f618ab4955
- assertEquals -> assertEqual - assertRaisesRegexp -> assertRegexpMatches - assertRegexpMatches -> assertRegex PiperOrigin-RevId: 319118081 Change-Id: Ieb457128522920ab55d6b69a7f244ab798a7d689
81 lines
2.9 KiB
Python
81 lines
2.9 KiB
Python
# Copyright 2016 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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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.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.platform import test
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class TFProfLoggerTest(test.TestCase):
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def _BuildSmallPlaceholderlModel(self):
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a = array_ops.placeholder(dtypes.int32, [2, 2])
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b = array_ops.placeholder(dtypes.int32, [2, 2])
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y = math_ops.matmul(a, b)
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return a, b, y
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def _BuildSmallModel(self):
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a = constant_op.constant([[1, 2], [3, 4]])
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b = constant_op.constant([[1, 2], [3, 4]])
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return math_ops.matmul(a, b)
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# pylint: disable=pointless-string-statement
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"""# TODO(xpan): This out of core so it doesn't depend on contrib.
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def testFillMissingShape(self):
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a, b, y = self._BuildSmallPlaceholderlModel()
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run_options = config_pb2.RunOptions(
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trace_level=config_pb2.RunOptions.FULL_TRACE)
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run_metadata = config_pb2.RunMetadata()
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sess = session.Session()
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sess.run(y,
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options=run_options,
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run_metadata=run_metadata,
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feed_dict={a: [[1, 2], [2, 3]],
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b: [[1, 2], [2, 3]]})
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graph2 = ops.Graph()
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# Use copy_op_to_graph to remove shape information.
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y2 = copy_elements.copy_op_to_graph(y, graph2, [])
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self.assertEqual('<unknown>', str(y2.get_shape()))
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tfprof_logger._fill_missing_graph_shape(graph2, run_metadata)
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self.assertEqual('(2, 2)', str(y2.get_shape()))
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def testFailedFillMissingShape(self):
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y = self._BuildSmallModel()
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run_options = config_pb2.RunOptions(
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trace_level=config_pb2.RunOptions.FULL_TRACE)
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run_metadata = config_pb2.RunMetadata()
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sess = session.Session()
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sess.run(y, options=run_options, run_metadata=run_metadata)
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graph2 = ops.Graph()
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y2 = copy_elements.copy_op_to_graph(y, graph2, [])
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self.assertEqual('<unknown>', str(y2.get_shape()))
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# run_metadata has special name for MatMul, hence failed to fill shape.
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tfprof_logger._fill_missing_graph_shape(graph2, run_metadata)
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self.assertEqual('<unknown>', str(y2.get_shape()))
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"""
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if __name__ == '__main__':
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test.main()
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