| /* |
| * 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_GRAPH_CONVOLUTION_LAYER_H__ |
| #define __ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_H__ |
| |
| #include "arm_compute/graph/GraphContext.h" |
| #include "arm_compute/graph/INode.h" |
| #include "arm_compute/graph/ITensorObject.h" |
| #include "arm_compute/graph/SubTensor.h" |
| #include "arm_compute/graph/Tensor.h" |
| #include "arm_compute/graph/Types.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| namespace graph |
| { |
| /** Convolution layer node */ |
| class ConvolutionLayer final : public INode |
| { |
| public: |
| /** Default Constructor |
| * |
| * @param[in] conv_width Convolution width |
| * @param[in] conv_height Convolution height |
| * @param[in] ofm Output feature map |
| * @param[in] weights Weights of the convolution layer |
| * @param[in] biases Bias of the convolution layer |
| * @param[in] conv_info Convolution information |
| * @param[in] num_groups (Optional) Number of groups, default = 1 |
| * @param[in] weights_info (Optional) Weights information |
| * @param[in] weights_quant_info (Optional) Weights quantization information |
| * @param[in] out_quant_info (Optional) Output quantization info |
| */ |
| template <typename AccessorTypeWeights, typename AccessorTypeBiases> |
| ConvolutionLayer(unsigned int conv_width, |
| unsigned int conv_height, |
| unsigned int ofm, |
| AccessorTypeWeights &&weights, |
| AccessorTypeBiases &&biases, |
| const PadStrideInfo conv_info, |
| unsigned int num_groups = 1, |
| const WeightsInfo weights_info = WeightsInfo(), |
| const QuantizationInfo weights_quant_info = QuantizationInfo(), |
| const QuantizationInfo out_quant_info = QuantizationInfo()) |
| : _conv_width(conv_width), |
| _conv_height(conv_height), |
| _ofm(ofm), |
| _weights(std::move(weights)), |
| _biases(std::move(biases)), |
| _conv_info(std::move(conv_info)), |
| _num_groups(num_groups), |
| _weights_info(std::move(weights_info)), |
| _weights_quant_info(std::move(weights_quant_info)), |
| _out_quant_info(std::move(out_quant_info)), |
| _is(nullptr), |
| _os(nullptr), |
| _ws(nullptr), |
| _bs(nullptr) |
| { |
| } |
| |
| // Inherited methods overriden: |
| std::unique_ptr<arm_compute::IFunction> instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output) override; |
| |
| private: |
| /** Instantiates a non-grouped convolution |
| * |
| * @param[in] input Input tensor |
| * @param[in] output Output tensor |
| * @param[in] conv_method_hint Hint that specifies which convolution layer method to use |
| * |
| * @return Convolution function |
| */ |
| std::unique_ptr<arm_compute::IFunction> instantiate_convolution(ITensor *input, ITensor *output, ConvolutionMethodHint conv_method_hint); |
| /** Instantiates a grouped convolution |
| * |
| * @param[in] input Input tensor |
| * @param[in] output Output tensor |
| * @param[in] conv_method_hint Hint that specifies which convolution layer method to use |
| * |
| * @return Grouped Convolution function |
| */ |
| std::unique_ptr<arm_compute::IFunction> instantiate_grouped_convolution(ITensor *input, ITensor *output, ConvolutionMethodHint conv_method_hint); |
| |
| private: |
| unsigned int _conv_width; /**< Convolution width */ |
| unsigned int _conv_height; /**< Convolution height */ |
| unsigned int _ofm; /**< Output feature maps */ |
| Tensor _weights; /**< Weights tensor */ |
| Tensor _biases; /**< Biases tensor */ |
| const PadStrideInfo _conv_info; /**< Convolution layer information */ |
| unsigned int _num_groups; /**< Number of groups */ |
| const WeightsInfo _weights_info; /**< Convolution layer weights information */ |
| const QuantizationInfo _weights_quant_info; /**< Output quantization information */ |
| const QuantizationInfo _out_quant_info; /**< Output quantization information */ |
| |
| std::unique_ptr<SubTensor[]> _is; /**< Input tensor sub-tensors used for grouped convolution */ |
| std::unique_ptr<SubTensor[]> _os; /**< Output tensor sub-tensors used for grouped convolution */ |
| std::unique_ptr<SubTensor[]> _ws; /**< Weights tensor sub-tensors used for grouped convolution */ |
| std::unique_ptr<SubTensor[]> _bs; /**< Biases tensor sub-tensors used for grouped convolution */ |
| }; |
| } // namespace graph |
| } // namespace arm_compute |
| #endif /* __ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_H__ */ |