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72 lines
2.4 KiB
72 lines
2.4 KiB
/* Copyright (c) 2016 PaddlePaddle 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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#include "paddle/fluid/platform/device_context.h"
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#include <vector>
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#include "glog/logging.h"
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#include "gtest/gtest.h"
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TEST(Device, Init) {
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using paddle::platform::DeviceContext;
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using paddle::platform::CUDADeviceContext;
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using paddle::platform::CUDAPlace;
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int count = paddle::platform::GetCUDADeviceCount();
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for (int i = 0; i < count; i++) {
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CUDADeviceContext* device_context = new CUDADeviceContext(CUDAPlace(i));
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Eigen::GpuDevice* gpu_device = device_context->eigen_device();
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ASSERT_NE(nullptr, gpu_device);
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delete device_context;
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}
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}
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TEST(Device, CUDADeviceContext) {
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using paddle::platform::CUDADeviceContext;
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using paddle::platform::CUDAPlace;
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int count = paddle::platform::GetCUDADeviceCount();
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for (int i = 0; i < count; i++) {
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CUDADeviceContext* device_context = new CUDADeviceContext(CUDAPlace(i));
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Eigen::GpuDevice* gpu_device = device_context->eigen_device();
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ASSERT_NE(nullptr, gpu_device);
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cudnnHandle_t cudnn_handle = device_context->cudnn_handle();
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ASSERT_NE(nullptr, cudnn_handle);
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cublasHandle_t cublas_handle = device_context->cublas_handle();
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ASSERT_NE(nullptr, cublas_handle);
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ASSERT_NE(nullptr, device_context->stream());
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delete device_context;
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}
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}
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TEST(Device, DeviceContextPool) {
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using paddle::platform::DeviceContextPool;
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using paddle::platform::CUDADeviceContext;
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using paddle::platform::Place;
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using paddle::platform::CPUPlace;
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using paddle::platform::CUDAPlace;
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DeviceContextPool& pool = DeviceContextPool::Instance();
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auto cpu_dev_ctx1 = pool.Get(CPUPlace());
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auto cpu_dev_ctx2 = pool.Get(CPUPlace());
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ASSERT_EQ(cpu_dev_ctx2, cpu_dev_ctx1);
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std::vector<Place> gpu_places;
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int count = paddle::platform::GetCUDADeviceCount();
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for (int i = 0; i < count; ++i) {
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auto dev_ctx = pool.Get(CUDAPlace(i));
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ASSERT_NE(dev_ctx, nullptr);
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}
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}
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