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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-10-21 00:04:14 +0100 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-11-03 15:10:47 +0000 |
| commit | ebcebf1dee7f8314976b1e0cabd62b4cf893d765 (patch) | |
| tree | 95d3e691a0e88a3e213a1d30446a9224497f2055 /arm_compute/runtime/NEON/functions/NEQuantizationLayer.h | |
| parent | da4b1b2055d96aaf73704eb9b0b82d74dc2d699c (diff) | |
| download | ComputeLibrary-ebcebf1dee7f8314976b1e0cabd62b4cf893d765.tar.gz | |
COMPMID-3638: Move NEON kernels
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: Ieed3e4bc8be7fef80c90c5094599b477a56fc473
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4285
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEQuantizationLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEQuantizationLayer.h | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h index 266b3df87a..36302f4741 100644 --- a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h +++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h @@ -26,7 +26,6 @@ #include "arm_compute/runtime/IFunction.h" -#include "arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h" #include "arm_compute/runtime/NEON/INESimpleFunctionNoBorder.h" #include "arm_compute/core/Types.h" @@ -34,6 +33,7 @@ namespace arm_compute { class ITensor; +class ITensorInfo; /** Basic function to simulate a quantization layer. This function calls the following NEON kernels: * @@ -44,8 +44,6 @@ class ITensor; class NEQuantizationLayer : public INESimpleFunctionNoBorder { public: - /** Default constructor */ - NEQuantizationLayer() = default; /** Set the input and output tensors. * * @param[in] input Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16. |