121 lines
4.3 KiB
Python
121 lines
4.3 KiB
Python
# Copyright 2020 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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"""Tests for tf 2.x profiler."""
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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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import os
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import socket
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from tensorflow.python.eager import test
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import errors
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from tensorflow.python.framework import test_util
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from tensorflow.python.platform import gfile
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from tensorflow.python.profiler import profiler_v2 as profiler
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from tensorflow.python.profiler import trace
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class ProfilerTest(test_util.TensorFlowTestCase):
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def test_profile_exceptions(self):
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logdir = self.get_temp_dir()
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profiler.start(logdir)
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with self.assertRaises(errors.AlreadyExistsError):
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profiler.start(logdir)
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profiler.stop()
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with self.assertRaises(errors.UnavailableError):
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profiler.stop()
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# Test with a bad logdir, and it correctly raises exception and deletes
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# profiler.
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# pylint: disable=anomalous-backslash-in-string
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profiler.start('/\/\/:123')
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# pylint: enable=anomalous-backslash-in-string
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with self.assertRaises(Exception):
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profiler.stop()
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profiler.start(logdir)
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profiler.stop()
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def test_save_profile(self):
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logdir = self.get_temp_dir()
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profiler.start(logdir)
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with trace.Trace('three_times_five'):
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three = constant_op.constant(3)
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five = constant_op.constant(5)
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product = three * five
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self.assertAllEqual(15, product)
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profiler.stop()
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file_list = gfile.ListDirectory(logdir)
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self.assertEqual(len(file_list), 2)
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for file_name in gfile.ListDirectory(logdir):
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if gfile.IsDirectory(os.path.join(logdir, file_name)):
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self.assertEqual(file_name, 'plugins')
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else:
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self.assertTrue(file_name.endswith('.profile-empty'))
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profile_dir = os.path.join(logdir, 'plugins', 'profile')
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run = gfile.ListDirectory(profile_dir)[0]
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hostname = socket.gethostname()
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overview_page = os.path.join(profile_dir, run,
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hostname + '.overview_page.pb')
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self.assertTrue(gfile.Exists(overview_page))
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input_pipeline = os.path.join(profile_dir, run,
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hostname + '.input_pipeline.pb')
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self.assertTrue(gfile.Exists(input_pipeline))
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tensorflow_stats = os.path.join(profile_dir, run,
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hostname + '.tensorflow_stats.pb')
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self.assertTrue(gfile.Exists(tensorflow_stats))
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kernel_stats = os.path.join(profile_dir, run, hostname + '.kernel_stats.pb')
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self.assertTrue(gfile.Exists(kernel_stats))
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trace_file = os.path.join(profile_dir, run, hostname + '.trace.json.gz')
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self.assertTrue(gfile.Exists(trace_file))
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def test_profile_with_options(self):
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logdir = self.get_temp_dir()
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options = profiler.ProfilerOptions(
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host_tracer_level=3, python_tracer_level=1)
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profiler.start(logdir, options)
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with trace.Trace('three_times_five'):
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three = constant_op.constant(3)
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five = constant_op.constant(5)
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product = three * five
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self.assertAllEqual(15, product)
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profiler.stop()
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file_list = gfile.ListDirectory(logdir)
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self.assertEqual(len(file_list), 2)
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def test_context_manager_with_options(self):
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logdir = self.get_temp_dir()
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options = profiler.ProfilerOptions(
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host_tracer_level=3, python_tracer_level=1)
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with profiler.Profile(logdir, options):
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with trace.Trace('three_times_five'):
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three = constant_op.constant(3)
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five = constant_op.constant(5)
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product = three * five
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self.assertAllEqual(15, product)
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file_list = gfile.ListDirectory(logdir)
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self.assertEqual(len(file_list), 2)
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if __name__ == '__main__':
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test.main()
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