClassifierLoss method), [1], [2] (ashpy.metrics.classifier.ClassifierMetric method), [1], [2] (ashpy.metrics.gan.DiscriminatorLoss method), [1], [2] (ashpy.metrics.gan.EncoderLoss method), [1], [2] (ashpy.metrics.gan.EncodingAccuracy method), [1], [2] (ashpy.metrics.gan.GeneratorLoss method), [1], [2] (ashpy.metrics.gan.InceptionScore method), [1], [2] (ashpy.metrics.metric.Metric method), [1], [2] (ashpy.metrics.sliced_wasserstein_metric.SingleSWD method), [1] (ashpy.metrics.sliced_wasserstein_metric.SlicedWassersteinDistance method), [1], [2] (ashpy.metrics.ssim_multiscale.SSIM_Multiscale method), [1], [2] (ashpy.models.convolutional.autoencoders.Autoencoder method), [1], [2] (ashpy.models.convolutional.autoencoders.FCNNAutoencoder method), [1], [2] (ashpy.models.convolutional.decoders.Decoder method), [1], [2] (ashpy.models.convolutional.decoders.FCNNDecoder method), [1], [2] (ashpy.models.convolutional.discriminators.MultiScaleDiscriminator method), [1], [2] (ashpy.models.convolutional.discriminators.PatchDiscriminator method), [1], [2] (ashpy.models.convolutional.encoders.Encoder method), [1], [2] (ashpy.models.convolutional.encoders.FCNNEncoder method), [1], [2] (ashpy.models.convolutional.interfaces.Conv2DInterface method), [1], [2] (ashpy.models.convolutional.pix2pixhd.GlobalGenerator method), [1], [2] (ashpy.models.convolutional.pix2pixhd.LocalEnhancer method), [1], [2] (ashpy.models.convolutional.pix2pixhd.ResNetBlock method), [1] (ashpy.models.convolutional.unet.SUNet method), [1], [2] (ashpy.models.convolutional.unet.UNet method), [1], [2] (ashpy.models.fc.autoencoders.Autoencoder method), [1], [2] (ashpy.models.fc.decoders.Decoder method), [1], [2] (ashpy.models.fc.encoders.Encoder method), [1], [2] (ashpy.models.fc.interfaces.FCInterface method), [1], [2] (ashpy.restorers.Restorer method) (ashpy.restorers.restorer.Restorer method), [1] (ashpy.trainers.AdversarialTrainer method) (ashpy.trainers.EncoderTrainer method) (ashpy.trainers.Trainer method) (ashpy.trainers.classifier.ClassifierTrainer method), [1] (ashpy.trainers.gan.AdversarialTrainer method), [1] (ashpy.trainers.gan.EncoderTrainer method), [1] (ashpy.trainers.trainer.Trainer method), [1]

_add_building_block() (ashpy.models.convolutional.decoders.Decoder method), [1], [2] (ashpy.models.convolutional.discriminators.PatchDiscriminator method), [1], [2] (ashpy.models.convolutional.encoders.Encoder method), [1], [2] _add_final_block() (ashpy.models.convolutional.decoders.Decoder method), [1], [2] (ashpy.models.convolutional.discriminators.PatchDiscriminator method), [1], [2] (ashpy.models.convolutional.encoders.Encoder method), [1], [2] (ashpy.models.convolutional.encoders.FCNNEncoder method), [1], [2] _add_initial_block() (ashpy.models.convolutional.decoders.Decoder method), [1], [2] (ashpy.models.convolutional.decoders.FCNNDecoder method), [1], [2] _build_and_restore_models() (ashpy.trainers.AdversarialTrainer method) (ashpy.trainers.EncoderTrainer method) (ashpy.trainers.Trainer method) (ashpy.trainers.classifier.ClassifierTrainer method), [1] (ashpy.trainers.gan.AdversarialTrainer method), [1] (ashpy.trainers.gan.EncoderTrainer method), [1] (ashpy.trainers.trainer.Trainer method), [1] _check_model_construction() (ashpy.restorers.Restorer static method) (ashpy.restorers.restorer.Restorer static method), [1] _check_name_collision() (ashpy.trainers.Trainer static method) (ashpy.trainers.trainer.Trainer static method), [1] _cleanup() (ashpy.callbacks.save_callback.SaveCallback method), [1], [2] _current_epoch() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _dataset_from_example() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _generate_checkpoint_map() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _get_layer_spec() (ashpy.models.convolutional.interfaces.Conv2DInterface static method), [1], [2] _log_fn() (ashpy.callbacks.classifier.LogClassifierCallback static method), [1], [2] (ashpy.callbacks.gan.LogImageGANCallback method), [1], [2] (ashpy.callbacks.gan.LogImageGANEncoderCallback method), [1], [2] _log_metrics_and_reset() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _measure_performance() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _measure_performance_if_needed() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _on_batch_end() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _on_batch_start() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _on_epoch_end() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _on_epoch_start() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _on_exception() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _on_train_end() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _on_train_start() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _reduce() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _restore_checkpoint() (ashpy.restorers.Restorer method) (ashpy.restorers.restorer.Restorer method), [1] _restore_or_init() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _save() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _save_weights_fn() (ashpy.callbacks.save_callback.SaveCallback method), [1], [2] _train_step (ashpy.trainers.AdversarialTrainer attribute) (ashpy.trainers.EncoderTrainer attribute) (ashpy.trainers.classifier.ClassifierTrainer attribute), [1] (ashpy.trainers.gan.AdversarialTrainer attribute), [1] (ashpy.trainers.gan.EncoderTrainer attribute), [1] _update_checkpoint() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _update_global_batch_size() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _validate_callbacks() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] _validate_metrics() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1]

