tf.contrib.gan.get_joint_train_hooks(train_steps=namedtuples.GANTrainSteps(1, 1))
Defined in tensorflow/contrib/gan/python/train.py.
Returns a hooks function for joint 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
NOTE: Unlike 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
In contrast, get_joint_train_steps will make 5 session calls:
1) 3 generator + discriminator steps
2) 2 discriminator steps
Args:
train_steps: AGANTrainStepstuple that determines how many generator and discriminator training steps to take.
Returns:
A function that takes a GANTrainOps tuple and returns a list of hooks.