| /* Copyright 2016 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. |
| ==============================================================================*/ |
| |
| #include "tensorflow/core/profiler/internal/tfprof_stats.h" |
| |
| #include <utility> |
| |
| #include "tensorflow/core/lib/hash/hash.h" |
| #include "tensorflow/core/lib/io/path.h" |
| #include "tensorflow/core/platform/env.h" |
| #include "tensorflow/core/platform/test.h" |
| #include "tensorflow/core/profiler/internal/tfprof_constants.h" |
| #include "tensorflow/core/profiler/internal/tfprof_utils.h" |
| #include "tensorflow/core/profiler/tfprof_log.pb.h" |
| #include "tensorflow/core/profiler/tfprof_options.h" |
| #include "tensorflow/core/profiler/tfprof_output.pb.h" |
| |
| namespace tensorflow { |
| namespace tfprof { |
| class TFProfTimelineTest : public ::testing::Test { |
| protected: |
| TFProfTimelineTest() { |
| string graph_path = |
| io::JoinPath(testing::TensorFlowSrcRoot(), |
| "core/profiler/internal/testdata/graph.pbtxt"); |
| std::unique_ptr<tensorflow::GraphDef> graph_pb(new tensorflow::GraphDef()); |
| TF_CHECK_OK( |
| ReadProtoFile(Env::Default(), graph_path, graph_pb.get(), false)); |
| |
| std::unique_ptr<tensorflow::RunMetadata> run_meta_pb( |
| new tensorflow::RunMetadata()); |
| string run_meta_path = |
| io::JoinPath(testing::TensorFlowSrcRoot(), |
| "core/profiler/internal/testdata/run_meta"); |
| TF_CHECK_OK( |
| ReadProtoFile(Env::Default(), run_meta_path, run_meta_pb.get(), true)); |
| |
| tf_stats_.reset(new TFStats(std::move(graph_pb), std::move(run_meta_pb), |
| nullptr, nullptr)); |
| tf_stats_->BuildAllViews(); |
| } |
| |
| std::unique_ptr<TFStats> tf_stats_; |
| }; |
| |
| // Before adding test, first dump the json file and |
| // manually check it's correct |
| TEST_F(TFProfTimelineTest, GraphView) { |
| string dump_file = io::JoinPath(testing::TmpDir(), "dump"); |
| Options opts(10000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, "name", |
| {".*"}, // accout_type_regexes |
| {".*"}, {""}, {".*"}, {""}, false, |
| {"params", "bytes", "micros", "float_ops"}, "timeline", |
| {{"outfile", dump_file}}); |
| tf_stats_->ShowGraphNode("graph", opts); |
| |
| string dump_str; |
| TF_CHECK_OK(ReadFileToString(Env::Default(), dump_file + "_0", &dump_str)); |
| EXPECT_EQ(16556121177519539380ull, Hash64(dump_str)); |
| } |
| |
| TEST_F(TFProfTimelineTest, ScopeView) { |
| string dump_file = io::JoinPath(testing::TmpDir(), "dump"); |
| Options opts(5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, "name", |
| {".*"}, // accout_type_regexes |
| {".*"}, {""}, {".*"}, {""}, false, |
| {"params", "bytes", "micros", "float_ops"}, "timeline", |
| {{"outfile", dump_file}}); |
| tf_stats_->ShowGraphNode("scope", opts); |
| |
| string dump_str; |
| TF_CHECK_OK(ReadFileToString(Env::Default(), dump_file + "_0", &dump_str)); |
| EXPECT_EQ(17545174915963890413ull, Hash64(dump_str)); |
| } |
| |
| // TODO(xpan): tfprof_log is too large to include in testdata when adding |
| // code traces. |
| |
| } // namespace tfprof |
| } // namespace tensorflow |