Function conj

tensorflow/python/ops/math_ops.py:3416–3455

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 r

(x, name=None)

@dispatch.add_dispatch_support
@deprecation.deprecated_endpoints("conj")
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.math.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 or variant 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.
  """
  if isinstance(x, ops.Tensor):
    dt = x.dtype
    if dt.is_floating or dt.is_integer:
      return x
  with ops.name_scope(name, "Conj", [x]) as name:
    x = ops.convert_to_tensor(x, name="x")
    if x.dtype.is_complex or x.dtype == dtypes.variant:
      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 or variant tensor, got dtype %r" %
                      x.dtype)


def _BroadcastShape(op):