1 # Copyright 2015 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 """Protobuf related tests.""" 16 17 from __future__ import absolute_import 18 from __future__ import division 19 from __future__ import print_function 20 21 import numpy as np 22 23 from tensorflow.python.framework import constant_op 24 from tensorflow.python.framework import ops 25 from tensorflow.python.platform import test 26 27 28 class ProtoTest(test.TestCase): 29 30 # TODO(vrv): re-enable this test once we figure out how this can 31 # pass the pip install test (where the user is expected to have 32 # protobuf installed). 33 def _testLargeProto(self): 34 # create a constant of size > 64MB. 35 a = constant_op.constant(np.zeros([1024, 1024, 17])) 36 # Serialize the resulting graph def. 37 gdef = a.op.graph.as_graph_def() 38 serialized = gdef.SerializeToString() 39 unserialized = ops.Graph().as_graph_def() 40 # Deserialize back. Protobuf python library should support 41 # protos larger than 64MB. 42 unserialized.ParseFromString(serialized) 43 self.assertProtoEquals(unserialized, gdef) 44 45 46 if __name__ == "__main__": 47 test.main() 48
