105 lines
3.0 KiB
C++
105 lines
3.0 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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int num_threads = 40;
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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 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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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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int size[2];
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MPI_Request request;
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MPI_Status status;
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input = _input;
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output = _output;
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filter = _filter;
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if (mpi_world_size == 2)
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size[1] = _N / 2;
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else
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size[1] = 0;
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size[0] = _N - size[1];
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int OH = (_H + 2 * _pad - dilation * (_R - 1) - 1) / _stride + 1;
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int OW = (_W + 2 * _pad - dilation * (_S - 1) - 1) / _stride + 1;
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if(mpi_rank == 0 && mpi_world_size == 2) {
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MPI_Isend(&input[size[0]*_C*_H*_W], size[1]*_C*_H*_W, MPI_FLOAT, 1, 0, MPI_COMM_WORLD, &request);
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MPI_Isend(filter, _K*_C*_R*_S, MPI_FLOAT, 1, 0, MPI_COMM_WORLD, &request);
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}
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else if (mpi_world_size == 2) {
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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, &status);
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MPI_Recv(filter, _K*_C*_R*_S, MPI_FLOAT, 0, 0, MPI_COMM_WORLD, &status);
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}
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int n, k, oh, ow, c, r, s;
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#pragma omp parallel for num_threads(num_threads) private(n,k,oh,ow,c,r,s) collapse(3) schedule(dynamic)
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for (n = 0; n < size[mpi_rank]; ++n) {
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for (k = 0; k < _K; ++k) {
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for (oh = 0; oh < OH; ++oh) {
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for (ow = 0; ow < OW; ++ow) {
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float o = 0.f;
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for (c = 0; c < _C; ++c) {
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for (r = 0; r < _R; ++r) {
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for (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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} // s
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} // r
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} // c
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o;
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} // ow
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} // oh
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} // k
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} // n
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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, &status);
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}
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else if (mpi_world_size == 2) {
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MPI_Isend(output, size[1]*_K*OH*OW, MPI_FLOAT, 0, 0, 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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}
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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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