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test version
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Charles-Emmanuel Dias authored and Charles-Emmanuel Dias committed Jun 23, 2014
1 parent 051f439 commit 67d17ee
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262 changes: 262 additions & 0 deletions compute-accuracy-syntax.c
Original file line number Diff line number Diff line change
@@ -0,0 +1,262 @@
// Copyright 2013 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <malloc.h>
#include <ctype.h>

const long long max_size = 2000; // max length of strings
const long long N = 1; // number of closest words
const long long max_w = 50; // max length of vocabulary entries

int main(int argc, char **argv)
{
FILE *f;
char st1[max_size], st2[max_size], st3[max_size], st4[max_size], bestw[N][max_size], file_name[max_size], ch;
float dist, len, bestd[N], vec[max_size];
long long words, size, a, b, c, d, b1, b2, b3, threshold = 0;
float *M;
char *vocab;
int TCN, CCN = 0, TACN = 0, CACN = 0, SECN = 0, SYCN = 0, SEAC = 0, SYAC = 0, QID = 0, TQ = 0, TQS = 0;
int small = 0;


if (argc < 2) {
printf("Usage: ./compute-accuracy <FILE> <threshold> <small>\nwhere FILE contains word projections, and threshold is used to reduce vocabulary of the model for fast approximate evaluation (0 = off, otherwise typical value is 30000)\n");
return 0;
}

strcpy(file_name, argv[1]);

if (argc > 2)
threshold = atoi(argv[2]);

if (argc > 3)
small = 1;

f = fopen(file_name, "rb");

if (f == NULL) {
printf("Input file not found\n");
return -1;
}

fscanf(f, "%lld", &words);

if (threshold)
if (words > threshold)
words = threshold;

fscanf(f, "%lld", &size);

vocab = (char *)malloc(words * max_w * sizeof(char));

M = (float *)malloc(words * size * sizeof(float));

if (M == NULL) {
printf("Cannot allocate memory: %lld MB\n", words * size * sizeof(float) / 1048576);
return -1;
}

for (b = 0; b < words; b++) {

fscanf(f, "%s%c", &vocab[b * max_w], &ch);

for (a = 0; a < max_w; a++)
vocab[b * max_w + a] = toupper(vocab[b * max_w + a]);

for (a = 0; a < size; a++)
fread(&M[a + b * size], sizeof(float), 1, f);

len = 0;

for (a = 0; a < size; a++)
len += M[a + b * size] * M[a + b * size];

len = sqrt(len);

for (a = 0; a < size; a++)
M[a + b * size] /= len;
}

fclose(f);

TCN = 0;

while (1) {

for (a = 0; a < N; a++)
bestd[a] = 0;

for (a = 0; a < N; a++)
bestw[a][0] = 0;

scanf("%s", st1);

for (a = 0; a < strlen(st1); a++)
st1[a] = toupper(st1[a]);

if ((!strcmp(st1, ":")) || (!strcmp(st1, "EXIT")) || feof(stdin)) {

if (TCN == 0)
TCN = 1;

if (QID != 0){
if(small ==0)
printf("%.2f %% (%d / %d)\n", CCN / (float)TCN * 100, CCN, TCN);
else
printf("%.2f\t", CCN / (float)TCN * 100);
}



QID++;
scanf("%s", st1);

if (feof(stdin))
break;

if(small==0)
printf("%s\t", st1);


TCN = 0;
CCN = 0;

continue;

}

if (!strcmp(st1, "EXIT"))
break;

scanf("%s", st2);

for (a = 0; a < strlen(st2); a++)
st2[a] = toupper(st2[a]);

scanf("%s", st3);

for (a = 0; a<strlen(st3); a++)
st3[a] = toupper(st3[a]);

scanf("%s", st4);

for (a = 0; a < strlen(st4); a++)
st4[a] = toupper(st4[a]);

for (b = 0; b < words; b++)
if (!strcmp(&vocab[b * max_w], st1))
break;

b1 = b;

for (b = 0; b < words; b++)
if (!strcmp(&vocab[b * max_w], st2))
break;

b2 = b;

for (b = 0; b < words; b++)
if (!strcmp(&vocab[b * max_w], st3))
break;

b3 = b;

for (a = 0; a < N; a++)
bestd[a] = 0;

for (a = 0; a < N; a++)
bestw[a][0] = 0;