A

AdversarialEncoderRestorer (class in ashpy.restorers) (class in ashpy.restorers.gan), [1] AdversarialLossType (class in ashpy.losses.gan), [1], [2] AdversarialRestorer (class in ashpy.restorers) (class in ashpy.restorers.gan), [1] AdversarialTrainer (class in ashpy.trainers) (class in ashpy.trainers.gan), [1] ashpy.ashtypes (module) ashpy.callbacks (module) ashpy.callbacks.callback (module) ashpy.callbacks.classifier (module) ashpy.callbacks.counter_callback (module) ashpy.callbacks.events (module) ashpy.callbacks.gan (module) ashpy.callbacks.save_callback (module) ashpy.contexts (module) ashpy.contexts.classifier (module) ashpy.contexts.context (module) ashpy.contexts.gan (module) ashpy.keras (module) ashpy.keras.losses (module) ashpy.layers (module) ashpy.losses (module) ashpy.losses.classifier (module) ashpy.losses.executor (module) ashpy.losses.gan (module) ashpy.metrics (module) ashpy.metrics.classifier (module) ashpy.metrics.gan (module)

ashpy.metrics.metric (module) ashpy.metrics.sliced_wasserstein_metric (module) ashpy.metrics.ssim_multiscale (module) ashpy.models (module) ashpy.models.convolutional (module) ashpy.models.convolutional.autoencoders (module) ashpy.models.convolutional.decoders (module) ashpy.models.convolutional.discriminators (module) ashpy.models.convolutional.encoders (module) ashpy.models.convolutional.interfaces (module) ashpy.models.convolutional.pix2pixhd (module) ashpy.models.convolutional.unet (module) ashpy.models.fc (module) ashpy.models.fc.autoencoders (module) ashpy.models.fc.decoders (module) ashpy.models.fc.encoders (module) ashpy.models.fc.interfaces (module) ashpy.models.gans (module) ashpy.modes (module) ashpy.restorers (module) ashpy.restorers.classifier (module) ashpy.restorers.gan (module) ashpy.restorers.restorer (module) ashpy.trainers (module) ashpy.trainers.classifier (module) ashpy.trainers.gan (module) ashpy.trainers.trainer (module) Attention (class in ashpy.layers.attention) Autoencoder (class in ashpy.models.convolutional.autoencoders), [1], [2] (class in ashpy.models.fc.autoencoders), [1], [2]

B

best_folder (ashpy.metrics.metric.Metric attribute), [1], [2] best_model_sel_file (ashpy.metrics.metric.Metric attribute), [1], [2]

build() (ashpy.layers.instance_normalization.InstanceNormalization method) build_discriminator() (ashpy.models.convolutional.discriminators.MultiScaleDiscriminator method), [1], [2]

