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…ss 1 directory (#370) Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Fabien Casenave <[email protected]>
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@fbordeu can you use draft mode while you still work on the PR ? Here, tests fails and the PR is in Open mode (it's for use to have the signal to start the review :-) ) |
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| prediction[count][fn] = op.dot(sample_pred.get_field(fn)) | ||
| for sn in out_scalars_names: | ||
| prediction[count][sn] = sample_pred.get_scalar(sn) | ||
| prediction[count][sn] = sample_pred.get_global(sn) |
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I saw you changed the benchmarks, but the version of PLAID is fixed for theses benchmarks, and documented for each one. We shoud keep the original synthax
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ok, you want to keep get_scalar? the old implementation is just a redirection to get_global.
self.features.get_global(name)
and a global can be a numpy array; not a scalar. I think get_global is more appropriate.
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I'm not sure what was the exact behavior for each version tagged for each benchmark, so we're better off keeping the original code
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