/* * Copyright (c) 2018-2020 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_GRAPH_FULLY_CONNECTED_LAYER_NODE_H #define ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H #include "arm_compute/graph/INode.h" namespace arm_compute { namespace graph { /** Fully Connected Layer node */ class FullyConnectedLayerNode final : public INode { public: /** Constructor * * @param[in] num_outputs Number of neurons in the layer * @param[in] out_quant_info (Optional) Output quantization info * @param[in] fc_info (Optional) Additional information about the fully connected layer */ FullyConnectedLayerNode(unsigned int num_outputs, QuantizationInfo out_quant_info = QuantizationInfo(), FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo()); /** Sets fused activation * * @param[in] fused_activation Fused activation to set */ void set_fused_activation(ActivationLayerInfo fused_activation); /** Computes weights descriptor * * @warning Works for inputs with 1D batch space * * @param[in] input_descriptor Input descriptor * @param[in] num_outputs Number of output neurons * @param[in] fc_info (Optional) Additional information about the fully connected layer * @param[in] weights_quant_info (Optional) Weights quantization info * * @return Weights descriptor */ static TensorDescriptor compute_weights_descriptor(const TensorDescriptor &input_descriptor, unsigned int num_outputs, FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo(), const QuantizationInfo &weights_quant_info = QuantizationInfo()); /** Computes fully connected layer output descriptor * * @warning Works for inputs with 1D batch space * * @param[in] input_descriptor Input descriptor * @param[in] num_outputs Number of output neurons * @param[in] out_quant_info (Optional) Weights quantization info * * @return Output descriptor */ static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, unsigned int num_outputs, const QuantizationInfo &out_quant_info = QuantizationInfo()); /** Fully connected layer addition information * * @return Additional information about the fully connected layer */ FullyConnectedLayerInfo info() const; // Inherited overridden methods: NodeType type() const override; bool forward_descriptors() override; TensorDescriptor configure_output(size_t idx) const override; void accept(INodeVisitor &v) override; static constexpr NodeType node_type = NodeType::FullyConnectedLayer; private: unsigned int _num_outputs; QuantizationInfo _out_quant_info; FullyConnectedLayerInfo _info; }; } // namespace graph } // namespace arm_compute #endif /* ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H */