Remove ':' from summary names in optimize_loss.
Change: 137974467
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@ -258,10 +258,11 @@ def optimize_loss(loss,
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grad_values = gradient
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if grad_values is not None:
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var_name = variable.name.replace(":", "_")
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if "gradients" in summaries:
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summary.histogram("gradients/" + variable.name, grad_values)
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summary.histogram("gradients/%s" % var_name, grad_values)
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if "gradient_norm" in summaries:
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summary.scalar("gradient_norm/" + variable.name,
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summary.scalar("gradient_norm/%s" % var_name,
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clip_ops.global_norm([grad_values]))
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if clip_gradients is not None and "gradient_norm" in summaries:
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@ -35,8 +35,6 @@ from __future__ import print_function
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import re as _re
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import six
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from google.protobuf import json_format as _json_format
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from tensorflow.core.framework import summary_pb2 as _summary_pb2
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from tensorflow.python.framework import dtypes as _dtypes
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@ -47,8 +45,8 @@ from tensorflow.python.ops import gen_logging_ops as _gen_logging_ops
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from tensorflow.python.ops.summary_ops import tensor_summary
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# pylint: enable=unused-import
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from tensorflow.python.platform import tf_logging as _logging
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from tensorflow.python.util.all_util import remove_undocumented
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from tensorflow.python.util import compat as _compat
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from tensorflow.python.util.all_util import remove_undocumented
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def _collect(val, collections, default_collections):
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@ -60,6 +58,7 @@ def _collect(val, collections, default_collections):
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_INVALID_TAG_CHARACTERS = _re.compile(r'[^-/\w\.]')
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def _clean_tag(name):
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# In the past, the first argument to summary ops was a tag, which allowed
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# arbitrary characters. Now we are changing the first argument to be the node
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