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/*
* Copyright (c) 2016-2023 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_MUL_KERNEL_H
#define ARM_COMPUTE_CPU_MUL_KERNEL_H
#include "arm_compute/core/Rounding.h"
#include "src/core/common/Macros.h"
#include "src/cpu/ICpuKernel.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
/** Interface for the kernel to perform multiplication between two tensors */
class CpuMulKernel : public ICpuKernel<CpuMulKernel>
{
public:
CpuMulKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuMulKernel);
/** Initialise the kernel's input, dst and border mode.
*
* Valid configurations (Src1,Src2) -> Dst :
*
* Support: Broadcast? Scale=1/255?
* - (U8,U8) -> U8, S16 N Y
* - (U8,S16) -> S16 N Y
* - (S16,U8) -> S16 N Y
* - (S16,S16) -> S16 N Y
* - (S32,S32) -> S32 Y N
* - (F16,F16) -> F16 N Y
* - (F32,F32) -> F32 Y Y
* - (QASYMM8,QASYMM8) -> QASYMM8 Y Y
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED Y Y
* - (QSYMM16,QSYMM16) -> QSYMM16, S32 N Y
*
* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
*
* @param[in] src1 First input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
* @param[in] src2 Second input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
* @param[out] dst Dst tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* If both @p src1, @p src2 and @p dst are of datatype S32, scale cannot be 1/255
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
* @param[in] rounding_policy Rounding policy.
*/
void configure(ITensorInfo *src1,
ITensorInfo *src2,
ITensorInfo *dst,
float scale,
ConvertPolicy overflow_policy,
RoundingPolicy rounding_policy);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to @ref CpuMulKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src1,
const ITensorInfo *src2,
const ITensorInfo *dst,
float scale,
ConvertPolicy overflow_policy,
RoundingPolicy rounding_policy);
// Inherited methods overridden
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
/** Return minimum workload size of the relevant kernel
*
* @param[in] platform The CPU platform used to create the context.
* @param[in] thread_count Number of threads in the execution.
*
* @return[out] mws Minimum workload size for requested configuration.
*/
size_t get_mws(const CPUInfo &platform, size_t thread_count) const override;
/** Get the preferred dimension in which the scheduler splits the work into multiple jobs.
*
* @return The split dimension hint.
*/
size_t get_split_dimension_hint() const
{
return _split_dimension;
}
private:
/** Common signature for all the specialised multiplication functions with integer scaling factor
*
* @param[in] src1 Src1 tensor object.
* @param[in] src2 Src2 tensor object.
* @param[out] dst Dst tensor object.
* @param[in] window Region on which to execute the kernel
* @param[in] scale Integer scale factor.
*/
using MulFunctionInt =
void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, int scale);
/** Common signature for all the specialised multiplication functions with float scaling factor
*
* @param[in] src1 Src1 tensor object.
* @param[in] src2 Src2 tensor object.
* @param[out] dst Dst tensor object.
* @param[in] window Region on which to execute the kernel
* @param[in] scale Float scale factor.
*/
using MulFunctionFloat =
void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, float scale);
/** Common signature for all the specialised QASYMM8 multiplication functions with float scaling factor
*
* @param[in] src1 Src1 tensor object.
* @param[in] src2 Src2 tensor object.
* @param[out] dst Dst tensor object.
* @param[in] window Region on which to execute the kernel
* @param[in] scale Float scale factor.
*
*/
using MulFunctionQuantized =
void(const ITensor *src1, const ITensor *src2, ITensor *dst, const Window &window, float scale);
MulFunctionFloat *_func_float{nullptr};
MulFunctionInt *_func_int{nullptr};
MulFunctionQuantized *_func_quantized{nullptr};
float _scale{0};
int _scale_exponent{0};
size_t _split_dimension{Window::DimY};
};
/** Interface for the complex pixelwise multiplication kernel. */
class CpuComplexMulKernel : public ICpuKernel<CpuComplexMulKernel>
{
public:
CpuComplexMulKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuComplexMulKernel);
/** Initialise the kernel's src, dst and border mode.
*
* @param[in] src1 An src tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
* @param[in] src2 An src tensor. Data types supported: same as @p src1. Number of channels supported: same as @p src1.
* @param[out] dst The dst tensor, Data types supported: same as @p src1. Number of channels supported: same as @p src1.
*/
void configure(ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to @ref CpuComplexMulKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif /* ARM_COMPUTE_CPU_MUL_KERNEL_H */
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