#!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.

"""Script that will visualize the latent space of a trained model."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from absl import app
from absl import flags
from disentanglement_lib.visualize import visualize_model

FLAGS = flags.FLAGS
flags.DEFINE_string("model_dir", None,
                    "Directory to take the trained model from.")
flags.DEFINE_string("output_dir", None,
                    "Directory to save the visualizations in.")
flags.DEFINE_boolean("overwrite", False,
                     "Whether to overwrite output directory.")


def main(unused_argv):
  visualize_model.visualize(FLAGS.model_dir, FLAGS.output_dir, FLAGS.overwrite)


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