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.