message: Fix conj doc
diff: @@ -3848,20 +3848,27 @@ def cumulative_logsumexp(x, axis=0, exclusive=False, reverse=False, name=None):
  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
  + Given a tensor `x` of complex numbers, this operation returns a tensor of
  + complex numbers that are the complex conjugate of each element in `x`. The
  + complex numbers in `x` 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.math.conj(input) ==> [-2.25 - 4.75j, 3.25 - 5.75j]
  + >>> x = tf.constant([-2.25 + 4.75j, 3.25 + 5.75j])
  + >>> tf.math.conj(x)
  + <tf.Tensor: shape=(2,), dtype=complex128, numpy=array([-2.25-4.75j, 3.25-5.75j])>
  If `x` is real, it is returned unchanged.
  + For example:
  +
  + >>> x = tf.constant([-2.25, 3.25])
  + >>> tf.math.conj(x)
  + <tf.Tensor: shape=(2,), dtype=float32, numpy=array([-2.25, 3.25], dtype=float32)>
  +
  Args:
  x: `Tensor` to conjugate. Must have numeric or variant type.
  name: A name for the operation (optional).
  @@ -3871,6 +3878,10 @@ def conj(x, name=None):
  Raises:
  TypeError: If `x` is not a numeric tensor.
  +
  + @compatibility(numpy)
  + Equivalent to numpy.conj.
  + @end_compatibility
  """
  if isinstance(x, ops.Tensor):
  dt = x.dtype
  