Merge branch 'master' into amd-master-next
Conflicts: CMakeLists.txt tests/src/texture/simpleTexture2DLayered.cpp tests/src/texture/simpleTexture3D.cpp Change-Id: I4aa4754d391b5f37ddf15fa0bcfc84d9da020119
This commit is contained in:
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/*
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Copyright (c) 2015-present 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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/* HIT_START
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* BUILD: %t %s ../test_common.cpp
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* TEST: %t
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* HIT_END
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*/
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#include <iostream>
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#include <hip/hip_runtime.h>
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#include "test_common.h"
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#define WIDTH 4
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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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// Device (Kernel) function, it must be void
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template <typename T>
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__global__ void matrixTranspose(T* out, T* in, const int width) {
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int x = hipBlockDim_x * hipBlockIdx_x + hipThreadIdx_x;
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T val = in[x];
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for (int i = 0; i < width; i++) {
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for (int j = 0; j < width; j++) out[i * width + j] = __shfl(val, j * width + i);
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}
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}
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// CPU implementation of matrix transpose
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template <typename T>
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void matrixTransposeCPUReference(T* output, T* 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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template<typename T>
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void runTest() {
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T* Matrix;
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T* TransposeMatrix;
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T* cpuTransposeMatrix;
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T* gpuMatrix;
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T* gpuTransposeMatrix;
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hipDeviceProp_t devProp;
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hipGetDeviceProperties(&devProp, 0);
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int i;
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int errors;
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Matrix = (T*)malloc(NUM * sizeof(T));
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TransposeMatrix = (T*)malloc(NUM * sizeof(T));
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cpuTransposeMatrix = (T*)malloc(NUM * sizeof(T));
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// initialize the input data
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for (i = 0; i < NUM; i++) {
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Matrix[i] = (T)i * 10l;
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}
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// allocate the memory on the device side
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hipMalloc((void**)&gpuMatrix, NUM * sizeof(T));
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hipMalloc((void**)&gpuTransposeMatrix, NUM * sizeof(T));
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// Memory transfer from host to device
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hipMemcpy(gpuMatrix, Matrix, NUM * sizeof(T), hipMemcpyHostToDevice);
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// Lauching kernel from host
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hipLaunchKernelGGL(matrixTranspose<T>, dim3(1), dim3(THREADS_PER_BLOCK_X * THREADS_PER_BLOCK_Y), 0, 0,
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gpuTransposeMatrix, gpuMatrix, WIDTH);
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// Memory transfer from device to host
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hipMemcpy(TransposeMatrix, gpuTransposeMatrix, NUM * sizeof(T), hipMemcpyDeviceToHost);
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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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errors = 0;
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double eps = 1.0E-6;
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for (i = 0; i < NUM; i++) {
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if (TransposeMatrix[i] != cpuTransposeMatrix[i]) {
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errors++;
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}
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}
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// free the resources on device side
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hipFree(gpuMatrix);
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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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if (errors != 0) {
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failed("Mismatch present");
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}
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}
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int main() {
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runTest<int>();
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runTest<float>();
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runTest<long>();
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runTest<long long>();
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passed();
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}
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@@ -0,0 +1,102 @@
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/*
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Copyright (c) 2015-present 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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/* HIT_START
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* BUILD: %t %s ../test_common.cpp
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* TEST: %t
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* HIT_END
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*/
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#include <iostream>
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#include <hip/hip_runtime.h>
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#include "test_common.h"
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template <typename T>
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__global__ void shflDownSum(T* a, int size) {
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T val = a[threadIdx.x];
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for (int i = size / 2; i > 0; i /= 2) {
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val += __shfl_down(val, i, size);
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}
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a[threadIdx.x] = val;
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}
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template <typename T>
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__global__ void shflUpSum(T* a, int size) {
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T val = a[threadIdx.x];
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for (int i = size / 2; i > 0; i /= 2) {
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val += __shfl_up(val, i, size);
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}
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a[threadIdx.x] = val;
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}
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template <typename T>
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void runTestShflUp() {
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const int size = 32;
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T a[size];
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T cpuSum = 0;
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for (int i = 0; i < size; i++) {
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a[i] = i;
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cpuSum += a[i];
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}
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T* d_a;
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hipMalloc(&d_a, sizeof(T) * size);
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hipMemcpy(d_a, &a, sizeof(T) * size, hipMemcpyDefault);
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hipLaunchKernelGGL(shflUpSum<T>, 1, size, 0, 0, d_a, size);
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hipMemcpy(&a, d_a, sizeof(T) * size, hipMemcpyDefault);
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if (a[size - 1] != cpuSum) {
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hipFree(d_a);
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failed("Shfl Up Sum did not match.");
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}
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hipFree(d_a);
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}
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template <typename T>
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void runTestShflDown() {
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const int size = 32;
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T a[size];
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T cpuSum = 0;
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for (int i = 0; i < size; i++) {
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a[i] = i;
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cpuSum += a[i];
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}
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T* d_a;
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hipMalloc(&d_a, sizeof(T) * size);
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hipMemcpy(d_a, &a, sizeof(T) * size, hipMemcpyDefault);
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hipLaunchKernelGGL(shflDownSum<T>, 1, size, 0, 0, d_a, size);
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hipMemcpy(&a, d_a, sizeof(T) * size, hipMemcpyDefault);
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if (a[0] != cpuSum) {
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hipFree(d_a);
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failed("Shfl Up Sum did not match.");
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}
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hipFree(d_a);
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}
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int main() {
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runTestShflUp<int>();
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runTestShflUp<float>();
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runTestShflUp<long>();
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runTestShflUp<long long>();
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runTestShflDown<int>();
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runTestShflDown<float>();
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runTestShflDown<long>();
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runTestShflDown<long long>();
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passed();
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}
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