tf.global_variables

tf.global_variables(scope=None)

Defined in tensorflow/python/ops/variables.py.

See the guide: Upgrade to TensorFlow 1.0 > Upgrading your code manually

Returns global variables.

Global variables are variables that are shared across machines in a distributed environment. The Variable() constructor or get_variable() automatically adds new variables to the graph collection GraphKeys.GLOBAL_VARIABLES. This convenience function returns the contents of that collection.

An alternative to global variables are local variables. See tf.local_variables

Args:

  • scope: (Optional.) A string. If supplied, the resulting list is filtered to include only items whose name attribute matches scope using re.match. Items without a name attribute are never returned if a scope is supplied. The choice of re.match means that a scope without special tokens filters by prefix.

Returns:

A list of Variable objects.