Pix2PixLoss

Inheritance Diagram

Inheritance diagram of ashpy.losses.gan.Pix2PixLoss

class ashpy.losses.gan.Pix2PixLoss(l1_loss_weight=100.0, adversarial_loss_weight=1.0, feature_matching_weight=10.0, adversarial_loss_type=<AdversarialLossType.GAN: 0>, use_feature_matching_loss=False)[source]

Bases: ashpy.losses.executor.SumExecutor

Pix2Pix Loss.

Weighted sum of ashpy.losses.gan.GeneratorL1, ashpy.losses.gan.AdversarialLossG and ashpy.losses.gan.FeatureMatchingLoss.

Used by Pix2Pix [1] and Pix2PixHD [2]

1

Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004

2

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs https://arxiv.org/abs/1711.11585

Methods

__init__([l1_loss_weight, …])

Initialize the loss.

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.

__init__(l1_loss_weight=100.0, adversarial_loss_weight=1.0, feature_matching_weight=10.0, adversarial_loss_type=<AdversarialLossType.GAN: 0>, use_feature_matching_loss=False)[source]

Initialize the loss.

Weighted sum of ashpy.losses.gan.GeneratorL1, ashpy.losses.gan.AdversarialLossG and ashpy.losses.gan.FeatureMatchingLoss.

Parameters
  • l1_loss_weight (ashpy.ashtypes.TWeight) – Weight of L1 loss.

  • adversarial_loss_weight (ashpy.ashtypes.TWeight) – Weight of adversarial loss.

  • feature_matching_weight (ashpy.ashtypes.TWeight) – Weight of the feature matching loss.

  • adversarial_loss_type (ashpy.losses.gan.AdversarialLossType) – Adversarial loss type (ashpy.losses.gan.AdversarialLossType.GAN or ashpy.losses.gan.AdversarialLossType.LSGAN).

  • use_feature_matching_loss (bool) – if True use also uses ashpy.losses.gan.FeatureMatchingLoss.

Return type

None