google-research

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# coding=utf-8
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# Copyright 2024 The Google Research Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Runs distributional-skew UQ experiments on MNIST.
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Lightweight wrapper around experiment.py -- mostly useful to keep flags and
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py_binary boilerplate out of colab during development.
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from absl import app
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from absl import flags
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from uq_benchmark_2019.mnist import experiment
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from uq_benchmark_2019.mnist import models_lib
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FLAGS = flags.FLAGS
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flags.DEFINE_enum('arch', None, models_lib.ARCHITECTURES,
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                  'Name of NN architecture.')
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flags.DEFINE_enum('method', None, models_lib.METHODS,
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                  'Name of modeling method.')
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flags.DEFINE_string('output_dir', None, 'Output directory.')
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flags.DEFINE_integer('test_level', 0,
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                     '(0) no testing, (1) quick training (2) fake data.')
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flags.DEFINE_integer('task', 0, 'Task number.')
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def main(argv):
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  if len(argv) > 1:
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    raise app.UsageError('Too many command-line arguments.')
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  experiment.run(FLAGS.method, FLAGS.arch,
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                 FLAGS.output_dir.replace('%task%', str(FLAGS.task)),
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                 test_level=FLAGS.test_level)
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if __name__ == '__main__':
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  app.run(main)
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