BUG: np.einsum() fails with a 0-dimensional out argument and optimize='optimal'#31354
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seberg
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Thanks, small nit, but I think it is also good as is.
Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
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@seberg There was a missing |
seberg
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Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
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Thanks @krivenko, nice little fix! |
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…='optimal' (#31354) It replaces the expression out[:] found in bmm_einsum() with the more universal out[...], which is also valid for a 0-dimensional out. TestEinsum.test_einsum_misc() in numpy/_core/tests/test_einsum.py has been extended. Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
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BUG: np.einsum() fails with a 0-dimensional out argument and optimize='optimal' (#31354)
MaanasArora
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…='optimal' (numpy#31354) It replaces the expression out[:] found in bmm_einsum() with the more universal out[...], which is also valid for a 0-dimensional out. TestEinsum.test_einsum_misc() in numpy/_core/tests/test_einsum.py has been extended. Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
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PR summary
This PR fixes #31350.
It replaces the expression
out[:]found inbmm_einsum()with the more universalout[...], which is also valid for a 0-dimensionalout.TestEinsum.test_einsum_misc()innumpy/_core/tests/test_einsum.pyhas been extended to cover #31350.First time committer introduction
I am a researcher who uses NumPy in a multitude of scientific computing projects, mostly simulation codes for computational condensed matter theory. I discovered the issue #31350 while working on one of such (private) projects.
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