Add square.cu to lit testsuite
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// RUN: %run_test hipify "%s" "%t" %cuda_args
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/*
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Copyright (c) 2015-2016 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 <stdio.h>
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#include <cuda_runtime.h>
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#define CHECK(cmd) \
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{\
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cudaError_t error = cmd;\
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if (error != cudaSuccess) { \
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fprintf(stderr, "error: '%s'(%d) at %s:%d\n", cudaGetErrorString(error), error,__FILE__, __LINE__); \
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exit(EXIT_FAILURE);\
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}\
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}
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/*
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* Square each element in the array A and write to array C.
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*/
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template <typename T>
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__global__ void
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vector_square(T *C_d, const T *A_d, size_t N)
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{
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// CHECK: size_t offset = (hipBlockIdx_x * hipBlockDim_x + hipThreadIdx_x);
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// CHECK: size_t stride = hipBlockDim_x * hipGridDim_x;
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size_t offset = (blockIdx.x * blockDim.x + threadIdx.x);
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size_t stride = blockDim.x * gridDim.x;
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for (size_t i=offset; i<N; i+=stride) {
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C_d[i] = A_d[i] * A_d[i];
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}
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}
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int main(int argc, char *argv[])
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{
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float *A_d, *C_d;
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float *A_h, *C_h;
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size_t N = 1000000;
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size_t Nbytes = N * sizeof(float);
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// CHECK: hipDeviceProp_t props;
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cudaDeviceProp props;
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// CHECK: CHECK(hipGetDeviceProperties(&props, 0/*deviceID*/));
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CHECK(cudaGetDeviceProperties(&props, 0/*deviceID*/));
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printf ("info: running on device %s\n", props.name);
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printf ("info: allocate host mem (%6.2f MB)\n", 2*Nbytes/1024.0/1024.0);
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A_h = (float*)malloc(Nbytes);
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// CHECK: CHECK(A_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
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CHECK(A_h == 0 ? cudaErrorMemoryAllocation : cudaSuccess );
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C_h = (float*)malloc(Nbytes);
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// CHECK: CHECK(C_h == 0 ? hipErrorMemoryAllocation : hipSuccess );
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CHECK(C_h == 0 ? cudaErrorMemoryAllocation : cudaSuccess );
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// Fill with Phi + i
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for (size_t i=0; i<N; i++)
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{
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A_h[i] = 1.618f + i;
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}
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printf ("info: allocate device mem (%6.2f MB)\n", 2*Nbytes/1024.0/1024.0);
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// CHECK: CHECK(hipMalloc(&A_d, Nbytes));
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// CHECK: CHECK(hipMalloc(&C_d, Nbytes));
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CHECK(cudaMalloc(&A_d, Nbytes));
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CHECK(cudaMalloc(&C_d, Nbytes));
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printf ("info: copy Host2Device\n");
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// CHECK: CHECK ( hipMemcpy(A_d, A_h, Nbytes, hipMemcpyHostToDevice));
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CHECK ( cudaMemcpy(A_d, A_h, Nbytes, cudaMemcpyHostToDevice));
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const unsigned blocks = 512;
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const unsigned threadsPerBlock = 256;
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printf ("info: launch 'vector_square' kernel\n");
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// CHECK: hipLaunchKernelGGL(vector_square, dim3(blocks), dim3(threadsPerBlock), 0, 0, C_d, A_d, N);
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vector_square <<<blocks, threadsPerBlock>>> (C_d, A_d, N);
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printf ("info: copy Device2Host\n");
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// CHECK: CHECK ( hipMemcpy(C_h, C_d, Nbytes, hipMemcpyDeviceToHost));
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CHECK ( cudaMemcpy(C_h, C_d, Nbytes, cudaMemcpyDeviceToHost));
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printf ("info: check result\n");
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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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// CHECK: CHECK(hipErrorUnknown);
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CHECK(cudaErrorUnknown);
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}
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}
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printf ("PASSED!\n");
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}
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