TensorFlow 1 version
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View source on GitHub
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Returns the current tf.distribute.ReplicaContext or None.
tf.distribute.get_replica_context()
Returns None if in a cross-replica context.
Note that execution:
- starts in the default (single-replica) replica context (this function
will return the default
ReplicaContextobject); - switches to cross-replica context (in which case this will return
None) when entering awith tf.distribute.Strategy.scope():block; - switches to a (non-default) replica context inside
strategy.run(fn, ...); - if
fncallsget_replica_context().merge_call(merge_fn, ...), then insidemerge_fnyou are back in the cross-replica context (and again this function will returnNone).
Most tf.distribute.Strategy methods may only be executed in
a cross-replica context, in a replica context you should use the
API of the tf.distribute.ReplicaContext object returned by this
method instead.
assert tf.distribute.get_replica_context() is not None # default
with strategy.scope():
assert tf.distribute.get_replica_context() is None
def f():
replica_context = tf.distribute.get_replica_context() # for strategy
assert replica_context is not None
tf.print("Replica id: ", replica_context.replica_id_in_sync_group,
" of ", replica_context.num_replicas_in_sync)
strategy.run(f)
Returns | |
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The current tf.distribute.ReplicaContext object when in a replica context
scope, else None.
Within a particular block, exactly one of these two things will be true:
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TensorFlow 1 version
View source on GitHub