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44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
# Copyright 2015 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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"""Protobuf related tests."""
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import numpy as np
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import ops
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from tensorflow.python.platform import test
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class ProtoTest(test.TestCase):
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# TODO(vrv): re-enable this test once we figure out how this can
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# pass the pip install test (where the user is expected to have
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# protobuf installed).
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def _testLargeProto(self):
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# create a constant of size > 64MB.
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a = constant_op.constant(np.zeros([1024, 1024, 17]))
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# Serialize the resulting graph def.
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gdef = a.op.graph.as_graph_def()
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serialized = gdef.SerializeToString()
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unserialized = ops.Graph().as_graph_def()
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# Deserialize back. Protobuf python library should support
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# protos larger than 64MB.
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unserialized.ParseFromString(serialized)
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self.assertProtoEquals(unserialized, gdef)
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if __name__ == "__main__":
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test.main()
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