PiGUddlZddlmZmZmZddlZddlmZiZeeeeej j egej j ffe d<dZ dS)N)CallableDictType) AOBaseConfig_QUANTIZE_CONFIG_HANDLERcFtjfd}|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_. c|t<|S)N)r)func config_types y/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/torchao/quantization/transform_module.py decoratorz3register_quantize_module_handler..decorator/s04 - ) functoolswraps)r r s` r register_quantize_module_handlerrs;8_[!!"! r) rtypingrrrtorchtorchao.core.configrrnnModule__annotations__rrr rs '''''''''' ,,,,,, $ eho| ,eho =>@ !!!!!r