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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEConvolutionKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEConvolutionKernel.h | 267 |
1 files changed, 0 insertions, 267 deletions
diff --git a/arm_compute/core/NEON/kernels/NEConvolutionKernel.h b/arm_compute/core/NEON/kernels/NEConvolutionKernel.h deleted file mode 100644 index 2b271de56b..0000000000 --- a/arm_compute/core/NEON/kernels/NEConvolutionKernel.h +++ /dev/null @@ -1,267 +0,0 @@ -/* - * 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_NECONVOLUTIONKERNEL_H -#define ARM_COMPUTE_NECONVOLUTIONKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/NEON/INESimpleKernel.h" - -#include <array> -#include <cstdint> -#include <vector> - -namespace arm_compute -{ -class ITensor; - -/****************************************************************************************\ - * Square Convolution * -\****************************************************************************************/ - -/** Interface for the kernel to run an arbitrary size convolution on a tensor. (Currently supports 3x3, 5x5, 7x7 and 9x9). - * The client can supply a convolution matrix \f$ C_{m,n} \f$. - * @f{eqnarray}{ - * k_0 &=& \frac{m}{2} \\ - * l_0 &=& \frac{n}{2} \\ - * sum &=& \sum_{k=0,l=0}^{k=m-1,l=n-1} input(x+k-k_0, y+l-l_0) C_{k,l} - * @f} - * - * @note The above equation for this function is similar to the default OpenCV Filter2D function, - * which actually computes a correlation and not a convolution. - * In case of a real convolution the convolution matrix should be flipped both horizontally and vertically. - */ -template <unsigned int matrix_size> -class NEConvolutionKernel : public INESimpleKernel -{ -public: - const char *name() const override - { - return "NEConvolutionKernel"; - } - /** Default constructor */ - NEConvolutionKernel(); - /** Initialise the kernel's input, output and border mode. - * - * @param[in] input Source tensor. Data type supported: U8. - * @param[out] output Destination tensor. Data types supported: U8, S16. - * @param[in] conv Convolution matrix to apply to the input tensor. - * @param[in] scale Scale of the convolution matrix. If 0 is passed, it will be set to the sum of the coefficients of the convolution or 1 if they add up to 0. - * @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant. - */ - void configure(const ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, bool border_undefined); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - BorderSize border_size() const override; - -private: - template <typename OutputType> - void convolution(const Window &win); - -protected: - uint32_t _scale; /**< scale of the convolution */ - std::array<int16_t, matrix_size *matrix_size> _convolution; /**< convolution matrix */ -}; - -/** Interface for the kernel which applied a 3x3 convolution to a tensor.*/ -using NEConvolution3x3Kernel = NEConvolutionKernel<3>; -/** Interface for the kernel which applied a 5x5 convolution to a tensor.*/ -using NEConvolution5x5Kernel = NEConvolutionKernel<5>; -/** Interface for the kernel which applied a 7x7 convolution to a tensor.*/ -using NEConvolution7x7Kernel = NEConvolutionKernel<7>; -///** Interface for the kernel which applied a 9x9 convolution to a tensor.*/ -using NEConvolution9x9Kernel = NEConvolutionKernel<9>; - -/****************************************************************************************\ - * Separable Square Convolution * -\****************************************************************************************/ - -/** Kernel for the Horizontal pass of a Separable Convolution */ -template <unsigned int matrix_size> -class NESeparableConvolutionHorKernel : public INESimpleKernel -{ -public: - const char *name() const override - { - return "NESeparableConvolutionHorKernel"; - } - /** Default constructor */ - NESeparableConvolutionHorKernel(); - - /** Initialise the kernel's input, output and border mode. - * - * @param[in] input Source tensor. Data type supported: U8. - * @param[out] output Destination tensor. Data types supported: U16, S16, S32. - * @param[in] conv_row Convolution matrix to apply to the input tensor. - * @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant. - */ - void configure(const ITensor *input, ITensor *output, const int16_t *conv_row, bool border_undefined); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - BorderSize border_size() const override; - -private: - /** Apply the object's convolution to the given window of the input tensor.. - * - * @param[in] window Window to apply the convolution on. - */ - template <typename OutputType> - void convolve(const Window &window); - - std::array<int16_t, matrix_size> _conv_row; /**< Convolution coefficients */ - BorderSize _border_size; /**< Border size */ -}; - -/** Interface for the kernel which applied a 5x1 horizontal convolution to a tensor.*/ -using NESeparableConvolution5x5HorKernel = NESeparableConvolutionHorKernel<5>; -/** Interface for the kernel which applied a 7x1 horizontal convolution to a tensor.*/ -using NESeparableConvolution7x7HorKernel = NESeparableConvolutionHorKernel<7>; -/** Interface for the kernel which applied a 9x1 horizontal convolution to a tensor.