google-research

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# coding=utf-8
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# Copyright 2024 The Google Research Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for task_set.registry."""
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from task_set import registry
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# pylint: disable=unused-import
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from task_set.optimizers import adam
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from task_set.tasks import mlp
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# pylint: enable=unused-import
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import tensorflow.compat.v1 as tf
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class RegistryTest(tf.test.TestCase):
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  def test_optimizer_registry(self):
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    optimizer_instance = registry.optimizers_registry.get_instance(
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        "adam_lr_-5.00")
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    loss = tf.get_variable(shape=[], dtype=tf.float32, name="var")
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    _ = optimizer_instance.minimize(loss)
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  def test_task_registry(self):
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    task_instance = registry.task_registry.get_instance("mlp_family_seed10")
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    self.assertEqual(task_instance.name, "mlp_family_seed10")
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if __name__ == "__main__":
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  tf.test.main()
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