neural_compressor.torch.algorithms.weight_only.rtn
Module Contents
Classes
The base quantizer for all algorithm quantizers. |
- class neural_compressor.torch.algorithms.weight_only.rtn.RTNQuantizer(quant_config: collections.OrderedDict = {})[source]
The base quantizer for all algorithm quantizers.
The Quantizer unifies the interfaces across various quantization algorithms, including GPTQ, RTN, etc. Given a float model, Quantizer apply the quantization algorithm to the model according to the quant_config.
- To implement a new quantization algorithm,, inherit from Quantizer and implement the following methods:
prepare: prepare a given model for convert.
convert: convert a prepared model to a quantized model.
Note: quantize and execute are optional for new quantization algorithms.