| # Lint as: python3 | |
| # Copyright 2020 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. | |
| # ============================================================================== | |
| """Tests for cls_head.""" | |
| import tensorflow as tf | |
| from official.nlp.modeling.layers import cls_head | |
| class ClassificationHead(tf.test.TestCase): | |
| def test_layer_invocation(self): | |
| test_layer = cls_head.ClassificationHead(inner_dim=5, num_classes=2) | |
| features = tf.zeros(shape=(2, 10, 10), dtype=tf.float32) | |
| output = test_layer(features) | |
| self.assertAllClose(output, [[0., 0.], [0., 0.]]) | |
| self.assertSameElements(test_layer.checkpoint_items.keys(), | |
| ["pooler_dense"]) | |
| def test_layer_serialization(self): | |
| layer = cls_head.ClassificationHead(10, 2) | |
| new_layer = cls_head.ClassificationHead.from_config(layer.get_config()) | |
| # If the serialization was successful, the new config should match the old. | |
| self.assertAllEqual(layer.get_config(), new_layer.get_config()) | |
| if __name__ == "__main__": | |
| tf.test.main() | |