ENH: cupyx/scipy/signal: add missing LTI format conversions #7652
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ev-br
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Rebased on main, this PR is ready for review. |
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/test full |
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This pull request is now in conflicts. Could you fix it @ev-br? 🙏 |
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/test full |
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This pull request is now in conflicts. Could you fix it @ev-br? 🙏 |
takagi
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Jul 12, 2023
cupyx/scipy/signal/_polyutils.py
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| seq_of_zeros = np.linalg.eigvals(A.get()) | ||
| seq_of_zeros = cupy.asarray(seq_of_zeros) | ||
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| dt = seq_of_zeros.dtype | ||
| a = cupy.ones((1,), dtype=dt) | ||
| for zero in seq_of_zeros: | ||
| a = cupy.convolve(a, cupy.r_[1, -zero], mode='full') | ||
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| if issubclass(a.dtype.type, cupy.complexfloating): | ||
| # if complex roots are all complex conjugates, the roots are real. | ||
| roots = cupy.asarray(seq_of_zeros, dtype=complex) | ||
| if cupy.all(cupy.sort(roots) == cupy.sort(roots.conjugate())): | ||
| a = a.real.copy() |
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How about computing on CPU not only eigvals but also the whole of these calculations, then cupy.asarray just before return?
takagi
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Jul 12, 2023
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| assert_array_almost_equal(b, [-2, 1, 2, 4, 1]) | ||
| assert_array_almost_equal(a, [1, 10, 0, -10, -1]) |
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Would you remove these unreachable lines?
takagi
reviewed
Jul 12, 2023
Wrap NumPy's `linalg.eigvals` on CPU (not available in CUDA otherwise).
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Comments addressed. |
takagi
approved these changes
Jul 14, 2023
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/test full |
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Thanks, @ev-br! |
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Thank you for the reviews! (this PR and others) |
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cross-ref gh-7403
Note that there are two utilities which delegate to NumPy on CPU,
_polyutils.rootsand.poly. Both rely onnp.linalg.eigvals, which on GPU is only available from MAGMA.this is on top of gh-7644