*/ -using NESeparableConvolution9x9HorKernel = NESeparableConvolutionHorKernel<9>; - -/** Kernel for the Vertical pass of a Separable Convolution */ -template <unsigned int matrix_size> -class NESeparableConvolutionVertKernel : public INESimpleKernel -{ -public: - const char *name() const override - { - return "NESeparableConvolutionVertKernel"; - } - /** Default constructor */ - NESeparableConvolutionVertKernel(); - - /** Initialise the kernel's input, output and border mode. - * - * @param[in] input Source tensor. Data type supported: U16, S16, S32. - * @param[out] output Destination tensor, Data types supported: U8, S16. - * @param[in] conv_col Convolution matrix to apply to the input tensor. - * @param[in] scale Scale of the convolution matrix - * @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant. - */ - void configure(const ITensor *input, ITensor *output, const int16_t *conv_col, uint32_t scale, bool border_undefined); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - BorderSize border_size() const override; - -private: - /** Apply the object's convolution to the given window of the input tensor. - * This function is used if the intermediate values have been stored as U16. - * - * @param[in] win Window to apply the convolution on. - */ - template <typename OutputType> - void convolution_u16(const Window &win); - /** Apply the object's convolution to the given window of the input tensor. - * This function is used if the intermediate values have been stored as S16. - * - * @param[in] win Window to apply the convolution on. - */ - template <typename OutputType> - void convolution_s16(const Window &win); - /** Apply the object's convolution to the given window of the input tensor. - * This function is used if the intermediate values have been stored as S32. - * - * @param[in] win Window to apply the convolution on. - */ - template <typename OutputType> - void convolution_s32(const Window &win); - - std::array<int16_t, matrix_size> _conv_col; /**< Convolution coefficients */ - uint32_t _scale; /**< Convolution's scale */ -}; - -/** Interface for the kernel which applied a 1x5 vertical convolution to a tensor.*/ -using NESeparableConvolution5x5VertKernel = NESeparableConvolutionVertKernel<5>; -/** Interface for the kernel which applied a 1x7 vertical convolution to a tensor.*/ -using NESeparableConvolution7x7VertKernel = NESeparableConvolutionVertKernel<7>; -/** Interface for the kernel which applied a 1x9 vertical convolution to a tensor.*/ -using NESeparableConvolution9x9VertKernel = NESeparableConvolutionVertKernel<9>; - -/****************************************************************************************\ - * Rectangle Convolution * -\****************************************************************************************/ - -/** Kernel for the running convolution on a rectangle matrix. - * - * @note Supports combinations of 3,5,7 and 9. - */ -class NEConvolutionRectangleKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEConvolutionRectangleKernel"; - } - /** Default constructor */ - NEConvolutionRectangleKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEConvolutionRectangleKernel(NEConvolutionRectangleKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEConvolutionRectangleKernel &operator=(NEConvolutionRectangleKernel &) = delete; - /** Allow instances of this class to be moved */ - NEConvolutionRectangleKernel(NEConvolutionRectangleKernel &&) = default; - /** Allow instances of this class to be moved */ - NEConvolutionRectangleKernel &operator=(NEConvolutionRectangleKernel &&) = default; - /** Initialise the kernel's input, output and border mode. - * - * @param[in] input Source tensor. Data type supported: U8. - * @param[out] output Destination tensor, Data types supported: U8, S16. - * @param[in] conv Convolution matrix to apply to the input tensor. - * @param[in] width Width of convolution matrix (Number of columns) - * @param[in] height Height of convolution matrix (Number of rows) - * @param[in] scale Scale of the convolution matrix. If 0 is passed, it will be set to the sum of the coefficients of the convolution or 1 if they add up to 0. - * @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant. - */ - void configure(const ITensor *input, ITensor *output, const int16_t *conv, uint32_t width, uint32_t height, uint32_t scale, bool border_undefined); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - BorderSize border_size() const override; - -private: - unsigned int get_index(uint32_t val); - /** Apply the object's convolution to the given window of the input tensor. - * - * @param[in] win Window to apply the convolution on. - */ - template <typename OutputType, unsigned int rows, unsigned int cols> - void convolution(const Window &win); - -protected: - const ITensor *_input; /**< Input tensor */ - ITensor *_output; /**< Output tensor */ - uint32_t _scale; /**< Scale of the convolution */ - std::vector<int16_t> _convolution; /**< Convolution matrix */ - BorderSize _border_size; /**< Calculated border width */ - uint32_t _func_idx; /**< Index used to specify convolution function to be used */ - const static unsigned int _nr_supported_sizes - { - 4 - }; /**< Number of supported permutations */ -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_NECONVOLUTIONKERNEL_H */ |