Tfloat patch 3: implements DotProductSSE() for FAST_FLOAT #3493
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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]>
|
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) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
extract from #3490. Tested to produce the correct numbers in the benchmark mentioned in #3486