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2019-07-03COMPMID-2409: Add QSYMM16 support for PixelWiseMultiplication for NEONManuel Bottini
Change-Id: Idfd3b45857201d5143242f9517d3353150b2c923 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/1422 Reviewed-by: Pablo Marquez <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2019-03-15COMPMID-1694: Fuse offset contribution with the output stage when we use ↵George Wort
NEGEMMLowpMatrixMultiplyCore Change-Id: Ic1a681e4cc03e1eba3bf8485d9cdb17b3e926047 Signed-off-by: giuros01 <giuseppe.rossini@arm.com> Reviewed-on: https://review.mlplatform.org/c/561 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2018-11-02IVGCVSW-820: Add QASYMM8 support to NeonActivationLayerKernelMichel Iwaniec
Change-Id: Ic3881e97b4fcbae0ac287a1e010cfc6f0fd8d7d1 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112139 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>
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>