ClElementwiseOperations.h

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/*
 * Copyright (c) 2021, 2023 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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#ifndef ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H
#define ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H
 
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClOperator.h"
 
namespace arm_compute
{
namespace opencl
{
/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for division
 *
 * @note The tensor data type for the inputs must be F16/F32.
 * @note The function performs an arithmetic division between two tensors.
 */
class ClElementwiseDivision : public IClOperator
{
public:
    /** Configure function for a given list of arguments.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  src1            First source tensor info. Data types supported: F16/F32.
     * @param[in]  src2            Second source tensor info. same as @p src1.
     * @param[out] dst             Destination tensor info. Data types supported: same as @p src1.
     * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Static function to check if given info will lead to a valid configuration
     *
     * Similar to @ref ClElementwiseDivision::configure()
     *
     * @return a status
     */
    static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
 
/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for max
 *
 * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
 * @note The function performs a max operation between two tensors.
 */
class ClElementwiseMax : public IClOperator
{
public:
    /** Configure function for a given list of arguments.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  src1            First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
     * @param[in]  src2            Second source tensor info. Data types supported: same as @p src1.
     * @param[out] dst             Destination tensor info. Data types supported: same as @p src1.
     * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Static function to check if given info will lead to a valid configuration
     *
     * Similar to @ref ClElementwiseMax::configure()
     *
     * @return a status
     */
    static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
 
/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for min
 *
 * @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
 * @note The function performs a max operation between two tensors.
 */
class ClElementwiseMin : public IClOperator
{
public:
    /** Configure function for a given list of arguments.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  src1            First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
     * @param[in]  src2            Second source tensor info. Data types supported: same as @p src1.
     * @param[out] dst             Destination tensor info. Data types supported: same as @p src1.
     * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Static function to check if given info will lead to a valid configuration
     *
     * Similar to @ref ClElementwiseMin::configure()
     *
     * @return a status
     */
    static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
 
/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for squared difference
 *
 * @note The tensor data type for the inputs must be QASYMM8/U8/S16/QSYMM16/F16/F32.
 * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
 */
class ClElementwiseSquaredDiff : public IClOperator
{
public:
    /** Configure function for a given list of arguments.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  src1            First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
     * @param[in]  src2            Second source tensor info. Data types supported: same as @p src1.
     * @param[out] dst             Destination tensor info. Data types supported: same as @p src1.
     * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Static function to check if given info will lead to a valid configuration
     *
     * Similar to @ref ClElementwiseSquaredDiff::configure()
     *
     * @return a status
     */
    static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
 
/** Basic function to run @ref opencl::kernels::ClArithmeticKernel for power
 *
 * @note The tensor data type for the inputs must be F16/F32.
 * @note The function performs an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
 */
class ClElementwisePower : public IClOperator
{
public:
    /** Configure function for a given list of arguments.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  src1            First source tensor info. Data types supported: F16/F32.
     * @param[in]  src2            Second source tensor info. Data types supported: F16/F32.
     * @param[out] dst             Destination tensor info. Data types supported:F16/F32.
     * @param[in]  act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Static function to check if given info will lead to a valid configuration
     *
     * Similar to @ref ClElementwisePower::configure()
     *
     * @return a status
     */
    static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H */