6c23e25c86
Change-Id: If72e312461a72920b6a482009c9aef4cf92f2e1b
108 lines
3.4 KiB
C++
108 lines
3.4 KiB
C++
/*
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Copyright (c) 2023 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 WARRANNTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNNESS 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 INN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR INN 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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constexpr size_t N = 1024;
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int p_blockSize = 256;
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__global__ void
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__launch_bounds__(256, 2)
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myKern(int* C, const int* A, int N) {
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int tid = (blockIdx.x * blockDim.x + threadIdx.x);
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if (tid < N) {
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C[tid] = A[tid];
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}
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}
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/**
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* @addtogroup hipLaunchKernelGGL
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* @{
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* @ingroup KernelTest
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* `void hipLaunchKernelGGL(F kernel, const dim3& numBlocks, const dim3& dimBlocks,
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std::uint32_t sharedMemBytes, hipStream_t stream, Args... args)` -
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* Method to invocate kernel functions
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*/
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/**
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* Test Description
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* ------------------------
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* - Test case to check launch bounds via kernel call.
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* Test source
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* ------------------------
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* - catch/unit/kernel/launch_bounds.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.6
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*/
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TEST_CASE("Unit_kernel_LaunchBounds_Functional") {
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size_t Nbytes = N * sizeof(int);
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int *A_d, *C_d, *A_h, *C_h;
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HIPCHECK(hipMalloc(&A_d, Nbytes));
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HIPCHECK(hipMalloc(&C_d, Nbytes));
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A_h = reinterpret_cast<int*>(malloc(Nbytes));
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C_h = reinterpret_cast<int*>(malloc(Nbytes));
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for (int i = 0; i < N; i++) {
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A_h[i] = i * 10;
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C_h[i] = 0x0;
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}
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int blocks = N / p_blockSize;
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HIPCHECK(hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
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HIPCHECK(hipGetLastError());
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hipLaunchKernelGGL(myKern, dim3(blocks), dim3(p_blockSize), 0,
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0, C_d, A_d, N);
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#ifdef __HIP_PLATFORM_NVIDIA__
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cudaFuncAttributes attrib;
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cudaFuncGetAttributes(&attrib, myKern);
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printf("binaryVersion = %d\n", attrib.binaryVersion);
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printf("cacheModeCA = %d\n", attrib.cacheModeCA);
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printf("constSizeBytes = %zu\n", attrib.constSizeBytes);
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printf("localSizeBytes = %zud\n", attrib.localSizeBytes);
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printf("maxThreadsPerBlock = %d\n", attrib.maxThreadsPerBlock);
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printf("numRegs = %d\n", attrib.numRegs);
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printf("ptxVersion = %d\n", attrib.ptxVersion);
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printf("sharedSizeBytes = %zud\n", attrib.sharedSizeBytes);
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#endif
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HIPCHECK(hipDeviceSynchronize());
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HIPCHECK(hipGetLastError());
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HIPCHECK(hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
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HIPCHECK(hipDeviceSynchronize());
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for (int i = 0; i < N; i++) {
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int goldVal = i * 10;
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REQUIRE(C_h[i] == goldVal);
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}
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HIP_CHECK(hipFree(A_d));
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HIP_CHECK(hipFree(C_d));
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free(A_h);
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free(C_h);
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}
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/**
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* End doxygen group KernelTest.
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* @}
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*/
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