/TensorFlow 2.4

# tf.math.conj

Returns the complex conjugate of a complex number.

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:

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).
Returns
A Tensor that is the conjugate of x (with the same type).
Raises
TypeError If x is not a numeric tensor.

#### Numpy Compatibility

Equivalent to numpy.conj.