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em-steps.c
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em-steps.c
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/*
** Probabilistic latent semantic analysis (PLSA, multiprocessor version)
** Copyright (C) 2009-2010 by Raymond Wan ([email protected])
**
** This program is free software: you can redistribute it and/or modify
** it under the terms of the GNU General Public License as published by
** the Free Software Foundation, either version 3 of the License, or
** (at your option) any later version.
**
** This program is distributed in the hope that it will be useful,
** but WITHOUT ANY WARRANTY; without even the implied warranty of
** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
** GNU General Public License for more details.
**
** You should have received a copy of the GNU General Public License
** along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <limits.h>
#include <math.h> /* log10 function */
#include <stdbool.h>
#include <time.h>
#include "PLSA_MP_Config.h"
#if HAVE_MPI
#include <mpi.h>
#endif
#include "wmalloc.h"
#include "plsa-defn.h"
#include "em-steps.h"
void swapPrevCurr (INFO *info) {
PROBNODE *probw1_z_temp;
PROBNODE *probw2_z_temp;
PROBNODE *probz_temp;
time_t start;
time_t end;
time (&start);
probw1_z_temp = info -> probw1_z_prev;
probw2_z_temp = info -> probw2_z_prev;
probz_temp = info -> probz_prev;
info -> probw1_z_prev = info -> probw1_z_curr;
info -> probw2_z_prev = info -> probw2_z_curr;
info -> probz_prev = info -> probz_curr;
info -> probw1_z_curr = probw1_z_temp;
info -> probw2_z_curr = probw2_z_temp;
info -> probz_curr = probz_temp;
time (&end);
info -> swapPrevCurr_time += difftime (end, start);
return;
}
void initEM (INFO *info) {
unsigned int num_clusters = info -> num_clusters;
unsigned int i; /* Index into w1 */
unsigned int j; /* Index into w2 */
unsigned int k; /* Index into clusters */
PROBNODE sum;
time_t start;
time_t end;
time (&start);
PROGRESS_MSG ("Begin initialization...");
/* Assign probabilities to probz */
sum = 0.0;
for (k = 0; k < num_clusters; k++) {
GET_PROBZ_CURR (k) = RANDOM_FLOAT;
sum += GET_PROBZ_CURR (k);
}
for (k = 0; k < num_clusters; k++) {
GET_PROBZ_CURR (k) = DOLOG (GET_PROBZ_CURR (k) / sum);
}
/* Assign probabilities to probw1_z */
for (i = 0; i < (info -> num_clusters * info -> m); i++) {
info -> probw1_z_curr[i] = RANDOM_FLOAT;
}
for (k = 0; k < num_clusters; k++) {
sum = 0.0;
for (i = 0; i < info -> m; i++) {
sum += GET_PROBW1_Z_CURR (k, i);
}
for (i = 0; i < info -> m; i++) {
GET_PROBW1_Z_CURR (k, i) = DOLOG (GET_PROBW1_Z_CURR (k, i) / sum);
}
}
/* Assign probabilities to probw2_z */
for (i = 0; i < (info -> num_clusters * info -> n); i++) {
info -> probw2_z_curr[i] = RANDOM_FLOAT;
}
for (k = 0; k < num_clusters; k++) {
sum= 0.0;
for (j = 0; j < info -> n; j++) {
sum += GET_PROBW2_Z_CURR (k, j);
}
for (j = 0; j < info -> n; j++) {
GET_PROBW2_Z_CURR (k, j) = DOLOG (GET_PROBW2_Z_CURR (k, j) / sum);
}
}
PROGRESS_MSG ("Initialization complete...");
time (&end);
