parameters: (x, name=None)
docstring: r"""Returns the complex conjugate of a complex number.
  
    Given a tensor `input` of complex numbers, this operation returns a tensor of
    complex numbers that are the complex conjugate of each element in `input`. The
    complex numbers in `input` must be of the form \\(a + bj\\), where *a* is the
    real part and *b* is the imaginary part.
  
    The complex conjugate returned by this operation is of the form \\(a - bj\\).
  
    For example:
  
        # tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
        tf.conj(input) ==> [-2.25 - 4.75j, 3.25 - 5.75j]
  
    If `x` is real, it is returned unchanged.
  
    Args:
      x: `Tensor` to conjugate.  Must have numeric type.
      name: A name for the operation (optional).
  
    Returns:
      A `Tensor` that is the conjugate of `x` (with the same type).
  
    Raises:
      TypeError: If `x` is not a numeric tensor.
docstring_summary: r"""Returns the complex conjugate of a complex number.
docstring_tokens: r Returns the complex conjugate of a complex number .
function: def conj(x, name=None):
    r"""Returns the complex conjugate of a complex number.
  
    Given a tensor `input` of complex numbers, this operation returns a tensor of
    complex numbers that are the complex conjugate of each element in `input`. The
    complex numbers in `input` must be of the form \\(a + bj\\), where *a* is the
    real part and *b* is the imaginary part.
  
    The complex conjugate returned by this operation is of the form \\(a - bj\\).
  
    For example:
  
        # tensor 'input' is [-2.25 + 4.75j, 3.25 + 5.75j]
        tf.conj(input) ==> [-2.25 - 4.75j, 3.25 - 5.75j]
  
    If `x` is real, it is returned unchanged.
  
    Args:
      x: `Tensor` to conjugate.  Must have numeric type.
      name: A name for the operation (optional).
  
    Returns:
      A `Tensor` that is the conjugate of `x` (with the same type).
  
    Raises:
      TypeError: If `x` is not a numeric tensor.
    """
    with ops.name_scope(name, "Conj", [x]) as name:
      x = ops.convert_to_tensor(x, name="x")
      if x.dtype.is_complex:
        return gen_math_ops._conj(x, name=name)
      elif x.dtype.is_floating or x.dtype.is_integer:
        return x
      else:
        raise TypeError("Expected numeric tensor, got dtype %r" % x.dtype)
function_tokens: def conj ( x , name = None ) : with ops . name_scope ( name , "Conj" , [ x ] ) as name : x = ops . convert_to_tensor ( x , name = "x" ) if x . dtype . is_complex : return gen_math_ops . _conj ( x , name = name ) elif x . dtype . is_floating or x . dtype . is_integer : return x else : raise TypeError ( "Expected numeric tensor, got dtype %r" % x . dtype )