472 lines
14 KiB
C++
472 lines
14 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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* Copyright (c) 2019 Konduit K.K.
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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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// Created by raver119 on 20.11.17.
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//
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#include "testlayers.h"
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#include <Graph.h>
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#include <chrono>
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#include <Node.h>
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#include <ops/declarable/CustomOperations.h>
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#include <graph/profiling/GraphProfilingHelper.h>
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#include <type_conversions.h>
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#include <helpers/threshold.h>
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#include <helpers/MmulHelper.h>
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#include <ops/ops.h>
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#include <OmpLaunchHelper.h>
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#include <GradCheck.h>
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#include <ops/declarable/helpers/im2col.h>
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#include <Loops.h>
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#include <RandomLauncher.h>
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#include <ops/declarable/helpers/convolutions.h>
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#include <helpers/BenchmarkHelper.h>
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#include <ops/declarable/helpers/scatter.h>
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#include <helpers/ConstantShapeHelper.h>
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#include <helpers/ConstantTadHelper.h>
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#include <array>
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#include <performance/benchmarking/FullBenchmarkSuit.h>
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#include <performance/benchmarking/LightBenchmarkSuit.h>
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#include <ops/declarable/helpers/legacy_helpers.h>
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using namespace nd4j;
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using namespace nd4j::graph;
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class PlaygroundTests : public testing::Test {
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public:
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int numIterations = 3;
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int poolSize = 10;
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PlaygroundTests() {
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printf("\n");
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fflush(stdout);
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}
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};
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TEST_F(PlaygroundTests, test_avx) {
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nd4j_printf("Optimal level: %i; Binary level: %i;\n", ::optimalLevel(), ::binaryLevel());
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}
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/*
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TEST_F(PlaygroundTests, test_s_0) {
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auto x = NDArrayFactory::create<float>('c', {32, 112, 112, 16});
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auto y = NDArrayFactory::create<float>('c', {16});
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auto z = x.ulike();
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std::vector<Nd4jLong> values;
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Context ctx(1);
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ctx.setInputArray(0, &x);
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ctx.setInputArray(1, &y);
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ctx.setOutputArray(0, &z);
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nd4j::ops::biasadd op;
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for (int e = 0; e < 10000; e++) {
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auto timeStart = std::chrono::system_clock::now();
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op.execute(&ctx);
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::microseconds> (timeEnd - timeStart).count();
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values.emplace_back(outerTime);
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}
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std::sort(values.begin(), values.end());
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nd4j_printf("Time: %lld us;\n", values[values.size() / 2]);
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}
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*/
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/*
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TEST_F(PlaygroundTests, test_s_1) {
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auto x0 = NDArrayFactory::create<float>('c', {32, 7, 7, 176});
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auto x1 = x0.ulike();
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auto x2 = x0.ulike();
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auto x3 = x0.ulike();
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auto x4 = x0.ulike();
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auto x5 = x0.ulike();
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auto y = NDArrayFactory::create<int >(3);
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auto z = NDArrayFactory::create<float>('c', {32, 7, 7, 1056});
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Context ctx(1);
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ctx.setInputArray(0, &x0);
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ctx.setInputArray(1, &x1);
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ctx.setInputArray(2, &x2);
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ctx.setInputArray(3, &x3);
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ctx.setInputArray(4, &x4);
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ctx.setInputArray(5, &x5);
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ctx.setInputArray(6, &y);
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ctx.setOutputArray(0, &z);
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ctx.setBArguments({true});
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std::vector<Nd4jLong> values;
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nd4j::ops::concat op;
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op.execute(&ctx);
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for (int e = 0; e < 1000; e++) {
