amilanov-amd
258 righe
8.0 KiB
C++
258 righe
8.0 KiB
C++
/*
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Copyright (c) 2022 Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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#define HIP_TEMPLATE_KERNEL_LAUNCH
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#include <hip_test_common.hh>
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#include <stdio.h>
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#include <ratio>
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#include <chrono>
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/**
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* @addtogroup hipEventCreate hipEventCreate
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* @{
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* @ingroup EventTest
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*/
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int64_t timeNanos() {
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using namespace std::chrono;
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static auto t0 = steady_clock::now();
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auto timeSpan = duration_cast<std::chrono::nanoseconds>(steady_clock::now() - t0);
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return timeSpan.count();
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}
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#define WIDTH 1024
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#define NUM (WIDTH * WIDTH)
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#define THREADS_PER_BLOCK_X 4
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#define THREADS_PER_BLOCK_Y 4
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#define THREADS_PER_BLOCK_Z 1
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__global__ void matrixTranspose(float* out, float* in, const int width) {
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int x = blockDim.x * blockIdx.x + threadIdx.x;
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int y = blockDim.y * blockIdx.y + threadIdx.y;
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out[y * width + x] = in[x * width + y];
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}
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// CPU implementation of matrix transpose
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void matrixTransposeCPUReference(float* output, float* input, const unsigned int width) {
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for (unsigned int j = 0; j < width; j++) {
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for (unsigned int i = 0; i < width; i++) {
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output[i * width + j] = input[j * width + i];
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}
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}
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}
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void thread_run(const int iThread) {
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int i = 0;
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int errors = 0;
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float eventMs = 1.0f;
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float* matrix = nullptr;
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float* transposeMatrix = nullptr;
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float* cpuTransposeMatrix = nullptr;
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float* gpuMatrix = nullptr;
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float* gpuTransposeMatrix = nullptr;
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hipDeviceProp_t devProp;
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memset(&devProp, 0, sizeof(devProp));
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HIP_CHECK(hipGetDeviceProperties(&devProp, iThread));
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fprintf(stderr, "[%d] device name = %s\n", iThread, devProp.name);
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HIP_CHECK(hipSetDevice(iThread));
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hipEvent_t start, stop;
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auto time = timeNanos();
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HIP_CHECK(hipEventCreate(&start));
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fprintf(stderr, "[%d] hipEventCreate(&start) cost cpu time %6.3fms\n", iThread,
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(timeNanos() - time) / 1000000.0);
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HIP_CHECK(hipEventCreate(&stop));
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matrix = (float*)malloc(NUM * sizeof(float));
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transposeMatrix = (float*)malloc(NUM * sizeof(float));
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cpuTransposeMatrix = (float*)malloc(NUM * sizeof(float));
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// initialize the input data
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for (i = 0; i < NUM; i++) {
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matrix[i] = (float)i * 10.0f;
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}
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// allocate the memory on the device side
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HIP_CHECK(hipMalloc((void**)&gpuMatrix, NUM * sizeof(float)));
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HIP_CHECK(hipMalloc((void**)&gpuTransposeMatrix, NUM * sizeof(float)));
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time = timeNanos();
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// Record the start event
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// The first call of hipEventRecord will trigger VirtualDevice creation that will trigger building
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// of BlitLinearSourceCode, which will cost 200+ ms.
