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Update the docs of torch.eig about derivative #47598

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Update the docs of torch.eig about derivative #47598

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4 changes: 2 additions & 2 deletions torch/_torch_docs.py
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Expand Up @@ -2640,7 +2640,7 @@ def merge_dicts(*dicts):
differently than dot(a, b). If the first argument is complex, the complex conjugate of the
first argument is used for the calculation of the dot product.

.. note::
.. note::

Unlike NumPy's vdot, torch.vdot intentionally only supports computing the dot product
of two 1D tensors with the same number of elements.
Expand Down Expand Up @@ -2672,7 +2672,7 @@ def merge_dicts(*dicts):

.. note::
Since eigenvalues and eigenvectors might be complex, backward pass is supported only
for :func:`torch.symeig`
if eigenvalues and eigenvectors are all real valued.

Args:
input (Tensor): the square matrix of shape :math:`(n \times n)` for which the eigenvalues and eigenvectors
Expand Down