tf.contrib.opt.AGNCustomGetter
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Custom_getter class is used to do:
tf.contrib.opt.AGNCustomGetter(
worker_device
)
- Change trainable variables to local collection and place them at worker
device
- Generate global variables(global center variables)
- Generate grad variables(gradients) which record the gradients sum
and place them at worker device
Notice that the class should be used with tf.replica_device_setter,
so that the global center variables and global step variable can be placed
at ps device.
Methods
__call__
View source
__call__(
getter, name, trainable, collections, *args, **kwargs
)
Call self as a function.
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Last updated 2020-10-01 UTC.
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