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/*
* Copyright (c) 2019-2022 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_CPU_GEMMLOWP_QUANTIZEDOWN_INT32TOINT8_SCALEBYFIXEDPOINT_KERNEL_H
#define ARM_COMPUTE_CPU_GEMMLOWP_QUANTIZEDOWN_INT32TOINT8_SCALEBYFIXEDPOINT_KERNEL_H
#include "arm_compute/core/KernelDescriptors.h"
#include "src/core/common/Macros.h"
#include "src/cpu/ICpuKernel.h"
namespace arm_compute
{
// Forward declaration
class ITensor;
namespace cpu
{
namespace kernels
{
/** Kernel used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8_SIGNED
*
* This kernel takes a final int32 accumulator value (the output of @ref CpuGemmLowpMatrixMultiplyKernel), and processes it to obtain the final QASYMM8_SIGNED value.
* The following computations will be performed by the kernel:
*
* -# Compute fixed point multiplication between each entry of input by result_fixedpoint_multiplier
* -# Add bias to final result if bias tensor is not a nullptr
* -# Round to nearest division by a power-of-two using result_shift
* -# Add offset to each result
* -# Clamp the value between the specified min and max bounds
* -# Clamp the resulting int32 values to the [-128..127] range and cast to QASYMM8_SIGNED.
*
*/
class CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel
: public ICpuKernel<CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel>
{
public:
CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel);
/** Initialise the kernel's input and output.
*
* @param[in] src Input tensor info. Data type supported: S32
* @param[in] bias Biases tensor info. Only shared biases supported and it can be a nullptr if the biases addition is not required.
* Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
* @param[out] dst Output tensor info. Data type supported: Data type supported: QASYMM8_SIGNED
* @param[in] result_fixedpoint_multiplier Fixed point value to be multiplied to each element of the input matrix when once the result_offset has been add
* @param[in] result_shift Integer value used to round to nearest division by a power-of-two the result after the fixed point multiplication
* @param[in] result_offset_after_shift Offset to be applied to result before converting it back to QASYMM8_SIGNED
* @param[in] min (Optional) Min value used to saturate down the output result before converting back to QASYMM8_SIGNED
* @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8_SIGNED,
* Along with @p min, this value can be used to implement "rectified linear unit" activation functions
*/
void configure(ITensorInfo *src,
ITensorInfo *bias,
ITensorInfo *dst,
int result_fixedpoint_multiplier,
int result_shift,
int result_offset_after_shift,
int min = 0,
int max = 0);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::configure()
*
* @return a status
*/
static Status
validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, int min = 0, int max = 0);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
private:
/** Template function to run the CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel
*
* @param[in] src Input tensor info
* @param[in] bias Bias tensor info
* @param[out] dst Output tensor info
* @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
*/
template <bool is_bounded_relu>
void run_internal(const ITensor *src, const ITensor *bias, ITensor *dst, const Window &window);
/** Common signature for all the specialised CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel functions
*
* @param[in] src Input tensor info
* @param[in] bias Bias tensor info
* @param[out] dst Output tensor info
* @param[in] window Region on which to execute the kernel.
*/
using QuantizeDownFunctionPtr = void (CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::*)(
const ITensor *src, const ITensor *bias, ITensor *dst, const Window &window);
QuantizeDownFunctionPtr _func{nullptr};
int _result_fixedpoint_multiplier{0};
int _result_shift{0};
int _result_offset_after_shift{0};
int _min{0};
int _max{0};
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif /* ARM_COMPUTE_CPU_GEMMLOWP_QUANTIZEDOWN_INT32TOINT8_SCALEBYFIXEDPOINT_KERNEL_H */
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