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Deprecate tf.distribute.Strategy.experimental_make_numpy_iterator

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before it is in an official TensorFlow release.

PiperOrigin-RevId: 239525447
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A. Unique TensorFlower 2019-03-20 19:51:54 -07:00 committed by TensorFlower Gardener
parent c261779aff
commit dca741b737
1 changed files with 3 additions and 0 deletions
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tensorflow/python/distribute/distribute_lib.py
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@ -425,10 +425,13 @@ class DistributionStrategy(object):
return self.extended._make_input_fn_iterator( # pylint: disable=protected-access return self.extended._make_input_fn_iterator( # pylint: disable=protected-access
input_fn, replication_mode=replication_mode) input_fn, replication_mode=replication_mode)
@doc_controls.do_not_generate_docs # DEPRECATED
def experimental_make_numpy_iterator( def experimental_make_numpy_iterator(
self, numpy_input, batch_size, num_epochs=1, shuffle=1024, session=None): self, numpy_input, batch_size, num_epochs=1, shuffle=1024, session=None):
"""Makes an iterator for input provided via a nest of numpy arrays. """Makes an iterator for input provided via a nest of numpy arrays.
DEPRECATED: Use `extended.experimental_make_numpy_dataset` instead.
Args: Args:
numpy_input: A nest of NumPy input arrays that will be distributed evenly numpy_input: A nest of NumPy input arrays that will be distributed evenly
across all replicas. Note that lists of Numpy arrays are stacked, across all replicas. Note that lists of Numpy arrays are stacked,