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 `other` modulo `self`.
  
  Args:
    other: Another Dimension, or a value accepted by `as_dimension`.
  
  Returns:
    A Dimension whose value is `other` modulo `self`.
docstr_tok: ["Returns","`","other","`","modulo","`","self","`",".","Args",":","other",":","Another","Dimension",",","or","a","value","accepted","by","`","as_dimension","`",".","Returns",":","A","Dimension","whose","value","is","`","other","`","modulo","`","self","`","."]
code: def __rmod__(self, other):
      """Returns `other` modulo `self`.
  
      Args:
        other: Another Dimension, or a value accepted by `as_dimension`.
  
      Returns:
        A Dimension whose value is `other` modulo `self`.
      """
      try:
          other = as_dimension(other)
      except (TypeError, ValueError):
          return NotImplemented
      return other % self
  
imports: from .None import compat, dtypes
  from tensorboard.compat.proto import tensor_shape_pb2
label_desc: Use image node_id 23 for calling the Dimension obj's underlying member method code with example usage: obj.__rmod__(other) and returns: unknown, NotImplemented