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tf.linalg.adjoint
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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/linalg/adjoint