38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
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# Copyright 2022 Google LLC
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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 token_learner."""
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from absl.testing import parameterized
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from robotics_transformer.tokenizers import token_learner
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import tensorflow as tf
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class TokenLearnerTest(parameterized.TestCase):
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@parameterized.named_parameters(('sample_input', 512, 8))
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def testTokenLearner(self, embedding_dim, num_tokens):
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batch = 1
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seq = 2
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token_learner_layer = token_learner.TokenLearnerModule(
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num_tokens=num_tokens)
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inputvec = tf.random.normal(shape=(batch * seq, 81, embedding_dim))
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learnedtokens = token_learner_layer(inputvec)
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self.assertEqual(learnedtokens.shape,
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[batch * seq, num_tokens, embedding_dim])
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if __name__ == '__main__':
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tf.test.main()
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