197 lines
6.1 KiB
C++
197 lines
6.1 KiB
C++
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#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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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;
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#if 0
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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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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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for (int n = 0; n < N; ++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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}
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#else
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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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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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// Divide input to nodes (# of nodes: 1 ~ 2)
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int N_s[mpi_world_size], N_e[mpi_world_size];
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int K_s[mpi_world_size], K_e[mpi_world_size];
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if (N != 1) {
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for (int i = 0; i < mpi_world_size; i++) {
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N_s[i] = N / mpi_world_size * i;
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N_e[i] = N / mpi_world_size * (i + 1);
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K_s[i] = 0;
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K_e[i] = K;
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}
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N_e[mpi_world_size - 1] = N;
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}
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else if (K != 1) { // N = 1
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for (int i = 0; i < mpi_world_size; i++) {
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N_s[i] = 0;
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N_e[i] = N;
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K_s[i] = K / mpi_world_size * i;
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K_e[i] = K / mpi_world_size * (i + 1);
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}
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K_e[mpi_world_size - 1] = K;
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}
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else { // N = 1 & K = 1
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for (int i = 0; i < mpi_world_size; i++) {
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N_s[i] = 0;
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N_e[i] = N;
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K_s[i] = 0;
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K_e[i] = K;
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}
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if (mpi_world_size == 2) { //Use single node
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N_e[1] = 0;
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K_e[1] = 0;
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}
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}
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// Scatter
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if (mpi_rank == 0) {
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for (int i = 1; i < mpi_world_size; i++) {
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MPI_Send(&input[N_s[i] * C * H * W], ((N_e[i] - N_s[i]) * C * H * W), MPI_FLOAT, i, 0, MPI_COMM_WORLD);
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MPI_Send(&filter[K_s[i] * C * R * S], ((K_e[i] - K_s[i]) * C * R * S), MPI_FLOAT, i, 0, MPI_COMM_WORLD);
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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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alloc_tensor(&output, N, K, OH, OW);
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alloc_tensor(&filter, K, C, R, S);
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MPI_Recv(&input[N_s[mpi_rank] * C * H * W], ((N_e[mpi_rank] - N_s[mpi_rank]) * C * H * W), MPI_FLOAT, 0, 0, MPI_COMM_WORLD, nullptr);
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MPI_Recv(&filter[K_s[mpi_rank] * C * R * S], ((K_e[mpi_rank] - K_s[mpi_rank]) * C * R * S), MPI_FLOAT, 0, 0, MPI_COMM_WORLD, nullptr);
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}
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// Compute convolution
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#pragma omp parallel for num_threads(num_threads) collapse(3) schedule(dynamic)
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for (int n = N_s[mpi_rank]; n < N_e[mpi_rank]; ++n) {
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for (int k = K_s[mpi_rank]; k < K_e[mpi_rank]; ++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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// Gather output
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if (mpi_rank == 0) {
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for (int i = 1; i < mpi_world_size; i++) {
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if (N != 1) {
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MPI_Recv(&output[N_s[i] * K_e[i] * OH * OW], ((N_e[i] - N_s[i]) * (K_e[i] - K_s[i]) * OH * OW), MPI_FLOAT, i, 1, MPI_COMM_WORLD, nullptr);
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}
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else if (K != 1) {
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MPI_Recv(&output[N_e[i] * K_s[i] * OH * OW], ((N_e[i] - N_s[i]) * (K_e[i] - K_s[i]) * OH * OW), MPI_FLOAT, i, 1, MPI_COMM_WORLD, nullptr);
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}
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else {
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MPI_Recv(&output[N_e[i] * K_e[i] * OH * OW], ((N_e[i] - N_s[i]) * (K_e[i] - K_s[i]) * OH * OW), MPI_FLOAT, i, 1, MPI_COMM_WORLD, nullptr);
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}
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}
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} else {
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if (N != 1) {
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MPI_Send(&output[N_s[mpi_rank] * K_e[mpi_rank] * OH * OW], ((N_e[mpi_rank] - N_s[mpi_rank]) * (K_e[mpi_rank] - K_s[mpi_rank]) * OH * OW), MPI_FLOAT, 0, 1, MPI_COMM_WORLD);
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}
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else if (K != 1) {
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MPI_Send(&output[N_e[mpi_rank] * K_s[mpi_rank] * OH * OW], ((N_e[mpi_rank] - N_s[mpi_rank]) * (K_e[mpi_rank] - K_s[mpi_rank]) * OH * OW), MPI_FLOAT, 0, 1, MPI_COMM_WORLD);
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}
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else {
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MPI_Send(&output[N_e[mpi_rank] * K_e[mpi_rank] * OH * OW], ((N_e[mpi_rank] - N_s[mpi_rank]) * (K_e[mpi_rank] - K_s[mpi_rank]) * OH * OW), MPI_FLOAT, 0, 1, MPI_COMM_WORLD);
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}
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}
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}
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#endif
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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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num_threads = 100;
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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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