# coding=utf-8
# Copyright 2023 The TensorFlow GAN 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.
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"""Tests for tfgan.examples.mnist.conditional_eval."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow.compat.v1 as tf

from tensorflow_gan.examples.mnist import conditional_eval_lib


class ConditionalEvalTest(tf.test.TestCase):

  def test_build_graph(self):
    if tf.executing_eagerly():
      return
    hparams = conditional_eval_lib.HParams(
        checkpoint_dir='/tmp/mnist/',
        eval_dir='/tmp/mnist/',
        num_images_per_class=10,
        noise_dims=64,
        max_number_of_evaluations=None,
        write_to_disk=True)
    conditional_eval_lib.evaluate(hparams, run_eval_loop=False)


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