to_affine_quantized_intx

torchao.dtypes.to_affine_quantized_intx(input_float: Tensor, mapping_type: MappingType, block_size: Tuple[int, ...], target_dtype: dtype, quant_min: Optional[int] = None, quant_max: Optional[int] = None, eps: Optional[float] = None, scale_dtype: Optional[dtype] = None, zero_point_dtype: Optional[dtype] = None, preserve_zero: bool = True, zero_point_domain: ZeroPointDomain = ZeroPointDomain.INT, _layout: Layout = PlainLayout(), use_hqq: bool = False)

Convert a high precision tensor to an integer affine quantized tensor.