class_docstr: Symbolic tensor -- encapsulates a shape and a dtype.
  
  You can use `KerasTensor` instances to build computation
  graphs of Keras operations, such as `keras.Function`
  objects or Functional `keras.models.Model` objects.
  
  Example:
  
  >>> x = keras.KerasTensor(shape=(3, 4), dtype="float32")
  >>> x.shape
  (3, 4)
  >>> x.dtype
  float32
  
  Calling a Keras operation (including a layer or a model)
  on a `KerasTensor` instance will return another `KerasTensor`
  instance with the appropriate shape and dtype. This is
  called a "symbolic call" (since there is no actual data
  involved). The computation of the correct output shape and
  dtype is called "static shape inference".
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code: def __rxor__(self, other):
      from keras import ops
  
      return ops.LogicalXor().symbolic_call(other, self)
  
imports: import tree
  from keras.api_export import keras_export
  from keras.utils.naming import auto_name
label_desc: Use image node_id 42 for calling the KerasTensor obj's underlying member method code with example usage: obj.__rxor__(other) and returns: ops