Source code for pytorch_lightning.plugins.io.checkpoint_plugin
# Copyright The PyTorch Lightning team.## 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.fromabcimportABC,abstractmethodfromtypingimportAny,Dict,Optionalfrompytorch_lightning.utilities.typesimport_PATH
[docs]classCheckpointIO(ABC):"""Interface to save/load checkpoints as they are saved through the ``Strategy``. Typically most plugins either use the Torch based IO Plugin; ``TorchCheckpointIO`` but may require particular handling depending on the plugin. In addition, you can pass a custom ``CheckpointIO`` by extending this class and passing it to the Trainer, i.e ``Trainer(plugins=[MyCustomCheckpointIO()])``. .. note:: For some plugins, it is not possible to use a custom checkpoint plugin as checkpointing logic is not modifiable. """
[docs]@abstractmethoddefsave_checkpoint(self,checkpoint:Dict[str,Any],path:_PATH,storage_options:Optional[Any]=None)->None:"""Save model/training states as a checkpoint file through state-dump and file-write. Args: checkpoint: dict containing model and trainer state path: write-target path storage_options: Optional parameters when saving the model/training states. """
[docs]@abstractmethoddefload_checkpoint(self,path:_PATH,storage_options:Optional[Any]=None)->Dict[str,Any]:"""Load checkpoint from a path when resuming or loading ckpt for test/validate/predict stages. Args: path: Path to checkpoint storage_options: Optional parameters when loading the model/training states. Returns: The loaded checkpoint. """
[docs]@abstractmethoddefremove_checkpoint(self,path:_PATH)->None:"""Remove checkpoint file from the filesystem. Args: path: Path to checkpoint """
To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. Read PyTorch Lightning's Privacy Policy.