1 // clang-format off 2 // Generated file (from: hashtable_lookup_float.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_INT32, {4}); 5 OperandType type1(Type::TENSOR_INT32, {3}); 6 OperandType type2(Type::TENSOR_FLOAT32, {3, 2}); 7 OperandType type3(Type::TENSOR_FLOAT32, {4, 2}); 8 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {4}, 1.0f, 0); 9 // Phase 1, operands 10 auto lookup = model->addOperand(&type0); 11 auto key = model->addOperand(&type1); 12 auto value = model->addOperand(&type2); 13 auto output = model->addOperand(&type3); 14 auto hits = model->addOperand(&type4); 15 // Phase 2, operations 16 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); 17 // Phase 3, inputs and outputs 18 model->identifyInputsAndOutputs( 19 {lookup, key, value}, 20 {output, hits}); 21 assert(model->isValid()); 22 } 23 24 inline bool is_ignored(int i) { 25 static std::set<int> ignore = {}; 26 return ignore.find(i) != ignore.end(); 27 } 28 29 void CreateModel_dynamic_output_shape(Model *model) { 30 OperandType type0(Type::TENSOR_INT32, {4}); 31 OperandType type1(Type::TENSOR_INT32, {3}); 32 OperandType type2(Type::TENSOR_FLOAT32, {3, 2}); 33 OperandType type5(Type::TENSOR_FLOAT32, {0, 0}); 34 OperandType type6(Type::TENSOR_QUANT8_ASYMM, {0}, 1.0f, 0); 35 // Phase 1, operands 36 auto lookup = model->addOperand(&type0); 37 auto key = model->addOperand(&type1); 38 auto value = model->addOperand(&type2); 39 auto output = model->addOperand(&type5); 40 auto hits = model->addOperand(&type6); 41 // Phase 2, operations 42 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); 43 // Phase 3, inputs and outputs 44 model->identifyInputsAndOutputs( 45 {lookup, key, value}, 46 {output, hits}); 47 assert(model->isValid()); 48 } 49 50 inline bool is_ignored_dynamic_output_shape(int i) { 51 static std::set<int> ignore = {}; 52 return ignore.find(i) != ignore.end(); 53 } 54 55
