torch.matrix_power

torch.matrix_power(input, n) → Tensor

Returns the matrix raised to the power n for square matrices. For batch of matrices, each individual matrix is raised to the power n.

If n is negative, then the inverse of the matrix (if invertible) is raised to the power n. For a batch of matrices, the batched inverse (if invertible) is raised to the power n. If n is 0, then an identity matrix is returned.

Parameters

• input (Tensor) – the input tensor.
• n (int) – the power to raise the matrix to

Example:

>>> a = torch.randn(2, 2, 2)
>>> a
tensor([[[-1.9975, -1.9610],
         [ 0.9592, -2.3364]],

        [[-1.2534, -1.3429],
         [ 0.4153, -1.4664]]])
>>> torch.matrix_power(a, 3)
tensor([[[  3.9392, -23.9916],
         [ 11.7357,  -0.2070]],

        [[  0.2468,  -6.7168],
         [  2.0774,  -0.8187]]])