convert
class torch.quantization.convert(module, mapping=None, inplace=False, remove_qconfig=True, is_reference=False, convert_custom_config_dict=None)
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.
Parameters:
      * 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
