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Add implementation of dpnp.linalg.svdvals() #2094

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Merged
merged 6 commits into from
Oct 9, 2024
Merged

Add implementation of dpnp.linalg.svdvals() #2094

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02e511a
Add implementation of dpnp.linalg.svdvals
vlad-perevezentsev Oct 8, 2024
dc1b8f2
Add TestSvdvals to test_linalg.py
vlad-perevezentsev Oct 8, 2024
41356ec
Add dpnp.linalg.svdvals to docs
vlad-perevezentsev Oct 9, 2024
f9cbe7d
Apply review remarks
vlad-perevezentsev Oct 9, 2024
a153a7b
Update doc/reference/linalg.rst
antonwolfy Oct 9, 2024
9fd347b
Merge branch 'master' into impl_svdvals
antonwolfy Oct 9, 2024
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1 change: 1 addition & 0 deletions doc/reference/linalg.rst
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Expand Up @@ -32,6 +32,7 @@ Decompositions
dpnp.linalg.cholesky
dpnp.linalg.qr
dpnp.linalg.svd
dpnp.linalg.svdvals

Matrix eigenvalues
------------------
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4 changes: 2 additions & 2 deletions dpnp/linalg/dpnp_iface_linalg.py
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Expand Up @@ -1318,9 +1318,9 @@ def svd(a, full_matrices=True, compute_uv=True, hermitian=False):

def svdvals(x, /):
"""
Returns the singular values of a matrix (or a stack of matrices) ``x``.
Returns the singular values of a matrix (or a stack of matrices) `x`.

When ``x`` is a stack of matrices, the function will compute
When `x` is a stack of matrices, the function will compute
the singular values for each matrix in the stack.

Calling ``dpnp.linalg.svdvals(x)`` to get singular values is the same as
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