surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // See LICENSE file in the project root for full license information. |
| 4 | // |
| 5 | #pragma once |
| 6 | |
| 7 | #include "armnnTfParser/ITfParser.hpp" |
| 8 | |
| 9 | #include "armnn/Types.hpp" |
| 10 | #include "armnn/Tensor.hpp" |
| 11 | #include "armnn/INetwork.hpp" |
| 12 | |
| 13 | #include <map> |
| 14 | #include <memory> |
| 15 | #include <unordered_map> |
| 16 | #include <vector> |
| 17 | |
| 18 | namespace armnn |
| 19 | { |
| 20 | class TensorInfo; |
| 21 | } |
| 22 | |
| 23 | namespace tensorflow |
| 24 | { |
| 25 | class GraphDef; |
| 26 | class NodeDef; |
| 27 | } |
| 28 | |
| 29 | namespace armnnTfParser |
| 30 | { |
| 31 | |
| 32 | using BindingPointInfo = std::pair<armnn::LayerBindingId, armnn::TensorInfo>; |
| 33 | |
| 34 | class ParsedTfOperation; |
| 35 | using ParsedTfOperationPtr = std::unique_ptr<ParsedTfOperation>; |
| 36 | |
| 37 | /// |
| 38 | /// WithOutputTensorIndex wraps a value and an index. The purpose of |
| 39 | /// this template is to signify that in Tensorflow the input name of |
| 40 | /// a layer has the convention of 'inputTensorName:#index' where the |
| 41 | /// #index can be omitted and it implicitly means the 0. output of |
| 42 | /// the referenced layer. By supporting this notation we can handle |
| 43 | /// layers with multiple outputs, such as Split. |
| 44 | /// |
| 45 | template <typename T> |
| 46 | struct WithOutputTensorIndex |
| 47 | { |
| 48 | T m_IndexedValue; |
| 49 | unsigned int m_Index; |
| 50 | |
| 51 | WithOutputTensorIndex(const T & value, unsigned int index) |
| 52 | : m_IndexedValue{value} |
| 53 | , m_Index{index} {} |
| 54 | |
| 55 | WithOutputTensorIndex(T && value, unsigned int index) |
| 56 | : m_IndexedValue{value} |
| 57 | , m_Index{index} {} |
| 58 | }; |
| 59 | |
| 60 | using OutputOfParsedTfOperation = WithOutputTensorIndex<ParsedTfOperation *>; |
| 61 | using OutputOfConstNodeDef = WithOutputTensorIndex<const tensorflow::NodeDef*>; |
| 62 | using OutputId = WithOutputTensorIndex<std::string>; |
| 63 | |
| 64 | class TfParser : public ITfParser |
| 65 | { |
| 66 | public: |
| 67 | /// Create the network from a protobuf text file on disk |
| 68 | virtual armnn::INetworkPtr CreateNetworkFromTextFile( |
| 69 | const char* graphFile, |
| 70 | const std::map<std::string, armnn::TensorShape>& inputShapes, |
| 71 | const std::vector<std::string>& requestedOutputs) override; |
| 72 | |
| 73 | /// Create the network from a protobuf binary file on disk |
| 74 | virtual armnn::INetworkPtr CreateNetworkFromBinaryFile( |
| 75 | const char* graphFile, |
| 76 | const std::map<std::string, armnn::TensorShape>& inputShapes, |
| 77 | const std::vector<std::string>& requestedOutputs) override; |
| 78 | |
| 79 | /// Create the network directly from protobuf text in a string. Useful for debugging/testing |
| 80 | virtual armnn::INetworkPtr CreateNetworkFromString( |
| 81 | const char* protoText, |
| 82 | const std::map<std::string, armnn::TensorShape>& inputShapes, |
| 83 | const std::vector<std::string>& requestedOutputs) override; |
| 84 | |
| 85 | /// Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name |
| 86 | virtual BindingPointInfo GetNetworkInputBindingInfo(const std::string& name) const override; |
| 87 | |
| 88 | /// Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name |
| 89 | virtual BindingPointInfo GetNetworkOutputBindingInfo(const std::string& name) const override; |
| 90 | |
| 91 | public: |
| 92 | TfParser(); |
| 93 | |
| 94 | private: |
| 95 | template <typename T> |
| 96 | friend class ParsedConstTfOperation; |
| 97 | friend class ParsedMatMulTfOperation; |
| 98 | |
| 99 | /// Parses a GraphDef loaded into memory from one of the other CreateNetwork* |
| 100 | armnn::INetworkPtr CreateNetworkFromGraphDef(const tensorflow::GraphDef& graphDef, |
| 101 | const std::map<std::string, armnn::TensorShape>& inputShapes, |
| 102 | const std::vector<std::string>& requestedOutputs); |
| 103 | |
| 104 | /// sets up variables and then performs BFS to parse all nodes |
| 105 | void LoadGraphDef(const tensorflow::GraphDef& graphDef); |
| 106 | |
| 107 | /// parses a given node, assuming nodes before it in graph have been done |
| 108 | void LoadNodeDef(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 109 | |
| 110 | /// Handling identity layers as the input for Conv2D layer |
| 111 | const tensorflow::NodeDef* ResolveIdentityNode(const tensorflow::NodeDef* nodeDef); |
| 112 | /// Finds the nodes connected as inputs of the given node in the graph. |
| 113 | std::vector<OutputOfConstNodeDef> GetTfInputNodes(const tensorflow::NodeDef& nodeDef) const; |
| 114 | /// Finds the IParsedTfOperations for the nodes connected as inputs of the given node in the graph, |
| 115 | /// and throws an exception if the number of inputs does not match the expected one. |
| 116 | /// This will automatically resolve any identity nodes. The result vector contains the parsed operation |
| 117 | /// together with the output tensor index to make the connection unambiguous. |
| 118 | std::vector<OutputOfParsedTfOperation> GetInputParsedTfOperationsChecked(const tensorflow::NodeDef& nodeDef, |
| 119 | std::size_t expectedNumInputs); |
| 120 | |
