tf.contrib.gan.features.clip_discriminator_weights( optimizer, model, weight_clip )
Modifies an optimizer so it clips weights to a certain value.
optimizer: An optimizer to perform variable weight clipping.
model: A GANModel namedtuple.
weight_clip: Positive python float to clip discriminator weights. Used to enforce a K-lipschitz condition, which is useful for some GAN training schemes (ex WGAN: https://arxiv.org/pdf/1701.07875).
An optimizer to perform weight clipping after updates.
weight_clipis less than 0.
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