107 lines
2.9 KiB
C++
107 lines
2.9 KiB
C++
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#include "convolution.h"
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#include "util.h"
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#include <mpi.h>
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#include <stdio.h>
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static int mpi_rank, mpi_world_size;
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static float *input, *output, *filter;
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static int N, C, H, W, 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 size[2];
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int num_threads = 40;
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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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if ((mpi_rank == 0) && (mpi_world_size == 2))
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{
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MPI_Send(&input[size[0]*C*H*W],size[1]*C*H*W, MPI_FLOAT,1,0,MPI_COMM_WORLD);
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MPI_Send(filter,K*C*R*S,MPI_FLOAT,1,0,MPI_COMM_WORLD);
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}
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else if (mpi_world_size == 2)
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{
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alloc_tensor(&input,size[1],C,H,W);
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alloc_tensor(&output,size[1],K,OH,OW);
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alloc_tensor(&filter,K,C,R,S);
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MPI_Recv(input,size[1]*C*H*W,MPI_FLOAT,0,0,MPI_COMM_WORLD,nullptr);
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MPI_Recv(filter,K*C*R*S,MPI_FLOAT,0,0,MPI_COMM_WORLD,nullptr);
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}
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#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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for (int n = 0; n < size[mpi_rank]; ++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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#pragma omp parallel for num_threads(num_threads) schedule(dynamic)
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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_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(mpi_world_size==2)
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{
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size[1] = _N/2;
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}
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else
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{
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size[1] = 0;
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}
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size[0] = N - size[1];
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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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}
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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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if((mpi_rank == 0) && (mpi_world_size == 2)) {
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MPI_Recv(&output[size[0]*K*OH*OW],size[1]*K*OH*OW,MPI_FLOAT,1,0,MPI_COMM_WORLD,nullptr);
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}
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else if (mpi_world_size == 2) {
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MPI_Send(output,size[1]*K*OH*OW,MPI_FLOAT,0,0,MPI_COMM_WORLD);
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}
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}
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