#!python
# coding=utf-8
# Copyright 2018 The DisentanglementLib Authors.  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.

"""Training module for semi-supervised disentangled representations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from absl import app
from absl import flags
from disentanglement_lib.methods.weak import train_weak_lib

FLAGS = flags.FLAGS

flags.DEFINE_string("model_dir", None, "Directory to save trained model in.")

flags.DEFINE_string("gin_model_dir", None,
                    "Path to directory with model configs.")

flags.DEFINE_string("gin_file_name", None,
                    "Path to directory with model configs.")

flags.DEFINE_multi_string("gin_config", [],
                          "List of paths to the config files.")

flags.DEFINE_multi_string("gin_bindings", [],
                          "Newline separated list of Gin parameter bindings.")

flags.DEFINE_boolean("overwrite", False,
                     "Whether to overwrite output directory.")


def main(unused_argv):
  if FLAGS.gin_file_name is not None:
    model_config_file = [os.path.join(FLAGS.gin_model_dir, FLAGS.gin_file_name)]
  else:
    model_config_file = []
  train_weak_lib.train_with_gin(FLAGS.model_dir, FLAGS.overwrite,
                                FLAGS.gin_config + model_config_file,
                                FLAGS.gin_bindings)


if __name__ == "__main__":
  app.run(main)