info -> initEM_time += difftime (end, start);
return;
}
void applyEMStep (INFO *info) {
unsigned int i = 0; /* Index into w1 */
unsigned int j = 0; /* Index into w2 */
signed int k = 0; /* Index into clusters, local to this processor */
register unsigned int pos_j; /* Actual position in the cooccurrence array */
register unsigned int cos_count; /* Number of cooccurrences in each row */
PROBNODE temp;
PROBNODE cos;
bool *flag_z = NULL;
bool **flag_w1_z = NULL;
bool **flag_w2_z = NULL;
time_t start;
time_t end;
time (&start);
/*******************************************************/
/* Initialize flags that indicate whether the cell is so far untouched */
flag_z = wmalloc (info -> block_size * sizeof (bool));
for (k = 0; k < info -> block_size; k++) {
flag_z[k] = false;
}
flag_w1_z = wmalloc (info -> block_size * sizeof (bool*));
for (k = 0; k < info -> block_size; k++) {
flag_w1_z[k] = wmalloc (info -> m * sizeof (bool));
for (i = 0; i < info -> m; i++) {
flag_w1_z[k][i] = false;
}
}
flag_w2_z = wmalloc (info -> block_size * sizeof (bool*));
for (k = 0; k < info -> block_size; k++) {
flag_w2_z[k] = wmalloc (info -> n * sizeof (bool));
for (j = 0; j < info -> n; j++) {
flag_w2_z[k][j] = false;
}
}
/*******************************************************/
/* Update probabilities */
#if HAVE_OPENMP
#pragma omp parallel for private(i,cos_count,pos_j,j,cos,temp)
#endif
for (k = 0; k < info -> block_size; k++) {
for (i = 0; i < info -> m; i++) {
cos_count = GET_COS_POSITION (i, 0);
for (pos_j = 1; pos_j <= cos_count; pos_j++) {
j = GET_COS_POSITION (i, pos_j);
cos = GET_COS (i, pos_j);
temp = (GET_PROBZ_W1W2_PREV (k, i, j)) - GET_PROB_W1W2 (i, j);
/* probz */
if (flag_z[k]) {
logSumsInline (GET_PROBZ_CURR (k), cos + temp);
}
else {
GET_PROBZ_CURR (k) = cos + temp;
flag_z[k] = true;
}
/* probw1_z */
if (flag_w1_z[k][i]) {
logSumsInline (GET_PROBW1_Z_CURR (k, i), cos + temp);
}
else {
GET_PROBW1_Z_CURR (k, i) = cos + temp;
flag_w1_z[k][i] = true;
}
/* probw2_z */
if (flag_w2_z[k][j]) {
logSumsInline (GET_PROBW2_Z_CURR (k, j), cos + temp);
}
else {
GET_PROBW2_Z_CURR (k, j) = cos + temp;
flag_w2_z[k][j] = true;
}
}
}
}
/*******************************************************/
/* Uninitialize flags */
wfree (flag_z);
for (k = 0; k < info -> block_size; k++) {
wfree (flag_w1_z[k]);
wfree (flag_w2_z[k]);
}
wfree (flag_w1_z);
wfree (flag_w2_z);
time (&end);
info -> applyEMStep_time += difftime (end, start);
return;
}
PROBNODE calculateML (INFO *info) {
unsigned int num_clusters = info -> num_clusters;
signed int i; /* Index into w1 */
signed int j; /* Index into w2 */
signed int k; /* Index into clusters */
unsigned int pos_j; /* Actual position in the cooccurrence array */
unsigned int cos_count; /* Number of cooccurrences in each row */
PROBNODE total = 0.0;
PROBNODE temp;
time_t start;
time_t end;
time (&start);
#if HAVE_OPENMP
#pragma omp parallel for private(cos_count,pos_j,j,temp,k) reduction(+:total)
#endif
for (i = 0; i < info -> m; i++) {
cos_count = GET_COS_POSITION (i, 0);
for (pos_j = 1; pos_j <= cos_count; pos_j++) {
