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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Model Analyzer.
Analyze model, including shape, params, time, memory, structure, etc.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Import the names here for existing users.
# pylint: disable=unused-import
from tensorflow.python.profiler.model_analyzer import advise as _advise
from tensorflow.python.profiler.model_analyzer import ALL_ADVICE
from tensorflow.python.profiler.model_analyzer import FLOAT_OPS_OPTIONS
from tensorflow.python.profiler.model_analyzer import PRINT_ALL_TIMING_MEMORY
from tensorflow.python.profiler.model_analyzer import profile as _profile
from tensorflow.python.profiler.model_analyzer import Profiler
from tensorflow.python.profiler.model_analyzer import TRAINABLE_VARS_PARAMS_STAT_OPTIONS
_DEFAULT_PROFILE_OPTIONS = 0
_DEFAULT_ADVISE_OPTIONS = 0
def advise(graph, run_meta=None, tfprof_options=_DEFAULT_ADVISE_OPTIONS):
return _advise(graph, run_meta, tfprof_options)
def print_model_analysis(graph,
run_meta=None,
op_log=None,
tfprof_cmd='scope',
tfprof_options=_DEFAULT_PROFILE_OPTIONS):
return _profile(graph, run_meta, op_log, tfprof_cmd, tfprof_options)
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