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/*
* Copyright (c) 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_CPU_ELEMENTWISE_KERNEL_H
#define ARM_COMPUTE_CPU_ELEMENTWISE_KERNEL_H
#include "src/core/common/Macros.h"
#include "src/cpu/ICpuKernel.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
/** Interface for an element-wise operation kernel
*
* Element-wise operation is computed by:
* @f[ dst(x,y) = OP(src0(x,y), src1(x,y))@f]
*
*/
class CpuElementwiseKernel : public ICpuKernel
{
public:
CpuElementwiseKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuElementwiseKernel);
using ElementwiseFunction = void(const ITensor *, const ITensor *, ITensor *, const Window &);
struct UKernelInfo
{
std::string name;
std::function<ElementwiseFunction> ukernel;
};
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
protected:
/** Validate the argument passed to the kernel
*
* @param[in] src0 First tensor input. Data types supported: QASYMM8/S16/F16/S32/F32.
* @param[in] src1 Second tensor input. Data types supported: Same as @p src0.
* @param[in] dst Output tensor. Data types supported: Dependent on subclass.
*/
static Status validate_arguments_common(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
/** Commmon configure function for element-wise operators with no additional options (e.g. Min, Max, SquaredDiff)
*
*/
void configure_common(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
/** Function to get the micro kernel implementation
*
* @param[in] src0 First input tensor information
* @param[in] src1 Second input tensor information
* @param[in] dst Output tensor information
*
* @return the function instance for the micro kernel
*/
virtual UKernelInfo get_implementation(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst) = 0;
protected:
std::function<ElementwiseFunction> _run_method{ nullptr };
std::string _name{};
};
class CpuArithmeticKernel : public CpuElementwiseKernel
{
public:
CpuArithmeticKernel() = default;
/** Configure kernel
*
* @param[in] op Arithmetic operation to be executed.
* @param[in] src0 First tensor input info. Data types supported: QASYMM8/S16/F16/S32/F32.
* @param[in] src1 Second tensor input info. Data types supported: Same as @p src0.
* @param[out] dst Output tensor info. Data types supported: Same as @p src0.
*/
void configure(ArithmeticOperation op, const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuArithmeticKernel::configure()
*
* @return a status
*/
static Status validate(ArithmeticOperation op, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
protected:
// Inherited methods overridden:
static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
ArithmeticOperation _op{};
private:
/** Function to get the micro kernel implementation
*
* @param[in] src0 First input tensor information
* @param[in] src1 Second input tensor information
* @param[in] dst Output tensor information
*
* @return the function instance for the micro kernel
*/
UKernelInfo get_implementation(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst) override;
};
class CpuDivisionKernel : public CpuArithmeticKernel
{
public:
CpuDivisionKernel() = default;
/** Configure kernel
*
* @param[in] src0 First tensor input info. Data types supported: S32/F16/F32.
* @param[in] src1 Second tensor input info. Data types supported: Same as @p src0.
* @param[out] dst Output tensor info. Data types supported: Same as @p src0.
*/
void configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuDivisionKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
protected:
// Inherited methods overridden:
static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
};
class CpuPowerKernel : public CpuArithmeticKernel
{
public:
CpuPowerKernel() = default;
/** Configure kernel
*
* @param[in] src0 First tensor input info. Data types supported: F16/F32.
* @param[in] src1 Second tensor input info. Data types supported: Same as @p src0.
* @param[out] dst Output tensor info. Data types supported: Same as @p src0.
*/
void configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuPowerKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
protected:
// Inherited methods overridden:
static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
};
class CpuComparisonKernel : public CpuElementwiseKernel
{
public:
CpuComparisonKernel() = default;
/** Configure kernel
*
* @param[in] op Comparison operation to be executed.
* @param[in] src0 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
* @param[in] src1 Second tensor input info. Data types supported: Same as @p src0.
* @param[out] dst Output tensor info. Data types supported: U8.
*/
void configure(ComparisonOperation op, const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuComparisonKernel::configure()
*
* @return a status
*/
static Status validate(ComparisonOperation op, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst);
protected:
// Inherited methods overridden:
static Status validate_arguments(const ITensorInfo &src0, const ITensorInfo &src1, const ITensorInfo &dst);
private:
/** Function to get the micro kernel implementation
*
* @param[in] src0 First input tensor information
* @param[in] src1 Second input tensor information
* @param[in] dst Output tensor information
*
* @return the function instance for the micro kernel
*/
UKernelInfo get_implementation(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst) override;
ComparisonOperation _op{};
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif /* ARM_COMPUTE_CPU_ELEMENTWISE_KERNEL_H */
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