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Tfloat patch 3: implements DotProductSSE() for FAST_FLOAT #3493

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Commits on Jul 13, 2021

  1. Add TFloat data type for neural network

    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]>
    stweil committed Jul 13, 2021
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  2. Fix some compiler warnings

    Signed-off-by: Stefan Weil <[email protected]>
    stweil committed Jul 13, 2021
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  3. Optimize DotProductStdInnerProduct for float

    Signed-off-by: Stefan Weil <[email protected]>
    stweil committed Jul 13, 2021
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  4. Avoid double / float conversion

    Signed-off-by: Stefan Weil <[email protected]>
    stweil committed Jul 13, 2021
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  5. Implement TFloat for IntSimdMatrix

    Signed-off-by: Stefan Weil <[email protected]>
    stweil committed Jul 13, 2021
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  6. Test more implementations of DotProduct

    Signed-off-by: Stefan Weil <[email protected]>
    stweil committed Jul 13, 2021
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  7. Add unittest for dotproduct

    Signed-off-by: Stefan Weil <[email protected]>
    stweil committed Jul 13, 2021
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