chundoong-lab-ta/SamsungDS22/submissions/final/junjip.lee/A/convolution.cpp

#include "convolution.h"
#include <mpi.h>
#include <stdio.h>
#include "util.h"
#include <omp.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;

#if 1
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 mpi_work[2];
  MPI_Request request;
  MPI_Status status;

  input = _input;
  output = _output;
  filter = _filter;

  if (mpi_world_size == 2)  //NODE 2
  {
    mpi_work[1] = _N / 2;
    mpi_work[0] = _N - (_N / 2);
  }
  else //NODE 1
  {
    mpi_work[0] = N;
  } 
  

  OH = (H + 2 * pad - dilation * (R - 1) - 1) / stride + 1;
  OW = (W + 2 * pad - dilation * (S - 1) - 1) / stride + 1;
   
  if (mpi_world_size == 2) {

    if (mpi_rank == 0 )
    {
      MPI_Isend(&input[mpi_work[0]*C*H*W], mpi_work[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);
     // printf("%s %d mpi_rank %d \n",__func__,__LINE__,mpi_rank);
    }
    else
    {
      alloc_tensor(&input, mpi_work[1], C, H, W);
      alloc_tensor(&output, mpi_work[1], K, OH, OW);
      alloc_tensor(&filter, K, C, R, S);
      MPI_Recv(input, mpi_work[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);
     //   printf("%s %d mpi_rank %d \n",__func__,__LINE__,mpi_rank);
    }
  }
  omp_set_num_threads(num_threads);

/*  
#pragma omp parallel for num_threads(num_threads) schedule(dynamic)
    for (int n = 0; n < mpi_work[mpi_rank]; ++n) {
#pragma omp parallel for num_threads(num_threads) schedule(dynamic)
      for (int k = 0; k < K; ++k) {
#pragma omp parallel for num_threads(num_threads) schedule(dynamic)
        for (int oh = 0; oh < OH; ++oh) {

*/
#pragma omp parallel for num_threads(num_threads) schedule(dynamic) collapse(3) 
    for (int n = 0; n < mpi_work[mpi_rank]; ++n) {
      for (int k = 0; k < K; ++k) {
        for (int oh = 0; oh < OH; ++oh) {          
#pragma omp parallel for num_threads(num_threads) schedule(dynamic)
          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;
                } 
              } 
            } 
            output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o;
          } 
        } 
      } 
    } 


  if (mpi_world_size == 2) {
    if (mpi_rank == 0 )
    {
      MPI_Recv(&output[mpi_work[0]*K*OH*OW], mpi_work[1]*K*OH*OW, MPI_FLOAT, 1, 0, MPI_COMM_WORLD, &status);
    }
    else{
    MPI_Isend(output, mpi_work[1]*K*OH*OW, MPI_FLOAT, 0, 0, MPI_COMM_WORLD, &request);
    }
  }
 
 

}


#else
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) {
  input = _input;
  output = _output;
  filter = _filter;

  OH = (H + 2 * pad - dilation * (R - 1) - 1) / stride + 1;
  OW = (W + 2 * pad - dilation * (S - 1) - 1) / stride + 1;
  
  if (mpi_rank == 0) {

    for (int n = 0; n < N; ++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;
                }
              }
            }
            output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o;
          }
        }
      }
    }

  }
}
#endif


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) {


}