Add specification for computing the number of non-zero singular values of a matrix (linalg: matrix_rank) #128
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This PR has been open for some time without further comment and has been discussed/approved during meetings. Will merge, and we can submit follow-up PRs should any issues/concerns arise. |
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For reference, inclusion of this API was discussed here. |
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This was a simple mistake, not discussed in the review for the PR that added `matrix_rank` (data-apisgh-128). Closes data-apisgh-469
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This PR
Notes
CuPy and Torch (
torch.matrix_rank) do not support providing stacks of matrices. Torch latestmasterdoes. This proposal follows NumPy and other linalg APIs in supporting stacks.Dask does not have a
matrix_rankAPI.NumPy, MXNet, Torch (latest
master) support ahermitiankeyword argument to indicate a potential optimization. This keyword argument is not widely supported and is not included in this proposal.Torch (latest
master), CuPy, and possibly TF only support specifyingtolas afloat. This PR follows NumPy and other API proposals (e.g.,pinvandlstsq) in allowingtolto be specified as either afloator anarrayof floats. Providing anarrayallows specifying one or more tolerances. This PR specifies tolerance asrtolto more explicitly indicate relative tolerance and to distinguish fromatol(absolute tolerance).TF supports a
validate_argskeyword argument. TF is alone in doing so, and such a keyword argument is not included in this proposal.