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path: root/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
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2019-12-04COMPMID-2826 Comply with DCL51-CPPMichalis Spyrou
Rename all header guards to be compliant with DCL51-CPP Change-Id: I47b09375bb1b8d39d80c275ce69a3f25fb385d75 Signed-off-by: Michalis Spyrou <micspy01@e123758.cambridge.arm.com> Reviewed-on: https://review.mlplatform.org/c/2393 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2018-11-02COMPMID-1413 - Improve the performance of GEMMLowp with 8 bit dot product on ↵Gian Marco Iodice
OpenCL COMPMID-1424 - Add dot product support for CLDepthwise QASYMM8 3x3 NHWC non-unit stride With this patch we are able to improve the performance of MobileNet v1-qasymm8 by 37 % Tried to use the dot product instruction in CLDepthwise QASYMM8 3x3 NHWC non-unit stride but I have not seen any benefit (maybe because we have few arithemtic operation and we do not have more load instructions). However Depthwise convolution has been improved by 30% Change-Id: Id768a99c2e53a04276707e427af5d0ec93419ada Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/155082 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2018-11-02COMPMID-1519: Add support for 3D input/output in CLGEMMLowpOutputStageGeorgios Pinitas
Change-Id: I637add70310d2da4d82b236a6352af9d33be17a1 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/149706 Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com> Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com>
2018-11-02COMPMID-556: Rename Error to Status and inverse logicGeorgios Pinitas
Change-Id: Ib57d4f7177cc6179302bda7ad870acb8bd3825f5 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112115 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
2018-11-02COMPMID-706 - Add GEMMLowp output stage for scaling by a fixed point numberGian Marco
DoD: - Implement NEON kernel for quantizing down the gemmlowp result. The result should be scaled by a fixedpoint number - Implement OpenCL kernel for quantizing down the gemmlowp result. The result should be scaled by a fixedpoint number - Add test for validating the result Required for: - Integration of GEMMLowp in Android NN - Convolution quantized - Fully connected quantized Change-Id: Ia963d25d695471e963961fb49a5600e78374ac4f Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110981 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>