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 `self` is known to be greater than `other`.
  
  Dimensions are compared as follows:
  
  ```python
  (tf.Dimension(m)    > tf.Dimension(n))    == (m > n)
  (tf.Dimension(m)    > tf.Dimension(None)) == None
  (tf.Dimension(None) > tf.Dimension(n))    == None
  (tf.Dimension(None) > tf.Dimension(None)) == None
  ```
  
  Args:
    other: Another Dimension.
  
  Returns:
    The value of `self.value > other.value` if both are known, otherwise
    None.
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code: def __gt__(self, other):
      """Returns True if `self` is known to be greater than `other`.
  
      Dimensions are compared as follows:
  
      ```python
      (tf.Dimension(m)    > tf.Dimension(n))    == (m > n)
      (tf.Dimension(m)    > tf.Dimension(None)) == None
      (tf.Dimension(None) > tf.Dimension(n))    == None
      (tf.Dimension(None) > tf.Dimension(None)) == None
      ```
  
      Args:
        other: Another Dimension.
  
      Returns:
        The value of `self.value > other.value` if both are known, otherwise
        None.
      """
      other = as_dimension(other)
      if self._value is None or other.value is None:
          return None
      else:
          return self._value > other.value
  
imports: from .None import compat, dtypes
  from tensorboard.compat.proto import tensor_shape_pb2
label_desc: Use image node_id 26 for calling the Dimension obj's underlying member method code with example usage: obj.__gt__(other) and returns: None, unknown