Paulius Velesko
da453211ed
* test fixes * address PR comment * PR comment fixing Nvidia pass * add additional kernel launch checks * pr comments
103 líneas
3.8 KiB
C++
103 líneas
3.8 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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#include <hip_test_common.hh>
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#include <iostream>
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#include <vector>
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constexpr int NN = 1 << 21;
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__global__ void kernel_do_nothing(__attribute__((unused))int a) {
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// empty kernel
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}
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__global__ void kernel(float* x, float* y, int n) {
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size_t tid{threadIdx.x};
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if (tid < 1) {
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for (int i = 0; i < n; i++) {
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x[i] = sqrt(powf(3.14159, i));
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}
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y[tid] = y[tid] + 1.0f;
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}
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}
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__global__ void nKernel(float* y) {
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size_t tid{threadIdx.x};
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y[tid] = y[tid] + 1.0f;
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}
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TEST_CASE("Unit_hipMultiStream_sameDevice") {
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constexpr int num_streams{8};
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hipStream_t streams[num_streams];
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float *data[num_streams], *yd, *xd;
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float y{1.0f}, x{1.0f};
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HIP_CHECK(hipMalloc((void**)&yd, sizeof(float)));
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HIP_CHECK(hipMalloc((void**)&xd, sizeof(float)));
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HIP_CHECK(hipMemcpy(yd, &y, sizeof(float), hipMemcpyHostToDevice));
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HIP_CHECK(hipMemcpy(xd, &x, sizeof(float), hipMemcpyHostToDevice));
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for (int i = 0; i < num_streams; i++) {
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HIP_CHECK(hipStreamCreate(&streams[i]));
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HIP_CHECK(hipMalloc(&data[i], NN * sizeof(float)));
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hipLaunchKernelGGL(kernel, dim3(1), dim3(1), 0, streams[i], data[i], xd, NN);
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HIP_CHECK(hipGetLastError());
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hipLaunchKernelGGL(HIP_KERNEL_NAME(nKernel), dim3(1), dim3(1), 0, 0, yd);
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HIP_CHECK(hipGetLastError());
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HIP_CHECK(hipFree(data[i]));
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HIP_CHECK(hipStreamDestroy(streams[i]));
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}
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HIP_CHECK(hipMemcpy(&x, xd, sizeof(float), hipMemcpyDeviceToHost));
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HIP_CHECK(hipMemcpy(&y, yd, sizeof(float), hipMemcpyDeviceToHost));
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REQUIRE(x == Approx(y));
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}
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TEST_CASE("Unit_hipMultiStream_multimeDevice") {
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constexpr int nLoops = 50000;
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constexpr int nStreams = 2;
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std::vector<hipStream_t> streams(nStreams);
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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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INFO("No GPU for Testing");
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SUCCEED(true);
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}
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static int device = 0;
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HIP_CHECK(hipSetDevice(device));
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hipDeviceProp_t props;
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HIP_CHECK(hipGetDeviceProperties(&props, device));
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INFO("Running on Bus: " << props.pciBusID << " " << props.name);
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for (int i = 0; i < nStreams; i++) {
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HIP_CHECK(hipStreamCreate(&streams[i]));
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}
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for (int k = 0; k <= nLoops; ++k) {
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HIP_CHECK(hipDeviceSynchronize());
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// Launch kernel with default stream
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hipLaunchKernelGGL(kernel_do_nothing, dim3(1), dim3(1), 0, 0, 1);
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HIP_CHECK(hipGetLastError());
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// Launch kernel on all streams
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for (int i = 0; i < nStreams; i++) {
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hipLaunchKernelGGL(kernel_do_nothing, dim3(1), dim3(1), 0, streams[i], 1);
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HIP_CHECK(hipGetLastError());
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}
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// Sync stream 1
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HIP_CHECK(hipStreamSynchronize(streams[0]));
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if (k % 10000 == 0 || k == nLoops) {
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INFO("Iter: " << k);
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}
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}
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HIP_CHECK(hipDeviceSynchronize());
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// Clean up
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for (int i = 0; i < nStreams; i++) {
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HIP_CHECK(hipStreamDestroy(streams[i]));
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}
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}
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