TensorFlow 1 version
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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 | |
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x
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Tensor to conjugate.  Must have numeric or variant type.
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name
 | 
A name for the operation (optional). | 
Returns | |
|---|---|
A Tensor that is the conjugate of x (with the same type).
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Raises | |
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TypeError
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If x is not a numeric tensor.
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Numpy Compatibility
Equivalent to numpy.conj.
  TensorFlow 1 version
    View source on GitHub