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/*
* Copyright (c) 2016-2019 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_NEPIXELWISEMULTIPLICATIONKERNEL_H__
#define __ARM_COMPUTE_NEPIXELWISEMULTIPLICATIONKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
class ITensor;
/** Interface for the kernel to perform addition between two tensors */
class NEPixelWiseMultiplicationKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEPixelWiseMultiplicationKernel";
}
/** Default constructor */
NEPixelWiseMultiplicationKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPixelWiseMultiplicationKernel(const NEPixelWiseMultiplicationKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPixelWiseMultiplicationKernel &operator=(const NEPixelWiseMultiplicationKernel &) = delete;
/** Allow instances of this class to be moved */
NEPixelWiseMultiplicationKernel(NEPixelWiseMultiplicationKernel &&) = default;
/** Allow instances of this class to be moved */
NEPixelWiseMultiplicationKernel &operator=(NEPixelWiseMultiplicationKernel &&) = default;
/** Default destructor */
~NEPixelWiseMultiplicationKernel() = default;
/** Initialise the kernel's input, output and border mode.
*
* @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] input1 An input tensor. Data types supported: U8/QASYMM8/S16/F16/F32
* @param[in] input2 An input tensor. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
* @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are 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.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8.
* @param[in] rounding_policy Rounding policy.
*/
void configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplicationKernel
*
* @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] input1 An input tensor info. Data types supported: U8/QASYMM8/S16/F16/F32
* @param[in] input2 An input tensor info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16, F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
* @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16 (only if @p input1 is F16), F32 (only if both inputs are 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.
* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if datatype is QASYMM8.
* @param[in] rounding_policy Rounding policy.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
BorderSize border_size() const override;
private:
/** Common signature for all the specialised multiplication functions with integer scaling factor
*
* @param[in] input1_ptr Pointer to the first input tensor.
* @param[in] input2_ptr Pointer to the second input tensor.
* @param[out] output_ptr Pointer to the output tensor.
* @param[in] scale Integer scale factor.
*/
using MulFunctionInt = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, int scale);
/** Common signature for all the specialised multiplication functions with float scaling factor
*
* @param[in] input1_ptr Pointer to the first input tensor.
* @param[in] input2_ptr Pointer to the second input tensor.
* @param[out] output_ptr Pointer to the output tensor.
* @param[in] scale Float scale factor.
*/
using MulFunctionFloat = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale);
/** Common signature for all the specialised QASYMM8 multiplication functions with float scaling factor
*
* @param[in] input1_ptr Pointer to the first input tensor.
* @param[in] input2_ptr Pointer to the second input tensor.
* @param[out] output_ptr Pointer to the output tensor.
* @param[in] scale Float scale factor.
* @param[in] input1_qua_info Quantization Info of tensor input1.
* @param[in] input2_qua_info Quantization Info of tensor input2.
* @param[in] output_qua_info Quantization Info of tensor output.
*
*/
using MulFunctionQASYMM8 = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale,
const QuantizationInfo &input1_qua_info, const QuantizationInfo &input2_qua_info, const QuantizationInfo &output_qua_info);
MulFunctionFloat *_func_float;
MulFunctionInt *_func_int;
MulFunctionQASYMM8 *_func_qasymm8;
private:
const ITensor *_input1;
const ITensor *_input2;
ITensor *_output;
float _scale;
int _scale_exponent;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEPIXELWISEMULTIPLICATIONKERNEL_H__ */
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