Tfloat patch 2 - bugfix for FMA FAST_FLOAT #3491
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Up to now Tesseract used double for training and recognition with "best" models. This commit replaces double by a new data type TFloat which is double by default, but float if FAST_FLOAT is defined. Ideally this should allow faster training. Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
…vector (8x32) (contrasting 4 double FPs: 4*64)
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Closed for reason: submitted against master, which is wrong base. Will re-issue, as github doesn't allow to change pullreq base (?at least I haven't seen how to do that, so re-issuing is the only alt?) --> #3494 (comment) |
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Now filed correctly here: stweil#1 |
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See commit: just merged your latest this morning and saw you had the same mistake as I had in #3490: 8 floats fit in 256 bits, contrasting 4 doubles. This corrects that and should produce correct numbers for DotProduct.