218 lines
6.9 KiB
Plaintext
218 lines
6.9 KiB
Plaintext
#include "convolution.h"
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#include "util.h"
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#include <mpi.h>
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#include <stdio.h>
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#include <omp.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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static int thread_num = 20;
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#define MASTER_TO_SLAVE_TAG 1 //tag for messages sent from master to slaves
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#define SLAVE_TO_MASTER_TAG 4 //tag for messages sent from slaves to master
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MPI_Request request;
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MPI_Status status;
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static int min(int x, int y) {
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return x < y ? x : y;
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}
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void static convolution_micro(
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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, int start_n, int end_n) {
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input = _input;
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output = _output;
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filter = _filter;
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int cal_threads = 10;
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int cal_size = end_n - start_n;
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if(cal_size > 20) cal_threads = 20;
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else cal_threads = cal_size;
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/* int preval1_1= C * H * W;
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int preval1_2 = H * W;
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int preval2_1 = C * R * S;
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int preval2_2 = R * S;
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int preval3_1 = K * OH * OW;
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int preval3_2 = OH * OW;
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*/
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#pragma omp parallel for num_threads(cal_threads) schedule(guided, 1)
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for (int n = start_n; n < end_n; ++n) {
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//#pragma omp parallel for num_threads(cal_threads) schedule(guided, 1)
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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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}
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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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input = _input;
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output = _output;
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filter = _filter;
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int size_n;
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int start_n;
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int end_n;
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int start_n_no0;
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int end_n_no0;
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if(mpi_rank == 0){
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for(int node=0; node< mpi_world_size; node++){
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size_n = N / (mpi_world_size);
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start_n = (node)*size_n;
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if(node == 0) start_n_no0 = start_n;
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if(((node+1) == mpi_world_size) && ((N%(mpi_world_size)) != 0)){
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end_n = N;
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if(node == 0) end_n_no0 = end_n;
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}
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else{
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end_n = start_n + size_n;
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if(node == 0) end_n_no0 = end_n;
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}
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if(node >= 1){
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MPI_Send(&start_n, 1, MPI_INT, node, MASTER_TO_SLAVE_TAG, MPI_COMM_WORLD);
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//printf("SEND start_n (%d) to (%d)\n", start_n, node);
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MPI_Send(&end_n, 1, MPI_INT, node, MASTER_TO_SLAVE_TAG + 1, MPI_COMM_WORLD);
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//printf("SEND end_n (%d) to (%d)\n", end_n, node);
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int sizeBuf = (end_n - start_n) * C * H * W;
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//printf("SEND input Buff Len : (%d) to (%d)\n", sizeBuf, node);
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MPI_Send(&input[start_n*C * H * W], sizeBuf, MPI_FLOAT, node, MASTER_TO_SLAVE_TAG + 2, MPI_COMM_WORLD);
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//printf("SEND input size (%d) to (%d)\n", sizeBuf, node);
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}
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}
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}
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else{
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alloc_tensor(&input, N, C, H, W);
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MPI_Recv(&start_n, 1, MPI_INT, 0, MASTER_TO_SLAVE_TAG, MPI_COMM_WORLD, &status);
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//printf("RECV start_n (%d) at (%d)\n", start_n, mpi_rank);
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MPI_Recv(&end_n, 1, MPI_INT, 0, MASTER_TO_SLAVE_TAG + 1, MPI_COMM_WORLD, &status);
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//printf("RECV end_n (%d) at (%d)\n", end_n, mpi_rank);
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int sizeBuf = (end_n - start_n) * C * H * W;
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//printf("RECV input Buff Len : %d \n", sizeBuf);
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MPI_Recv(&input[start_n*C * H * W], sizeBuf, MPI_FLOAT, 0, MASTER_TO_SLAVE_TAG + 2, MPI_COMM_WORLD, &status);
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//printf("RECV input size (%d) at (%d)\n", sizeBuf, mpi_rank);
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}
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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){
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alloc_tensor(&filter, K, C, R, S);
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}
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MPI_Bcast(&filter[0], K*C*R*S, MPI_FLOAT, 0, MPI_COMM_WORLD);
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//printf("Bcast filter (%d) to (%d) \n", K*C*R*S, mpi_rank);
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if(mpi_rank > 0){
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alloc_tensor(&output, N, K, OH, OW);
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}
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//MPI_Bcast(&output[0], N*K*OH*OW, MPI_FLOAT, 0, MPI_COMM_WORLD);
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//printf("Bcast output (%d) to (%d) \n", N*K*OH*OW, mpi_rank);
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MPI_Barrier(MPI_COMM_WORLD);
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if(mpi_rank == 0){
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convolution_micro(input, output, filter, N, C, H, W, K, R, S, pad, dilation, stride, start_n_no0, end_n_no0);
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}
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else{
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convolution_micro(input, output, filter, N, C, H, W, K, R, S, pad, dilation, stride, start_n, end_n);
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if(mpi_rank >= 1){
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MPI_Send(&start_n, 1, MPI_INT, 0, SLAVE_TO_MASTER_TAG, MPI_COMM_WORLD);
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//printf("SEND output start_n (%d) to (%d)\n", start_n, 0);
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MPI_Send(&end_n, 1, MPI_INT, 0, SLAVE_TO_MASTER_TAG + 1, MPI_COMM_WORLD);
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//printf("SEND output end_n (%d) to (%d)\n", end_n, 0);
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int sizeBuf = (end_n - start_n) * K*OH*OW;
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//printf("SEND output Buff Len : (%d) to (%d)\n", sizeBuf, 0);
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MPI_Send(&output[start_n*K*OH*OW], sizeBuf, MPI_FLOAT, 0, SLAVE_TO_MASTER_TAG + 2, MPI_COMM_WORLD);
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//printf("SEND output size (%d) to (%d)\n", sizeBuf, 0);
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}
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}
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if(mpi_rank == 0){
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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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for (int node = 1; node < mpi_world_size; node++) {// untill all slaves have handed back the processed data
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//receive low bound from a slave
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MPI_Recv(&start_n, 1, MPI_INT, node, SLAVE_TO_MASTER_TAG, MPI_COMM_WORLD, &status);
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//receive upper bound from a slave
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MPI_Recv(&end_n, 1, MPI_INT, node, SLAVE_TO_MASTER_TAG + 1, MPI_COMM_WORLD, &status);
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//receive processed data from a slave
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MPI_Recv(&output[start_n*K*OH*OW], (end_n - start_n) * K*OH*OW, MPI_FLOAT, node, SLAVE_TO_MASTER_TAG + 2, 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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