tf.math.conj
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Returns the complex conjugate of a complex number.
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.
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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