diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h | 24 |
1 files changed, 11 insertions, 13 deletions
diff --git a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h index ca7658bb7e..391a72c6db 100644 --- a/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -54,32 +54,30 @@ public: NEQuantizationLayerKernel &operator=(NEQuantizationLayerKernel &&) = default; /** Default destructor */ ~NEQuantizationLayerKernel() = default; - /** Set the input, output, min and max. + /** Set the input, output. * - * @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 + * @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. */ - void configure(const ITensor *input, ITensor *output, const ITensor *min_max); + 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. - * @param[in] output Output tensor info. Data types supported: U8. - * @param[in] min_max Info for 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. + * @param[in] input Input tensor info. Data types supported: F32/F16. + * @param[in] output Output tensor info. Data types supported: QASYMM8. * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max); + static Status validate(const ITensorInfo *input, const ITensorInfo *output); // Inherited methods overridden: void run(const Window &window, const ThreadInfo &info) override; private: + template <typename T> + void quantize(const Window &window, const QuantizationInfo &qinfo); + const ITensor *_input; ITensor *_output; - const ITensor *_min_max; }; } // namespace arm_compute #endif /*__ARM_COMPUTE_NEQUANTIZATIONLAYERKERNEL_H__ */ |