Files
paddlepaddle--paddle/python/paddle/distributed/flex_checkpoint/dcp/metadata.py
T
2026-07-13 12:40:42 +08:00

52 lines
1.5 KiB
Python

# Copyright (c) 2023 PaddlePaddle 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.
from __future__ import annotations
from dataclasses import dataclass
@dataclass(frozen=True)
class LocalTensorMetadata:
"""
The location of a local tensor in the global tensor.
"""
global_offset: tuple[int]
local_shape: tuple[int]
dtype: str
global_shape: tuple[int] | None = None
is_flattened: bool = False
flattened_range: tuple[int] | None = None
@dataclass(frozen=True)
class LocalTensorIndex:
"""
The identifier of a local tensor.
"""
tensor_key: str
global_offset: tuple[int]
is_flattened: bool = False
flattened_range: tuple[int] | None = None
replica_id: int | None = None
local_shape: tuple[int] | None = None
@dataclass
class Metadata:
state_dict_metadata: dict[str, list[LocalTensorMetadata]] = None
storage_metadata: dict[LocalTensorIndex, str] = None
flat_mapping: dict[str, tuple[str]] = None