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auto timeStart = std::chrono::system_clock::now();
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op.execute(&ctx);
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::microseconds> (timeEnd - timeStart).count();
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values.emplace_back(outerTime);
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}
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std::sort(values.begin(), values.end());
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nd4j_printf("Time: %lld us;\n", values[values.size() / 2]);
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}
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*/
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/*
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TEST_F(PlaygroundTests, test_s_1) {
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auto t = ::runLightBenchmarkSuit(true);
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delete[] t;
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}
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TEST_F(PlaygroundTests, test_s_2) {
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std::atomic<int> s;
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s = 0;
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auto func = PRAGMA_THREADS_FOR {
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s++;
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};
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samediff::Threads::parallel_for(func, 0, 8192, 1, 4);
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std::vector<Nd4jLong> values;
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for (int e = 0; e < 100000; e++) {
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s = 0;
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auto timeStart = std::chrono::system_clock::now();
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//samediff::Threads::parallel_for(func, 0, 8192, 1, 4);
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PRAGMA_OMP_PARALLEL_THREADS(4) {
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s++;
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}
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::nanoseconds> (timeEnd - timeStart).count();
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values.emplace_back(outerTime);
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};
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std::sort(values.begin(), values.end());
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nd4j_printf("Time: %lld;\n", values[values.size() / 2]);
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}
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*/
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/*
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TEST_F(PlaygroundTests, test_s_4) {
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std::atomic<float> f;
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std::atomic<int> s;
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std::vector<Nd4jLong> valuesX, valuesY;
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int iterations = 1000;
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s = 0;
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auto func = PRAGMA_THREADS_FOR {
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s++;
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};
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samediff::Threads::parallel_for(func, 0, 8192, 1, 4);
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////////
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auto x = NDArrayFactory::create<float>('c', {32, 3, 256, 256});
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auto z = NDArrayFactory::create<float>('c', {32, 3, 256, 256});
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x.linspace(1.0);
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auto xs0 = x.sizeAt(0);
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auto xs1 = x.sizeAt(1);
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auto xs2 = x.sizeAt(2);
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auto xs3 = x.sizeAt(3);
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auto buffer = x.bufferAsT<float>();
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auto zbuffer = z.bufferAsT<float>();
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for (int e = 0; e < iterations; e++) {
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auto timeStart = std::chrono::system_clock::now();
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PRAGMA_OMP_PARALLEL_FOR_COLLAPSE(2)
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for (int i = 0; i < xs0; i++) {
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for (int j = 0; j < xs1; j++) {
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auto thread_id = omp_get_thread_num();
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for (int k = 0; k < xs2; k++) {
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for (int l = 0; l < xs3; l++) {
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zbuffer[thread_id] += buffer[i * j + (k*l)] * 2.5f;
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}
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}
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}
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}
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::nanoseconds>(timeEnd - timeStart).count();
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valuesX.emplace_back(outerTime);
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}
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for (int e = 0; e < iterations; e++) {
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auto timeStart = std::chrono::system_clock::now();
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auto f2d = PRAGMA_THREADS_FOR_2D {
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for (auto i = start_x; i < stop_x; i++) {
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for (auto j = start_y; j < stop_y; j++) {
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for (auto k = 0; k < xs2; k++) {
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for (auto l = 0; l < xs3; l++) {
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zbuffer[thread_id] += buffer[i * j + (k * l)] * 2.5f;
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}
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}
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}
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}
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};
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samediff::Threads::parallel_for(f2d, 0, xs0, 1, 0, xs1, 1);
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::nanoseconds>(timeEnd - timeStart).count();
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valuesY.emplace_back(outerTime);
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}
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if (valuesX.size() > 0) {
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std::sort(valuesX.begin(), valuesX.end());
