| /* |
| * 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_CLDEPTHWISEIM2COLKERNEL_H__ |
| #define __ARM_COMPUTE_CLDEPTHWISEIM2COLKERNEL_H__ |
| |
| #include "arm_compute/core/CL/ICLKernel.h" |
| #include "arm_compute/core/Size2D.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Interface for the depthwise im2col reshape kernel. |
| * This kernel reshape the input low 3 dimensions to a new 3D shape where the output's first dimension is |
| * the linear patch size (FILTER_WIDTH * FILTER_HEIGHT) and second dimension is number of patches per image and third dimension unchanged . |
| **/ |
| class CLDepthwiseIm2ColKernel : public ICLKernel |
| { |
| public: |
| /** Default constructor */ |
| CLDepthwiseIm2ColKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLDepthwiseIm2ColKernel(const CLDepthwiseIm2ColKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLDepthwiseIm2ColKernel &operator=(const CLDepthwiseIm2ColKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| CLDepthwiseIm2ColKernel(CLDepthwiseIm2ColKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| CLDepthwiseIm2ColKernel &operator=(CLDepthwiseIm2ColKernel &&) = 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: QASYMM8/F16/F32 |
| * @param[out] output The output tensor. First 3 lower dimensions represent a transform of each 3D input, |
| * while every dimension above 3 represents a batch. 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 Boolean that specifies if the depthwise convolution has bias. |
| * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| */ |
| void configure(const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseIm2ColKernel |
| * |
| * @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: QASYMM8/F32 |
| * @param[in] output The output tensor. First 3 lower dimensions represent a transform of each 3D input, |
| * while every dimension above 3 represents a batch. 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 Boolean that specifies if the depthwise convolution has bias. |
| * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int depth_multiplier); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, cl::CommandQueue &queue) override; |
| |
| private: |
| const ICLTensor *_input; |
| ICLTensor *_output; |
| }; |
| } // arm_compute |
| #endif /*__ARM_COMPUTE_CLDEPTHWISEIM2COLKERNEL_H__ */ |