class_docstr: Wraps a loss function in the `Loss` class.
class_docstr_tok: ["Wraps","a","loss","function","in","the","`","Loss","`","class","."]
code: def get_config(self):
      config = {}
      for k, v in iter(self._fn_kwargs.items()):
          config[k] = (
              tf.keras.backend.eval(v)
              if is_tensor_or_variable(v)
              else v
          )
      base_config = super().get_config()
      return {**base_config, **config}
  
file_path: addons/tensorflow_addons/utils/keras_utils.py
imports: import tensorflow
label_desc: Use image node_id 3 for calling the LossFunctionWrapper obj's underlying member method code with example usage: obj.get_config() and returns: dict