/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#define EIGEN_USE_THREADS
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#include "tensorflow/core/framework/device_base.h"
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#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
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#include "tensorflow/core/common_runtime/eigen_thread_pool.h"
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#include "tensorflow/core/lib/core/threadpool.h"
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#include "tensorflow/core/platform/env.h"
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#include "tensorflow/core/platform/test.h"
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#include "tensorflow/core/util/work_sharder.h"
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namespace tensorflow {
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TEST(DeviceBaseTest, CpuDevice) {
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DeviceBase dbase(Env::Default());
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thread::ThreadPool pool(Env::Default(), "test", 16);
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EigenThreadPoolWrapper wrapper(&pool);
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Eigen::ThreadPoolDevice eigen_device(&wrapper, pool.NumThreads());
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ASSERT_FALSE(dbase.has_eigen_cpu_device());
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dbase.set_eigen_cpu_device(&eigen_device);
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ASSERT_TRUE(dbase.has_eigen_cpu_device());
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{
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auto d = dbase.eigen_cpu_device();
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EXPECT_EQ(d->numThreads(), 16);
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}
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{
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ScopedPerThreadMaxParallelism maxp(4);
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auto d = dbase.eigen_cpu_device();
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EXPECT_EQ(d->numThreads(), 4);
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}
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{
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ScopedPerThreadMaxParallelism maxp(1);
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auto d = dbase.eigen_cpu_device();
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EXPECT_EQ(d->numThreads(), 1);
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}
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{
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ScopedPerThreadMaxParallelism maxp(1000);
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auto d = dbase.eigen_cpu_device();
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EXPECT_EQ(d->numThreads(), 16);
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}
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}
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} // namespace tensorflow
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