C

call() (ashpy.keras.losses.DHingeLoss method), [1] (ashpy.keras.losses.DLeastSquare method), [1] (ashpy.keras.losses.DMinMax method), [1] (ashpy.keras.losses.GHingeLoss method), [1] (ashpy.keras.losses.L1 method), [1] (ashpy.layers.attention.Attention method) (ashpy.layers.instance_normalization.InstanceNormalization method) (ashpy.losses.executor.Executor method), [1], [2] (ashpy.losses.executor.SumExecutor method), [1], [2] (ashpy.losses.gan.GANExecutor method), [1], [2] (ashpy.models.convolutional.autoencoders.Autoencoder method), [1], [2] (ashpy.models.convolutional.autoencoders.FCNNAutoencoder method), [1], [2] (ashpy.models.convolutional.discriminators.MultiScaleDiscriminator method), [1], [2] (ashpy.models.convolutional.discriminators.PatchDiscriminator method), [1], [2] (ashpy.models.convolutional.interfaces.Conv2DInterface method), [1], [2] (ashpy.models.convolutional.pix2pixhd.GlobalGenerator method), [1], [2] (ashpy.models.convolutional.pix2pixhd.LocalEnhancer method), [1], [2] (ashpy.models.convolutional.pix2pixhd.ResNetBlock method), [1] (ashpy.models.convolutional.unet.UNet method), [1], [2] (ashpy.models.fc.autoencoders.Autoencoder method), [1], [2] (ashpy.models.fc.interfaces.FCInterface method), [1], [2] (ashpy.trainers.AdversarialTrainer method) (ashpy.trainers.EncoderTrainer method) (ashpy.trainers.Trainer method) (ashpy.trainers.classifier.ClassifierTrainer method), [1] (ashpy.trainers.gan.AdversarialTrainer method), [1] (ashpy.trainers.gan.EncoderTrainer method), [1] (ashpy.trainers.trainer.Trainer method), [1]

Callback (class in ashpy.callbacks.callback), [1], [2] CategoricalCrossEntropy (class in ashpy.losses.gan), [1], [2] checkpoint_map (ashpy.restorers.Restorer attribute) (ashpy.restorers.restorer.Restorer attribute), [1] classifier_model (ashpy.contexts.classifier.ClassifierContext attribute), [1], [2] ClassifierContext (class in ashpy.contexts.classifier), [1], [2] ClassifierLoss (class in ashpy.losses.classifier), [1], [2] (class in ashpy.metrics.classifier), [1], [2] ClassifierMetric (class in ashpy.metrics.classifier), [1], [2] ClassifierRestorer (class in ashpy.restorers) (class in ashpy.restorers.classifier), [1] ClassifierTrainer (class in ashpy.trainers.classifier), [1] context (ashpy.trainers.Trainer attribute) (ashpy.trainers.trainer.Trainer attribute), [1] Context (class in ashpy.contexts.context), [1], [2] Conv2DInterface (class in ashpy.models.convolutional.interfaces), [1], [2] ConvDiscriminator (in module ashpy.models.gans) ConvEncoder (in module ashpy.models.gans) ConvGenerator (in module ashpy.models.gans) CounterCallback (class in ashpy.callbacks.counter_callback), [1], [2] current_batch (ashpy.contexts.context.Context attribute), [1], [2]

D

dataset (ashpy.contexts.context.Context attribute), [1], [2] Decoder (class in ashpy.models.convolutional.decoders), [1], [2] (class in ashpy.models.fc.decoders), [1], [2] DenseDiscriminator (in module ashpy.models.gans) DenseEncoder (in module ashpy.models.gans) DenseGenerator (in module ashpy.models.gans) DHingeLoss (class in ashpy.keras.losses), [1] discriminator_loss (ashpy.contexts.gan.GANContext attribute), [1], [2]

discriminator_model (ashpy.contexts.gan.GANContext attribute), [1], [2] DiscriminatorAdversarialLoss (class in ashpy.losses.gan), [1], [2] DiscriminatorHingeLoss (class in ashpy.losses.gan), [1], [2] DiscriminatorLoss (class in ashpy.metrics.gan), [1], [2] DiscriminatorLSGAN (class in ashpy.losses.gan), [1], [2] DiscriminatorMinMax (class in ashpy.losses.gan), [1], [2] DLeastSquare (class in ashpy.keras.losses), [1] DMinMax (class in ashpy.keras.losses), [1]

