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official/projects/simclr/modeling/multitask_model_test.py
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A. Unique TensorFlower
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09 фев 2026, 19:00
09 фев 2026, 19:00
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# Copyright 2026 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 multitask_model.""" import os.path import tensorflow as tf, tf_keras from official.projects.simclr.configs import multitask_config from official.projects.simclr.modeling import multitask_model from official.projects.simclr.modeling import simclr_model class MultitaskModelTest(tf.test.TestCase): def test_initialize_model_success(self): ckpt_dir = self.get_temp_dir() config = multitask_config.SimCLRMTModelConfig( input_size=[64, 64, 3], heads=(multitask_config.SimCLRMTHeadConfig( mode=simclr_model.PRETRAIN, task_name='pretrain_simclr'), multitask_config.SimCLRMTHeadConfig( mode=simclr_model.FINETUNE, task_name='finetune_simclr'))) model = multitask_model.SimCLRMTModel(config) self.assertIn('pretrain_simclr', model.sub_tasks) self.assertIn('finetune_simclr', model.sub_tasks) ckpt = tf.train.Checkpoint(backbone=model._backbone) ckpt.save(os.path.join(ckpt_dir, 'ckpt')) model.initialize() if __name__ == '__main__': tf.test.main()