parameters: (x, y, name='')
return_statement: return element_xor(x, y, name)
docstring: Computes the element-wise logic XOR of ``x`` and ``y``.
  
      Example:
          >>> C.element_xor([1, 1, 0, 0], [1, 0, 1, 0]).eval()
          array([ 0.,  1.,  1.,  0.], dtype=float32)
  
      Args:
          x, y: numpy array or any :class:`~cntk.ops.functions.Function` that outputs a tensor
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
docstring_summary: Computes the element-wise logic XOR of ``x`` and ``y``.
docstring_tokens: Computes the element - wise logic XOR of x and y .
function: def element_xor(x, y, name=''):
      '''
      Computes the element-wise logic XOR of ``x`` and ``y``.
  
      Example:
          >>> C.element_xor([1, 1, 0, 0], [1, 0, 1, 0]).eval()
          array([ 0.,  1.,  1.,  0.], dtype=float32)
  
      Args:
          x, y: numpy array or any :class:`~cntk.ops.functions.Function` that outputs a tensor
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
      '''
      from cntk.cntk_py import element_xor
      x = sanitize_input(x)
      y = sanitize_input(y)
      return element_xor(x, y, name)
function_tokens: def element_xor ( x , y , name = '' ) : from cntk . cntk_py import element_xor x = sanitize_input ( x ) y = sanitize_input ( y ) return element_xor ( x , y , name )