| /* |
| * Copyright (c) 2017 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_GCDIRECTCONVOLUTIONLAYERKERNEL_H__ |
| #define __ARM_COMPUTE_GCDIRECTCONVOLUTIONLAYERKERNEL_H__ |
| |
| #include "arm_compute/core/GLES_COMPUTE/IGCKernel.h" |
| #include "arm_compute/core/GLES_COMPUTE/OpenGLES.h" |
| |
| namespace arm_compute |
| { |
| class IGCTensor; |
| |
| /** Interface for the direct convolution kernel. |
| */ |
| template <unsigned int kernel_size> |
| class GCDirectConvolutionLayerKernel : public IGCKernel |
| { |
| public: |
| /** Default constructor */ |
| GCDirectConvolutionLayerKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| GCDirectConvolutionLayerKernel(const GCDirectConvolutionLayerKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| GCDirectConvolutionLayerKernel &operator=(const GCDirectConvolutionLayerKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| GCDirectConvolutionLayerKernel(GCDirectConvolutionLayerKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| GCDirectConvolutionLayerKernel &operator=(GCDirectConvolutionLayerKernel &&) = default; |
| /** Default destructor */ |
| ~GCDirectConvolutionLayerKernel() = 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: F16/F32 |
| * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input. |
| * @param[in] bias Biases tensor. Shared bias supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input. |
| * @param[out] output The output tensor. First 2 lower dimensions represent a transform of each 3D input, |
| * while every dimension above represents a batch. Data types supported: Same as @p input |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| */ |
| void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *bias, IGCTensor *output, const PadStrideInfo &conv_info); |
| |
| // Inherited methods overridden: |
| BorderSize border_size() const override; |
| |
| // Inherited methods overridden: |
| void run(const Window &window) override; |
| |
| private: |
| const IGCTensor *_input; |
| const IGCTensor *_bias; |
| const IGCTensor *_weights; |
| IGCTensor *_output; |
| BorderSize _border_size; |
| int _conv_stride_x; |
| int _conv_stride_y; |
| int _conv_pad_x; |
| int _conv_pad_y; |
| gles::NDRange _lws; |
| }; |
| |
| using GCDirectConvolutionLayer1x1Kernel = GCDirectConvolutionLayerKernel<1>; |
| using GCDirectConvolutionLayer3x3Kernel = GCDirectConvolutionLayerKernel<3>; |
| using GCDirectConvolutionLayer5x5Kernel = GCDirectConvolutionLayerKernel<5>; |
| } |
| #endif /*__ARM_COMPUTE_GCDIRECTCONVOLUTIONLAYERKERNEL_H__ */ |