Improved #3494: AVX2 bugfixes + no code duplication for the integer workhorses in there #3495
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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]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
Signed-off-by: Stefan Weil <[email protected]>
…ation: for TFloat to work, we don't need to duplicate the integer work functions as it's only the ExtractResults16[8,16] functions that need different implementations for float vs. double. These are therefor common to both implementations:
```
static void PartialMatrixDotVector64(const int8_t *wi, const TFloat *scales, const int8_t *u,
int num_in, TFloat *v) {
static void PartialMatrixDotVector32(const int8_t *wi, const TFloat *scales, const int8_t *u,
int num_in, TFloat *v) {
static void PartialMatrixDotVector16(const int8_t *wi, const TFloat *scales, const int8_t *u,
int num_in, TFloat *v) {
static inline void PartialMatrixDotVector8(const int8_t *wi, const TFloat *scales, const int8_t *u,
int num_in, TFloat *v) {
static void matrixDotVector(int dim1, int dim2, const int8_t *wi, const TFloat *scales,
const int8_t *u, TFloat *v) {
```
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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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Re-issued as stweil#5 |
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same as patch-4 (#3494) but now with reduced code duplication: for TFloat to work, we don't need to duplicate the integer work functions as it's only the ExtractResults16[8,16] functions that need different implementations for float vs. double. These are therefor common to both implementations:
(extract from #3490)