| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546 |
- /* Copyright 2016 Google Inc. 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.
- ==============================================================================*/
- // A program with a main that is suitable for unittests, including those
- // that also define microbenchmarks. Based on whether the user specified
- // the --benchmark_filter flag which specifies which benchmarks to run,
- // we will either run benchmarks or run the gtest tests in the program.
- #include "tensorflow/core/platform/platform.h"
- #include "tensorflow/core/platform/types.h"
- #if defined(PLATFORM_GOOGLE) || defined(__ANDROID__)
- // main() is supplied by gunit_main
- #else
- #include "gtest/gtest.h"
- #include "tensorflow/core/lib/core/stringpiece.h"
- #include "tensorflow/core/platform/test_benchmark.h"
- GTEST_API_ int main(int argc, char **argv) {
- std::cout << "Running main() from test_main.cc\n";
- testing::InitGoogleTest(&argc, argv);
- for (int i = 1; i < argc; i++) {
- if (tensorflow::StringPiece(argv[i]).starts_with("--benchmarks=")) {
- const char *pattern = argv[i] + strlen("--benchmarks=");
- tensorflow::testing::Benchmark::Run(pattern);
- return 0;
- }
- }
- return RUN_ALL_TESTS();
- }
- #endif
|