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tf.linalg.adjoint

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Transposes the last two dimensions of and conjugates tensor matrix.

Aliases:

  • tf.compat.v1.linalg.adjoint
  • tf.compat.v2.linalg.adjoint
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.