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HIP_CHECK(hipEventRecord(start));
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fprintf(stderr, "[%d] hipEventRecord(&start) cost cpu time %6.3fms\n", iThread,
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(timeNanos() - time) / 1000000.0);
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time = timeNanos();
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// Memory transfer from host to device
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HIP_CHECK(hipMemcpy(gpuMatrix, matrix, NUM * sizeof(float), hipMemcpyHostToDevice));
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// Record the stop event
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HIP_CHECK(hipEventRecord(stop));
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HIP_CHECK(hipEventSynchronize(stop));
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HIP_CHECK(hipEventElapsedTime(&eventMs, start, stop));
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fprintf(stderr, "[%d] hipMemcpyHostToDevice cost gpu time %6.3fms, cpu time %6.3fms\n", iThread,
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eventMs, (timeNanos() - time) / 1000000.0);
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// Record the start event
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HIP_CHECK(hipEventRecord(start));
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time = timeNanos();
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// Lauching kernel from host
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hipLaunchKernelGGL(
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matrixTranspose, dim3(WIDTH / THREADS_PER_BLOCK_X, WIDTH / THREADS_PER_BLOCK_Y),
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dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y), 0, 0, gpuTransposeMatrix, gpuMatrix, WIDTH);
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// Record the stop event
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HIP_CHECK(hipEventRecord(stop));
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fprintf(stderr, "[%d] hipLaunchKernelGGL() cost cpu time %6.3fms\n", iThread,
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(timeNanos() - time) / 1000000.0);
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HIP_CHECK(hipEventSynchronize(stop));
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HIP_CHECK(hipEventElapsedTime(&eventMs, start, stop));
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fprintf(stderr, "[%d] kernel Execution cost gpu time %6.3fms, cpu time = %6.3fms\n", iThread,
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eventMs, (timeNanos() - time) / 1000000.0);
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// Record the start event
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HIP_CHECK(hipEventRecord(start));
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// Memory transfer from device to host
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HIP_CHECK(
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hipMemcpy(transposeMatrix, gpuTransposeMatrix, NUM * sizeof(float), hipMemcpyDeviceToHost));
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// Record the stop event
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HIP_CHECK(hipEventRecord(stop));
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HIP_CHECK(hipEventSynchronize(stop));
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HIP_CHECK(hipEventElapsedTime(&eventMs, start, stop));
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fprintf(stderr, "[%d] hipMemcpyDeviceToHost cost gpu time %6.3fms\n", iThread, eventMs);
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// CPU MatrixTranspose computation
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matrixTransposeCPUReference(cpuTransposeMatrix, matrix, WIDTH);
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// verify the results
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double eps = 1.0E-6;
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for (i = 0; i < NUM; i++) {
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if (std::abs(transposeMatrix[i] - cpuTransposeMatrix[i]) > eps) {
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errors++;
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}
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}
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if (errors != 0) {
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fprintf(stderr, "[%d] FAILED: %d errors\n", iThread, errors);
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} else {
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fprintf(stderr, "[%d] PASSED\n", iThread);
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}
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HIP_CHECK(hipEventDestroy(start));
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HIP_CHECK(hipEventDestroy(stop));
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// free the resources on device side
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HIP_CHECK(hipFree(gpuMatrix));
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HIP_CHECK(hipFree(gpuTransposeMatrix));
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// free the resources on host side
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free(matrix);
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free(transposeMatrix);
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free(cpuTransposeMatrix);
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REQUIRE(errors == 0);
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}
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void testEventMGpuMThreads(int nThreads = 1) {
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int iThread = 0;
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std::thread* threads = new std::thread[nThreads];
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for (iThread = 0; iThread < nThreads; iThread++) {
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threads[iThread] = std::thread(thread_run, iThread);
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}
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for (iThread = 0; iThread < nThreads; iThread++) {
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threads[iThread].join();
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}
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delete[] threads;
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}
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/**
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* Test Description
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* ------------------------
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* - Validate Event Management APIs when working with one thread.
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* Test source
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* ------------------------
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* - unit/event/Unit_hipEventMGpuMThreads.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_hipEventMGpuMThreads_1") { testEventMGpuMThreads(1); }
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/**
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* Test Description
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* ------------------------
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* - Validate Event Management APIs when working with at least two threads.
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* Test source
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* ------------------------
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* - unit/event/Unit_hipEventMGpuMThreads.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_hipEventMGpuMThreads_2", "[multigpu]") {
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int numDevices = 0;
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HIP_CHECK(hipGetDeviceCount(&numDevices));
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if (numDevices > 1) {
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testEventMGpuMThreads(numDevices);
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} else {
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SUCCEED("skipped the testcase as number of devices is less than 2");
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}
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}
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/**
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* Test Description
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* ------------------------
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* - Validate Event Management APIs when working with at least three threads.
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* Test source
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* ------------------------
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* - unit/event/Unit_hipEventMGpuMThreads.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_hipEventMGpuMThreads_3", "[multigpu]") {
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int numDevices = 0;
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HIP_CHECK(hipGetDeviceCount(&numDevices));
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if (numDevices > 1) {
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fprintf(stderr, "First round\n");
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testEventMGpuMThreads(numDevices);
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fprintf(stderr, "Second round\n");
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testEventMGpuMThreads(numDevices);
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} else {
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SUCCEED("skipped the testcase as number of devices is less than 2");
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}
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}
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/**
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* End doxygen group EventTest.
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* @}
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*/
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