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path: root/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
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2020-07-09COMPMID-3324: Adjusting capitalization of Arm copyright claim to reflect Arm ↵Michele Di Giorgio
preferred presentation Change-Id: Ib7dcfcbb24b408999dfae366b9da396485aacf78 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3525 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-05-12COMPMID-3439: Fix peephole and projection in CLQLSTMLayerSang-Hoon Park
The followings are essential to make it work - QSYMM16 is added as supported data type in CLGEMMLowpOutputStage - Internal TensorCopyKernel is added similar to NEQLSTMLayer The followings are fix for related things. - Projection is modified to remove copy of projection_bias from NEQLSTMLayer. - Fix wrong argument for validate_mm() - validate_mm() now returns on error. Change-Id: Icbd04e9fdb8821eb41dd3e0a6a0980965b779714 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3177 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2020-04-23COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2Manuel Bottini
- CLFunctions have been updated Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-04-21COMPMID-3236: Implement CLQLSTMLayerMichele Di Giorgio
COMPMID-3081: Extend CLQLSTMLayer with enhancements Change-Id: Idb7aaaacdba957e5ad61e94edeab2e898730a109 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3057 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-03-26COMPMID-2966 Add support for QASYMM8_SIGNED in ↵Luca Foschiani
NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel Signed-off-by: Luca Foschiani <luca.foschiani@arm.com> Change-Id: Ia8692f8fda16fa3b73f343e4b5b1b55e14403225 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2750 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-03-25COMPMID-2968: Add support for QASYMM8_SIGNED in ↵Sheri Zhang
CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloatKernel Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: I37e6e76dbd5546c0eaedfacd01ea905c37148e8a Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2861 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2020-03-23COMPMID-2967 Add support for QASYMM8_SIGNED in ↵Luca Foschiani
CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel Signed-off-by: Luca Foschiani <luca.foschiani@arm.com> Change-Id: I4f7918630ea95fc28597b3d7b189f3d8fd35aef8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2890 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-03-11COMPMID-3069: Remove unnecessary uses of ToolchainSupport.hMatthew Bentham
Change-Id: I9c09d1002043fd2f927493a85924298d54b1ad9c Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2854 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2020-03-09COMPMID-2789: Add support for QASYMM8_SIGNED in CLGEMMDeconvolutionLayerSheri Zhang
Change-Id: I7e3bcb01025e827f6f62491749c691c205ee7481 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2844 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2019-12-03COMPMID-2794: Add support for QASYMM8_SIGNED in CLGEMMLowpOutputStageManuel Bottini
Change-Id: I93ad3e5b9531ce1699214ff6e657a76ffdaacedd Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/2396 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2019-07-11COMPMID-2410: Create a new GEMMLowpQuantizeDownInt32ToInt16ScaleKernel for CLManuel Bottini
Change-Id: Iab74b72f7adf712a1baf16aab916ea7c8d2bf92f Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/1497 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2018-11-08COMPMID-1451: Removed output_depth3d from ↵Gian Marco Iodice
CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat Since we perform an element-wise operation, it is not necessary to pass the output_depth3d. Change-Id: Ibfa07a0706e902acf59b444aa61e18a348162ea9
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-1451: Perform CLOutputStage using floats.Georgios Pinitas
Change-Id: Ic8312a5b6790aa7cd4468d42f08d557ad40e9441 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/154570 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@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>
2018-11-02COMPMID-697 - Rework GEMMLowp interface on OpenCLGian Marco
Reworked the interface of GemmLowp in order to make easy the integration in Android NN - Added support for different output stage - Added validation for both matrix multiplication and output stage - Added bounded relu support in the output stage - Added in32_t bias support - Added optimized path for vector by matrix case This rework is required for: - Convolution quantized - Fully connected quantized Change-Id: I512283d406099cf8c614dd89d0a97ed411143afc Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110625 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
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