HyperGAN
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HyperGAN
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Adversarial Norm
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Train Hook
Train hooks provide training events and loss modification to trainers.

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1
gan.trainer.train_hooks # => [...]
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Train hooks are setup and invoked by the trainer.

Events

Override these methods to change the train loop
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before_step(step, feed_dict)
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after_step(step, feed_dict)
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after_create()
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gradients(d_grads, g_grads)
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before_step(feed_dict)

after_step(feed_dict)

Executed before/after the step takes place. feed_dict is what is being sent to the graph during the training step.

after_create()

Ran after the trainer is created.

gradients(d_grads, g_grads)

Refines the gradients before they are applied to the optimizer.
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Optimizer
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Adversarial Norm
Last modified 1yr ago
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Events
before_step(feed_dict)
after_step(feed_dict)
after_create()
gradients(d_grads, g_grads)