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authorGian Marco Iodice <gianmarco.iodice@arm.com>2018-10-18 10:21:02 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:55:45 +0000
commit4b90865ab985d571f70c60583cdfb8c7a65f1670 (patch)
treef116a4ffef5f5e823689dd00c1e5c9d987f3d295 /src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
parentc55beee7ef70fa08a5d217619083b288a74fcb27 (diff)
downloadComputeLibrary-4b90865ab985d571f70c60583cdfb8c7a65f1670.tar.gz
COMPMID-1413 - Improve the performance of GEMMLowp with 8 bit dot product on 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>
Diffstat (limited to 'src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp')
-rw-r--r--src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp b/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
index f5dc655776..f1c24626dc 100644
--- a/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
+++ b/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
@@ -45,17 +45,17 @@ Status CLGEMMLowpQuantizeDownInt32ToUint8Scale::validate(const ITensorInfo *inpu
void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
- int min, int max, unsigned int output_3d_depth)
+ int min, int max)
{
auto k = arm_compute::support::cpp14::make_unique<CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel>();
- k->configure(input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, output_3d_depth);
+ k->configure(input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max);
_kernel = std::move(k);
}
Status CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output,
- int min, int max, unsigned int output_3d_depth)
+ int min, int max)
{
- return CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(input, bias, output, min, max, output_3d_depth);
+ return CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(input, bias, output, min, max);
}
void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFloat::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,