E

Encoder (class in ashpy.models.convolutional.encoders), [1], [2] (class in ashpy.models.fc.encoders), [1], [2] encoder_inputs (ashpy.contexts.gan.GANEncoderContext attribute), [1], [2] encoder_loss (ashpy.contexts.gan.GANEncoderContext attribute), [1], [2] encoder_model (ashpy.contexts.gan.GANEncoderContext attribute), [1], [2] EncoderBCE (class in ashpy.losses.gan), [1], [2] EncoderLoss (class in ashpy.metrics.gan), [1], [2]

EncoderTrainer (class in ashpy.trainers) (class in ashpy.trainers.gan), [1] EncodingAccuracy (class in ashpy.metrics.gan), [1], [2] Event (class in ashpy.callbacks.events), [1], [2] exception (ashpy.contexts.context.Context attribute), [1], [2] Executor (class in ashpy.losses.executor), [1], [2] executors (ashpy.losses.executor.SumExecutor attribute), [1], [2]

F

fake_samples (ashpy.contexts.gan.GANContext attribute), [1], [2] FCInterface (class in ashpy.models.fc.interfaces), [1], [2] FCNNAutoencoder (class in ashpy.models.convolutional.autoencoders), [1], [2] FCNNDecoder (class in ashpy.models.convolutional.decoders), [1], [2]

FCNNEncoder (class in ashpy.models.convolutional.encoders), [1], [2] FeatureMatchingLoss (class in ashpy.losses.gan), [1], [2] fn (ashpy.losses.executor.Executor attribute), [1], [2] FUNet() (in module ashpy.models.convolutional.unet), [1], [2]

G

GANContext (class in ashpy.contexts.gan), [1], [2] GANEncoderContext (class in ashpy.contexts.gan), [1], [2] GANExecutor (class in ashpy.losses.gan), [1], [2] generator_inputs (ashpy.contexts.gan.GANContext attribute), [1], [2] generator_loss (ashpy.contexts.gan.GANContext attribute), [1], [2] generator_model (ashpy.contexts.gan.GANContext attribute), [1], [2] generator_of_encoder (ashpy.contexts.gan.GANEncoderContext attribute), [1], [2] GeneratorAdversarialLoss (class in ashpy.losses.gan), [1], [2] GeneratorBCE (class in ashpy.losses.gan), [1], [2] GeneratorHingeLoss (class in ashpy.losses.gan), [1], [2] GeneratorL1 (class in ashpy.losses.gan), [1], [2] GeneratorLoss (class in ashpy.metrics.gan), [1], [2] GeneratorLSGAN (class in ashpy.losses.gan), [1], [2] get_adversarial_loss_discriminator() (in module ashpy.losses.gan), [1], [2]

get_adversarial_loss_generator() (in module ashpy.losses.gan), [1], [2] get_decoder_block() (ashpy.models.convolutional.unet.UNet method), [1], [2] get_discriminator_inputs() (ashpy.losses.gan.GANExecutor static method), [1], [2] get_encoder_block() (ashpy.models.convolutional.unet.UNet method), [1], [2] get_global_step() (ashpy.restorers.Restorer method) (ashpy.restorers.restorer.Restorer method), [1] get_or_train_inception() (ashpy.metrics.gan.InceptionScore static method), [1], [2] get_steps_per_epoch() (ashpy.restorers.Restorer method) (ashpy.restorers.restorer.Restorer method), [1] GHingeLoss (class in ashpy.keras.losses), [1] global_batch_size (ashpy.losses.executor.Executor attribute), [1], [2] (ashpy.losses.executor.SumExecutor attribute), [1], [2] global_step (ashpy.contexts.context.Context attribute), [1], [2] GlobalGenerator (class in ashpy.models.convolutional.pix2pixhd), [1], [2]

H

H5 (ashpy.callbacks.save_callback.SaveSubFormat attribute), [1], [2]

I

inception_score() (ashpy.metrics.gan.InceptionScore method), [1], [2]

InceptionScore (class in ashpy.metrics.gan), [1], [2] InstanceNormalization (class in ashpy.layers.instance_normalization)

J

json_read() (ashpy.metrics.metric.Metric static method), [1], [2]

json_write() (ashpy.metrics.metric.Metric static method), [1], [2]

