/******************************************************************************* * Copyright (c) 2019 Konduit * * 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. * * 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 #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include using namespace sd; using namespace sd::graph; class PerformanceTests : public testing::Test { public: int numIterations = 100; PerformanceTests() { samediff::ThreadPool::getInstance(); } }; #ifdef RELEASE_BUILD TEST_F(PerformanceTests, test_matmul_c_f_1) { int iterations = 500; std::vector valuesC, valuesF; for (int e = 0; e < iterations; e++) { auto xc = NDArrayFactory::create('c', {512, 2048}); auto yc = NDArrayFactory::create('c', {2048, 512}); auto zc = NDArrayFactory::create('c', {512, 512}); auto xf = NDArrayFactory::create('f', {512, 2048}); auto yf = NDArrayFactory::create('f', {2048, 512}); auto zf = NDArrayFactory::create('f', {512, 512}); auto warm = xc.like(); warm.linspace(1.0); //zc.linspace(1.0); //zf.linspace(1.0); sd::ops::matmul op; auto timeStartF = std::chrono::system_clock::now(); op.execute({&xf, &yf}, {&zf}); auto timeEndF = std::chrono::system_clock::now(); auto outerTimeF = std::chrono::duration_cast(timeEndF - timeStartF).count(); auto timeStartC = std::chrono::system_clock::now(); op.execute({&xc, &yc}, {&zc}); auto timeEndC = std::chrono::system_clock::now(); auto outerTimeC = std::chrono::duration_cast(timeEndC - timeStartC).count(); valuesF.emplace_back(outerTimeF); valuesC.emplace_back(outerTimeC); } std::sort(valuesC.begin(), valuesC.end()); std::sort(valuesF.begin(), valuesF.end()); nd4j_printf("Median time C: [%lld]; Median time F: [%lld];", valuesC[valuesC.size() / 2], valuesF[valuesF.size() / 2]); } TEST_F(PerformanceTests, test_maxpooling2d_1) { std::vector valuesX; // auto x = NDArrayFactory::create('c', {32, 3, 224, 224}); // auto z = NDArrayFactory::create('c', {32, 3, 224, 224}); auto x = NDArrayFactory::create('c', {8, 3, 64, 64}); auto z = NDArrayFactory::create('c', {8, 3, 64, 64}); x.linspace(1.0f); Nd4jLong k = 5; Nd4jLong iArgs[] {k,k, 1,1, 0,0, 1,1, 1}; Context ctx(1); ctx.setInputArray(0, &x); ctx.setOutputArray(0, &z); ctx.setIArguments(iArgs, 9); sd::ops::maxpool2d op; for (int i = 0; i < numIterations; i++) { auto timeStart = std::chrono::system_clock::now(); op.execute(&ctx); auto timeEnd = std::chrono::system_clock::now(); auto outerTime = std::chrono::duration_cast(timeEnd - timeStart).count(); valuesX.emplace_back(outerTime); if ((i + 1) % 1000 == 0) nd4j_printf("Iteration %i finished...\n", i + 1); } std::sort(valuesX.begin(), valuesX.end()); nd4j_printf("Execution time: %lld; Min: %lld; Max: %lld;\n", valuesX[valuesX.size() / 2], valuesX[0], valuesX[valuesX.size() - 1]); } #endif