11 #include <schema_generated.h> 13 #include <unordered_map> 23 using ModelPtr = std::unique_ptr<tflite::ModelT>;
46 const std::string& name)
const;
51 const std::string& name)
const;
84 const std::vector<int32_t>& targetDimsIn);
99 using OperatorParsingFunction = void(
TfLiteParserImpl::*)(
size_t subgraphIndex,
size_t operatorIndex);
101 void ParseCustomOperator(
size_t subgraphIndex,
size_t operatorIndex);
102 void ParseUnsupportedOperator(
size_t subgraphIndex,
size_t operatorIndex);
104 void ParseAbs(
size_t subgraphIndex,
size_t operatorIndex);
106 void ParseAdd(
size_t subgraphIndex,
size_t operatorIndex);
108 void ParseArgMin(
size_t subgraphIndex,
size_t operatorIndex);
109 void ParseArgMax(
size_t subgraphIndex,
size_t operatorIndex);
110 void ParseAveragePool2D(
size_t subgraphIndex,
size_t operatorIndex);
111 void ParseBatchToSpaceND(
size_t subgraphIndex,
size_t operatorIndex);
112 void ParseCast(
size_t subgraphIndex,
size_t operatorIndex);
114 void ParseConcatenation(
size_t subgraphIndex,
size_t operatorIndex);
115 void ParseConv2D(
size_t subgraphIndex,
size_t operatorIndex);
116 void ParseDepthToSpace(
size_t subgraphIndex,
size_t operatorIndex);
117 void ParseDepthwiseConv2D(
size_t subgraphIndex,
size_t operatorIndex);
118 void ParseDequantize(
size_t subgraphIndex,
size_t operatorIndex);
119 void ParseDetectionPostProcess(
size_t subgraphIndex,
size_t operatorIndex);
120 void ParseDiv(
size_t subgraphIndex,
size_t operatorIndex);
121 void ParseElementwiseUnary(
size_t subgraphIndex,
size_t operatorIndex,
armnn::UnaryOperation unaryOperation);
122 void ParseElu(
size_t subgraphIndex,
size_t operatorIndex);
123 void ParseEqual(
size_t subgraphIndex,
size_t operatorIndex);
124 void ParseExp(
size_t subgraphIndex,
size_t operatorIndex);
125 void ParseExpandDims(
size_t subgraphIndex,
size_t operatorIndex);
126 void ParseFullyConnected(
size_t subgraphIndex,
size_t operatorIndex);
127 void ParseGather(
size_t subgraphIndex,
size_t operatorIndex);
128 void ParseGreater(
size_t subgraphIndex,
size_t operatorIndex);
129 void ParseGreaterOrEqual(
size_t subgraphIndex,
size_t operatorIndex);
130 void ParseHardSwish(
size_t subgraphIndex,
size_t operatorIndex);
131 void ParseLeakyRelu(
size_t subgraphIndex,
size_t operatorIndex);
132 void ParseLess(
size_t subgraphIndex,
size_t operatorIndex);
133 void ParseLessOrEqual(
size_t subgraphIndex,
size_t operatorIndex);
134 void ParseLogicalNot(
size_t subgraphIndex,
size_t operatorIndex);
135 void ParseLogistic(
size_t subgraphIndex,
size_t operatorIndex);
136 void ParseL2Normalization(
size_t subgraphIndex,
size_t operatorIndex);
137 void ParseMaxPool2D(
size_t subgraphIndex,
size_t operatorIndex);
138 void ParseMaximum(
size_t subgraphIndex,
size_t operatorIndex);
139 void ParseMean(
size_t subgraphIndex,
size_t operatorIndex);
140 void ParseMinimum(
size_t subgraphIndex,
size_t operatorIndex);
141 void ParseMul(
size_t subgraphIndex,
size_t operatorIndex);
142 void ParseNeg(
size_t subgraphIndex,
size_t operatorIndex);
143 void ParseNotEqual(
size_t subgraphIndex,
size_t operatorIndex);
144 void ParsePack(
size_t subgraphIndex,
size_t operatorIndex);
145 void ParsePad(
size_t subgraphIndex,
size_t operatorIndex);
147 void ParsePrelu(
size_t subgraphIndex,
size_t operatorIndex);
148 void ParseQuantize(
size_t subgraphIndex,
size_t operatorIndex);
150 void ParseReduceMax(
size_t subgraphIndex,
size_t operatorIndex);
151 void ParseReduceMin(
size_t subgraphIndex,
size_t operatorIndex);
152 void ParseRelu(
