docstr: Parameters
  ----------
  output_num : int, optional
      The amount of batches generated by the GAN.
docstr_tok: ["Parameters","--","--","--","--","--","output_num",":","int",",","optional","The","amount","of","batches","generated","by","the","GAN","."]
code: def load(self, kwargs):
      """Parameters
      ----------
      output_num : int, optional
          The amount of batches generated by the GAN.
  
      """
  
      super(GANInference, self).load(kwargs)
  
      # Patching Parameters
      add_parameter(self, kwargs, "output_num", 10)
      add_parameter(self, kwargs, "sampling_std", 1)
      add_parameter(self, kwargs, "sampling_mean", 0)
  
file_path: DeepNeuro/deepneuro/outputs/gan.py
imports: import numpy
  from deepneuro.outputs.inference import ModelInference
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 1 for calling the GANInference obj's underlying member method code with example usage: obj.load(kwargs) without return types