| /* |
| * Copyright (c) 2017-2018 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_NEIM2COLKERNEL_H__ |
| #define __ARM_COMPUTE_NEIM2COLKERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| class Size2D; |
| |
| /** Interface for the im2col reshape kernel. |
| * |
| * Rearranges image blocks into columns. It is used to strip out each convolution block to a single column. |
| * It is used to transform a convolution to a plain matrix multiplication. |
| * |
| * For example taking into account the image below and assuming 3x3 image blocks with stride of 1 we have: |
| * |
| * @f[ |
| * \left( \begin{array}{cccc} |
| * a00 & a01 & a02 & a03 \\ |
| * a10 & a11 & a12 & a13 \\ |
| * a20 & a21 & a22 & a23 \\ |
| * a30 & a31 & a32 & a33 \\ |
| * \end{array} \right) |
| * \rightarrow |
| * \left( \begin{array}{ccccccccc} |
| * a00 & a01 & a02 & a10 & a11 & a12 & a20 & a21 & a22 \\ |
| * a01 & a02 & a03 & a11 & a12 & a13 & a21 & a22 & a23 \\ |
| * a10 & a11 & a12 & a20 & a21 & a22 & a30 & a31 & a32 \\ |
| * a11 & a12 & a13 & a21 & a22 & a23 & a31 & a32 & a33 \\ |
| * \end{array} \right) |
| * @f] |
| */ |
| class NEIm2ColKernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEIm2ColKernel"; |
| } |
| /** Default constructor */ |
| NEIm2ColKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEIm2ColKernel(const NEIm2ColKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEIm2ColKernel &operator=(const NEIm2ColKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| NEIm2ColKernel(NEIm2ColKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| NEIm2ColKernel &operator=(NEIm2ColKernel &&) = default; |
| /** Default destructor */ |
| ~NEIm2ColKernel() = default; |
| |
| /** Set the input and output of the kernel. |
| * |
| * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], |
| * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/QASYMM8/F16/F32 |
| * Note: QASYMM8 works only for has_bias = false |
| * @param[out] output The output tensor. Data types supported: Same as @p input |
| * @param[in] kernel_dims The kernel dimensions (width and height). |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] has_bias In case biases are provided expands the matrix with 1. |
| * @param[in] is_fully_connected Determines whether this kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments |
| * @param[in] is_flatten (Optional) Determines whether this kernel will be called by @ref NEFlattenLayer in order to validate the arguments |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| */ |
| void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, |
| bool has_bias, bool is_fully_connected = false, bool is_flatten = false, const Size2D &dilation = Size2D(1U, 1U)); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEIm2ColKernel |
| * |
| * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], |
| * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QS16/QASYMM8/F16/F32 |
| * Note: QASYMM8 works only for has_bias = false |
| * @param[in] output The output tensor. Data types supported: Same as @p input |
| * @param[in] kernel_dims The kernel dimensions (width and height). |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @param[in] has_bias In case biases are provided expands the matrix with 1. |
| * @param[in] is_fully_connected Determines whether this kernel will be called by @ref NEFullyConnectedLayer in order to validate the arguments |
| * @param[in] is_flatten (Optional) Determines whether this kernel will be called by @ref NEFlattenLayer in order to validate the arguments |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, |
| bool has_bias, bool is_fully_connected, bool is_flatten = false, const Size2D &dilation = Size2D(1U, 1U)); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| |
| private: |
| /** Template function to run the im2col optimised for the fully connected and flatten layers case |
| * |
| * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| */ |
| template <typename T> |
| void run_reduced(const Window &window); |
| /** Template function to run the im2col used for the convolution layer case |
| * |
| * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()). |
| */ |
| template <typename T, bool has_pads> |
| void run_generic(const Window &window); |
| /** Common signature for all the specialised im2col functions |
| * |
| * @param[in] window Region on which to execute the kernel. |
| */ |
| using Im2ColFunctionPtr = void (NEIm2ColKernel::*)(const Window &window); |
| |
| Im2ColFunctionPtr _func; |
| const ITensor *_input; |
| ITensor *_output; |
| std::pair<unsigned int, unsigned int> _convolved_dims; |
| PadStrideInfo _conv_info; |
| unsigned int _kernel_width; |
| unsigned int _kernel_height; |
| bool _has_bias; |
| Size2D _dilation; |
| }; |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_NEIM2COLKERNEL_H__ */ |