Module: tf.contrib.gan.features

Defined in tensorflow/contrib/gan/python/features/__init__.py.

TFGAN features module.

This module includes support for virtual batch normalization, buffer replay, conditioning, etc.

Classes

class VBN: A class to perform virtual batch normalization.

Functions

clip_discriminator_weights(...): Modifies an optimizer so it clips weights to a certain value.

clip_variables(...): Modifies an optimizer so it clips weights to a certain value.

condition_tensor(...): Condition the value of a tensor.

condition_tensor_from_onehot(...): Condition a tensor based on a one-hot tensor.

tensor_pool(...): Queue storing input values and returning random previously stored ones.

Other Members

__cached__

__loader__

__spec__