cavis/libnd4j/tests_cpu/layers_tests/MultiDeviceTests.cpp

73 lines
2.4 KiB
C++

/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
//
// @author raver119@gmail.com
//
#include "testlayers.h"
#include <array/ArrayOptions.h>
#include <execution/AffinityManager.h>
#include <array/NDArray.h>
#include <array/NDArrayFactory.h>
#include <ops/declarable/headers/broadcastable.h>
#include <helpers/MmulHelper.h>
#include <thread>
using namespace sd;
class MultiDeviceTests : public testing::Test {
public:
};
void createArrays(int limit, std::vector<NDArray*> &arrays) {
auto deviceId = AffinityManager::currentDeviceId();
auto numDevices = AffinityManager::numberOfDevices();
for (int e = 0; e < limit; e++) {
auto value = deviceId * limit + e;
arrays[value] = NDArrayFactory::create_<float>('c', {10});
arrays[value]->assign(value);
//nd4j_printf("device_%i; value: [%i]; mean: [%f]\n", deviceId, value, arrays[value]->meanNumber().e<float>(0));
}
}
TEST_F(MultiDeviceTests, test_multi_device_migration_1) {
auto deviceId = AffinityManager::currentDeviceId();
auto numDevices = AffinityManager::numberOfDevices();
auto numArrays = 10;
std::vector<NDArray*> arrays(numDevices * numArrays);
// filling list of arrays on multiple threads
for (int e = 0; e < numDevices; e++) {
std::thread t1(createArrays, numArrays, std::ref(arrays));
t1.join();
}
// at this moment all arrays are build, so we can test migration
for (int e = 0; e < arrays.size(); e++) {
ASSERT_NEAR((float) e, arrays[e]->meanNumber().e<float>(0), 1e-5f);
delete arrays[e];
}
}