| 121 | ParsedTfOperationPtr ParseConst(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 122 | |
| 123 | /// Checks if there is a pre-parsed const tensor is available with the given name and Type |
| 124 | template<typename Type> |
| 125 | bool HasParsedConstTensor(const std::string & nodeName) const; |
| 126 | |
| 127 | ParsedTfOperationPtr ParseAdd(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 128 | ParsedTfOperationPtr ParseBiasAdd(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 129 | ParsedTfOperationPtr ParseConv2D(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 130 | ParsedTfOperationPtr ParseDepthwiseConv2D(const tensorflow::NodeDef& nodeDef,const tensorflow::GraphDef& graphDef); |
| 131 | ParsedTfOperationPtr ParseFusedBatchNorm(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 132 | ParsedTfOperationPtr ParseConcat(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 133 | ParsedTfOperationPtr ParseIdentity(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 134 | ParsedTfOperationPtr ParseLrn(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 135 | ParsedTfOperationPtr ParseMatMul(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 136 | ParsedTfOperationPtr ParseMul(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 137 | ParsedTfOperationPtr ParsePlaceholder(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 138 | ParsedTfOperationPtr ParseRelu(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 139 | ParsedTfOperationPtr ParseRelu6(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 140 | ParsedTfOperationPtr ParseReshape(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 141 | ParsedTfOperationPtr ParseResizeBilinear(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 142 | ParsedTfOperationPtr ParseShape(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 143 | ParsedTfOperationPtr ParseSqueeze(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 144 | ParsedTfOperationPtr ParseSigmoid(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 145 | ParsedTfOperationPtr ParseSoftmax(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 146 | ParsedTfOperationPtr ParseSoftplus(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 147 | ParsedTfOperationPtr ParseTanh(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 148 | ParsedTfOperationPtr ParseMaxPool(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 149 | ParsedTfOperationPtr ParseAvgPool(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef); |
| 150 | ParsedTfOperationPtr ParsePooling2d(const tensorflow::NodeDef& nodeDef, const tensorflow::GraphDef& graphDef, |
| 151 | armnn::PoolingAlgorithm pooltype); |
| 152 | ParsedTfOperationPtr AddActivationLayer(const tensorflow::NodeDef& nodeDef, armnn::ActivationDescriptor& desc); |
| 153 | ParsedTfOperationPtr AddAdditionLayer(const tensorflow::NodeDef& nodeDef, bool isBiasAdd = false); |
| 154 | armnn::IConnectableLayer* AddFullyConnectedLayer(const tensorflow::NodeDef& matMulNodeDef, |
| 155 | const tensorflow::NodeDef* addNodeDef, const char* armnnLayerName); |
| 156 | |
| 157 | static std::pair<armnn::LayerBindingId, armnn::TensorInfo> GetBindingInfo(const std::string& layerName, |
| 158 | const char* bindingPointDesc, |
| 159 | const std::unordered_map<std::string, BindingPointInfo>& nameToBindingInfo); |
| 160 | |
| 161 | void TrackInputBinding(armnn::IConnectableLayer* layer, |
| 162 | armnn::LayerBindingId id, |
| 163 | const armnn::TensorInfo& tensorInfo); |
| 164 | |
| 165 | void TrackOutputBinding(armnn::IConnectableLayer* layer, |
| 166 | armnn::LayerBindingId id, |
| 167 | const armnn::TensorInfo& tensorInfo); |
| 168 | |
| 169 | static void TrackBindingPoint(armnn::IConnectableLayer* layer, armnn::LayerBindingId id, |
| 170 | const armnn::TensorInfo& tensorInfo, |
| 171 | const char* bindingPointDesc, |
| 172 | std::unordered_map<std::string, BindingPointInfo>& nameToBindingInfo); |
| 173 | |
| 174 | void Cleanup(); |
| 175 | |
| 176 | /// The network we're building. Gets cleared after it is passed to the user |
| 177 | armnn::INetworkPtr m_Network; |
| 178 | |
| 179 | using OperationParsingFunction = ParsedTfOperationPtr(TfParser::*)(const tensorflow::NodeDef& nodeDef, |
| 180 | const tensorflow::GraphDef& graphDef); |
| 181 | |
| 182 | /// map of TensorFlow operation names to parsing member functions |
| 183 | static const std::map<std::string, OperationParsingFunction> ms_OperationNameToParsingFunctions; |
| 184 | |
| 185 | std::map<std::string, armnn::TensorShape> m_InputShapes; |
| 186 | std::vector<std::string> m_RequestedOutputs; |
| 187 | |
| 188 | /// map of nodes extracted from the GraphDef to speed up parsing |
| 189 | std::unordered_map<std::string, const tensorflow::NodeDef*> m_NodesByName; |
| 190 | |
| 191 | std::unordered_map<std::string, ParsedTfOperationPtr> m_ParsedTfOperations; |
| 192 | |
| 193 | /// maps input layer names to their corresponding ids and tensor infos |
| 194 | std::unordered_map<std::string, BindingPointInfo> m_NetworkInputsBindingInfo; |
| 195 | |
| 196 | /// maps output layer names to their corresponding ids and tensor infos |
| 197 | std::unordered_map<std::string, BindingPointInfo> m_NetworkOutputsBindingInfo; |
| 198 | }; |
| 199 | } |