30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Logging tensorflow::tfprof::OpLogProto.
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OpLogProto is used to add extra model information for offline analysis.
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.profiler.tfprof_logger import write_op_log as _write_op_log
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from tensorflow.python.util.deprecation import deprecated
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@deprecated("2018-01-01", "Use `tf.profiler.write_op_log. go/tfprof`")
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def write_op_log(graph, log_dir, op_log=None, run_meta=None, add_trace=True):
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_write_op_log(graph, log_dir, op_log, run_meta, add_trace)
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