69 lines
2.2 KiB
C++
69 lines
2.2 KiB
C++
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/*******************************************************************************
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* Copyright (c) 2015-2019 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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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, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include "testlayers.h"
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#include <array/ArrayOptions.h>
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#include <AffinityManager.h>
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#include <NDArray.h>
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#include <NDArrayFactory.h>
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#include <ops/declarable/headers/broadcastable.h>
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#include <MmulHelper.h>
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#include <thread>
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using namespace nd4j;
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class MultiDeviceTests : public testing::Test {
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public:
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};
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void createArrays(int limit, std::vector<NDArray*> &arrays) {
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auto deviceId = AffinityManager::currentDeviceId();
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auto numDevices = AffinityManager::numberOfDevices();
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for (int e = 0; e < limit; e++) {
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auto value = deviceId * limit + e;
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arrays[value] = NDArrayFactory::create_<float>('c', {10});
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arrays[value]->assign(value);
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//nd4j_printf("device_%i; value: [%i]; mean: [%f]\n", deviceId, value, arrays[value]->meanNumber().e<float>(0));
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}
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}
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TEST_F(MultiDeviceTests, test_multi_device_migration_1) {
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auto deviceId = AffinityManager::currentDeviceId();
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auto numDevices = AffinityManager::numberOfDevices();
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auto numArrays = 10;
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std::vector<NDArray*> arrays(numDevices * numArrays);
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// filling list of arrays on multiple threads
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for (int e = 0; e < numDevices; e++) {
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std::thread t1(createArrays, numArrays, std::ref(arrays));
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t1.join();
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}
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// at this moment all arrays are build, so we can test migration
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for (int e = 0; e < arrays.size(); e++) {
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ASSERT_NEAR((float) e, arrays[e]->meanNumber().e<float>(0), 1e-5f);
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delete arrays[e];
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}
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}
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