size_t subgraphIndex,
size_t operatorIndex);
153 void ParseRelu6(
size_t subgraphIndex,
size_t operatorIndex);
154 void ParseReshape(
size_t subgraphIndex,
size_t operatorIndex);
155 void ParseResize(
size_t subgraphIndex,
size_t operatorIndex,
armnn::ResizeMethod resizeMethod);
156 void ParseResizeBilinear(
size_t subgraphIndex,
size_t operatorIndex);
157 void ParseResizeNearestNeighbor(
size_t subgraphIndex,
size_t operatorIndex);
158 void ParseRsqrt(
size_t subgraphIndex,
size_t operatorIndex);
159 void ParseShape(
size_t subgraphIndex,
size_t operatorIndex);
160 void ParseSlice(
size_t subgraphIndex,
size_t operatorIndex);
161 void ParseSoftmax(
size_t subgraphIndex,
size_t operatorIndex);
162 void ParseSpaceToBatchND(
size_t subgraphIndex,
size_t operatorIndex);
163 void ParseSplit(
size_t subgraphIndex,
size_t operatorIndex);
164 void ParseSplitV(
size_t subgraphIndex,
size_t operatorIndex);
165 void ParseSqueeze(
size_t subgraphIndex,
size_t operatorIndex);
166 void ParseStridedSlice(
size_t subgraphIndex,
size_t operatorIndex);
167 void ParseSub(
size_t subgraphIndex,
size_t operatorIndex);
168 void ParseSum(
size_t subgraphIndex,
size_t operatorIndex);
169 void ParseTanH(
size_t subgraphIndex,
size_t operatorIndex);
170 void ParseTranspose(
size_t subgraphIndex,
size_t operatorIndex);
171 void ParseTransposeConv(
size_t subgraphIndex,
size_t operatorIndex);
172 void ParseUnpack(
size_t subgraphIndex,
size_t operatorIndex);
174 void RegisterProducerOfTensor(
size_t subgraphIndex,
size_t tensorIndex,
armnn::IOutputSlot* slot);
175 void RegisterConsumerOfTensor(
size_t subgraphIndex,
size_t tensorIndex,
armnn::IInputSlot* slot);
176 void RegisterInputSlots(
size_t subgraphIndex,
177 size_t operatorIndex,
179 const std::vector<unsigned int>& tensorIndexes,
180 unsigned int startingSlotIndex = 0);
181 void RegisterOutputSlots(
size_t subgraphIndex,
182 size_t operatorIndex,
184 const std::vector<unsigned int>& tensorIndexes);
186 void SetupInputLayers(
size_t subgraphIndex);
187 void SetupOutputLayers(
size_t subgraphIndex);
188 void SetupConstantLayers(
size_t subgraphIndex);
192 void AddBroadcastReshapeLayer(
size_t subgraphIndex,
193 size_t operatorIndex,
198 unsigned int outputSlot,
199 tflite::ActivationFunctionType activationType);
203 struct SupportedDataStorage
207 SupportedDataStorage(std::unique_ptr<
float[]>&& data);
208 SupportedDataStorage(std::unique_ptr<uint8_t[]>&& data);
209 SupportedDataStorage(std::unique_ptr<int8_t[]>&& data);
210 SupportedDataStorage(std::unique_ptr<int32_t[]>&& data);
214 std::unique_ptr<float[]> m_FloatData;
215 std::unique_ptr<uint8_t[]> m_Uint8Data;
216 std::unique_ptr<int8_t[]> m_Int8Data;
217 std::unique_ptr<int32_t[]> m_Int32Data;
223 std::pair<armnn::ConstTensor, SupportedDataStorage>
229 std::pair<armnn::ConstTensor, TfLiteParserImpl::SupportedDataStorage>
242 std::vector<OperatorParsingFunction> m_ParserFunctions;
243 std::unordered_map<std::string, OperatorParsingFunction> m_CustomParserFunctions;
251 std::vector<armnn::IInputSlot*> inputSlots;
253 TensorSlots() : outputSlot(nullptr) { }
255 typedef std::vector<TensorSlots> TensorConnections;
258 std::vector<TensorConnections> m_SubgraphConnections;
262 std::vector<std::vector<unsigned int>> m_OverridenOutputShapes;
std::unique_ptr< tflite::TensorT > TensorPtr
std::unique_ptr< tflite::ModelT > ModelPtr
static TensorIdRawPtrVector GetSubgraphOutputs(const ModelPtr &model, size_t subgraphIndex)
Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.
