chundoong-lab-ta/SamsungDS22/submissions/final/hs5006.kim/A/convolution.cpp

105 lines
3.0 KiB
C++

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