A context manager that enables Spectral Normalization for Keras.
tf.contrib.gan.features.keras_spectral_normalization( *args, **kwds )
Keras doesn't respect the
custom_getter in the VariableScope, so this is a
bit of a hack to make things work.
with keras_spectral_normalization(): net = discriminator_fn(net)
name_filter: Optionally, a method that takes a Variable name as input and returns whether this Variable should be normalized.
power_iteration_rounds: The number of iterations of the power method to perform per step. A higher number yields a better approximation of the true spectral norm.
A context manager that wraps the standard Keras variable creation method