119 lines
4 KiB
Python
119 lines
4 KiB
Python
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# Copyright 2016 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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"""Model Analyzer.
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Analyze model, including shape, params, time, memory, structure, etc.
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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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# Import the names here for existing users.
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# pylint: disable=unused-import
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from tensorflow.python.profiler import tfprof_logger
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from tensorflow.python.profiler.model_analyzer import advise as _advise
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from tensorflow.python.profiler.model_analyzer import ALL_ADVICE
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from tensorflow.python.profiler.model_analyzer import profile as _profile
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from tensorflow.python.profiler.model_analyzer import Profiler
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from tensorflow.python.profiler.profile_context import ProfileContext
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from tensorflow.python.util.deprecation import deprecated
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_DEFAULT_PROFILE_OPTIONS = 0
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_DEFAULT_ADVISE_OPTIONS = 0
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# pylint: disable=bad-whitespace
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# pylint: disable=bad-continuation
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# options examples for profiling API.
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#
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# Show the parameter statistics of trainable variables.
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TRAINABLE_VARS_PARAMS_STAT_OPTIONS = {
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'max_depth': 10000,
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'min_bytes': 0,
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'min_micros': 0,
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'min_params': 0,
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'min_float_ops': 0,
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'order_by': 'name',
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'account_type_regexes': [tfprof_logger.TRAINABLE_VARIABLES],
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'start_name_regexes': ['.*'],
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'trim_name_regexes': [],
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'show_name_regexes': ['.*'],
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'hide_name_regexes': [],
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'account_displayed_op_only': True,
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'select': ['params'],
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'output': 'stdout',
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'dump_to_file': '' # Deprecated, use 'output': 'file:outfile=<name>'
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}
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# Show the number float operations.
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FLOAT_OPS_OPTIONS = {
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'max_depth': 10000,
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'min_bytes': 0,
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'min_micros': 0,
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'min_params': 0,
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'min_float_ops': 1,
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'order_by': 'float_ops',
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'account_type_regexes': ['.*'],
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'start_name_regexes': ['.*'],
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'trim_name_regexes': [],
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'show_name_regexes': ['.*'],
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'hide_name_regexes': [],
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'account_displayed_op_only': True,
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'select': ['float_ops'],
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'output': 'stdout',
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'dump_to_file': '' # Deprecated, use 'output': 'file:outfile=<name>'
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}
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# Show the timing stats and memory demands.
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PRINT_ALL_TIMING_MEMORY = {
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'max_depth': 10000,
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'min_bytes': 1, # Only >=1
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'min_micros': 1, # Only >=1
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'min_params': 0,
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'min_float_ops': 0,
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'order_by': 'name',
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'account_type_regexes': ['.*'],
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'start_name_regexes': ['.*'],
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'trim_name_regexes': [],
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'show_name_regexes': ['.*'],
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'hide_name_regexes': [],
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'account_displayed_op_only': True,
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'select': ['micros', 'bytes'],
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'output': 'stdout',
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'dump_to_file': '' # Deprecated, use 'output': 'file:outfile=<name>'
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}
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# pylint: enable=bad-whitespace
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# pylint: enable=bad-continuation
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@deprecated('2018-01-01',
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'Use `tf.profiler.advise(graph, run_meta, options)`. See README.md')
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def advise(graph, run_meta=None, tfprof_options=_DEFAULT_ADVISE_OPTIONS):
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return _advise(graph, run_meta, tfprof_options)
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@deprecated('2018-01-01',
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'Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. '
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'Build `options` with `tf.profiler.ProfileOptionBuilder`. '
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'See README.md for details')
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def print_model_analysis(graph,
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run_meta=None,
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op_log=None,
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tfprof_cmd='scope',
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tfprof_options=_DEFAULT_PROFILE_OPTIONS):
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return _profile(graph, run_meta, op_log, tfprof_cmd, tfprof_options)
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