1 # Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); 4 # you may not use this file except in compliance with the License. 5 # You may obtain a copy of the License at 6 # 7 # http://www.apache.org/licenses/LICENSE-2.0 8 # 9 # Unless required by applicable law or agreed to in writing, software 10 # distributed under the License is distributed on an "AS IS" BASIS, 11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 # See the License for the specific language governing permissions and 13 # limitations under the License. 14 # ============================================================================= 15 """Provides a proper python API for the symbols exported through swig.""" 16 17 from __future__ import absolute_import 18 from __future__ import division 19 from __future__ import print_function 20 21 from tensorflow.python import pywrap_tensorflow as tf_wrap 22 from tensorflow.python.framework import errors 23 24 25 def GenerateModelReport(metagraph, assume_valid_feeds=True, debug=False): 26 """Report what's known statically about each node in the provided metagraph. 27 28 Args: 29 metagraph: A TensorFlow MetaGraphDef. 30 assume_valid_feeds: If True, assume that the shape of the fed nodes is valid 31 debug: Add some information useful for debugging. 32 33 Returns: 34 A string containing the report. 35 """ 36 with errors.raise_exception_on_not_ok_status(): 37 ret_from_swig = tf_wrap.GenerateModelReport(metagraph.SerializeToString(), 38 assume_valid_feeds, debug) 39 40 return ret_from_swig 41
