chore: import upstream snapshot with attribution
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# Copyright (c) 2024 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 collections.abc import Sequence
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from typing import TYPE_CHECKING, TypeAlias, Union
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if TYPE_CHECKING:
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from .. import Tensor
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_DynamicShapeLike: TypeAlias = Union[
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Sequence[Union[int, "Tensor", None]],
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"Tensor",
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]
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_StaticShapeLike: TypeAlias = Union[
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Sequence[int],
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"Tensor",
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]
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ShapeLike: TypeAlias = _DynamicShapeLike | _StaticShapeLike
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# for size parameters, eg, kernel_size, stride ...
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Size1: TypeAlias = int | tuple[int] | list[int]
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Size2: TypeAlias = int | tuple[int, int] | list[int]
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Size3: TypeAlias = int | tuple[int, int, int] | list[int]
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Size4: TypeAlias = int | tuple[int, int, int, int] | list[int]
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Size5: TypeAlias = int | tuple[int, int, int, int, int] | list[int]
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Size6: TypeAlias = int | tuple[int, int, int, int, int, int] | list[int]
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SizeN: TypeAlias = int | tuple[int, ...] | list[int]
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