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Custom_getter class is used to do:

  1. Change trainable variables to local collection and place them at worker device
  2. Generate global variables(global center variables)
  3. 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.



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Call self as a function.