wehub-resource-sync
71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
# Copyright (c) 2022 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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import abc
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from typing import TYPE_CHECKING, Any
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from paddle.nn import Layer
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if TYPE_CHECKING:
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from collections.abc import Iterable
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import numpy.typing as npt
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from paddle import Tensor
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class BaseQuanter(Layer, metaclass=abc.ABCMeta):
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r"""
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Built-in quanters and customized quanters should extend this base quanter
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and implement abstract methods.
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"""
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def __init__(self) -> None:
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super().__init__()
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@abc.abstractmethod
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def forward(self, input: Tensor) -> Tensor | npt.NDArray[Any]:
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pass
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@abc.abstractmethod
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def scales(self) -> Tensor | npt.NDArray[Any]:
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r"""
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Get the scales used for quantization.
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It can be none which means the quanter didn't hold scales for quantization.
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"""
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pass
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@abc.abstractmethod
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def zero_points(self) -> Tensor | npt.NDArray[Any]:
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r"""
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Get the zero points used for quantization.
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It can be none which means the quanter didn't hold zero points for quantization.
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"""
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pass
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@abc.abstractmethod
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def quant_axis(self) -> int | Iterable[int]:
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r"""
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Get the axis of quantization. None means tensor-wise quantization.
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"""
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pass
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@abc.abstractmethod
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def bit_length(self) -> int | Iterable[int]:
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r"""
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Get the bit length of quantization.
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"""
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pass
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