propagation quantization error.
Example usage:
  act_compare_dict = compare_model_outputs(float_model, qmodel, data)
  for key in act_compare_dict:
      print(
          key,
          compute_error(
              act_compare_dict[key]['float'],
              act_compare_dict[key]['quantized'].dequantize()
          )
      )

Parameters:
      * float_model (Module) -- float model used to generate the
        q_model
  * **q_model** (*Module*) -- model quantized from float_model

  * **data** -- input data used to run the prepared float_model
    and q_model

  * **logger_cls** -- type of logger to be attached to
    float_module and q_module

  * **allow_list** -- list of module types to attach logger

Returns:
      dict with key corresponding to quantized module names and each
      entry being a dictionary with two keys 'float' and 'quantized',
      containing the matching float and quantized activations
Return type: