tf.linalg.adjoint

tf.linalg.adjoint(
    matrix,
    name=None
)

Defined in tensorflow/python/ops/linalg/linalg_impl.py.

Transposes the last two dimensions of and conjugates tensor matrix.

For example:

```python 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.