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# Copyright 2023 The TensorFlow 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.
"""Unit tests for DLRM config."""
from absl.testing import parameterized
import tensorflow as tf, tf_keras
from official.recommendation.ranking.configs import config
class ConfigTest(tf.test.TestCase, parameterized.TestCase):
def test_configs(self):
criteo_config = config.default_config()
self.assertIsInstance(criteo_config, config.Config)
self.assertIsInstance(criteo_config.task, config.Task)
self.assertIsInstance(criteo_config.task.model, config.ModelConfig)
self.assertIsInstance(criteo_config.task.train_data,
config.DataConfig)
self.assertIsInstance(criteo_config.task.validation_data,
config.DataConfig)
criteo_config.task.train_data.is_training = None
with self.assertRaises(KeyError):
criteo_config.validate()
if __name__ == '__main__':
tf.test.main()
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