const tflite::TensorT * TensorRawPtr
const tflite::BufferT * BufferRawPtr
BindingPointInfo GetNetworkOutputBindingInfo(size_t subgraphId, const std::string &name) const
Retrieve binding info (layer id and tensor info) for the network output identified by the given layer...
std::vector< std::string > GetSubgraphOutputTensorNames(size_t subgraphId) const
Return the output tensor names for a given subgraph.
~TfLiteParserImpl()=default
std::unique_ptr< tflite::OperatorT > OperatorPtr
static armnn::TensorInfo OutputShapeOfReshape(const armnn::TensorInfo &inputTensorInfo, const std::vector< int32_t > &targetDimsIn)
TfLiteParserImpl(const armnn::Optional< ITfLiteParser::TfLiteParserOptions > &options=armnn::EmptyOptional())
std::unique_ptr< tflite::BufferT > BufferPtr
armnn::INetworkPtr CreateNetworkFromBinary(const std::vector< uint8_t > &binaryContent)
Create the network from a flatbuffers binary.
static BufferRawPtr GetBuffer(const ModelPtr &model, size_t bufferIndex)
armnn::INetworkPtr CreateNetworkFromBinaryFile(const char *graphFile)
Create the network from a flatbuffers binary file on disk.
std::unique_ptr< tflite::OperatorCodeT > OperatorCodePtr
BindingPointInfo GetNetworkInputBindingInfo(size_t subgraphId, const std::string &name) const
Retrieve binding info (layer id and tensor info) for the network input identified by the given layer ...
static ModelPtr LoadModelFromBinary(const uint8_t *binaryContent, size_t len)
std::vector< TensorIdRawPtr > TensorIdRawPtrVector
static std::vector< int32_t > & GetInputTensorIds(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)
An output connection slot for a layer.
static const std::string GetVersion()
Retrieve version in X.Y.Z form.
static ModelPtr LoadModelFromFile(const char *fileName)
A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.
std::vector< TensorRawPtr > TensorRawPtrVector
size_t GetSubgraphCount() const
Return the number of subgraphs in the parsed model.
armnn::INetworkPtr LoadModel(std::unique_ptr< tflite::ModelT > model)
std::pair< size_t, TensorRawPtr > TensorIdRawPtr
std::unique_ptr< tflite::SubGraphT > SubgraphPtr
static TensorIdRawPtrVector GetSubgraphInputs(const ModelPtr &model, size_t subgraphIndex)
static TensorRawPtrVector GetInputs(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)
static TensorRawPtrVector GetOutputs(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)
EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...
static std::vector< int32_t > & GetOutputTensorIds(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)
armnn::BindingPointInfo BindingPointInfo
std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr
armnn::INetworkPtr CreateNetworkFromBinaryAsDynamic(const std::vector< uint8_t > &binaryContent)
static armnn::TensorInfo OutputShapeOfSqueeze(std::vector< uint32_t > squeezeDims, const armnn::TensorInfo &inputTensorInfo)
std::vector< std::string > GetSubgraphInputTensorNames(size_t subgraphId) const
Return the input tensor names for a given subgraph.