# coding=utf-8
# Copyright 2023 The Tensor2Tensor Authors.
#
# 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
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"""Tiny run of trainer_model_based. Smoke test."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensor2tensor.rl import trainer_model_based

import tensorflow.compat.v1 as tf

FLAGS = tf.flags.FLAGS


class ModelRLExperimentRecurrentTest(tf.test.TestCase):

  def test_basic_recurrent(self):
    FLAGS.output_dir = tf.test.get_temp_dir()
    FLAGS.loop_hparams_set = "rlmb_tiny_recurrent"
    FLAGS.schedule = "train"  # skip evaluation for world model training
    trainer_model_based.main(None)


if __name__ == "__main__":
  tf.test.main()
