class_docstr: The base class for layers estimating error.
      
class_docstr_tok: ["The","base","class","for","layers","estimating","error","."]
code: def __init__(self, internal):
      if not isinstance(internal, PythonWrapper.Loss):
          raise ValueError("The `internal` must be PythonWrapper.Loss")
  
      super().__init__(internal)
  
imports: import neoml.PythonWrapper
  from .Dnn import Layer
  from neoml.Utils import check_input_layers
  from abc import ABCMeta, abstractmethod
  import neoml.Blob
label_desc: Use image node_id 1 to create a new Loss object from inherited base classes: Layer with example: obj = Loss(internal)