o ãÊiGã@sjUddlZddlmZmZmZddlZddlmZiZeeeeej j egej j ffed<dd„ZdS)éN)ÚCallableÚDictÚType)ÚAOBaseConfigÚ_QUANTIZE_CONFIG_HANDLERcst ˆ¡‡fdd„ƒ}|S)ar A decorator to register a transform function to map from a workflow configuration (child of `AOBaseConfig`) to a function that transforms a `torch.nn.Module` according to the specified configuration. For example:: # user facing code class WorkflowFooConfig(AOBaseConfig): ... # configuration for workflow `Foo` is defined here bar = 'baz' # non user facing code @register_quantize_module_handler(WorkflowFooConfig) def _transform( mod: torch.nn.Module, config: WorkflowFooConfig, ) -> torch.nn.Module: # the transform is implemented here, usually a tensor sublass # weight swap or a module swap ... # then, the user calls `quantize_` with a config, and `_transform` is called # under the hood by `quantize_. cs|tˆ<|S)N)r)Úfunc©Úconfig_type©úY/home/ubuntu/.local/lib/python3.10/site-packages/torchao/quantization/transform_module.pyÚ decorator/sz3register_quantize_module_handler..decorator)Ú functoolsÚwraps)r rr rrÚ register_quantize_module_handlersr) r ÚtypingrrrÚtorchÚtorchao.core.configrrÚnnÚModuleÚ__annotations__rr r r rÚs ýÿÿ