class torch.quantization.convert(module, mapping=None, inplace=False, remove_qconfig=True, convert_custom_config_dict=None)[source]

Converts submodules in input module to a different module according to mapping by calling from_float method on the target module class. And remove qconfig at the end if remove_qconfig is set to True.

  • module – prepared and calibrated module

  • mapping – a dictionary that maps from source module type to target module type, can be overwritten to allow swapping user defined Modules

  • inplace – carry out model transformations in-place, the original module is mutated

  • convert_custom_config_dict – custom configuration dictionary for convert function

# Example of convert_custom_config_dict:
convert_custom_config_dict = {
    # user will manually define the corresponding quantized
    # module class which has a from_observed class method that converts
    # observed custom module to quantized custom module
    "observed_to_quantized_custom_module_class": {
        ObservedCustomModule: QuantizedCustomModule


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