| /* |
| * 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_NECONVOLUTIONLAYER_H__ |
| #define __ARM_COMPUTE_NECONVOLUTIONLAYER_H__ |
| |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include "arm_compute/core/NEON/kernels/NECol2ImKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h" |
| #include "arm_compute/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEIm2ColKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Function to reshape and perform 1xW transposition on the weights. This function calls the following kernels: |
| * -# @ref NEWeightsReshapeKernel |
| * -# @ref NEGEMMTranspose1xWKernel (executed in case GEMM is required for the operation) |
| */ |
| class NEConvolutionLayerReshapeWeights : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEConvolutionLayerReshapeWeights(); |
| /** 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/QS16/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 ITensor *weights, const ITensor *biases, ITensor *output, bool transpose1xW); |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| NEWeightsReshapeKernel _weights_reshape_kernel; |
| NEGEMMTranspose1xWKernel _weights_transposed_kernel; |
| Tensor _weights_reshaped; |
| bool _transpose1xW; |
| }; |
| |
| /** Basic function to simulate a convolution layer. This function calls the following NEON kernels: |
| * -# @ref NEWeightsReshapeKernel (executed only once for each configuration) |
| * -# @ref NEIm2ColKernel |
| * -# @ref NEGEMMInterleave4x4Kernel (executed only in case GEMM is required for the operation) |
| * -# @ref NEGEMMMatrixMultiplyKernel |
| * -# @ref NECol2ImKernel |
| */ |
| class NEConvolutionLayer : public IFunction |
| { |
| public: |
| /** Constructor */ |
| NEConvolutionLayer(); |
| /** 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/QS16/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: 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. |
| * @param[in] weights_info Specifies if the weights tensor has been reshaped with NEWeightsReshapeKernel. If this is not part of the fully connected layer the weights |
| * tensor has also been transposed with NEGEMMTranspose1xWKernel. Data type supported: Same as @p input. |
| */ |
| void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo()); |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| NEIm2ColKernel _input_im2col_kernel; |
| NEGEMMInterleave4x4Kernel _input_interleave_kernel; |
| NEConvolutionLayerReshapeWeights _reshape_weights; |
| NEGEMMMatrixMultiplyKernel _mm_kernel; |
| NECol2ImKernel _output_col2im_kernel; |
| Tensor _input_im2col_reshaped; |
| Tensor _input_interleaved_reshaped; |
| Tensor _weights_reshaped; |
| Tensor _gemm_output; |
| bool _has_bias; |
| bool _is_fully_connected_convolution; |
| bool _are_weights_reshaped; |
| }; |
| } |
| #endif /* __ARM_COMPUTE_NECONVOLUTIONLAYER_H__ */ |