TQ++;

if (b1 == words)
continue;

if (b2 == words)
continue;

if (b3 == words)
continue;

for (b = 0; b < words; b++)
if (!strcmp(&vocab[b * max_w], st4))
break;

if (b == words)
continue;

for (a = 0; a < size; a++)
vec[a] = (M[a + b2 * size] - M[a + b1 * size]) + M[a + b3 * size];

TQS++;

for (c = 0; c < words; c++) {

if (c == b1)
continue;

if (c == b2)
continue;

if (c == b3)
continue;

dist = 0;

for (a = 0; a < size; a++)
dist += vec[a] * M[a + c * size];

for (a = 0; a < N; a++) {

if (dist > bestd[a]) {

for (d = N - 1; d > a; d--) {
bestd[d] = bestd[d - 1];
strcpy(bestw[d], bestw[d - 1]);
}

bestd[a] = dist;
strcpy(bestw[a], &vocab[c * max_w]);
break;
}
}
}

if (!strcmp(st4, bestw[0])) {
CCN++;
CACN++;
SYAC++;
}


SYCN++;
TCN++;
TACN++;

}

if(small == 0){
printf("Total accuracy: %.2f %%\n", CACN / (float)TACN * 100);
printf("Questions seen / total: %d %d %.2f %% \n", TQS, TQ, TQS/(float)TQ*100);
}else{
printf("%.2f\n",CACN / (float)TACN * 100);
}
return 0;

}
26 changes: 19 additions & 7 deletions compute-accuracy.c
Original file line number Diff line number Diff line change
Expand Up @@ -26,15 +26,15 @@ const long long max_w = 50; // max length of vocabulary entries
int main(int argc, char **argv)
{
FILE *f;
char st1[max_size], st2[max_size], st3[max_size], st4[max_size], bestw[N][max_size], file_name[max_size], ch;
char st1[max_size], st2[max_size], st3[max_size], st4[max_size], bestw[N][max_size], file_name[max_size],output_file[max_size], ch;
float dist, len, bestd[N], vec[max_size];
long long words, size, a, b, c, d, b1, b2, b3, threshold = 0;
float *M;
char *vocab;
int TCN, CCN = 0, TACN = 0, CACN = 0, SECN = 0, SYCN = 0, SEAC = 0, SYAC = 0, QID = 0, TQ = 0, TQS = 0;

int small_print =0;
if (argc < 2) {
printf("Usage: ./compute-accuracy <FILE> <threshold>\nwhere FILE contains word projections, and threshold is used to reduce vocabulary of the model for fast approximate evaluation (0 = off, otherwise typical value is 30000)\n");
printf("Usage: ./compute-accuracy <FILE> <threshold> <small_print>\nwhere FILE contains word projections, and threshold is used to reduce vocabulary of the model for fast approximate evaluation (0 = off, otherwise typical value is 30000)\n");
return 0;
}

Expand All @@ -43,6 +43,9 @@ int main(int argc, char **argv)
if (argc > 2)
threshold = atoi(argv[2]);

if (argc > 3)
small_print = 1; //output is smaller

f = fopen(file_name, "rb");

if (f == NULL) {
Expand Down Expand Up @@ -91,7 +94,8 @@ int main(int argc, char **argv)
fclose(f);

TCN = 0;

if(small_print)
printf("Type\tAccuracy(top1)%%\tTotal Acc%%\tSemantic Acc%%\tSyntactic Acc%%\tSuccess\tTotal\n");
while (1) {

for (a = 0; a < N; a++)
Expand All @@ -111,8 +115,12 @@ int main(int argc, char **argv)
TCN = 1;

if (QID != 0) {
printf("ACCURACY TOP1: %.2f %% (%d / %d)\n", CCN / (float)TCN * 100, CCN, TCN);
printf("Total accuracy: %.2f %% Semantic accuracy: %.2f %% Syntactic accuracy: %.2f %% \n", CACN / (float)TACN * 100, SEAC / (float)SECN * 100, SYAC / (float)SYCN * 100);
if(small_print){
printf("%.2f\t%.2f\t%.2f\t%.2f\t%d\t%d\n", CCN / (float)TCN * 100,CACN / (float)TACN * 100, SEAC / (float)SECN * 100, SYAC / (float)SYCN * 100, CCN, TCN);
}else{
printf("ACCURACY TOP1: %.2f %% (%d / %d)\n", CCN / (float)TCN * 100, CCN, TCN);
printf("Total accuracy: %.2f %% Semantic accuracy: %.2f %% Syntactic accuracy: %.2f %% \n", CACN / (float)TACN * 100, SEAC / (float)SECN * 100, SYAC / (float)SYCN * 100);
}
}

