diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h | 195 |
1 files changed, 0 insertions, 195 deletions
diff --git a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h b/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h deleted file mode 100644 index 1a9dd6be2e..0000000000 --- a/arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h +++ /dev/null @@ -1,195 +0,0 @@ -/* - * Copyright (c) 2016-2020 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_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/QASYMM8_SIGNED/S16/QSYMM16/F16/F32 - * @param[in] input2 An input tensor. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QASYMM8_SIGNED (only if @p input1 is QASYMM8_SIGNED), S16, QSYMM16 (only if @p input1 is QSYMM16), 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. - * - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED. - * - S16. - * - QSYMM16, only if both inputs are QSYMM16. - * - S32, only if both inputs are QSYMM16. - * - 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, QASYMM8_SIGNED or QSYMM16. - * @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/QASYMM8_SIGNED/QSYMM16/S16/F16/F32 - * @param[in] input2 An input tensor info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QASYMM8_SIGNED (only if @p input1 is QASYMM8_SIGNED), S16, QSYMM16 (only if @p input1 is QSYMM16), 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. - * - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED. - * - S16. - * - QSYMM16, only if both inputs are QSYMM16. - * - S32, only if both inputs are QSYMM16. - * - 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, QASYMM8_SIGNED or QSYMM16. - * @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 MulFunctionQuantized = void(const void *__restrict input1_ptr, const void *__restrict input2_ptr, void *__restrict output_ptr, float scale, - const UniformQuantizationInfo &input1_qua_info, const UniformQuantizationInfo &input2_qua_info, const UniformQuantizationInfo &output_qua_info); - - MulFunctionFloat *_func_float; - MulFunctionInt *_func_int; - MulFunctionQuantized *_func_quantized; - -private: - const ITensor *_input1; - const ITensor *_input2; - ITensor *_output; - float _scale; - int _scale_exponent; - bool _run_optimized_qasymm8; -}; - -/** Interface for the complex pixelwise multiplication kernel. */ -class NEComplexPixelWiseMultiplicationKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEComplexPixelWiseMultiplicationKernel"; - } - /** Default constructor.*/ - NEComplexPixelWiseMultiplicationKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEComplexPixelWiseMultiplicationKernel(const NEComplexPixelWiseMultiplicationKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEComplexPixelWiseMultiplicationKernel &operator=(const NEComplexPixelWiseMultiplicationKernel &) = delete; - /** Allow instances of this class to be moved */ - NEComplexPixelWiseMultiplicationKernel(NEComplexPixelWiseMultiplicationKernel &&) = default; - /** Allow instances of this class to be moved */ - NEComplexPixelWiseMultiplicationKernel &operator=(NEComplexPixelWiseMultiplicationKernel &&) = default; - /** Initialise the kernel's input, output and border mode. - * - * @param[in] input1 An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor). - * @param[in] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1. - * @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1. - */ - void configure(const ITensor *input1, const ITensor *input2, ITensor *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEComplexPixelWiseMultiplicationKernel - * - * @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor). - * @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1. - * @param[in] output The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - BorderSize border_size() const override; - -private: - const ITensor *_input1; - const ITensor *_input2; - ITensor *_output; -}; - -} // namespace arm_compute -#endif /*ARM_COMPUTE_NEPIXELWISEMULTIPLICATIONKERNEL_H */ |