Pix2PixLossSemantic¶
Inheritance Diagram
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class
ashpy.losses.gan.
Pix2PixLossSemantic
(cross_entropy_weight=100.0, adversarial_loss_weight=1.0, feature_matching_weight=10.0, adversarial_loss_type=<AdversarialLossType.GAN: 1>, use_feature_matching_loss=False)[source]¶ Bases:
ashpy.losses.executor.SumExecutor
Semantic Pix2Pix Loss.
Weighted sum of
ashpy.losses.gan.CategoricalCrossEntropy
,ashpy.losses.gan.AdversarialLossG
andashpy.losses.gan.FeatureMatchingLoss
.Methods
__init__
([cross_entropy_weight, …])Initialize the Executor.
Attributes
executors
Return the List of Executors.
fn
Return the Keras loss function to execute.
global_batch_size
Global batch size comprises the batch size for each cpu.
weight
Return the loss weight.
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__init__
(cross_entropy_weight=100.0, adversarial_loss_weight=1.0, feature_matching_weight=10.0, adversarial_loss_type=<AdversarialLossType.GAN: 1>, use_feature_matching_loss=False)[source]¶ Initialize the Executor.
Weighted sum of
ashpy.losses.gan.CategoricalCrossEntropy
,ashpy.losses.gan.AdversarialLossG
andashpy.losses.gan.FeatureMatchingLoss
- Parameters
cross_entropy_weight (
ashpy.ashtypes.TWeight
) – Weight of the categorical cross entropy loss.adversarial_loss_weight (
ashpy.ashtypes.TWeight
) – Weight of the adversarial loss.feature_matching_weight (
ashpy.ashtypes.TWeight
) – Weight of the feature matching loss.adversarial_loss_type (
ashpy.losses.gan.AdversarialLossType
) – type of adversarial loss, seeashpy.losses.gan.AdversarialLossType
use_feature_matching_loss (bool) – whether to use feature matching loss or not
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