| /* |
| * Copyright (c) 2017-2019 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_CLLOCALLYCONNECTEDLAYER_H |
| #define ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H |
| |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include "arm_compute/core/CL/kernels/CLCol2ImKernel.h" |
| #include "arm_compute/core/CL/kernels/CLIm2ColKernel.h" |
| #include "arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h" |
| #include "arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Basic function to compute the locally connected layer. This function calls the following OpenCL kernels: |
| * |
| * -# @ref CLWeightsReshapeKernel (executed only once for each configuration) |
| * -# @ref CLIm2ColKernel |
| * -# @ref CLLocallyConnectedMatrixMultiplyKernel |
| * -# @ref CLCol2ImKernel |
| */ |
| class CLLocallyConnectedLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| CLLocallyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLLocallyConnectedLayer(const CLLocallyConnectedLayer &) = delete; |
| /** Default move constructor */ |
| CLLocallyConnectedLayer(CLLocallyConnectedLayer &&) = default; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLLocallyConnectedLayer &operator=(const CLLocallyConnectedLayer &) = delete; |
| /** Default move assignment operator */ |
| CLLocallyConnectedLayer &operator=(CLLocallyConnectedLayer &&) = default; |
| /** Set the input and output tensors. |
| * |
| * @param[in] input Source tensor. 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: F32. |
| * @param[in] weights Weights tensor. Weights are 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches]. Data type supported:Same as @p input. |
| * @param[in] biases Biases tensor. Shared biases supported. Biases are 2D tensor with dimensions [OFM, num_patches]. Data type supported:Same as @p input. |
| * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| * Data types supported: Same as @p input. |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| */ |
| void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLLocallyConnectedLayer |
| * |
| * @param[in] input Input tensor info. 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: F32. |
| * @param[in] weights Weights tensor info. Weights are 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches]. Data type supported:Same as @p input. |
| * @param[in] biases Biases tensor info. Shared biases supported. Biases are 2D tensor with dimensions [OFM, num_patches]. Data type supported:Same as @p input. |
| * @param[in] output Output tensor info. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. |
| * Data types supported: Same as @p input. |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info); |
| |
| // Inherited methods overridden: |
| void run() override; |
| void prepare() override; |
| |
| private: |
| MemoryGroup _memory_group; |
| CLIm2ColKernel _input_im2col_kernel; |
| CLWeightsReshapeKernel _weights_reshape_kernel; |
| CLLocallyConnectedMatrixMultiplyKernel _mm_kernel; |
| CLCol2ImKernel _output_col2im_kernel; |
| CLTensor _input_im2col_reshaped; |
| CLTensor _weights_reshaped; |
| CLTensor _gemm_output; |
| bool _is_prepared; |
| const ICLTensor *_original_weights; |
| }; |
| } |
| #endif /* ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H */ |