52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from dataclasses import dataclass
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@dataclass(frozen=True)
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class LocalTensorMetadata:
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"""
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The location of a local tensor in the global tensor.
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"""
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global_offset: tuple[int]
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local_shape: tuple[int]
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dtype: str
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global_shape: tuple[int] | None = None
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is_flattened: bool = False
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flattened_range: tuple[int] | None = None
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@dataclass(frozen=True)
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class LocalTensorIndex:
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"""
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The identifier of a local tensor.
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"""
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tensor_key: str
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global_offset: tuple[int]
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is_flattened: bool = False
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flattened_range: tuple[int] | None = None
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replica_id: int | None = None
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local_shape: tuple[int] | None = None
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@dataclass
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class Metadata:
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state_dict_metadata: dict[str, list[LocalTensorMetadata]] = None
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storage_metadata: dict[LocalTensorIndex, str] = None
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flat_mapping: dict[str, tuple[str]] = None
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