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/*
* Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_NEQUANTIZATIONLAYERKERNEL_H
#define ARM_COMPUTE_NEQUANTIZATIONLAYERKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Interface for the quantization layer kernel.
*
* @note The implementation supports only 3D input tensors
*
*/
class NEQuantizationLayerKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEQuantizationLayerKernel";
}
/** Default constructor */
NEQuantizationLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEQuantizationLayerKernel(const NEQuantizationLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEQuantizationLayerKernel &operator=(const NEQuantizationLayerKernel &) = delete;
/** Default Move Constructor. */
NEQuantizationLayerKernel(NEQuantizationLayerKernel &&) = default;
/** Default move assignment operator */
NEQuantizationLayerKernel &operator=(NEQuantizationLayerKernel &&) = default;
/** Default destructor */
~NEQuantizationLayerKernel() = default;
/** Set the input, output.
*
* @param[in] input Source tensor. The dimensions over the third will be interpreted as batches. Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16.
* @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16.
*
* @note Output auto initialization is not supported by this kernel
*/
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: QASYMM8/QASYMM8_SIGNED/F32/F16.
* @param[in] output Output tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
/** Common signature for all the specialised @ref NEQuantizationLayerKernel functions
*
* @param[in] window Region on which to execute the kernel.
*/
using QuantizationFunctionExecutorPtr = void (NEQuantizationLayerKernel::*)(const Window &window);
/** Function to apply QASYMM8 or QASYMM8_SIGNED quantization on a tensor.
*
* @param[in] window Region on which to execute the kernel.
*/
template <typename TIn, typename TOut>
void run_quantize_qasymm8(const Window &window);
/** Function to apply QASYMM16 quantization on a tensor.
*
* @param[in] window Region on which to execute the kernel.
*/
template <typename T>
void run_quantize_qasymm16(const Window &window);
const ITensor *_input;
ITensor *_output;
QuantizationFunctionExecutorPtr _func;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEQUANTIZATIONLAYERKERNEL_H */
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