SWDEV-470698 - fix formatting, add format check workflow (#657)
Bu işleme şunda yer alıyor:
Danylo Lytovchenko authored and 
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5840940caa
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+162903
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@@ -34,106 +34,105 @@ THE SOFTWARE.
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using namespace std;
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__global__ void matrixTranspose_static_shared(float* out, float* in,
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const int width) {
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__shared__ float sharedMem[WIDTH * WIDTH];
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__global__ void matrixTranspose_static_shared(float* out, float* in, const int width) {
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__shared__ float sharedMem[WIDTH * WIDTH];
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int x = blockDim.x * blockIdx.x + threadIdx.x;
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int y = blockDim.y * blockIdx.y + threadIdx.y;
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int x = blockDim.x * blockIdx.x + threadIdx.x;
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int y = blockDim.y * blockIdx.y + threadIdx.y;
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sharedMem[y * width + x] = in[x * width + y];
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sharedMem[y * width + x] = in[x * width + y];
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__syncthreads();
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__syncthreads();
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out[y * width + x] = sharedMem[y * width + x];
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out[y * width + x] = sharedMem[y * width + x];
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}
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__global__ void matrixTranspose_dynamic_shared(float* out, float* in,
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const int width) {
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extern __shared__ float sharedMem[];
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__global__ void matrixTranspose_dynamic_shared(float* out, float* in, const int width) {
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extern __shared__ float sharedMem[];
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int x = blockDim.x * blockIdx.x + threadIdx.x;
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int y = blockDim.y * blockIdx.y + threadIdx.y;
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int x = blockDim.x * blockIdx.x + threadIdx.x;
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int y = blockDim.y * blockIdx.y + threadIdx.y;
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sharedMem[y * width + x] = in[x * width + y];
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sharedMem[y * width + x] = in[x * width + y];
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__syncthreads();
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__syncthreads();
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out[y * width + x] = sharedMem[y * width + x];
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out[y * width + x] = sharedMem[y * width + x];
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}
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void MultipleStream(float** data, float* randArray, float** gpuTransposeMatrix,
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float** TransposeMatrix, int width) {
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const int num_streams = 2;
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hipStream_t streams[num_streams];
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const int num_streams = 2;
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hipStream_t streams[num_streams];
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for (int i = 0; i < num_streams; i++) checkHipErrors(hipStreamCreate(&streams[i]));
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for (int i = 0; i < num_streams; i++) checkHipErrors(hipStreamCreate(&streams[i]));
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for (int i = 0; i < num_streams; i++) {
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checkHipErrors(hipMalloc((void**)&data[i], NUM * sizeof(float)));
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checkHipErrors(hipMemcpyAsync(data[i], randArray, NUM * sizeof(float), hipMemcpyHostToDevice, streams[i]));
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}
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for (int i = 0; i < num_streams; i++) {
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checkHipErrors(hipMalloc((void**)&data[i], NUM * sizeof(float)));
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checkHipErrors(
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hipMemcpyAsync(data[i], randArray, NUM * sizeof(float), hipMemcpyHostToDevice, streams[i]));
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}
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hipLaunchKernelGGL(matrixTranspose_static_shared,
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dim3(WIDTH / THREADS_PER_BLOCK_X, WIDTH / THREADS_PER_BLOCK_Y),
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dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y), 0, streams[0],
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gpuTransposeMatrix[0], data[0], width);
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hipLaunchKernelGGL(matrixTranspose_static_shared,
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dim3(WIDTH / THREADS_PER_BLOCK_X, WIDTH / THREADS_PER_BLOCK_Y),
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dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y), 0, streams[0],
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gpuTransposeMatrix[0], data[0], width);
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hipLaunchKernelGGL(matrixTranspose_dynamic_shared,
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dim3(WIDTH / THREADS_PER_BLOCK_X, WIDTH / THREADS_PER_BLOCK_Y),
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dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y), sizeof(float) * WIDTH * WIDTH,
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streams[1], gpuTransposeMatrix[1], data[1], width);
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hipLaunchKernelGGL(matrixTranspose_dynamic_shared,
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dim3(WIDTH / THREADS_PER_BLOCK_X, WIDTH / THREADS_PER_BLOCK_Y),
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dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y), sizeof(float) * WIDTH * WIDTH,
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streams[1], gpuTransposeMatrix[1], data[1], width);
