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/*
* Copyright (c) 2018-2020 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_CLELEMENTWISEOPERATIONS_H
#define ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
namespace arm_compute
{
class ICLTensor;
/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for addition
*
* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @note The function performs an arithmetic addition between two tensors.
*/
class CLArithmeticAddition : public ICLSimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (S16,U8) -> S16
* - (U8,S16) -> S16
* - (S16,S16) -> S16
* - (S32,S32) -> S32
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
*
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] policy Policy to use to handle overflow.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output and conversion policy.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (S16,U8) -> S16
* - (U8,S16) -> S16
* - (S16,S16) -> S16
* - (S32,S32) -> S32
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] policy Policy to use to handle overflow.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for addition
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (S16,U8) -> S16
* - (U8,S16) -> S16
* - (S16,S16) -> S16
* - (S32,S32) -> S32
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
*
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] policy Policy to use to handle overflow.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for subtraction
*
* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/S32/F16/F32.
* @note The function performs an arithmetic subtraction between two tensors.
*/
class CLArithmeticSubtraction : public ICLSimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (S16,U8) -> S16
* - (U8,S16) -> S16
* - (S16,S16) -> S16
* - (S32,S32) -> S32
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
*
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] policy Policy to use to handle overflow.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output and conversion policy.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (S16,U8) -> S16
* - (U8,S16) -> S16
* - (S16,S16) -> S16
* - (S32,S32) -> S32
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] policy Policy to use to handle overflow.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for subtraction
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (S16,U8) -> S16
* - (U8,S16) -> S16
* - (S16,S16) -> S16
* - (S32,S32) -> S32
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
*
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
* @param[in] policy Policy to use to handle overflow.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref CLSaturatedArithmeticOperationKernel 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 CLArithmeticDivision : public ICLSimpleFunction
{
public:
/** Initialise the kernel's inputs, output.
*
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivision
*
* @param[in] input1 First tensor input info. Data types supported: F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref CLArithmeticOperationKernel 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 ICLSimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for max
*
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: same as @p input1.
* @param[in] output Output tensor info. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref CLArithmeticOperationKernel 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 ICLSimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for min
*
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: same as @p input1.
* @param[in] output Output tensor info. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref CLArithmeticOperationKernel 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 ICLSimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for squared difference
*
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: same as @p input1.
* @param[in] output Output tensor info. Data types supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
/** Basic function to run @ref CLArithmeticOperationKernel 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 ICLSimpleFunction
{
public:
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. Data types supported:F16/F32.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output and conversion policy.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[in, out] input2 Second tensor input. Data types supported: F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output Output tensor. 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, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for power
*
* @param[in] input1 First tensor input info. Data types supported: F16/F32.
* @param[in] input2 Second tensor input info. Data types supported: F16/F32.
* @param[in] output Output tensor info. Data types supported: F16/F32.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H */
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