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nd4j_printf("OpenMP time: %lld; Min: %lld; Max: %lld;\n", valuesX[valuesX.size() / 2], valuesX[0], valuesX[valuesX.size() - 1]);
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}
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if (valuesY.size() > 0) {
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std::sort(valuesY.begin(), valuesY.end());
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nd4j_printf("Threads time: %lld; Min: %lld; Max: %lld;\n", valuesY[valuesY.size() / 2], valuesY[0], valuesY[valuesY.size() - 1]);
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}
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nd4j_printf("Sum: %f\n", z.sumNumber().e<float>(0));
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}
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TEST_F(PlaygroundTests, test_s_5) {
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auto x = NDArrayFactory::create<float>('c', {32, 1, 28, 28});
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std::vector<Nd4jLong> values;
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auto iterations = 100;
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auto startX = 0;
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auto stopX = x.sizeAt(0);
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auto incX = 1;
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auto startY = 0;
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auto stopY = x.sizeAt(1);
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auto incY = 1;
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auto numThreads = 4;
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// number of elements per loop
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auto delta_x = (stopX - startX);
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auto delta_y = (stopY - startY);
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// number of iterations per loop
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auto itersX = delta_x / incX;
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auto itersY = delta_y / incY;
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for (int e = 0; e < iterations; e++) {
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auto timeStart = std::chrono::system_clock::now();
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// picking best fit here
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auto splitLoop = samediff::ThreadsHelper::pickLoop2d(numThreads, itersX, itersY);
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auto span = samediff::Span2::build(splitLoop, 0, numThreads, startX, stopX, incX, startY, stopY, incY);
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::nanoseconds>(timeEnd - timeStart).count();
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values.emplace_back(outerTime);
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}
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std::sort(values.begin(), values.end());
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nd4j_printf("Calculations time: [Median: %lld; Min: %lld; Max: %lld;]\n", values[values.size() / 2], values[0], values[values.size()-1]);
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}
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TEST_F(PlaygroundTests, test_s_6) {
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auto x = NDArrayFactory::create<float>('c', {1024 * 1024 * 64});
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auto buffer = x.bufferAsT<float>();
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auto len = x.lengthOf();
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std::vector<Nd4jLong> values;
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auto iterations = 1000;
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for (int i = 0; i < iterations; i++) {
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auto timeStart = std::chrono::system_clock::now();
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// picking best fit here
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for (int e = 0; e < len; e++) {
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buffer[e] = (buffer[e] + 1.72f) * 3.17f - 0.0012f;
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}
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::nanoseconds>(timeEnd - timeStart).count();
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values.emplace_back(outerTime);
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}
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std::sort(values.begin(), values.end());
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nd4j_printf("Calculations time: [Median: %lld; Min: %lld; Max: %lld;]\n", values[values.size() / 2], values[0], values[values.size()-1]);
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}
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TEST_F(PlaygroundTests, test_s_3) {
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std::atomic<int> s;
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s = 0;
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auto func = PRAGMA_THREADS_FOR {
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s++;
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};
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for (int e = 0; e < 10000; e++) {
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samediff::Threads::parallel_for(func, 0, 8192, 1, 4);
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}
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}
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*/
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/*
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TEST_F(PlaygroundTests, test_relubp_1) {
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auto x = NDArrayFactory::create<float>('c', {128, 64, 224, 224});
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auto y = x.ulike();
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auto z = x.ulike();
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RandomGenerator rng(119, 120);
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RandomLauncher::fillUniform(LaunchContext::defaultContext(), rng, &x, -1.0, 1.0);
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RandomLauncher::fillUniform(LaunchContext::defaultContext(), rng, &y, -1.0, 1.0);
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int iterations = 10;
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auto timeStart = std::chrono::system_clock::now();
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for (int e = 0; e < iterations; e++)
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ops::helpers::reluDerivative(LaunchContext::defaultContext(), &x, &y, &z);
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auto timeEnd = std::chrono::system_clock::now();
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auto outerTime = std::chrono::duration_cast<std::chrono::microseconds> (timeEnd - timeStart).count();
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auto time = (Nd4jLong) outerTime / iterations;
