Enable type annotations for python/ops.
PiperOrigin-RevId: 317229132 Change-Id: I7055e650308c2fc83969385dd25e86fb5b073d75
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@ -54,11 +54,9 @@ except NameError:
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# call relies on certain conditionals for its dependencies. Use
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# call relies on certain conditionals for its dependencies. Use
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# control_flow_ops.Assert.
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# control_flow_ops.Assert.
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# Assert and Print are special symbols in python, so we must
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# Assert and Print are special symbols in Python 2, so we must
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# have an upper-case version of them.
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# have an upper-case version of them. When support for it is dropped,
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#
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# we can allow lowercase.
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# For users with Python 3 or Python 2.7
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# with `from __future__ import print_function`, we could also allow lowercase.
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# See https://github.com/tensorflow/tensorflow/issues/18053
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# See https://github.com/tensorflow/tensorflow/issues/18053
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@ -83,11 +81,6 @@ def Print(input_, data, message=None, first_n=None, summarize=None, name=None):
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with jupyter notebook (printing to the notebook *server's* output, not into
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with jupyter notebook (printing to the notebook *server's* output, not into
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the notebook).
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the notebook).
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Additionally, to use tf.print in python 2.7, users must make sure to import
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the following:
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`from __future__ import print_function`
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Args:
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Args:
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input_: A tensor passed through this op.
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input_: A tensor passed through this op.
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data: A list of tensors to print out when op is evaluated.
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data: A list of tensors to print out when op is evaluated.
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@ -148,11 +141,6 @@ def print_v2(*inputs, **kwargs):
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Python objects. Printed tensors will recursively show the first and last
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Python objects. Printed tensors will recursively show the first and last
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elements of each dimension to summarize.
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elements of each dimension to summarize.
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@compatibility(python2)
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In python 2.7, make sure to import the following:
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`from __future__ import print_function`
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@end_compatibility
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Example:
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Example:
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Single-input usage:
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Single-input usage:
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