QID++;
Expand All @@ -121,7 +129,11 @@ int main(int argc, char **argv)
if (feof(stdin))
break;

printf("%s:\n", st1);
if(small_print)
printf("%s\t", st1);
else
printf("%s:\n", st1);

TCN = 0;
CCN = 0;
continue;
Expand Down
2 changes: 1 addition & 1 deletion demo-word-accuracy.sh
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,6 @@ if [ ! -e text8 ]; then
wget http://mattmahoney.net/dc/text8.zip -O text8.gz
gzip -d text8.gz -f
fi
time ./word2vec -train text8 -output /tmp/vectors.bin -cbow 0 -size 200 -window 5 -negative 0 -hs 0 -threads 12 -binary 1 -ngram 8 -hashbang 1 -min-count 0
time ./word2vec -train text8 -output /tmp/vectors.bin -cbow 0 -size 200 -window 5 -negative 0 -hs 0 -threads 12 -binary 1
./compute-accuracy /tmp/vectors.bin 30000 < questions-words.txt
# to compute accuracy with the full vocabulary, use: ./compute-accuracy vectors.bin < questions-words.txt
8 changes: 5 additions & 3 deletions makefile
Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
CC = gcc
#The -Ofast might not work with older versions of gcc; in that case, use -O2
CFLAGS = -lm -pthread -Ofast -march=native -Wall -funroll-loops -Wno-unused-result -g
CFLAGS = -lm -pthread -Ofast -march=native -Wall -funroll-loops -Wno-unused-result
#

all: word2vec word2phrase distance word-analogy compute-accuracy
all: word2vec word2phrase distance word-analogy compute-accuracy compute-accuracy-syntax

word2vec : word2vec.c
$(CC) word2vec.c -o word2vec $(CFLAGS)
Expand All @@ -15,7 +15,9 @@ word-analogy : word-analogy.c
$(CC) word-analogy.c -o word-analogy $(CFLAGS)
compute-accuracy : compute-accuracy.c
$(CC) compute-accuracy.c -o compute-accuracy $(CFLAGS)
compute-accuracy-syntax : compute-accuracy-syntax.c
$(CC) compute-accuracy-syntax.c -o compute-accuracy-syntax $(CFLAGS)
chmod +x *.sh

clean:
rm -rf word2vec word2phrase distance word-analogy compute-accuracy
rm -rf word2vec word2phrase distance word-analogy compute-accuracy compute-accuracy-syntax
36 changes: 36 additions & 0 deletions test-ngram-w2vec.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
#test-ngram-w2vec.py
import subprocess as sp
import numpy as np

sizes = range(200,350,50)
samples = ["0","1e-5"]
negatives = range(0,10,5)
alphas = np.arange(0.025,0.060,0.015)
ngrams = range(2,5,1)
hashbs = [0,1]
cbows = [0,1]
hsE = [0,1]


cpt = 1
logFile = open("results.txt" , "w")
lofFile2 = open("parameters.txt", "w")
lofFile2.write("size\tsample\tnegative\talpha\tngram\thashbang\tcbow\ths\n");
for size in sizes:
for sample in samples:
for negative in negatives:
for hs in hsE:
if negative == 0 and hs == 0:
continue;
for alpha in alphas:
for ngram in ngrams:
for hashb in hashbs:
for cbow in cbows:
print "iteration %d on 649" % (cpt)
argsLine= "./testNgrams.sh %s %s %s %s %s %s %s %s" % (str(size),str(sample),str(negative),str(alpha),str(ngram),str(hashb),str(cbow),str(hs))
argu= "%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n" % (str(size),str(sample),str(negative),str(alpha),str(ngram),str(hashb),str(cbow),str(hs))
lofFile2.write(argu);
sp.call(args=argsLine,shell=True,stdout=logFile)
cpt = cpt+1


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