391 lines
15 KiB
C++
391 lines
15 KiB
C++
#include "convolution.h"
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#include <mpi.h>
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#include <stdio.h>
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#include "util.h"
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#include <immintrin.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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int num_threads = 100;
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void convolution1(
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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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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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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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} 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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#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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for (int n = 0; n < size[mpi_rank]; ++n) {
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//#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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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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}
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}
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}
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}
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if (mpi_rank == 0 && mpi_world_size == 2)
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{
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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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} 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 convolution8(
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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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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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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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} 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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#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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for (int n = 0; n < size[mpi_rank]; ++n) {
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//#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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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=s+8) {
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int h = oh * stride - pad + r * dilation;
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int w = ow * stride - pad + s * 8 * dilation;
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int w1 = ow * stride - pad + (s *8 + 1) * dilation;
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int w2 = ow * stride - pad + (s *8 + 2) * dilation;
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int w3 = ow * stride - pad + (s *8 + 3) * dilation;
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int w4 = ow * stride - pad + (s *8 + 4) * dilation;
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int w5 = ow * stride - pad + (s *8 + 5) * dilation;
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int w6 = ow * stride - pad + (s *8 + 6) * dilation;
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int w7 = ow * stride - pad + (s *8 + 7) * 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 i1 = input[n * C * H * W + c * H * W + h * W + w1];
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float i2 = input[n * C * H * W + c * H * W + h * W + w2];
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float i3 = input[n * C * H * W + c * H * W + h * W + w3];
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float i4 = input[n * C * H * W + c * H * W + h * W + w4];
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float i5 = input[n * C * H * W + c * H * W + h * W + w5];
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float i6 = input[n * C * H * W + c * H * W + h * W + w6];
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float i7 = input[n * C * H * W + c * H * W + h * W + w7];
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float f = filter[k * C * R * S + c * R * S + r * S + s*8];
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float f1 = filter[k * C * R * S + c * R * S + r * S + s*8+1];
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float f2 = filter[k * C * R * S + c * R * S + r * S + s*8+2];
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float f3 = filter[k * C * R * S + c * R * S + r * S + s*8+3];
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float f4 = filter[k * C * R * S + c * R * S + r * S + s*8+4];
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float f5 = filter[k * C * R * S + c * R * S + r * S + s*8+5];
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float f6 = filter[k * C * R * S + c * R * S + r * S + s*8+6];
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float f7 = filter[k * C * R * S + c * R * S + r * S + s*8+7];
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o += i * f;
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o += i1 * f1;
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o += i2 * f2;
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o += i3 * f3;
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o += i4 * f4;
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o += i5 * f5;
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o += i6 * f6;
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o += i7 * f7;
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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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}
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}
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}
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}
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if (mpi_rank == 0 && mpi_world_size == 2)
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{
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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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} 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 convolutionsimd(
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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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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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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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} 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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#pragma omp parallel for num_threads(num_threads) collapse(3)
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for (int n = 0; n < size[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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for (int ow = 0; ow < OW/8; ow=ow+8) {
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//float o = 0.f;
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__m256 o = _mm256_set_ps(0.,0.,0.,0.,0.,0.,0.,0.);
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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/8; s=s+8) {
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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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/*int w = ow * stride - pad + s * 4 * dilation;
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int w1 = ow * stride - pad + (s *4 + 1) * dilation;
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int w2 = ow * stride - pad + (s *4 + 2) * dilation;
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int w3 = ow * stride - pad + (s *4 + 3) * dilation;*/
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if (h < 0 || h >= H || w < 0 || w >= W) continue;
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__m256 i = _mm256_load_ps(&input[n * C * H * W + c * H * W + h * W + w]);
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/*float i = input[n * C * H * W + c * H * W + h * W + w];
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float i1 = input[n * C * H * W + c * H * W + h * W + w1];
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float i2 = input[n * C * H * W + c * H * W + h * W + w2];
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float i3 = input[n * C * H * W + c * H * W + h * W + w3]; */
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__m256 f = _mm256_load_ps(&filter[k * C * R * S + c * R * S + r * S + s]);
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/*float f = filter[k * C * R * S + c * R * S + r * S + s*4];
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float f1 = filter[k * C * R * S + c * R * S + r * S + s*4+1];
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float f2 = filter[k * C * R * S + c * R * S + r * S + s*4+2];
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float f3 = filter[k * C * R * S + c * R * S + r * S + s*4+3]; */
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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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output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o[0];
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow+1] = o[1];
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow+2] = o[2];
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow+3] = o[3];
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow+4] = o[4];
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow+5] = o[5];
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow+6] = o[6];
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow+7] = o[7];
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}
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}
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}
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}
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if (mpi_rank == 0 && mpi_world_size == 2)
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{
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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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} 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 convolution4(
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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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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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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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} 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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#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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//#pragma omp parallel for num_threads(num_threads) collapse(3)
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for (int n = 0; n < size[mpi_rank]; ++n) {
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//#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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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/4; ++s) {
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int h = oh * stride - pad + r * dilation;
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int w = ow * stride - pad + s * 4 * dilation;
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int w1 = ow * stride - pad + (s *4 + 1) * dilation;
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int w2 = ow * stride - pad + (s *4 + 2) * dilation;
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int w3 = ow * stride - pad + (s *4 + 3) * 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 i1 = input[n * C * H * W + c * H * W + h * W + w1];
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float i2 = input[n * C * H * W + c * H * W + h * W + w2];
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float i3 = input[n * C * H * W + c * H * W + h * W + w3];
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float f = filter[k * C * R * S + c * R * S + r * S + s*4];
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float f1 = filter[k * C * R * S + c * R * S + r * S + s*4+1];
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float f2 = filter[k * C * R * S + c * R * S + r * S + s*4+2];
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float f3 = filter[k * C * R * S + c * R * S + r * S + s*4+3];
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o += i * f;
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o += i1 * f1;
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o += i2 * f2;
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o += i3 * f3;
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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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}
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}
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}
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}
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if (mpi_rank == 0 && mpi_world_size == 2)
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{
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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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} 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(
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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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//if(_S % 8 == 0)
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// convolution8(_input,_output,_filter,_N,_C,_H,_W,_K,_R,_S,_pad,_dilation,_stride);
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//convolutionsimd(_input,_output,_filter,_N,_C,_H,_W,_K,_R,_S,_pad,_dilation,_stride);
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if(_S % 4 == 0)
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convolution4(_input,_output,_filter,_N,_C,_H,_W,_K,_R,_S,_pad,_dilation,_stride);
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else
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convolution1(_input,_output,_filter,_N,_C,_H,_W,_K,_R,_S,_pad,_dilation,_stride);
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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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