#include "convolution.h" #include #include #include "util.h" static float *input, *output, *filter; static int N, C, H, W; static int K, R, S; static int OH, OW; static int pad; static int dilation; static int stride; static int mpi_rank, mpi_world_size; static int N_MPI; static int chs, remain; MPI_Status status; MPI_Request request; static void convolution_omp() { #pragma omp parallel for collapse(2) num_threads(20) for (int n = 0; n < chs; ++n) { for (int k = 0; k < K; ++k) { for (int oh = 0; oh < OH; ++oh) { for (int ow = 0; ow < OW; ++ow) { float o = 0.f; for (int c = 0; c < C; ++c) { for (int r = 0; r < R; ++r) { for (int s = 0; s < S; ++s) { int h = oh * stride - pad + r * dilation; int w = ow * stride - pad + s * dilation; if (h < 0 || h >= H || w < 0 || w >= W) continue; float i = input[n * C * H * W + c * H * W + h * W + w]; float f = filter[k * C * R * S + c * R * S + r * S + s]; o += i * f; } } } output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o; } } } } } void convolution( float *_input, float *_output, float *_filter, int _N, int _C, int _H, int _W, int _K, int _R, int _S, int _pad, int _dilation, int _stride) { input = _input; output = _output; filter = _filter; OH = (H + 2 * pad - dilation * (R - 1) - 1) / stride + 1; OW = (W + 2 * pad - dilation * (S - 1) - 1) / stride + 1; printf("[SSS0] chs=%d remain=%d mpi_rank=%d\n",chs,remain,mpi_rank); if (mpi_rank == 0) { chs = N/(N_MPI); remain = N%(N_MPI); printf("[SSS1] chs=%d C=%d, H=%d, W=%d remain=%d\n",chs,remain,C, H, W); MPI_Isend(&chs, 1, MPI_INT, 1, 1, MPI_COMM_WORLD, &request); MPI_Isend(&input[(chs+remain)*C*H*W], chs*C*H*W, MPI_FLOAT, 1, 1, MPI_COMM_WORLD, &request); // MPI_Isend(&filter, K*C*R*S, MPI_FLOAT, 1, 1, MPI_COMM_WORLD, &request); chs += remain; convolution_omp(); // MPI_Recv(&chs, 1, MPI_INT, 1, 2, MPI_COMM_WORLD, &status); // MPI_Recv(&output[(chs+remain)*K*OH*OW], chs*K*OH*OW, MPI_FLOAT, 1, 2, MPI_COMM_WORLD, &status); } if (mpi_rank == 1){ MPI_Recv(&chs, 1, MPI_INT, 0, 1, MPI_COMM_WORLD, &status); printf("[SSS2] chs=%d C=%d, H=%d, W=%d remain=%d\n",chs,remain,C, H, W); alloc_tensor(&input, chs, C, H, W); alloc_tensor(&output, chs, K, OH, OW); alloc_tensor(&filter, K, C, R, S); MPI_Recv(&input, chs*C*H*W, MPI_FLOAT, 0, 1, MPI_COMM_WORLD, &status); // MPI_Recv(&filter, K*C*R*S, MPI_FLOAT,0, 1, MPI_COMM_WORLD, &status); // convolution_omp(); // MPI_Isend(&chs, 1, MPI_INT, 0, 2, MPI_COMM_WORLD, &request); // MPI_Isend(&output, chs*K*OH*OW, MPI_FLOAT, 0, 2, MPI_COMM_WORLD, &request); } } void convolution_init( int _N, int _C, int _H, int _W, int _K, int _R, int _S, int _pad, int _dilation, int _stride) { N = _N; C = _C; H = _H; W = _W; K = _K; R = _R; S = _S; pad = _pad; dilation = _dilation; stride = _stride; MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank); MPI_Comm_size(MPI_COMM_WORLD, &mpi_world_size); if(N < mpi_world_size) N_MPI = N; else N_MPI = mpi_world_size; } void convolution_final( int _N, int _C, int _H, int _W, int _K, int _R, int _S, int _pad, int _dilation, int _stride) { }