MarlinQQQTensor

class torchao.prototype.dtypes.MarlinQQQTensor(tensor_impl: AQTTensorImpl, block_size: Tuple[int, ...], shape: Size, quant_min: Optional[Union[int, float]] = None, quant_max: Optional[Union[int, float]] = None, zero_point_domain: ZeroPointDomain = ZeroPointDomain.INT, dtype=None, strides=None)

MarlinQQQ quantized tensor subclass which inherits AffineQuantizedTensor class.

To see what happens during _choose_qparams_and_quantize_affine_qqq, quantization and dequantization for marlin qqq quantization, please checkout pytorch/ao and check the two quant primitive ops: _choose_qparams_and_quantize_affine_qqq and _dequantize_affine_qqq

dequantize() → Tensor

Given a quantized Tensor, dequantize it and return the dequantized float Tensor.

classmethod from_hp_to_intx(input_float: Tensor, block_size: Tuple[int, ...], quant_min: Optional[int] = None, quant_max: Optional[int] = None, zero_point_domain: ZeroPointDomain = ZeroPointDomain.INT, _layout: Optional[Layout] = None)

Converts a floating point tensor to a Marlin QQQ quantized tensor.