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/*
* Copyright (c) 2020-2021 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_CL_GEMMLOWP_QUANTIZEDOWN_INT32_SCALE_BY_FIXEDPOINT_KERNEL_H
#define ARM_COMPUTE_CL_GEMMLOWP_QUANTIZEDOWN_INT32_SCALE_BY_FIXEDPOINT_KERNEL_H
#include "src/core/common/Macros.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClKernel.h"
namespace arm_compute
{
namespace opencl
{
namespace kernels
{
/** OpenCL kernel used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8/QASYMM8_SIGNED/QSYMM16
*
* This kernel takes a final int32 accumulator value (the output of the matrix multiplication), and processes it to obtain the final quantized value.
* The following computations will be performed by the kernel:
*
* -# Compute fixed point multiplication between each entry of input by gemmlowp_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 proper quantized range and cast to QASYMM8/QASYMM8_SIGNED/QSYMM16.
*/
class ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel : public IClKernel
{
public:
ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel();
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel);
/** Initialise the kernel's source and destination.
*
* @param[in] compile_context The compile context to be used.
* @param[in] src Source tensor. Data type supported: S32
* @param[in] bias Biases tensor. 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 src.
* @param[out] dst Destination tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM16.
* @param[in] info Output stage info. Used to pass the quantized output data type
*/
void configure(const CLCompileContext &compile_context,
const ITensorInfo *src,
const ITensorInfo *bias,
ITensorInfo *dst,
const GEMMLowpOutputStageInfo *info);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to @ref ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src,
const ITensorInfo *bias,
const ITensorInfo *dst,
const GEMMLowpOutputStageInfo *info);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
};
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CL_GEMMLOWP_QUANTIZEDOWN_INT32_SCALE_BY_FIXEDPOINT_KERNEL_H */
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