From d64a46c6dfa81ce4607fc3de57bc9d9ac7e01e4a Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Tue, 1 Oct 2019 12:25:49 +0100 Subject: COMPMID-2699: Add support for QASYMM16 in NEQuantizationLayer Change-Id: Icb968e37551a9048040e9aaff5329e874c53a2ee Signed-off-by: Michele Di Giorgio Reviewed-on: https://review.mlplatform.org/c/2016 Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas --- .../core/NEON/kernels/NEQuantizationLayerKernel.h | 25 +++++++++++++++++++--- 1 file changed, 22 insertions(+), 3 deletions(-) (limited to 'arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h') diff --git a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h index 391a72c6db..e1aaad5094 100644 --- a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h @@ -57,13 +57,15 @@ public: /** Set the input, output. * * @param[in] input Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: F32/F16. - * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8. + * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM16. + * + * @note Output auto initialization is not supported by this kernel */ void configure(const ITensor *input, ITensor *output); /** Static function to check if given info will lead to a valid configuration of @ref NEQuantizationLayerKernel * * @param[in] input Input tensor info. Data types supported: F32/F16. - * @param[in] output Output tensor info. Data types supported: QASYMM8. + * @param[in] output Output tensor info. Data types supported: QASYMM8/QASYMM16. * * @return a status */ @@ -73,11 +75,28 @@ public: void run(const Window &window, const ThreadInfo &info) override; private: + /** Common signature for all the specialised @ref NEQuantizationLayerKernel functions + * + * @param[in] window Region on which to execute the kernel. + */ + using QuantizationFunctionExecutorPtr = void (NEQuantizationLayerKernel::*)(const Window &window); + /** Function to apply QASYMM8 quantization on a tensor. + * + * @param[in] window Region on which to execute the kernel. + */ template - void quantize(const Window &window, const QuantizationInfo &qinfo); + void run_quantize_qasymm8(const Window &window); + /** Function to apply QASYMM16 quantization on a tensor. + * + * @param[in] window Region on which to execute the kernel. + */ + template + void run_quantize_qasymm16(const Window &window); const ITensor *_input; ITensor *_output; + + QuantizationFunctionExecutorPtr _func; }; } // namespace arm_compute #endif /*__ARM_COMPUTE_NEQUANTIZATIONLAYERKERNEL_H__ */ -- cgit v1.2.1