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1.44 kB
| # 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. | |
| """Tests for tensorflow_models imports.""" | |
| import tensorflow as tf, tf_keras | |
| import tensorflow_models as tfm | |
| class TensorflowModelsTest(tf.test.TestCase): | |
| def testVisionImport(self): | |
| _ = tfm.vision.layers.SqueezeExcitation( | |
| in_filters=8, out_filters=4, se_ratio=1) | |
| _ = tfm.vision.configs.image_classification.Losses() | |
| def testNLPImport(self): | |
| _ = tfm.nlp.layers.TransformerEncoderBlock( | |
| num_attention_heads=2, inner_dim=10, inner_activation='relu') | |
| _ = tfm.nlp.tasks.TaggingTask(params=tfm.nlp.tasks.TaggingConfig()) | |
| def testCommonImports(self): | |
| _ = tfm.hyperparams.Config() | |
| _ = tfm.optimization.LinearWarmup( | |
| after_warmup_lr_sched=0.0, warmup_steps=10, warmup_learning_rate=0.1) | |
| if __name__ == '__main__': | |
| tf.test.main() | |