pytorch/torch/distributed/_checkpointable.py

# Copyright (c) Meta Platforms, Inc. and affiliates
from typing import List, Protocol, runtime_checkable

import torch


@runtime_checkable
class _Checkpointable(Protocol):  # noqa: PYI046
    """
    Interface for checkpointable objects.
    Implemented as a protocol, implicit subtyping is supported so subclasses do not need to inherit this explicitly.
    This is to allow arbitrary objects/tensor subclasses to hook into DCP seamlessly through implementing the interface.
    """

    def __create_write_items__(self, fqn: str, object: object) -> List[object]:
        """
        Return a list of WriteItems based on object's contents.
        """
        raise NotImplementedError(
            "_Checkpointable._create_write_items is not implemented"
        )

    def __create_chunk_list__(self) -> List[object]:
        """
        Return a list of `ChunkStorageMetadata` based on object's contents.
        """
        raise NotImplementedError(
            "_Checkpointable._create_chunk_list is not implemented"
        )

    def __get_tensor_shard__(self, index: int) -> torch.Tensor:
        """
        Return a 'torch.Tensor' shard based on 'MetadataIndex'.
        """
        raise NotImplementedError(
            "_Checkpointable._get_tensor_shard is not implemented"
        )