Add in-place transform support for inv() #736
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Change the behavior of the inv() transform as follows: - No longer unconditionally overwrite the input with factorized data. Previously, (Ainv = inv(A)).run() would write the inverse to A and the LU factorization to A. - Support in-place transforms like (A = inv(A)).run(). Previously, this would run, but the results would be incorrect because the underlying cuBLAS calls only support out-of-place solves. - The above are achieved by always creating a temporary workbuffer and copying the input into that work buffer. - Add support for input operators (i.e., not just tensors). The operator runs when populating the temporary input work buffer.
tbensonatl
requested review from
cliffburdick,
luitjens,
tmartin-gh and
tylera-nvidia
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cliffburdick
approved these changes
Aug 26, 2024
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Change the behavior of the inv() transform as follows: