Chris Kitching
80120aed22
... And to use a standard, highly amusing trick for making coloured output work.
50 lines
1.4 KiB
Plaintext
50 lines
1.4 KiB
Plaintext
// RUN: %run_test hipify "%s" "%t" %cuda_args
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#include <iostream>
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__global__ void axpy(float a, float* x, float* y) {
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// CHECK: y[hipThreadIdx_x] = a * x[hipThreadIdx_x];
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y[threadIdx.x] = a * x[threadIdx.x];
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}
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int main(int argc, char* argv[]) {
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const int kDataLen = 4;
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float a = 2.0f;
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float host_x[kDataLen] = {1.0f, 2.0f, 3.0f, 4.0f};
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float host_y[kDataLen];
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// Copy input data to device.
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float* device_x;
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float* device_y;
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// CHECK: hipMalloc(&device_x, kDataLen * sizeof(float));
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cudaMalloc(&device_x, kDataLen * sizeof(float));
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// CHECK: hipMalloc(&device_y, kDataLen * sizeof(float));
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cudaMalloc(&device_y, kDataLen * sizeof(float));
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// CHECK: hipMemcpy(device_x, host_x, kDataLen * sizeof(float), hipMemcpyHostToDevice);
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cudaMemcpy(device_x, host_x, kDataLen * sizeof(float), cudaMemcpyHostToDevice);
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// Launch the kernel.
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// CHECK: hipLaunchKernelGGL(axpy, dim3(1), dim3(kDataLen), 0, 0, a, device_x, device_y);
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axpy<<<1, kDataLen>>>(a, device_x, device_y);
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// Copy output data to host.
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// CHECK: hipDeviceSynchronize();
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cudaDeviceSynchronize();
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// CHECK: hipMemcpy(host_y, device_y, kDataLen * sizeof(float), hipMemcpyDeviceToHost);
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cudaMemcpy(host_y, device_y, kDataLen * sizeof(float), cudaMemcpyDeviceToHost);
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// Print the results.
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for (int i = 0; i < kDataLen; ++i) {
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std::cout << "y[" << i << "] = " << host_y[i] << "\n";
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}
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// CHECK: hipDeviceReset();
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cudaDeviceReset();
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return 0;
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}
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