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Diffstat (limited to 'src/armnnCaffeParser/CaffeParser.hpp')
-rw-r--r-- | src/armnnCaffeParser/CaffeParser.hpp | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/src/armnnCaffeParser/CaffeParser.hpp b/src/armnnCaffeParser/CaffeParser.hpp new file mode 100644 index 0000000000..0b31e187dd --- /dev/null +++ b/src/armnnCaffeParser/CaffeParser.hpp @@ -0,0 +1,142 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#pragma once +#include "armnnCaffeParser/ICaffeParser.hpp" + +#include "armnn/Types.hpp" +#include "armnn/NetworkFwd.hpp" +#include "armnn/Tensor.hpp" + +#include <memory> +#include <vector> +#include <unordered_map> + +namespace caffe +{ +class BlobShape; +class LayerParameter; +class NetParameter; +} + +namespace armnnCaffeParser +{ + +using BindingPointInfo = std::pair<armnn::LayerBindingId, armnn::TensorInfo>; + +class CaffeParser : public ICaffeParser +{ +public: + /// Create the network from a protobuf text file on disk + virtual armnn::INetworkPtr CreateNetworkFromTextFile( + const char* graphFile, + const std::map<std::string, armnn::TensorShape>& inputShapes, + const std::vector<std::string>& requestedOutputs) override; + + /// Create the network from a protobuf binary file on disk + virtual armnn::INetworkPtr CreateNetworkFromBinaryFile( + const char* graphFile, + const std::map<std::string, armnn::TensorShape>& inputShapes, + const std::vector<std::string>& requestedOutputs) override; + + /// Create the network directly from protobuf text in a string. Useful for debugging/testing + virtual armnn::INetworkPtr CreateNetworkFromString( + const char* protoText, + const std::map<std::string, armnn::TensorShape>& inputShapes, + const std::vector<std::string>& requestedOutputs) override; + + /// Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name + virtual BindingPointInfo GetNetworkInputBindingInfo(const std::string& name) const override; + + /// Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name + virtual BindingPointInfo GetNetworkOutputBindingInfo(const std::string& name) const override; + +public: + CaffeParser(); + +private: + static std::pair<armnn::LayerBindingId, armnn::TensorInfo> GetBindingInfo(const std::string& layerName, + const char* bindingPointDesc, + const std::unordered_map<std::string, BindingPointInfo>& bindingInfos); + + /// Parses a NetParameter loaded into memory from one of the other CreateNetwork* + armnn::INetworkPtr CreateNetworkFromNetParameter( + caffe::NetParameter& netParam, + const std::map<std::string, armnn::TensorShape>& inputShapes, + const std::vector<std::string>& requestedOutputs); + + /// does the actual conversion from caffe::NetParameter to armnn::INetwork + void LoadNetParam(caffe::NetParameter& netParameter); + + /// Find the Caffe layers listed as inputs (bottoms) for a given layer. + std::vector<const caffe::LayerParameter*> GetInputs(const caffe::LayerParameter& layerParam); + + /// Modifies the Caffe network to replace "in-place" layers (whose top() and bottom() are both the same) + /// with regular layers. This simplifies further parsing. + void ResolveInPlaceLayers(caffe::NetParameter& netParameter); + + /// Converts Caffe's protobuf tensor shape format to ArmNN's + armnn::TensorInfo BlobShapeToTensorInfo(const caffe::BlobShape& blobShape) const; + + /// Adds an armnn layer to m_Network given a Caffe LayerParameter of the correct type + /// and is responsible for recording any newly created IOutputSlots using SetArmnnOutputSlotForCaffeTop(). + /// @{ + void ParseInputLayer(const caffe::LayerParameter& layerParam); + void ParseConvLayer(const caffe::LayerParameter& layerParam); + void ParsePoolingLayer(const caffe::LayerParameter& layerParam); + void ParseReluLayer(const caffe::LayerParameter& layerParam); + void ParseLRNLayer(const caffe::LayerParameter& layerParam); + void ParseInnerProductLayer(const caffe::LayerParameter& layerParam); + void ParseSoftmaxLayer(const caffe::LayerParameter& layerParam); + void ParseEltwiseLayer(const caffe::LayerParameter& layerParam); + void ParseConcatLayer(const caffe::LayerParameter& layerParam); + void ParseBatchNormLayer(const caffe::LayerParameter& layerParam); + void ParseScaleLayer(const caffe::LayerParameter& layerParam); + void ParseSplitLayer(const caffe::LayerParameter& layerParam); + void ParseDropoutLayer(const caffe::LayerParameter& layerParam); + /// @} + + void TrackInputBinding(armnn::IConnectableLayer* layer, + armnn::LayerBindingId id, + const armnn::TensorInfo& tensorInfo); + + void TrackOutputBinding(armnn::IConnectableLayer* layer, + armnn::LayerBindingId id, + const armnn::TensorInfo& tensorInfo); + + static void TrackBindingPoint(armnn::IConnectableLayer* layer, armnn::LayerBindingId id, + const armnn::TensorInfo& tensorInfo, + const char* bindingPointDesc, + std::unordered_map<std::string, BindingPointInfo>& nameToBindingInfo); + + /// Retrieves the Armnn IOutputSlot representing the given Caffe top. + /// Throws if it cannot be found (e.g. not parsed yet). + armnn::IOutputSlot& GetArmnnOutputSlotForCaffeTop(const std::string& caffeTopName) const; + + void SetArmnnOutputSlotForCaffeTop(const std::string& caffeTopName, armnn::IOutputSlot& armnnOutputSlot); + + void Cleanup(); + + armnn::INetworkPtr m_Network; + + std::map<std::string, const caffe::LayerParameter*> m_CaffeLayersByTopName; + + using OperationParsingFunction = void(CaffeParser::*)(const caffe::LayerParameter& layerParam); + + /// map of Caffe layer names to parsing member functions + static const std::map<std::string, OperationParsingFunction> ms_CaffeLayerNameToParsingFunctions; + + std::map<std::string, armnn::TensorShape> m_InputShapes; + std::vector<std::string> m_RequestedOutputs; + + /// As we add armnn layers we store the armnn IOutputSlot which corresponds to the Caffe tops. + std::unordered_map<std::string, armnn::IOutputSlot*> m_ArmnnOutputSlotForCaffeTop; + + /// maps input layer names to their corresponding ids and tensor infos + std::unordered_map<std::string, BindingPointInfo> m_NetworkInputsBindingInfo; + + /// maps output layer names to their corresponding ids and tensor infos + std::unordered_map<std::string, BindingPointInfo> m_NetworkOutputsBindingInfo; +}; +}
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