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for (int i = 0; i < num_streams; i++)
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checkHipErrors(hipMemcpyAsync(TransposeMatrix[i], gpuTransposeMatrix[i], NUM * sizeof(float),
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hipMemcpyDeviceToHost, streams[i]));
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for (int i = 0; i < num_streams; i++)
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checkHipErrors(hipMemcpyAsync(TransposeMatrix[i], gpuTransposeMatrix[i], NUM * sizeof(float),
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hipMemcpyDeviceToHost, streams[i]));
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}
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int main() {
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checkHipErrors(hipSetDevice(0));
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checkHipErrors(hipSetDevice(0));
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float *data[2], *TransposeMatrix[2], *gpuTransposeMatrix[2], *randArray;
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float *data[2], *TransposeMatrix[2], *gpuTransposeMatrix[2], *randArray;
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int width = WIDTH;
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int width = WIDTH;
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randArray = (float*)malloc(NUM * sizeof(float));
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randArray = (float*)malloc(NUM * sizeof(float));
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TransposeMatrix[0] = (float*)malloc(NUM * sizeof(float));
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TransposeMatrix[1] = (float*)malloc(NUM * sizeof(float));
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TransposeMatrix[0] = (float*)malloc(NUM * sizeof(float));
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TransposeMatrix[1] = (float*)malloc(NUM * sizeof(float));
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checkHipErrors(hipMalloc((void**)&gpuTransposeMatrix[0], NUM * sizeof(float)));
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checkHipErrors(hipMalloc((void**)&gpuTransposeMatrix[1], NUM * sizeof(float)));
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checkHipErrors(hipMalloc((void**)&gpuTransposeMatrix[0], NUM * sizeof(float)));
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checkHipErrors(hipMalloc((void**)&gpuTransposeMatrix[1], NUM * sizeof(float)));
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for (int i = 0; i < NUM; i++) {
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randArray[i] = (float)i * 1.0f;
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for (int i = 0; i < NUM; i++) {
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randArray[i] = (float)i * 1.0f;
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}
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MultipleStream(data, randArray, gpuTransposeMatrix, TransposeMatrix, width);
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checkHipErrors(hipDeviceSynchronize());
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// verify the results
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int errors = 0;
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double eps = 1.0E-6;
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for (int i = 0; i < NUM; i++) {
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if (std::abs(TransposeMatrix[0][i] - TransposeMatrix[1][i]) > eps) {
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printf("%d stream0: %f stream1 %f\n", i, TransposeMatrix[0][i], TransposeMatrix[1][i]);
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errors++;
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}
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}
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if (errors != 0) {
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printf("FAILED: %d errors\n", errors);
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} else {
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printf("stream PASSED!\n");
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}
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MultipleStream(data, randArray, gpuTransposeMatrix, TransposeMatrix, width);
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free(randArray);
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for (int i = 0; i < 2; i++) {
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checkHipErrors(hipFree(data[i]));
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checkHipErrors(hipFree(gpuTransposeMatrix[i]));
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free(TransposeMatrix[i]);
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}
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checkHipErrors(hipDeviceSynchronize());
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// verify the results
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int errors = 0;
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double eps = 1.0E-6;
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for (int i = 0; i < NUM; i++) {
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if (std::abs(TransposeMatrix[0][i] - TransposeMatrix[1][i]) > eps) {
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printf("%d stream0: %f stream1 %f\n", i, TransposeMatrix[0][i], TransposeMatrix[1][i]);
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errors++;
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}
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}
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if (errors != 0) {
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printf("FAILED: %d errors\n", errors);
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} else {
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printf("stream PASSED!\n");
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}
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free(randArray);
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for (int i = 0; i < 2; i++) {
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checkHipErrors(hipFree(data[i]));
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checkHipErrors(hipFree(gpuTransposeMatrix[i]));
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free(TransposeMatrix[i]);
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}
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checkHipErrors(hipDeviceReset());
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return 0;
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checkHipErrors(hipDeviceReset());
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return 0;
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}
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