diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEQuantizationLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEQuantizationLayer.h | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h index ab189fe3a2..d91b4ad1ad 100644 --- a/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h +++ b/arm_compute/runtime/NEON/functions/NEQuantizationLayer.h @@ -26,7 +26,7 @@ #include "arm_compute/runtime/IFunction.h" -#include "arm_compute/core/NEON/kernels/NEMinMaxLocationKernel.h" +#include "arm_compute/core/NEON/kernels/NEMinMaxLayerKernel.h" #include "arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h" #include "arm_compute/runtime/Tensor.h" @@ -38,7 +38,9 @@ class ITensor; /** Basic function to simulate a quantization layer. This function calls the following NEON kernels: * - * -# @ref NEMinMaxKernel + * @note The implementation supports only 3D input tensors + * + * -# @ref NEMinMaxLayerKernel * -# @ref NEQuantizationLayerKernel * */ @@ -49,8 +51,8 @@ public: NEQuantizationLayer(); /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F32 - * @param[out] output Destination tensor. Data types supported: U8 + * @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 */ void configure(const ITensor *input, ITensor *output); @@ -59,9 +61,8 @@ public: private: NEQuantizationLayerKernel _quantize_kernel; - NEMinMaxKernel _min_max_kernel; - float _min; - float _max; + NEMinMaxLayerKernel _min_max_kernel; + Tensor _min_max; }; } #endif /* __ARM_COMPUTE_NEQUANTIZATIONLAYER_H__ */ |