L

L1 (class in ashpy.keras.losses), [1] local_example() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] LocalEnhancer (class in ashpy.models.convolutional.pix2pixhd), [1], [2] log() (ashpy.metrics.metric.Metric method), [1], [2] (ashpy.metrics.sliced_wasserstein_metric.SlicedWassersteinDistance method), [1], [2] log_eval_mode (ashpy.contexts.context.Context attribute), [1], [2]

LogClassifierCallback (class in ashpy.callbacks.classifier), [1], [2] logdir (ashpy.metrics.metric.Metric attribute), [1], [2] (ashpy.metrics.sliced_wasserstein_metric.SlicedWassersteinDistance attribute), [1], [2] LogEvalMode (class in ashpy.modes), [1] LogImageGANCallback (class in ashpy.callbacks.gan), [1], [2] LogImageGANEncoderCallback (class in ashpy.callbacks.gan), [1], [2] loss (ashpy.contexts.classifier.ClassifierContext attribute), [1], [2]

M

measure_metrics() (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] metric (ashpy.metrics.metric.Metric attribute), [1], [2] Metric (class in ashpy.metrics.metric), [1], [2] metrics (ashpy.contexts.context.Context attribute), [1], [2] MODEL (ashpy.callbacks.save_callback.SaveFormat attribute), [1], [2]

model_selection() (ashpy.metrics.metric.Metric method), [1], [2] (ashpy.metrics.sliced_wasserstein_metric.SlicedWassersteinDistance method), [1], [2] (ashpy.trainers.Trainer method) (ashpy.trainers.trainer.Trainer method), [1] model_selection_operator (ashpy.metrics.metric.Metric attribute), [1], [2] ModelNotConstructedError, [1] MultiScaleDiscriminator (class in ashpy.models.convolutional.discriminators), [1], [2]

N

name (ashpy.callbacks.callback.Callback attribute), [1], [2] (ashpy.metrics.metric.Metric attribute), [1], [2]

name() (ashpy.callbacks.save_callback.SaveFormat method), [1], [2]

O

ON_BATCH_END (ashpy.callbacks.events.Event attribute), [1], [2] on_batch_end() (ashpy.callbacks.callback.Callback method), [1], [2] ON_BATCH_START (ashpy.callbacks.events.Event attribute), [1], [2] on_batch_start() (ashpy.callbacks.callback.Callback method), [1], [2] ON_EPOCH_END (ashpy.callbacks.events.Event attribute), [1], [2] on_epoch_end() (ashpy.callbacks.callback.Callback method), [1], [2] ON_EPOCH_START (ashpy.callbacks.events.Event attribute), [1], [2] on_epoch_start() (ashpy.callbacks.callback.Callback method), [1], [2]

on_event() (ashpy.callbacks.callback.Callback method), [1], [2] (ashpy.callbacks.counter_callback.CounterCallback method), [1], [2] ON_EXCEPTION (ashpy.callbacks.events.Event attribute), [1], [2] on_exception() (ashpy.callbacks.callback.Callback method), [1], [2] ON_TRAIN_END (ashpy.callbacks.events.Event attribute), [1], [2] on_train_end() (ashpy.callbacks.callback.Callback method), [1], [2] ON_TRAIN_START (ashpy.callbacks.events.Event attribute), [1], [2] on_train_start() (ashpy.callbacks.callback.Callback method), [1], [2]

P

PatchDiscriminator (class in ashpy.models.convolutional.discriminators), [1], [2]

Pix2PixLoss (class in ashpy.losses.gan), [1], [2] Pix2PixLossSemantic (class in ashpy.losses.gan), [1], [2]

R

reduce_loss() (ashpy.losses.executor.Executor static method), [1], [2] reduction (ashpy.keras.losses.DHingeLoss attribute), [1] (ashpy.keras.losses.DLeastSquare attribute), [1] (ashpy.keras.losses.DMinMax attribute), [1] (ashpy.keras.losses.GHingeLoss attribute), [1] (ashpy.keras.losses.L1 attribute), [1] reset_states() (ashpy.metrics.metric.Metric method), [1], [2] (ashpy.metrics.sliced_wasserstein_metric.SlicedWassersteinDistance method), [1], [2] ResNetBlock (class in ashpy.models.convolutional.pix2pixhd), [1] restore_callback() (ashpy.restorers.Restorer method) (ashpy.restorers.restorer.Restorer method), [1] restore_discriminator() (ashpy.restorers.AdversarialRestorer method) (ashpy.restorers.gan.AdversarialRestorer method), [1] restore_discriminator_optimizer() (ashpy.restorers.AdversarialRestorer method) (ashpy.restorers.gan.AdversarialRestorer method), [1] restore_encoder() (ashpy.restorers.AdversarialEncoderRestorer method) (ashpy.restorers.gan.AdversarialEncoderRestorer method), [1]

