| # Copyright (c) 2025, NVIDIA CORPORATION. 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. | |
| from lightning.pytorch.callbacks.callback import Callback | |
| class MegatronEnableExperimentalCallback(Callback): | |
| """ | |
| This callback is used to enable experimental features in Megatron. | |
| Example: | |
| >>> callback = MegatronEnableExperimentalCallback() | |
| >>> trainer = Trainer(callbacks=[callback]) | |
| """ | |
| def __init__(self): | |
| super().__init__() | |
| def setup(self, *unused_args, **unused_kwargs) -> None: | |
| """ | |
| This method is called when the callback is added to the trainer. | |
| """ | |
| from megatron.core.config import set_experimental_flag | |
| set_experimental_flag(True) | |