run_extract_test.sh
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for task in task1 task2 task3
do
for embedding in word2vecf wang2vec word2vec distant
do
for size in 100 200 300
do
for kfold in 0 1 2 3
do
echo "$task $embedding $szei $kfold"
if [ -e model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123.h5 ]
then
if [ ! -e results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123.txt ]
then
#THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_train_${kfold}.tokenize model/cnn_${task}_${kfold}_${embedding}_size${size}_123 > results_train/cnn_${task}_${kfold}_${embedding}_size${size}_123.txt
THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_test.tokenize model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123 > results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_123.txt
fi
fi
if [ -e model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_345.h5 ]
then
if [ ! -e results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_345.txt ]
then
#THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_train_${kfold}.tokenize model/cnn_${task}_${kfold}_${embedding}_size${size}_345 > results_train/cnn_${task}_${kfold}_${embedding}_size${size}_345.txt
echo "oki"
fi
fi
if [ -e model_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_567.h5 ]
then
if [ ! -e results_test_corrige/cnn_${task}_${kfold}_${embedding}_size${size}_567.txt ]
then
#THEANO_FLAGS=mode=FAST_RUN,device=gpu0,nvcc.fastmath=True,floatX=float32 python bin/results_cnn.py embedding/${embedding}_size${size}_win3.bin data/${task}_train_${kfold}.tokenize model/cnn_${task}_${kfold}_${embedding}_size${size}_567 > results_train/cnn_${task}_${kfold}_${embedding}_size${size}_567.txt
echo "oki"
fi
fi
done
done
done
done