test.py

import logging
logging.basicConfig(level = logging.DEBUG, format=
        '%(asctime)s:%(levelname)s:%(name)s:%(threadName)s:line %(lineno)d: %(message)s')

from main import *

def main():
    experiment_id = 0
    indexpath = 'data/vocab_yelp.txt'
    embeddingspath  = 'data/vectors_yelp.txt'
    load_data('yelp', indexpath, embeddingspath, testdata=False)
    try:
      for filters in (5,):
        lr = 1e-3
        pooling = 'logsumexp'
        kernel_sizes_size = 3
        kernel_sizes = tuple((x+1 for x in range(kernel_sizes_size)))
        for kernel_l2_regularization in [0.01,]:
            logging.info('running experiment_id: {}'.format(experiment_id))
            run_experiments(finetune=False, kernel_sizes=kernel_sizes,
                filters=filters, lr=lr, pooling=pooling, kernel_l2_regularization=kernel_l2_regularization,
                other_params={'embeddingspath':embeddingspath})
            experiment_id += 1
    except Exception as e:
        logging.exception(e)
    return

if __name__ == '__main__':
    main()