tf.linalg.adjoint
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Transposes the last two dimensions of and conjugates tensor matrix.
tf.linalg.adjoint( matrix, name=None )
For example:
x = tf.constant([[1 + 1j, 2 + 2j, 3 + 3j], [4 + 4j, 5 + 5j, 6 + 6j]]) tf.linalg.adjoint(x) # [[1 - 1j, 4 - 4j], # [2 - 2j, 5 - 5j], # [3 - 3j, 6 - 6j]]
Args |
|---|
matrix | A Tensor. Must be float16, float32, float64, complex64, or complex128 with shape [..., M, M]. |
name | A name to give this Op (optional). |
Returns |
|---|
| The adjoint (a.k.a. Hermitian transpose a.k.a. conjugate transpose) of matrix. |
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Last updated 2024-04-26 UTC.
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