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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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/math/conj