chundoong-lab-ta/SamsungDS22/submissions/final/dk2003.lim/A/convolution.cpp

121 lines
3.5 KiB
C++

#include "convolution.h"
#include "util.h"
#include <mpi.h>
#include <stdio.h>
static float *input, *output, *filter;
static int N, C, H, W;
static int K, R, S;
static int OH, OW;
static int pad;
static int dilation;
static int stride;
static int mpi_rank, mpi_world_size;
int num_threads = 40;
int Nsize[2];
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;
//printf("mpi_world_size = %d\n", mpi_world_size);
// Assign more data for (mpi_rank = 0)
if(mpi_world_size == 2) Nsize[1] = _N / 2;
else Nsize[1] = 0;
Nsize[0] = _N - Nsize[1];
OH = (H + 2 * pad - dilation * (R - 1) - 1) / stride + 1;
OW = (W + 2 * pad - dilation * (S - 1) - 1) / stride + 1;
if(mpi_rank == 0 && mpi_world_size == 2) {
MPI_Isend(&input[Nsize[0]*C*H*W], Nsize[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, Nsize[1], C, H, W);
alloc_tensor(&output, Nsize[1], K, OH, OW);
alloc_tensor(&filter, K, C, R, S);
MPI_Recv(input, Nsize[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);
}
// if (mpi_rank == 0) {
//#pragma omp parallel for schedule(dynamic) num_threads(num_threads)
//#pragma omp parallel for schedule(dynamic)
//#pragma omp parallel for schedule(dynamic) num_threads(80)
//#pragma omp parallel for schedule(dynamic) num_threads(80) collapse(2)
//#pragma omp parallel for schedule(dynamic) num_threads(num_threads) collapse(3)
#pragma omp parallel for schedule(dynamic) num_threads(80) collapse(3)
//for (int n = 0; n < N; ++n) {
for (int n = 0; n < Nsize[mpi_rank]; ++n) {
for (int k = 0; k < K; ++k) {
for (int oh = 0; oh < OH; ++oh) {
for (int ow = 0; ow < OW; ++ow) {
float o = 0.f;
for (int c = 0; c < C; ++c) {
for (int r = 0; r < R; ++r) {
for (int 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;
} // for s
} // for r
} // for c
output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o;
} // for ow
} // for oh
} // for k
} // for n
// }
// Gather the output
if(mpi_rank==0 && mpi_world_size == 2) {
MPI_Recv(&output[Nsize[0]*K*OH*OW], Nsize[1]*K*OH*OW, MPI_FLOAT, 1, 0, MPI_COMM_WORLD, &status);
}
else if(mpi_world_size == 2) {
MPI_Isend(output, Nsize[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) {
}