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authorGian Marco <gianmarco.iodice@arm.com>2017-11-21 10:57:50 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:41:17 +0000
commit05288a2b871ef99f544771621c3bba409b2f70df (patch)
tree21e3d2a9927ef31f6d5bcdd5523c4c8e933047a6 /docs
parentc82799003fbfdc5bb9526ff944e41eaae23e3f03 (diff)
downloadComputeLibrary-05288a2b871ef99f544771621c3bba409b2f70df.tar.gz
COMPMID-697 - Rework GEMMLowp interface on OpenCL
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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index b5a1d59f6a..cc12897278 100644
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@@ -253,7 +253,7 @@ v17.03.1 First Major public release of the sources
- New CPP target introduced for C++ kernels shared between NEON and CL functions.
- New padding calculation interface introduced and ported most kernels / functions to use it.
- New OpenCL kernels / functions:
- - @ref arm_compute::CLGEMMLowpMatrixMultiplyKernel / @ref arm_compute::CLGEMMLowp
+ - @ref arm_compute::CLGEMMLowpMatrixMultiplyKernel / arm_compute::CLGEMMLowp
- New NEON kernels / functions:
- @ref arm_compute::NENormalizationLayerKernel / @ref arm_compute::NENormalizationLayer
- @ref arm_compute::NETransposeKernel / @ref arm_compute::NETranspose