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auto bw = (1000000L * (float) (x.lengthOf() * x.sizeOfT()) / time) / 1024 / 1024 / 1024;
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nd4j_printf("Time: %lld; BW: %f GB/s\n", time, bw);
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}
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//////////////////////////////////////////////////////////////////////
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TEST_F(PlaygroundTests, my) {
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int bS=8, iD=32,iH=32,iW=32, iC=128, kD=2,kH=2,kW=2, sD=1,sH=1,sW=1, pD=0,pH=0,pW=0, dD=2,dH=2,dW=2;
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int oD,oH,oW;
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nd4j::ops::ConvolutionUtils::calcOutSizeDeconv3D(oD, oH, oW, kD, kH, kW, sD, sH, sW, pD, pH, pW, dD, dH, dW, iD, iH, iW, 0);
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printf("!!%i, %i, %i\n", oD,oH,oW);
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NDArray col('c', {bS, iC, kD, kH, kW, iD, iH, iW}, nd4j::DataType::DOUBLE);
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NDArray vol('c', {bS, iC, oD, oH, oW}, nd4j::DataType::DOUBLE);
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col = 3.77;
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vol = -10.33;
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auto variableSpace = new VariableSpace();
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auto block = new Context(1, variableSpace, false); // not-in-place
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auto timeStart = std::chrono::system_clock::now();
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nd4j::ops::ConvolutionUtils::col2vol(*block, col, vol, sD, sH, sW, pD, pH, pW, dD, dH, dW);
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auto timeEnd = std::chrono::system_clock::now();
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auto time = std::chrono::duration_cast<std::chrono::microseconds> (timeEnd - timeStart).count();
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printf("time: %i \n", time);
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delete block;
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delete variableSpace;
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}
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TEST_F(PlaygroundTests, my) {
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int bS=32, iD=32,iH=64,iW=64, iC=128, kD=2,kH=2,kW=2, sD=1,sH=1,sW=1, pD=0,pH=0,pW=0, dD=2,dH=2,dW=2;
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int oD,oH,oW;
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// nd4j::ops::ConvolutionUtils::calcOutSizeDeconv3D(oD, oH, oW, kD, kH, kW, sD, sH, sW, pD, pH, pW, dD, dH, dW, iD, iH, iW, 0);
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nd4j::ops::ConvolutionUtils::calcOutSizeDeconv2D(oH, oW, kH, kW, sH, sW, pH, pW,dH, dW, iH, iW, 0);
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printf("!!%i, %i, %i\n", oD,oH,oW);
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// NDArray col('c', {bS, iC, kD, kH, kW, iD, iH, iW}, nd4j::DataType::DOUBLE);
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// NDArray vol('c', {bS, iC, oD, oH, oW}, nd4j::DataType::DOUBLE);
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NDArray col('c', {bS, iC, kH, kW, iH, iW}, nd4j::DataType::DOUBLE);
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NDArray im('c', {bS, iC, oH, oW}, nd4j::DataType::DOUBLE);
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col = 3.77;
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// vol = -10.33;
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im = -10.33;
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auto variableSpace = new VariableSpace();
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auto block = new Context(1, variableSpace, false); // not-in-place
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auto timeStart = std::chrono::system_clock::now();
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// nd4j::ops::ConvolutionUtils::col2vol(*block, col, vol, sD, sH, sW, pD, pH, pW, dD, dH, dW);
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nd4j::ops::helpers::col2im(*col.getContext(), col, im, sH, sW, pH, pW, iH, iW, dH, dW);
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auto timeEnd = std::chrono::system_clock::now();
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auto time = std::chrono::duration_cast<std::chrono::microseconds> (timeEnd - timeStart).count();
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printf("time: %i \n", time);
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delete block;
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delete variableSpace;
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}
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#include<ops/declarable/helpers/batchnorm.h>
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TEST_F(PlaygroundTests, my) {
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const int N = 10000;
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const Nd4jLong dim0(128), dim1(128), dim2(128);
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NDArray input('c', {dim0,dim1,dim2}, nd4j::DataType::DOUBLE);
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NDArray mean('c', {dim1}, nd4j::DataType::DOUBLE);
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NDArray variance('c', {dim1}, nd4j::DataType::DOUBLE);
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NDArray gamma('c', {dim1}, nd4j::DataType::DOUBLE);
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NDArray beta ('c', {dim1}, nd4j::DataType::DOUBLE);
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NDArray output('c', {dim0,dim1,dim2}, nd4j::DataType::DOUBLE);
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input.linspace(-100, 0.1);
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mean.linspace(-50, 0.15);
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variance.linspace(-5, 0.2);
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gamma = 1.5;
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beta = -2.5;
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// warm up
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ops::helpers::batchnorm(&input, &mean, &variance, &gamma, &beta, &output, {1}, 1e-5);
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auto timeStart = std::chrono::system_clock::now();
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for (int i = 0; i < N; ++i)
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ops::helpers::batchnorm(&input, &mean, &variance, &gamma, &beta, &output, {1}, 1e-5);
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auto timeEnd = std::chrono::system_clock::now();
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auto time = std::chrono::duration_cast<std::chrono::microseconds> ((timeEnd - timeStart)/N).count();
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printf("time: %li \n", time);
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}
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*/
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