Marked create_partitioned_variables as @deprecated
It has been deprecated for a while, but did not include a relevant note in the docs. PiperOrigin-RevId: 222425114
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@ -57,7 +57,7 @@ import math
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import tensor_shape
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from tensorflow.python.framework import tensor_shape
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from tensorflow.python.ops import variable_scope
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from tensorflow.python.ops import variable_scope
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from tensorflow.python.platform import tf_logging as logging
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from tensorflow.python.util import deprecation
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from tensorflow.python.util.tf_export import tf_export
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from tensorflow.python.util.tf_export import tf_export
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__all__ = [
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__all__ = [
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@ -238,6 +238,9 @@ def fixed_size_partitioner(num_shards, axis=0):
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@tf_export("create_partitioned_variables")
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@tf_export("create_partitioned_variables")
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@deprecation.deprecated(
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date=None,
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instructions="Use tf.get_variable with a partitioner set.")
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def create_partitioned_variables(
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def create_partitioned_variables(
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shape, slicing, initializer, dtype=dtypes.float32,
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shape, slicing, initializer, dtype=dtypes.float32,
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trainable=True, collections=None, name=None, reuse=None):
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trainable=True, collections=None, name=None, reuse=None):
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@ -282,11 +285,6 @@ def create_partitioned_variables(
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Raises:
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Raises:
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ValueError: If any of the arguments is malformed.
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ValueError: If any of the arguments is malformed.
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"""
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"""
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logging.warn(
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"create_partitioned_variables is deprecated. Use "
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"tf.get_variable with a partitioner set, or "
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"tf.get_partitioned_variable_list, instead.")
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if len(shape) != len(slicing):
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if len(shape) != len(slicing):
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raise ValueError("The 'shape' and 'slicing' of a partitioned Variable "
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raise ValueError("The 'shape' and 'slicing' of a partitioned Variable "
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"must have the length: shape: %s, slicing: %s" %
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"must have the length: shape: %s, slicing: %s" %
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