# Copyright 2020 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Tests for tf 2.x profiler.""" import os import socket from tensorflow.python.eager import test from tensorflow.python.framework import constant_op from tensorflow.python.framework import errors from tensorflow.python.framework import test_util from tensorflow.python.platform import gfile from tensorflow.python.profiler import profiler_v2 as profiler from tensorflow.python.profiler import trace class ProfilerTest(test_util.TensorFlowTestCase): def test_profile_exceptions(self): logdir = self.get_temp_dir() profiler.start(logdir) with self.assertRaises(errors.AlreadyExistsError): profiler.start(logdir) profiler.stop() with self.assertRaises(errors.UnavailableError): profiler.stop() # Test with a bad logdir, and it correctly raises exception and deletes # profiler. # pylint: disable=anomalous-backslash-in-string profiler.start('/dev/null/\/\/:123') # pylint: enable=anomalous-backslash-in-string with self.assertRaises(Exception): profiler.stop() profiler.start(logdir) profiler.stop() def test_save_profile(self): logdir = self.get_temp_dir() profiler.start(logdir) with trace.Trace('three_times_five'): three = constant_op.constant(3) five = constant_op.constant(5) product = three * five self.assertAllEqual(15, product) profiler.stop() file_list = gfile.ListDirectory(logdir) self.assertEqual(len(file_list), 2) for file_name in gfile.ListDirectory(logdir): if gfile.IsDirectory(os.path.join(logdir, file_name)): self.assertEqual(file_name, 'plugins') else: self.assertTrue(file_name.endswith('.profile-empty')) profile_dir = os.path.join(logdir, 'plugins', 'profile') run = gfile.ListDirectory(profile_dir)[0] hostname = socket.gethostname() overview_page = os.path.join(profile_dir, run, hostname + '.overview_page.pb') self.assertTrue(gfile.Exists(overview_page)) input_pipeline = os.path.join(profile_dir, run, hostname + '.input_pipeline.pb') self.assertTrue(gfile.Exists(input_pipeline)) tensorflow_stats = os.path.join(profile_dir, run, hostname + '.tensorflow_stats.pb') self.assertTrue(gfile.Exists(tensorflow_stats)) kernel_stats = os.path.join(profile_dir, run, hostname + '.kernel_stats.pb') self.assertTrue(gfile.Exists(kernel_stats)) trace_file = os.path.join(profile_dir, run, hostname + '.trace.json.gz') self.assertTrue(gfile.Exists(trace_file)) def test_profile_with_options(self): logdir = self.get_temp_dir() options = profiler.ProfilerOptions( host_tracer_level=3, python_tracer_level=1) profiler.start(logdir, options) with trace.Trace('three_times_five'): three = constant_op.constant(3) five = constant_op.constant(5) product = three * five self.assertAllEqual(15, product) profiler.stop() file_list = gfile.ListDirectory(logdir) self.assertEqual(len(file_list), 2) def test_context_manager_with_options(self): logdir = self.get_temp_dir() options = profiler.ProfilerOptions( host_tracer_level=3, python_tracer_level=1) with profiler.Profile(logdir, options): with trace.Trace('three_times_five'): three = constant_op.constant(3) five = constant_op.constant(5) product = three * five self.assertAllEqual(15, product) file_list = gfile.ListDirectory(logdir) self.assertEqual(len(file_list), 2) if __name__ == '__main__': test.main()