run_exp_tests.py

# Copyright (c) 2018 Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell,
# Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richars S. Zemel.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# =============================================================================
"""Runs a set of small training programs to verify that the code runs.
Author: Mengye Ren (mren@cs.toronto.edu)
"""
import tensorflow as tf

from run_multi_exp import run_one


def main():
  for dataset in ['omniglot']:
    for model in [
        'basic', 'kmeans-refine', 'kmeans-refine-radius', 'kmeans-refine-mask'
    ]:
      with tf.Graph().as_default():
        run_one(dataset, model + '-test', 0, None, 'abc')


if __name__ == '__main__':
  main()