prepare_fx
class torch.quantization.quantize_fx.prepare_fx(model, qconfig_mapping, example_inputs, prepare_custom_config=None, _equalization_config=None, backend_config=None)
Prepare a model for post training static quantization
Parameters:
      * model (***) -- torch.nn.Module model
  * **qconfig_mapping** (***) -- QConfigMapping object to
    configure how a model is quantized, see "QConfigMapping" for
    more details

  * **example_inputs** (***) -- Example inputs for forward
    function of the model, Tuple of positional args (keyword args
    can be passed as positional args as well)

  * **prepare_custom_config** (***) -- customization configuration
    for quantization tool. See "PrepareCustomConfig" for more
    details

  * **_equalization_config** (***) -- config for specifying how to
    perform equalization on the model

  * **backend_config** (***) -- config that specifies how
