tf.math.conj | TensorFlow v2.16.1 (original) (raw)
tf.math.conj
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Returns the complex conjugate of a complex number.
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tf.math.conj(
x, name=None
)
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.