Related changes: * Refactored part of cli/profile_analyzer_cli.py to new file lib/profiling.py. * Improve the way in which filtering is done for file path and line number. * Add unit test for the "lp" and "ps" commands under tf.while_loops. * Add op type to the "lp" table. Also add the ability to sort the rows by op type. * Let the length of the all-"-" divider scale automatically with screen with in the curses UI. PiperOrigin-RevId: 156502357
101 lines
3.8 KiB
Python
101 lines
3.8 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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"""Unit tests for the basic data structures and algorithms for profiling."""
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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.core.framework import step_stats_pb2
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from tensorflow.python.debug.lib import profiling
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from tensorflow.python.framework import test_util
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from tensorflow.python.platform import googletest
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class AggregateProfile(test_util.TensorFlowTestCase):
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def setUp(self):
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node_1 = step_stats_pb2.NodeExecStats(
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node_name="Add/123",
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op_start_rel_micros=3,
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op_end_rel_micros=5,
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all_end_rel_micros=4)
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self.profile_datum_1 = profiling.ProfileDatum(
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"cpu:0", node_1, "/foo/bar.py", 10, "func1", "Add")
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node_2 = step_stats_pb2.NodeExecStats(
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node_name="Mul/456",
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op_start_rel_micros=13,
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op_end_rel_micros=16,
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all_end_rel_micros=17)
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self.profile_datum_2 = profiling.ProfileDatum(
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"cpu:0", node_2, "/foo/bar.py", 11, "func1", "Mul")
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node_3 = step_stats_pb2.NodeExecStats(
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node_name="Add/123",
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op_start_rel_micros=103,
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op_end_rel_micros=105,
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all_end_rel_micros=4)
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self.profile_datum_3 = profiling.ProfileDatum(
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"cpu:0", node_3, "/foo/bar.py", 12, "func1", "Add")
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node_4 = step_stats_pb2.NodeExecStats(
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node_name="Add/123",
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op_start_rel_micros=203,
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op_end_rel_micros=205,
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all_end_rel_micros=4)
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self.profile_datum_4 = profiling.ProfileDatum(
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"gpu:0", node_4, "/foo/bar.py", 13, "func1", "Add")
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def testAggregateProfileConstructorWorks(self):
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aggregate_data = profiling.AggregateProfile(self.profile_datum_1)
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self.assertEqual(2, aggregate_data.total_op_time)
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self.assertEqual(4, aggregate_data.total_exec_time)
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self.assertEqual(1, aggregate_data.node_count)
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self.assertEqual(1, aggregate_data.node_exec_count)
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def testAddToAggregateProfileWithDifferentNodeWorks(self):
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aggregate_data = profiling.AggregateProfile(self.profile_datum_1)
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aggregate_data.add(self.profile_datum_2)
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self.assertEqual(5, aggregate_data.total_op_time)
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self.assertEqual(21, aggregate_data.total_exec_time)
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self.assertEqual(2, aggregate_data.node_count)
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self.assertEqual(2, aggregate_data.node_exec_count)
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def testAddToAggregateProfileWithSameNodeWorks(self):
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aggregate_data = profiling.AggregateProfile(self.profile_datum_1)
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aggregate_data.add(self.profile_datum_2)
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aggregate_data.add(self.profile_datum_3)
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self.assertEqual(7, aggregate_data.total_op_time)
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self.assertEqual(25, aggregate_data.total_exec_time)
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self.assertEqual(2, aggregate_data.node_count)
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self.assertEqual(3, aggregate_data.node_exec_count)
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def testAddToAggregateProfileWithDifferentDeviceSameNodeWorks(self):
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aggregate_data = profiling.AggregateProfile(self.profile_datum_1)
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aggregate_data.add(self.profile_datum_4)
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self.assertEqual(4, aggregate_data.total_op_time)
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self.assertEqual(8, aggregate_data.total_exec_time)
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self.assertEqual(2, aggregate_data.node_count)
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self.assertEqual(2, aggregate_data.node_exec_count)
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if __name__ == "__main__":
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googletest.main()
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