class_docstr: Represents the value of one dimension in a TensorShape.
class_docstr_tok: ["Represents","the","value","of","one","dimension","in","a","TensorShape","."]
docstr: Returns the sum of `other` and `self`.
  
  Args:
    other: Another Dimension, or a value accepted by `as_dimension`.
  
  Returns:
    A Dimension whose value is the sum of `self` and `other`.
docstr_tok: ["Returns","the","sum","of","`","other","`","and","`","self","`",".","Args",":","other",":","Another","Dimension",",","or","a","value","accepted","by","`","as_dimension","`",".","Returns",":","A","Dimension","whose","value","is","the","sum","of","`","self","`","and","`","other","`","."]
code: def __radd__(self, other):
      """Returns the sum of `other` and `self`.
  
      Args:
        other: Another Dimension, or a value accepted by `as_dimension`.
  
      Returns:
        A Dimension whose value is the sum of `self` and `other`.
      """
      return self + other
  
imports: from .None import compat, dtypes
  from tensorboard.compat.proto import tensor_shape_pb2
label_desc: Use image node_id 14 for calling the Dimension obj's underlying member method code with example usage: obj.__radd__(other) and returns: unknown