139 lines
4.3 KiB
C++
139 lines
4.3 KiB
C++
#include "convolution.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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#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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static int num_threads = 100;
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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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MPI_Request req;
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MPI_Status status;
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int size[2];
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size[0] = (mpi_world_size == 2)? _N / mpi_world_size : _N;
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size[1] = _N - size[0];
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input = _input;
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output = _output;
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filter = _filter;
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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, &req);
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MPI_Isend(filter, K * C * R * S, MPI_FLOAT, 1, 0, MPI_COMM_WORLD, &req);
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}
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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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//omp_set_num_threads(num_threads);
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if (dilation == 1 && pad == 0 && stride == 1 && !(S % 16)) {
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#pragma omp parallel for num_threads(num_threads) collapse(2) schedule(dynamic)
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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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__m256 vout0, vout1;
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vout0 = _mm256_setzero_ps();
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vout1 = _mm256_setzero_ps();
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for (int c = 0; c < C; ++c) {
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__m256 vin0, vin1, vfi0, vfi1;
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for (int r = 0; r < R; ++r) {
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for (int s = 0; s < S; s = s + 16) {
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int h = oh + r;
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int w = ow + s;
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vfi0 = _mm256_load_ps(&filter[k * C * R * S + c * R * S + r * S + s]);
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vfi1 = _mm256_load_ps(&filter[k * C * R * S + c * R * S + r * S + s + 8]);
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vin0 = _mm256_load_ps(&input[n * C * H * W + c * H * W + h * W + w]);
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vin1 = _mm256_load_ps(&input[n * C * H * W + c * H * W + h * W + w + 8]);
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vout0 = _mm256_fmadd_ps(vfi0, vin0, vout0);
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vout1 = _mm256_fmadd_ps(vfi1, vin1, vout1);
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}
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}
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}
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vout0 = _mm256_add_ps(vout0, vout1);
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float *tmp = (float*)&vout0;
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow] =
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tmp[0] + tmp[1] + tmp[2] + tmp[3] + tmp[4] + tmp[5] + tmp[6] + tmp[7];
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}
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}
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}
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}
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}
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else {
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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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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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if (mpi_rank == 0 && mpi_world_size == 2) {
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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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}
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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, &req);
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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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