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 true if `other` is convertible with this Dimension.
  
  Two known Dimensions are convertible if they have the same value.
  An unknown Dimension is convertible with all other Dimensions.
  
  Args:
    other: Another Dimension.
  
  Returns:
    True if this Dimension and `other` are convertible.
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code: def is_convertible_with(self, other):
      """Returns true if `other` is convertible with this Dimension.
  
      Two known Dimensions are convertible if they have the same value.
      An unknown Dimension is convertible with all other Dimensions.
  
      Args:
        other: Another Dimension.
  
      Returns:
        True if this Dimension and `other` are convertible.
      """
      other = as_dimension(other)
      return (
          self._value is None
          or other.value is None
          or self._value == other.value
      )
  
imports: from .None import compat, dtypes
  from tensorboard.compat.proto import tensor_shape_pb2
label_desc: Use image node_id 10 for calling the Dimension obj's underlying member method code with example usage: obj.is_convertible_with(other) and returns: unknown