179 lines
4.0 KiB
C++
179 lines
4.0 KiB
C++
#include "convolution.h"
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#include <mpi.h>
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#include <stdio.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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#include "util.h"
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#define MASTER 0
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#define FROM_MASTER 1
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#define FROM_WORKER 2
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static int Ndiv_rev[2];
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static void mat_conv() {
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#pragma omp parallel for num_threads(1024) collapse(3) schedule(dynamic)
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for (int n = 0; n < Ndiv_rev[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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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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//input[n * C * H * W + c * H * W + h * W + w];
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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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int Ndiv, Nextra, dest;
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int src;
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int numworkers, mtype;
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MPI_Status status;
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MPI_Request request;
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numworkers = mpi_world_size-1;
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Ndiv = N/mpi_world_size;
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Nextra = N%mpi_world_size;
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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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int CHW = C*H*W;
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int KCRS = K*C*R*S;
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int KOHOW = K*OH*OW;
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Ndiv_rev[1] = Ndiv+Nextra ;
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Ndiv_rev[0] = Ndiv;
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// WORKER initialize
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if (mpi_rank > 0 && mpi_world_size==2) {
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alloc_tensor(&input , Ndiv_rev[1], C, H, W);
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alloc_tensor(&output, Ndiv_rev[1], K, OH, OW);
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alloc_tensor(&filter, K, C, R, S);
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}
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// 1. MASTER send to WORKER
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if (mpi_rank == 0) {
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input = _input;
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output = _output;
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filter = _filter;
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mtype = FROM_MASTER;
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for (dest=1; dest<=numworkers; dest++)
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{
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MPI_Isend(&input[Ndiv_rev[0]*CHW] ,Ndiv_rev[1]*CHW, MPI_FLOAT, dest, mtype, MPI_COMM_WORLD, &request);
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MPI_Isend(&filter[0] , KCRS, MPI_FLOAT, dest, mtype, MPI_COMM_WORLD, &request);
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}
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}
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else { // 2. WORKER rcv from MASTER
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mtype = FROM_MASTER;
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MPI_Recv(&input[0] , Ndiv_rev[1]*CHW, MPI_FLOAT, MASTER , mtype, MPI_COMM_WORLD, &status);
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MPI_Recv(&filter[0] , KCRS, MPI_FLOAT, MASTER , mtype, MPI_COMM_WORLD, &status);
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mat_conv();
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//printf("\nrank div off %f, %f, %f \n", output[0], output[1], output[2]);
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// WORKER send to MASTER
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mtype = FROM_WORKER;
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MPI_Isend(&output[0] , Ndiv_rev[1]*KOHOW, MPI_FLOAT, MASTER, mtype, MPI_COMM_WORLD, &request);
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//output[n * K *OH *OW + k *OH *OW + oh *OW + ow] = o;
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//input[n * C * H * W + c * H * W + h * W + w];
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}
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//MASTER EXECUTE
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if (mpi_rank == 0) {
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mat_conv();
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mtype = FROM_WORKER;
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for (src=1; src<=numworkers; src++)
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{
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MPI_Recv(&output[Ndiv_rev[0]*KOHOW], Ndiv_rev[1]*KOHOW, MPI_FLOAT, src , mtype, MPI_COMM_WORLD, &status);
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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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}
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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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