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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h | 121 |
1 files changed, 0 insertions, 121 deletions
diff --git a/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h b/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h deleted file mode 100644 index 7a43eab478..0000000000 --- a/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h +++ /dev/null @@ -1,121 +0,0 @@ -/* - * Copyright (c) 2017-2020 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); - /** Set the input and output tensors. - * - * @param[in] compile_context The compile context to be used. - * @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 CLCompileContext &compile_context, 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 */ |