126 lines
7.3 KiB
C
126 lines
7.3 KiB
C
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/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H
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#define ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/IMemoryManager.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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#include <memory>
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namespace arm_compute
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{
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class CLCompileContext;
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class CLCol2ImKernel;
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class CLIm2ColKernel;
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class CLWeightsReshapeKernel;
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class CLLocallyConnectedMatrixMultiplyKernel;
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class ICLTensor;
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class ITensorInfo;
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/** Basic function to compute the locally connected layer. This function calls the following OpenCL kernels:
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*
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* -# @ref CLWeightsReshapeKernel (executed only once for each configuration)
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* -# @ref CLIm2ColKernel
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* -# @ref CLLocallyConnectedMatrixMultiplyKernel
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* -# @ref CLCol2ImKernel
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*/
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class CLLocallyConnectedLayer : public IFunction
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{
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public:
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/** Default constructor */
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CLLocallyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLLocallyConnectedLayer(const CLLocallyConnectedLayer &) = delete;
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/** Default move constructor */
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CLLocallyConnectedLayer(CLLocallyConnectedLayer &&) = default;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLLocallyConnectedLayer &operator=(const CLLocallyConnectedLayer &) = delete;
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/** Default move assignment operator */
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CLLocallyConnectedLayer &operator=(CLLocallyConnectedLayer &&) = default;
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/** Set the input and output tensors.
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*
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* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
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* while every optional dimension from 4 and above represent a batch of inputs.
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* Data types supported: F32.
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* @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.
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* @param[in] biases Biases tensor. Shared biases supported. Biases are 2D tensor with dimensions [OFM, num_patches]. Data type supported:Same as @p input.
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* @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
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* Data types supported: Same as @p input.
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* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
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*/
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ARM_COMPUTE_DEPRECATED_REL(20.11)
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void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
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/** Set the input and output tensors.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
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* while every optional dimension from 4 and above represent a batch of inputs.
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* Data types supported: F32.
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* @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.
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* @param[in] biases Biases tensor. Shared biases supported. Biases are 2D tensor with dimensions [OFM, num_patches]. Data type supported:Same as @p input.
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* @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
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* Data types supported: Same as @p input.
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* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
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*/
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ARM_COMPUTE_DEPRECATED_REL(20.11)
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void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
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/** Static function to check if given info will lead to a valid configuration of @ref CLLocallyConnectedLayer
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*
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* @param[in] input Input tensor info. 3 lower dimensions represent a single input [width, height, IFM],
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* while every optional dimension from 4 and above represent a batch of inputs.
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* Data types supported: F32.
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* @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.
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* @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.
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* @param[in] output Output tensor info. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
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* Data types supported: Same as @p input.
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* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info);
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// Inherited methods overridden:
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void run() override;
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void prepare() override;
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private:
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MemoryGroup _memory_group;
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std::unique_ptr<CLIm2ColKernel> _input_im2col_kernel;
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std::unique_ptr<CLWeightsReshapeKernel> _weights_reshape_kernel;
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std::unique_ptr<CLLocallyConnectedMatrixMultiplyKernel> _mm_kernel;
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std::unique_ptr<CLCol2ImKernel> _output_col2im_kernel;
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CLTensor _input_im2col_reshaped;
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CLTensor _weights_reshaped;
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CLTensor _gemm_output;
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bool _is_prepared;
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const ICLTensor *_original_weights;
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};
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}
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#endif /* ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H */
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