Returns a hooks function for sequential GAN training.
When using these train hooks, IT IS RECOMMENDED TO USE
use_locking=True ON ALL OPTIMIZERS TO AVOID RACE CONDITIONS.
The order of steps taken is: 1) Combined generator and discriminator steps 2) Generator only steps, if any remain 3) Discriminator only steps, if any remain
get_sequential_train_hooks, this method performs updates for the generator and discriminator simultaneously whenever possible. This reduces the number of
tf.Session calls, and can also change the training semantics.
To illustrate the difference look at the following example:
train_steps=namedtuples.GANTrainSteps(3, 5) will cause
get_sequential_train_hooks to make 8 session calls: 1) 3 generator steps 2) 5 discriminator steps
get_joint_train_steps will make 5 session calls: 1) 3 generator + discriminator steps 2) 2 discriminator steps
GANTrainStepstuple that determines how many generator and discriminator training steps to take.
A function that takes a GANTrainOps tuple and returns a list of hooks.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.