/* 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/cc/training/coordinator.h" #include "tensorflow/cc/training/queue_runner.h" #include "tensorflow/core/lib/core/blocking_counter.h" #include "tensorflow/core/lib/core/error_codes.pb.h" #include "tensorflow/core/lib/core/notification.h" #include "tensorflow/core/lib/core/status_test_util.h" #include "tensorflow/core/platform/env.h" #include "tensorflow/core/platform/test.h" #include "tensorflow/core/public/session.h" namespace tensorflow { namespace { using error::Code; void WaitForStopThread(Coordinator* coord, Notification* about_to_wait, Notification* done) { about_to_wait->Notify(); coord->WaitForStop(); done->Notify(); } TEST(CoordinatorTest, TestStopAndWaitOnStop) { Coordinator coord; EXPECT_EQ(coord.ShouldStop(), false); Notification about_to_wait; Notification done; Env::Default()->SchedClosure( std::bind(&WaitForStopThread, &coord, &about_to_wait, &done)); about_to_wait.WaitForNotification(); Env::Default()->SleepForMicroseconds(1000 * 1000); EXPECT_FALSE(done.HasBeenNotified()); TF_EXPECT_OK(coord.RequestStop()); done.WaitForNotification(); EXPECT_TRUE(coord.ShouldStop()); } class MockQueueRunner : public RunnerInterface { public: explicit MockQueueRunner(Coordinator* coord) { coord_ = coord; join_counter_ = nullptr; thread_pool_.reset(new thread::ThreadPool(Env::Default(), "test-pool", 10)); stopped_ = false; } MockQueueRunner(Coordinator* coord, int* join_counter) : MockQueueRunner(coord) { join_counter_ = join_counter; } void StartCounting(std::atomic* counter, int until, Notification* start = nullptr) { thread_pool_->Schedule( std::bind(&MockQueueRunner::CountThread, this, counter, until, start)); } void StartSettingStatus(const Status& status, BlockingCounter* counter, Notification* start) { thread_pool_->Schedule(std::bind(&MockQueueRunner::SetStatusThread, this, status, counter, start)); } Status Join() override { if (join_counter_ != nullptr) { (*join_counter_)++; } thread_pool_.reset(); return status_; } Status GetStatus() { return status_; } void SetStatus(const Status& status) { status_ = status; } bool IsRunning() const override { return !stopped_; }; void Stop() { stopped_ = true; } private: void CountThread(std::atomic* counter, int until, Notification* start) { if (start != nullptr) start->WaitForNotification(); while (!coord_->ShouldStop() && counter->load() < until) { (*counter)++; Env::Default()->SleepForMicroseconds(10 * 1000); } coord_->RequestStop().IgnoreError(); } void SetStatusThread(const Status& status, BlockingCounter* counter, Notification* start) { start->WaitForNotification(); SetStatus(status); counter->DecrementCount(); } std::unique_ptr thread_pool_; Status status_; Coordinator* coord_; int* join_counter_; bool stopped_; }; TEST(CoordinatorTest, TestRealStop) { std::atomic counter(0); Coordinator coord; std::unique_ptr qr1(new MockQueueRunner(&coord)); qr1->StartCounting(&counter, 100); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr1))); std::unique_ptr qr2(new MockQueueRunner(&coord)); qr2->StartCounting(&counter, 100); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr2))); // Wait until the counting has started while (counter.load() == 0) ; TF_EXPECT_OK(coord.RequestStop()); int temp_counter = counter.load(); Env::Default()->SleepForMicroseconds(1000 * 1000); EXPECT_EQ(temp_counter, counter.load()); TF_EXPECT_OK(coord.Join()); } TEST(CoordinatorTest, TestRequestStop) { Coordinator coord; std::atomic counter(0); Notification start; std::unique_ptr qr; for (int i = 0; i < 10; i++) { qr.reset(new MockQueueRunner(&coord)); qr->StartCounting(&counter, 10, &start); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr))); } start.Notify(); coord.WaitForStop(); EXPECT_EQ(coord.ShouldStop(), true); EXPECT_EQ(counter.load(), 10); TF_EXPECT_OK(coord.Join()); } TEST(CoordinatorTest, TestJoin) { Coordinator coord; int join_counter = 0; std::unique_ptr qr1( new MockQueueRunner(&coord, &join_counter)); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr1))); std::unique_ptr qr2( new MockQueueRunner(&coord, &join_counter)); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr2))); TF_EXPECT_OK(coord.RequestStop()); TF_EXPECT_OK(coord.Join()); EXPECT_EQ(join_counter, 2); } TEST(CoordinatorTest, StatusReporting) { Coordinator coord({Code::CANCELLED, Code::OUT_OF_RANGE}); Notification start; BlockingCounter counter(3); std::unique_ptr qr1(new MockQueueRunner(&coord)); qr1->StartSettingStatus(Status(Code::CANCELLED, ""), &counter, &start); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr1))); std::unique_ptr qr2(new MockQueueRunner(&coord)); qr2->StartSettingStatus(Status(Code::INVALID_ARGUMENT, ""), &counter, &start); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr2))); std::unique_ptr qr3(new MockQueueRunner(&coord)); qr3->StartSettingStatus(Status(Code::OUT_OF_RANGE, ""), &counter, &start); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr3))); start.Notify(); counter.Wait(); TF_EXPECT_OK(coord.RequestStop()); EXPECT_EQ(coord.Join().code(), Code::INVALID_ARGUMENT); } TEST(CoordinatorTest, JoinWithoutStop) { Coordinator coord; std::unique_ptr qr(new MockQueueRunner(&coord)); TF_ASSERT_OK(coord.RegisterRunner(std::move(qr))); EXPECT_EQ(coord.Join().code(), Code::FAILED_PRECONDITION); } TEST(CoordinatorTest, AllRunnersStopped) { Coordinator coord; MockQueueRunner* qr = new MockQueueRunner(&coord); TF_ASSERT_OK(coord.RegisterRunner(std::unique_ptr(qr))); EXPECT_FALSE(coord.AllRunnersStopped()); qr->Stop(); EXPECT_TRUE(coord.AllRunnersStopped()); } } // namespace } // namespace tensorflow