37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
# Copyright 2017 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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"""Provides a proper python API for the symbols exported through swig."""
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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 import _pywrap_model_analyzer as tf_wrap
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def GenerateModelReport(metagraph, assume_valid_feeds=True, debug=False):
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"""Report what's known statically about each node in the provided metagraph.
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Args:
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metagraph: A TensorFlow MetaGraphDef.
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assume_valid_feeds: If True, assume that the shape of the fed nodes is valid
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debug: Add some information useful for debugging.
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Returns:
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A string containing the report.
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"""
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return tf_wrap.GenerateModelReport(
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metagraph.SerializeToString(), assume_valid_feeds, debug)
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