125 lines
3.8 KiB
Plaintext
125 lines
3.8 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2015-2018 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 <NDArray.h>
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#include <ShapeUtils.h>
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#include <reduce3.h>
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#include <ops/declarable/LegacyTransformOp.h>
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#include <ops/declarable/LegacyPairwiseTransformOp.h>
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#include <ops/declarable/LegacyScalarOp.h>
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#include <ops/declarable/LegacyReduceSameOp.h>
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#include <ops/declarable/LegacyReduceFloatOp.h>
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#include <ops/declarable/LegacyIndexReduceOp.h>
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#include <ops/declarable/LegacyBroadcastOp.h>
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#include <helpers/TAD.h>
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#include <helpers/ConstantTadHelper.h>
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#include <thread>
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#include <execution/AffinityManager.h>
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using namespace nd4j;
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using namespace nd4j::ops;
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class LaunchContextCudaTests : public testing::Test {
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//
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};
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void acquireContext(int threadId, int &deviceId) {
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deviceId = AffinityManager::currentDeviceId();
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nd4j_printf("Creating thread: [%i]; assigned deviceId: [%i];\n", threadId, deviceId);
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auto lc = LaunchContext::defaultContext();
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nd4j_printf("LC: [%p]\n", lc);
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nd4j_printf("reductionPtr: [%p]; stream: [%p];\n", lc->getReductionPointer(), lc->getCudaStream());
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}
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TEST_F(LaunchContextCudaTests, basic_test_1) {
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int deviceA, deviceB;
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std::thread threadA(acquireContext, 0, std::ref(deviceA));
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std::thread threadB(acquireContext, 1, std::ref(deviceB));
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threadA.join();
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threadB.join();
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nd4j_printf("All threads joined\n","");
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if (AffinityManager::numberOfDevices() > 1)
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ASSERT_NE(deviceA, deviceB);
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}
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void fillArray(int tid, std::vector<NDArray*> &arrays) {
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auto array = NDArrayFactory::create_<int>('c', {3, 10});
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nd4j_printf("Array created on device [%i]\n", AffinityManager::currentDeviceId());
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array->assign(tid);
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arrays[tid] = array;
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}
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TEST_F(LaunchContextCudaTests, basic_test_2) {
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std::vector<NDArray*> arrays(2);
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std::thread threadA(fillArray, 0, std::ref(arrays));
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std::thread threadB(fillArray, 1, std::ref(arrays));
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threadA.join();
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threadB.join();
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for (int e = 0; e < 2; e++) {
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auto array = arrays[e];
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ASSERT_EQ(e, array->e<int>(0));
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delete array;
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}
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}
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void initAffinity(int tid, std::vector<int> &aff) {
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auto affinity = AffinityManager::currentDeviceId();
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aff[tid] = affinity;
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nd4j_printf("Thread [%i] affined with device [%i]\n", tid, affinity);
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}
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TEST_F(LaunchContextCudaTests, basic_test_3) {
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auto totalThreads = AffinityManager::numberOfDevices() * 4;
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nd4j_printf("Total threads: %i\n", totalThreads);
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std::vector<int> affinities(totalThreads);
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for (int e = 0; e < totalThreads; e++) {
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std::thread thread(initAffinity, e, std::ref(affinities));
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thread.join();
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}
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std::vector<int> hits(AffinityManager::numberOfDevices());
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std::fill(hits.begin(), hits.end(), 0);
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// we need to make sure all threads were attached to "valid" devices
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for (int e = 0; e < totalThreads; e++) {
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auto aff = affinities[e];
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ASSERT_TRUE(aff >= 0 && aff < AffinityManager::numberOfDevices());
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hits[aff]++;
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}
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// now we check if all devices got some threads
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for (int e = 0; e < AffinityManager::numberOfDevices(); e++) {
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ASSERT_GT(hits[e], 0);
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}
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} |