diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDequantizationLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDequantizationLayer.h | 43 |
1 files changed, 12 insertions, 31 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h b/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h index 90c454ef3e..b7c5bac844 100644 --- a/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDequantizationLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -24,52 +24,33 @@ #ifndef __ARM_COMPUTE_NEDEQUANTIZATIONLAYER_H__ #define __ARM_COMPUTE_NEDEQUANTIZATIONLAYER_H__ -#include "arm_compute/runtime/IFunction.h" - -#include "arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h" +#include "arm_compute/runtime/NEON/INESimpleFunctionNoBorder.h" #include "arm_compute/core/Types.h" namespace arm_compute { +// Forward declarations class ITensor; -/** Basic function to simulate a dequantization layer. This function calls the following NEON kernels: - * - * @note The implementation supports only 3D input tensors - * - * -# @ref NEDequantizationLayerKernel - * - */ -class NEDequantizationLayer : public IFunction +/** Basic function to run @ref NEDequantizationLayerKernel that dequantizes an input tensor */ +class NEDequantizationLayer : public INESimpleFunctionNoBorder { public: - /** Default constructor */ - NEDequantizationLayer(); /** Configure the kernel. * - * @param[in] input Source tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types 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 + * @param[in] input Source tensor. Data types supported: QASYMM8. + * @param[out] output Destination tensor with the same dimensions of input. Data type supported: F16/F32. */ - 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 NEDequantizationLayer * - * @param[in] input Input tensor info. Data types supported: U8. - * @param[in] output Output tensor info. Data type supported: F32. - * @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: QASYMM8. + * @param[in] output Output tensor info. Data type supported: F16/F32. * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *min_max); - - // Inherited methods overridden: - void run() override; - -private: - NEDequantizationLayerKernel _dequantize_kernel; + static Status validate(const ITensorInfo *input, const ITensorInfo *output); }; -} +} // namespace arm_compute #endif /* __ARM_COMPUTE_NEDEQUANTIZATIONLAYER_H__ */ |