Returns:
      the dictionary used to save all logger stats
Return type:
      target_dict
class torch.ao.ns._numeric_suite.Logger
Base class for stats logging
forward(x)
class torch.ao.ns._numeric_suite.ShadowLogger
Class used in Shadow module to record the outputs of the original
   and shadow modules.
forward(x, y)
class torch.ao.ns._numeric_suite.OutputLogger
Class used to log the outputs of the module
forward(x)
class torch.ao.ns._numeric_suite.Shadow(q_module, float_module, logger_cls)
Shadow module attaches the float module to its matching quantized
   module as the shadow. Then it uses Logger module to process the
   outputs of both modules.
Parameters:
      * q_module -- module quantized from float_module that we
        want to shadow
  * **float_module** -- float module used to shadow q_module

  * **logger_cls** -- type of logger used to process the outputs
    of q_module and float_module. ShadowLogger or custom loggers
