dkrottap
4e1a3ff850
Migrated all module related files to CATCH2 framework and optimized to have single module kernel file Change-Id: I39aa28ef22c1b2f4d0014ca32b59b9c645b725dc
129 satır
4.7 KiB
C++
129 satır
4.7 KiB
C++
/*
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Copyright (c) 2021 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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/* This testfile verifies the basic functionality of
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hipExtLaunchMultiKernelMultiDevice API.
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It can be tested on single GPU or multi GPUs.
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*/
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#include <hip_test_kernels.hh>
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#include <hip_test_checkers.hh>
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#include "hip/hip_runtime.h"
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#define MAX_GPUS 8
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#define NUM_KERNEL_ARGS 3
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/*
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This testcase verifies hipExtLaunchMultiKernelMultiDevice API for different
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datatypes where
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1. Intitialize device variables
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2. Initializing hipLaunchParams structure to pass it to
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hipExtLaunchMultiKernelMultiDevice API
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3. Launches vector_square kernel which performs square of the variable
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4. Validates the result with the square of variable.
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*/
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TEMPLATE_TEST_CASE("Unit_hipExtLaunchMultiKernelMultiDevice_Basic", "", int
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, float, double) {
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TestType *A_d[MAX_GPUS], *C_d[MAX_GPUS];
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TestType *A_h, *C_h;
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size_t N = 1000000;
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size_t Nbytes = N * sizeof(TestType);
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int nGpu = 0;
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HIP_CHECK(hipGetDeviceCount(&nGpu));
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if (nGpu < 1) {
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SUCCEED("info: didn't find any GPU! Skipping the testcase");
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} else {
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if (nGpu > MAX_GPUS) {
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nGpu = MAX_GPUS;
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}
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HipTest::initArrays<TestType>(nullptr, nullptr, nullptr,
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&A_h, nullptr, &C_h, N, false);
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const unsigned blocks = 512;
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const unsigned threadsPerBlock = 256;
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// Allocating and initializing device variables
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hipStream_t stream[MAX_GPUS];
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for (int i = 0; i < nGpu; i++) {
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HIP_CHECK(hipSetDevice(i));
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HIP_CHECK(hipStreamCreateWithFlags(&stream[i], hipStreamNonBlocking));
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hipDeviceProp_t props;
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HIP_CHECK(hipGetDeviceProperties(&props, i/*deviceID*/));
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INFO("Running on bus 0x" << props.pciBusID << " " << props.name);
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INFO("Allocate device mem " << 2*Nbytes/1024.0/1024.0);
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HIP_CHECK(hipMalloc(&A_d[i], Nbytes));
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HIP_CHECK(hipMalloc(&C_d[i], Nbytes));
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HIP_CHECK(hipMemcpy(A_d[i], A_h, Nbytes, hipMemcpyHostToDevice));
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}
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hipLaunchParams *launchParamsList = reinterpret_cast<hipLaunchParams *>(
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malloc(sizeof(hipLaunchParams)*nGpu));
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void *args[MAX_GPUS * NUM_KERNEL_ARGS];
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// Intializing the hipLaunchParams structure with device variables
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// ,kernel and launching hipExtLaunchMultiKernelMultiDevice API
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for (int i = 0; i < nGpu; i++) {
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args[i * NUM_KERNEL_ARGS] = &A_d[i];
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args[i * NUM_KERNEL_ARGS + 1] = &C_d[i];
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args[i * NUM_KERNEL_ARGS + 2] = &N;
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launchParamsList[i].func =
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reinterpret_cast<void *>(HipTest::vector_square<TestType>);
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launchParamsList[i].gridDim = dim3(blocks);
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launchParamsList[i].blockDim = dim3(threadsPerBlock);
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launchParamsList[i].sharedMem = 0;
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launchParamsList[i].stream = stream[i];
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launchParamsList[i].args = args + i * NUM_KERNEL_ARGS;
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}
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hipExtLaunchMultiKernelMultiDevice(launchParamsList, nGpu, 0);
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// Validating the result
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for (int j = 0; j < nGpu; j++) {
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hipStreamSynchronize(stream[j]);
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hipDeviceProp_t props;
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HIP_CHECK(hipGetDeviceProperties(&props, j/*deviceID*/));
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INFO("Checking result on bus " << props.pciBusID << props.name);
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HIP_CHECK(hipSetDevice(j));
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HIP_CHECK(hipMemcpy(C_h, C_d[j], Nbytes, hipMemcpyDeviceToHost));
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for (size_t i = 0; i < N; i++) {
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if (C_h[i] != A_h[i] * A_h[i]) {
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INFO("validation failed " << C_h[i] << A_h[i]*A_h[i]);
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REQUIRE(false);
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}
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}
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}
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// DeAllocating memory
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HipTest::freeArrays<TestType>(nullptr, nullptr, nullptr,
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A_h, nullptr, C_h, false);
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for (int j = 0; j < nGpu; j++) {
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HIP_CHECK(hipFree(A_d[j]));
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HIP_CHECK(hipFree(C_d[j]));
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HIP_CHECK(hipStreamDestroy(stream[j]));
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}
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}
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}
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