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| author | Gian Marco <gianmarco.iodice@arm.com> | 2017-11-17 09:27:57 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 6b77e917801b4e979796ea75c538eef740482089 (patch) | |
| tree | 0e693ecb1eb0b05018901a992b56781a08b9c266 /src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp | |
| parent | b3c81cb4100b3a449db5232364e18e649b26df58 (diff) | |
| download | ComputeLibrary-6b77e917801b4e979796ea75c538eef740482089.tar.gz | |
COMPMID-665 - NEON: Add QASYMM8 in place Activation layer
- Added min and max arguments for QuantizeDownInt32ToUint8Scale in order
to apply bounded relu
- Added support for int32_t biases
- Extended tests
Change-Id: I015dae17faa7284766b5435ca33bcf593c1b2b69
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/96512
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp index d09827f908..66cdf58634 100644 --- a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp +++ b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp @@ -29,9 +29,9 @@ using namespace arm_compute; -void NEGEMMLowpQuantizeDownInt32ToUint8Scale::configure(const ITensor *input, ITensor *output, int result_offset, int result_mult_int, int result_shift) +void NEGEMMLowpQuantizeDownInt32ToUint8Scale::configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_offset, int result_mult_int, int result_shift, int min, int max) { auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel>(); - k->configure(input, output, result_offset, result_mult_int, result_shift); + k->configure(input, bias, output, result_offset, result_mult_int, result_shift, min, max); _kernel = std::move(k); }
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