diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h | 19 |
1 files changed, 11 insertions, 8 deletions
diff --git a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h index 92cd142653..617a2da337 100644 --- a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h @@ -30,7 +30,11 @@ namespace arm_compute { class ITensor; -/** Interface for the quantization layer kernel. */ +/** Interface for the quantization layer kernel. + * + * @note The implementation supports only 3D input tensors + * + */ class NEQuantizationLayerKernel : public INEKernel { public: @@ -48,12 +52,12 @@ public: ~NEQuantizationLayerKernel() = default; /** Set the input, output, min and max. * - * @param[in] input Source tensor. Data types supported: F32. - * @param[out] output Destination tensor. Data types supported: U8. - * @param[in] min Pointer to the minimum value of the input tensor. - * @param[in] max Pointer to the 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 types supported: F32. + * @param[out] output Destination tensor with the same dimensions of input. Data types supported: U8. + * @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_NEQUANTIZATIONLAYERKERNEL_H__ */ |