| /* |
| * 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_CLCONVOLUTIONLAYER_H__ |
| #define __ARM_COMPUTE_CLCONVOLUTIONLAYER_H__ |
| |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include "arm_compute/core/CL/kernels/CLCol2ImKernel.h" |
| #include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" |
| #include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h" |
| #include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h" |
| #include "arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.h" |
| #include "arm_compute/core/CL/kernels/CLIm2ColKernel.h" |
| #include "arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/CLMemoryGroup.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/functions/CLGEMM.h" |
| #include "arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h" |
| #include "arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Function to reshape and transpose the weights. This function calls the following kernels: |
| * -# @ref CLWeightsReshapeKernel |
| * -# @ref CLGEMMTranspose1xWKernel |
| */ |
| class CLConvolutionLayerReshapeWeights : public IFunction |
| { |
| public: |
| /** Constructor */ |
| CLConvolutionLayerReshapeWeights(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Set the input and output tensors. |
| * |
| * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. |
| * Data type supported: QS8/QASYMM8/QS16/F16/F32. |
| * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. |
| * @param[out] output Destination tensor. Data types supported: Same as @p weights. |
| * @param[in] transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise. |
| * Data types supported: Same as @p weights. |
| */ |
| void configure(const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, bool transpose1xW); |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| CLMemoryGroup _memory_group; |
| CLWeightsReshapeKernel _weights_reshape_kernel; |
| CLGEMMTranspose1xWKernel _weights_transposed_kernel; |
| CLTensor _weights_reshaped; |
| bool _transpose1xW; |
| }; |
| |
| /** Basic function to compute the convolution layer. This function calls the following OpenCL kernels/functions: |
| * |
| * Note: weights already reshaped for quantized asymmetric is not supported |
| * |
| * -# @ref CLIm2ColKernel |
| * -# @ref CLGEMMLowpMatrixMultiplyCore (if quantized asymmetric) |
| * -# @ref CLGEMMLowpQuantizeDownInt32ToUint8Scale (if quantized asymmetric) |
| * -# @ref CLCol2ImKernel |
| * |
| * if the weights are already reshaped: |
| * -# @ref CLGEMMInterleave4x4Kernel |
| * -# @ref CLGEMMMatrixMultiplyKernel |
| * else |
| * -# @ref CLGEMM |
| */ |
| class CLConvolutionLayer : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| CLConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** 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: QS8/QASYMM8/QS16/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] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. |
| * Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type. |
| * @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. |
| * @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. If this is not part of the fully connected layer the weights |
| * tensor has also been transposed with CLGEMMTranspose1xWKernel. Data type supported: Same as @p input. |
| */ |
| void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo()); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| /** Configures the appropriate matrix multiply routine |
| * |
| * @param input Input tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32. |
| * @param weights Weights tensor. Data type supported: Same as @p input. |
| * @param output Output tensor. Data types supported: Same as @p input, |
| * except for input of QASYMM8 type where output should be of S32 type. |
| * @param is_interleaved_transposed Flag that signals if matrix is interleaved transposed |
| */ |
| void configure_mm(const ICLTensor *input, const ICLTensor *weights, ICLTensor *output, bool is_interleaved_transposed, bool are_weights_reshaped); |
| |
| private: |
| CLMemoryGroup _memory_group; |
| CLConvolutionLayerReshapeWeights _reshape_weights; |
| CLIm2ColKernel _im2col_kernel; |
| CLGEMMInterleave4x4Kernel _interleave_kernel; |
| CLGEMMMatrixMultiplyKernel _mm_kernel; |
| CLGEMM _mm_gemm; |
| CLGEMMLowpMatrixMultiplyCore _mm_gemmlowp; |
| CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint _gemmlowp_output_stage; |
| CLCol2ImKernel _col2im_kernel; |
| |
| CLTensor _im2col_output; |
| CLTensor _interleave_output; |
| CLTensor _weights_reshaped; |
| CLTensor _weights_transposed; |
| CLTensor _gemm_output; |
| CLTensor _tmp_output; |
| |
| bool _are_weights_reshaped; |
| bool _is_quantized; |
| bool _is_interleaved_transposed; |
| }; |
| } |
| #endif /* __ARM_COMPUTE_CLCONVOLUTIONLAYER_H__ */ |