Maneesh Gupta
118 linhas
2.9 KiB
C++
118 linhas
2.9 KiB
C++
/*
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Copyright (c) 2015-2017 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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// Collection of code to make sure that various features in the hip kernel language compile.
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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 "hip/hip_runtime.h"
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#include <test_common.h>
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#ifdef __HCC__
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#include <hc.hpp>
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#endif
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// cudaA
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// Simple tests for variable type qualifiers:
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__device__ int deviceVar;
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// TODO-HCC __constant__ not working yet.
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__constant__ int constantVar1;
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__constant__ __device__ int constantVar2;
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// Test HOST space:
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__host__ void foo() { printf("foo!\n"); }
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__device__ __noinline__ int sum1_noinline(int a) { return a + 1; };
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__device__ __forceinline__ int sum1_forceinline(int a) { return a + 1; };
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__device__ __host__ float PlusOne(float x) { return x + 1.0; }
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__global__ void MyKernel(const float* a, const float* b, float* c,
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unsigned N) {
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// KERNELBEGIN;
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unsigned gid = threadIdx.x;
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if (gid < N) {
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c[gid] = a[gid] + PlusOne(b[gid]);
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}
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// KERNELEND;
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}
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void callMyKernel() {
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float *a, *b, *c;
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const unsigned blockSize = 256;
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unsigned N = blockSize;
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hipLaunchKernelGGL(MyKernel, dim3(N / blockSize), dim3(blockSize), 0, 0, a, b, c, N);
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}
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template <typename T>
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__global__ void vectorADD(T __restrict__* A_d, T* B_d, T* C_d, size_t N) {
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// KERNELBEGIN;
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#ifdef NOT_YET
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int a = __shfl_up(x, 1);
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#endif
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float x = 1.0;
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float z = sin(x);
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#ifdef NOT_YET
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float fastZ = __sin(x);
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#endif
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#ifdef __HCC__
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int b = threadIdx.x;
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int c;
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atomicAdd(&c, b);
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#endif
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__syncthreads();
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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] + B_d[i];
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}
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// KERNELEND;
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}
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int main() {
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printf("Hello world\n");
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passed();
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}
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