126 lines
3.2 KiB
C++
126 lines
3.2 KiB
C++
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#include "convolution.h"
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#include <mpi.h>
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#include <stdio.h>
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#include "util.h"
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static float *input, *output, *filter;
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static int N, C, H, W;
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static int K, R, S;
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static int OH, OW;
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static int pad;
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static int dilation;
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static int stride;
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static int mpi_rank, mpi_world_size;
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static int N_MPI;
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static int p_n, remain;
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MPI_Status status;
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MPI_Request request;
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static void convolution_omp() {
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#pragma omp parallel for collapse(3) num_threads(100) schedule(dynamic)
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// #pragma omp parallel for collapse(2) num_threads(40)
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for (int n = 0; n < p_n; ++n) {
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for (int k = 0; k < K; ++k) {
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for (int oh = 0; oh < OH; ++oh) {
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for (int ow = 0; ow < OW; ++ow) {
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float o = 0.f;
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for (int c = 0; c < C; ++c) {
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for (int r = 0; r < R; ++r) {
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for (int s = 0; s < S; ++s) {
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int h = oh * stride - pad + r * dilation;
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int w = ow * stride - pad + s * dilation;
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if (h < 0 || h >= H || w < 0 || w >= W) continue;
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float i = input[n * C * H * W + c * H * W + h * W + w];
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float f = filter[k * C * R * S + c * R * S + r * S + s];
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o += i * f;
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}
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}
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}
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o;
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}
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}
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}
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}
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}
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void convolution(
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float *_input, float *_output, float *_filter,
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int _N, int _C, int _H, int _W,
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int _K, int _R, int _S,
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int _pad, int _dilation, int _stride) {
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input = _input;
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output = _output;
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filter = _filter;
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OH = (H + 2 * pad - dilation * (R - 1) - 1) / stride + 1;
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OW = (W + 2 * pad - dilation * (S - 1) - 1) / stride + 1;
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if (mpi_rank == 0) {
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p_n = N/(N_MPI);
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remain = N%(N_MPI);
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for(int dest=1; dest< N_MPI;dest++){
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MPI_Isend(&p_n, 1, MPI_INT, dest, 1, MPI_COMM_WORLD, &request);
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MPI_Isend(&input[(p_n+remain)*C*H*W], p_n*C*H*W, MPI_FLOAT, dest, 1, MPI_COMM_WORLD, &request);
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MPI_Isend(filter, K*C*R*S, MPI_FLOAT, dest, 1, MPI_COMM_WORLD, &request);
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}
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p_n += remain;
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convolution_omp();
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for(int source=1; source< N_MPI;source++){
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MPI_Recv(&p_n, 1, MPI_INT, source, 2, MPI_COMM_WORLD, &status);
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MPI_Recv(&output[(p_n+remain)*K*OH*OW], p_n*K*OH*OW, MPI_FLOAT, source, 2, MPI_COMM_WORLD, &status);
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}
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}
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if (mpi_rank > 0){
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MPI_Recv(&p_n, 1, MPI_INT, 0, 1, MPI_COMM_WORLD, &status);
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alloc_tensor(&input, p_n, C, H, W);
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alloc_tensor(&output, p_n, K, OH, OW);
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alloc_tensor(&filter, K, C, R, S);
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zero_tensor(output, p_n, K, OH, OW);
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MPI_Recv(input, p_n*C*H*W, MPI_FLOAT, 0, 1, MPI_COMM_WORLD, &status);
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MPI_Recv(filter, K*C*R*S, MPI_FLOAT,0, 1, MPI_COMM_WORLD, &status);
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convolution_omp();
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MPI_Isend(&p_n, 1, MPI_INT, 0, 2, MPI_COMM_WORLD, &request);
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MPI_Isend(output, p_n*K*OH*OW, MPI_FLOAT, 0, 2, MPI_COMM_WORLD, &request);
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}
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}
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void convolution_init(
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int _N, int _C, int _H, int _W,
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int _K, int _R, int _S,
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int _pad, int _dilation, int _stride) {
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N = _N; C = _C; H = _H; W = _W;
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K = _K; R = _R; S = _S;
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pad = _pad;
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dilation = _dilation;
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stride = _stride;
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MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
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MPI_Comm_size(MPI_COMM_WORLD, &mpi_world_size);
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if(N < mpi_world_size) N_MPI = N;
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else N_MPI = mpi_world_size;
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}
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void convolution_final(
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int _N, int _C, int _H, int _W,
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int _K, int _R, int _S,
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int _pad, int _dilation, int _stride) {
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}
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