j = GET_COS_POSITION (i, pos_j);
/* Initialize with cluster 0 */
temp = GET_PROBZ_W1W2_CURR (0,i,j);
/* Log-likelihood for the co-occurrence of two words */
for (k = 1; k < num_clusters; k++) {
/* temp stores log values */
logSumsInline (temp, (GET_PROBZ_W1W2_CURR (k,i,j)));
}
/* Log-likelihood across all examples */
total += (temp * DOEXP (GET_COS (i, pos_j)));
}
}
time (&end);
info -> calculateML_time += difftime (end, start);
return (total);
}
void calculateProbW1W2 (INFO *info) {
signed int i; /* Index into w1 */
unsigned int j; /* Index into w2 */
unsigned int k; /* Index into clusters */
PROBNODE temp = 0.0;
PROBNODE *temp_prob_w1w2 = NULL;
int result = 0;
unsigned int tag = 0;
unsigned int owner = 0;
#if HAVE_MPI
MPI_Status *status = wmalloc (sizeof (MPI_Status));
#endif
time_t start;
time_t end;
time (&start);
#if HAVE_OPENMP
#pragma omp parallel for private(j,temp,k)
#endif
for (i = 0; i < info -> m; i++) {
for (j = 0; j < info -> n; j++) {
temp = GET_PROBZ_W1W2_CURR (0,i,j);
for (k = 1; k < info -> block_size; k++) {
/* temp stores logarithms */
logSumsInline (temp, (GET_PROBZ_W1W2_CURR (k,i,j)));
}
GET_PROB_W1W2(i,j) = temp;
}
}
#if HAVE_MPI
if (info -> world_id == MAINPROC) {
temp_prob_w1w2 = wmalloc (info -> m * info -> n * sizeof (PROBNODE));
/* Receive each temporary matrix and copy it in */
for (owner = 1; owner < info -> world_size; owner++) {
MSG_RECV_STATUS (info -> world_id, owner, info -> iter, TAG_PROBW1W2, 0);
tag = MSG_TAG (info -> iter, TAG_PROBW1W2, 0);
result = MPI_Recv (temp_prob_w1w2, (info -> m * info -> n), MPI_TYPE, owner, tag, MPI_COMM_WORLD, status);
#if HAVE_OPENMP
#pragma omp parallel for private(j)
#endif
for (i = 0; i < info -> m; i++) {
for (j = 0; j < info -> n; j++) {
logSumsInline (GET_PROB_W1W2(i,j), temp_prob_w1w2[i * info -> n + j]);
}
}
}
wfree (temp_prob_w1w2);
}
else {
MSG_SEND_STATUS (info -> world_id, MAINPROC, info -> iter, TAG_PROBW1W2, 0);
tag = MSG_TAG (info -> iter, TAG_PROBW1W2, 0);
result = MPI_Send (info -> prob_w1w2, (info -> m * info -> n), MPI_TYPE, MAINPROC, tag, MPI_COMM_WORLD);
}
#endif
time (&end);
info -> calculateProbW1W2_time += difftime (end, start);
return;
}
/*! Normalize probabilities */
void normalizeProbs (INFO *info) {
unsigned int i; /* Index into w1 */
unsigned int j; /* Index into w2 */
signed int k; /* Index into clusters */
PROBNODE sum;
PROBNODE norm;
time_t start;
time_t end;
time (&start);
#if HAVE_OPENMP
#pragma omp parallel for private(norm,i,j)
#endif
for (k = 0; k < info -> num_clusters; k++) {
norm = GET_PROBZ_CURR (k);
/* probw1_z */
for (i = 0; i < info -> m; i++) {
GET_PROBW1_Z_CURR (k, i) = GET_PROBW1_Z_CURR (k, i) - norm;
}
/* probw2_z */
for (j = 0; j < info -> n; j++) {
GET_PROBW2_Z_CURR (k, j) = GET_PROBW2_Z_CURR (k, j) - norm;
}
}
/* probz */
sum = GET_PROBZ_CURR (0);
for (k = 1; k < info -> num_clusters; k++) {
logSumsInline (sum, GET_PROBZ_CURR (k));
}
for (k = 0; k < info -> num_clusters; k++) {
GET_PROBZ_CURR (k) = GET_PROBZ_CURR (k) - sum;
}
time (&end);
info -> normalizeProbs_time += difftime (end, start);
return;
}