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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-08-29 16:05:25 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 06b184ac568dc974986bae680957c4477f8ef6ca (patch) | |
| tree | fa97d020f81f9a17edb6b50394f2bdf46f810ce9 /arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h | |
| parent | 351c20a361521101307d365a4f91ad883fa272ea (diff) | |
| download | ComputeLibrary-06b184ac568dc974986bae680957c4477f8ef6ca.tar.gz | |
COMPMID-439 - Refactored NEQuantizationLayer and NEQuantizationLayer in order to support 3D input tensors
Change-Id: I03eac2108a30bed56d40dfd52e75577a35d492e0
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85783
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h | 19 |
1 files changed, 11 insertions, 8 deletions
diff --git a/arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h index 095a833ab4..8f66b8a64f 100644 --- a/arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h @@ -30,7 +30,11 @@ namespace arm_compute { class ITensor; -/** Interface for the dequantization layer kernel. */ +/** Interface for the dequantization layer kernel. + * + * @note The implementation supports only 3D input tensors + * + */ class NEDequantizationLayerKernel : public INEKernel { public: @@ -48,12 +52,12 @@ public: ~NEDequantizationLayerKernel() = default; /** Set input, output, min and max. * - * @param[in] input Source tensor. Data types supported: U8. - * @param[out] output Destination tensor. Data types supported: F32. - * @param[in] min Minimum value of the input tensor. - * @param[in] max Maximum value of the input tensor. + * @param[in] input Source tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data type supported: U8. + * @param[out] output Destination tensor with the same dimensions of input. Data type supported: F32. + * @param[in] min_max Pointer to the tensor with shape [2, batches] which stores the minimum and maximum value for each 3D input tensor. + * The dimensions over the second must match the batched dimensions of the input tensor. Data type supported: F32 */ - void configure(const ITensor *input, ITensor *output, const float *min, const float *max); + void configure(const ITensor *input, ITensor *output, const ITensor *min_max); // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; @@ -61,8 +65,7 @@ public: private: const ITensor *_input; ITensor *_output; - const float *_min; - const float *_max; + const ITensor *_min_max; }; } #endif /*__ARM_COMPUTE_NEDEQUANTIZATIONLAYERKERNEL_H__ */ |