o + i@srddlmZddlZddlmZmZddlmZer,ddlm Z ddl mZ ddl m Z Gdddeejd ZdS) ) annotationsN) TYPE_CHECKINGAny)Layer)Iterable)TensorcsreZdZdZdfdd Zejdd d Zejdd d Zejdd dZ ejdddZ ejdddZ Z S) BaseQuanterzw Built-in quanters and customized quanters should extend this base quanter and implement abstract methods. returnNonecstdSN)super__init__self __class__l/home/app/PaddleOCR-VL-test/.venv_paddleocr/lib/python3.10/site-packages/paddle/quantization/base_quanter.pyr #szBaseQuanter.__init__inputrTensor | npt.NDArray[Any]cCsdSr r)rrrrrforward&szBaseQuanter.forwardcCdS)z Get the scales used for quantization. It can be none which means the quanter didn't hold scales for quantization. Nrrrrrscales*zBaseQuanter.scalescCr)z Get the zero points used for quantization. It can be none which means the quanter didn't hold zero points for quantization. Nrrrrr zero_points2rzBaseQuanter.zero_pointsint | Iterable[int]cCr)zT Get the axis of quantization. None means tensor-wise quantization. Nrrrrr quant_axis:zBaseQuanter.quant_axiscCr)z5 Get the bit length of quantization. Nrrrrr bit_lengthArzBaseQuanter.bit_length)r r )rrr r)r r)r r) __name__ __module__ __qualname____doc__r abcabstractmethodrrrrr __classcell__rrrrrs    r) metaclass) __future__rr#typingrrZ paddle.nnrcollections.abcrZ numpy.typingZnptZpaddlerABCMetarrrrrs