| # Copyright 2022 The HuggingFace Team. 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. | |
| import pickle | |
| import unittest | |
| import torch | |
| from accelerate import Accelerator | |
| from accelerate.state import AcceleratorState | |
| from accelerate.test_utils import require_cpu | |
| class OptimizerTester(unittest.TestCase): | |
| def test_accelerated_optimizer_pickling(self): | |
| model = torch.nn.Linear(10, 10) | |
| optimizer = torch.optim.SGD(model.parameters(), 0.1) | |
| accelerator = Accelerator() | |
| optimizer = accelerator.prepare(optimizer) | |
| try: | |
| pickle.loads(pickle.dumps(optimizer)) | |
| except Exception as e: | |
| self.fail(f"Accelerated optimizer pickling failed with {e}") | |
| AcceleratorState._reset_state() | |