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| -rw-r--r-- | doc/source/user/tutorial-svd.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/tutorial-svd.rst b/doc/source/user/tutorial-svd.rst index fd9e366e0..7b905e51e 100644 --- a/doc/source/user/tutorial-svd.rst +++ b/doc/source/user/tutorial-svd.rst @@ -431,7 +431,7 @@ Now, to build our approximation, we first need to make sure that our singular values are ready for multiplication, so we build our ``Sigma`` matrix similarly to what we did before. The ``Sigma`` array must have dimensions ``(3, 768, 1024)``. In order to add the singular values to the diagonal of -``Sigma``, we will use the ``fill_diagonal`` function from NumPy, using each of +``Sigma``, we will use the `numpy.fill_diagonal` function from NumPy, using each of the 3 rows in ``s`` as the diagonal for each of the 3 matrices in ``Sigma``: :: |