restore_encoder_optimizer() (ashpy.restorers.AdversarialEncoderRestorer method) (ashpy.restorers.gan.AdversarialEncoderRestorer method), [1] restore_generator() (ashpy.restorers.AdversarialRestorer method) (ashpy.restorers.gan.AdversarialRestorer method), [1] restore_generator_optimizer() (ashpy.restorers.AdversarialRestorer method) (ashpy.restorers.gan.AdversarialRestorer method), [1] restore_model() (ashpy.restorers.classifier.ClassifierRestorer method), [1] (ashpy.restorers.ClassifierRestorer method) restore_object() (ashpy.restorers.Restorer method) (ashpy.restorers.restorer.Restorer method), [1] restore_optimizer() (ashpy.restorers.classifier.ClassifierRestorer method), [1] (ashpy.restorers.ClassifierRestorer method) Restorer (class in ashpy.restorers) (class in ashpy.restorers.restorer), [1] result() (ashpy.metrics.metric.Metric method), [1], [2]

S

sanitized_name (ashpy.metrics.metric.Metric attribute), [1], [2] save() (ashpy.callbacks.save_callback.SaveFormat method), [1], [2] save_weights_fn() (ashpy.callbacks.save_callback.SaveCallback method), [1], [2] SaveCallback (class in ashpy.callbacks.save_callback), [1], [2] SaveFormat (class in ashpy.callbacks.save_callback), [1], [2] SaveSubFormat (class in ashpy.callbacks.save_callback), [1], [2]

SingleSWD (class in ashpy.metrics.sliced_wasserstein_metric), [1] SlicedWassersteinDistance (class in ashpy.metrics.sliced_wasserstein_metric), [1], [2] split_batch() (ashpy.metrics.ssim_multiscale.SSIM_Multiscale static method), [1], [2] SSIM_Multiscale (class in ashpy.metrics.ssim_multiscale), [1], [2] SumExecutor (class in ashpy.losses.executor), [1], [2] SUNet (class in ashpy.models.convolutional.unet), [1], [2]

T

TF (ashpy.callbacks.save_callback.SaveSubFormat attribute), [1], [2] train_step() (ashpy.trainers.AdversarialTrainer method) (ashpy.trainers.EncoderTrainer method) (ashpy.trainers.classifier.ClassifierTrainer method), [1] (ashpy.trainers.gan.AdversarialTrainer method), [1] (ashpy.trainers.gan.EncoderTrainer method), [1]

Trainer (class in ashpy.trainers) (class in ashpy.trainers.trainer), [1] training_set (ashpy.contexts.classifier.ClassifierContext attribute), [1], [2]

U

UNet (class in ashpy.models.convolutional.unet), [1], [2] update_state() (ashpy.metrics.classifier.ClassifierLoss method), [1], [2] (ashpy.metrics.classifier.ClassifierMetric method), [1], [2] (ashpy.metrics.gan.DiscriminatorLoss method), [1], [2] (ashpy.metrics.gan.EncoderLoss method), [1], [2] (ashpy.metrics.gan.EncodingAccuracy method), [1], [2] (ashpy.metrics.gan.GeneratorLoss method), [1], [2] (ashpy.metrics.gan.InceptionScore method), [1], [2] (ashpy.metrics.metric.Metric method), [1], [2] (ashpy.metrics.sliced_wasserstein_metric.SingleSWD method), [1] (ashpy.metrics.sliced_wasserstein_metric.SlicedWassersteinDistance method), [1], [2] (ashpy.metrics.ssim_multiscale.SSIM_Multiscale method), [1], [2]

V

validation_set (ashpy.contexts.classifier.ClassifierContext attribute), [1], [2]

W

weight (ashpy.losses.executor.Executor attribute), [1], [2]

WEIGHTS (ashpy.callbacks.save_callback.SaveFormat attribute), [1], [2]