class_docstr: Layer that computes the standard deviation across an axis of its inputs.
class_docstr_tok: ["Layer","that","computes","the","standard","deviation","across","an","axis","of","its","inputs","."]
code: def get_config(self):
      config = {
          "batch_axis": self.batch_axis,
          "channel_axis": self.channel_axis,
      }
      base_config = super(
          MiniBatchStandardDeviationBase, self
      ).get_config()
      return dict(list(base_config.items()) + list(config.items()))
  
file_path: graphics/tensorflow_graphics/projects/gan/minibatch_standarddeviation.py
imports: import tensorflow
label_desc: Use image node_id 4 for calling the MiniBatchStandardDeviationBase obj's underlying member method code with example usage: obj.get_config() and returns: dict