1 // clang-format off 2 // Generated file (from: tanh_relaxed.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 5 // Phase 1, operands 6 auto op1 = model->addOperand(&type0); 7 auto op2 = model->addOperand(&type0); 8 // Phase 2, operations 9 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2}); 10 // Phase 3, inputs and outputs 11 model->identifyInputsAndOutputs( 12 {op1}, 13 {op2}); 14 // Phase 4: set relaxed execution 15 model->relaxComputationFloat32toFloat16(true); 16 assert(model->isValid()); 17 } 18 19 inline bool is_ignored(int i) { 20 static std::set<int> ignore = {}; 21 return ignore.find(i) != ignore.end(); 22 } 23 24 void CreateModel_dynamic_output_shape(Model *model) { 25 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 26 OperandType type1(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); 27 // Phase 1, operands 28 auto op1 = model->addOperand(&type0); 29 auto op2 = model->addOperand(&type1); 30 // Phase 2, operations 31 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2}); 32 // Phase 3, inputs and outputs 33 model->identifyInputsAndOutputs( 34 {op1}, 35 {op2}); 36 // Phase 4: set relaxed execution 37 model->relaxComputationFloat32toFloat16(true); 38 assert(model->isValid()); 39 } 40 41 inline bool is_ignored_dynamic_output_shape(int i) { 42 static std::set<int> ignore = {}; 43 return ignore.find(i) != ignore.end(); 44 } 45 46
