1 // clang-format off 2 // Generated file (from: sub_relaxed.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 5 OperandType type1(Type::INT32, {}); 6 // Phase 1, operands 7 auto op1 = model->addOperand(&type0); 8 auto op2 = model->addOperand(&type0); 9 auto act = model->addOperand(&type1); 10 auto op3 = model->addOperand(&type0); 11 // Phase 2, operations 12 static int32_t act_init[] = {0}; 13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 14 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); 15 // Phase 3, inputs and outputs 16 model->identifyInputsAndOutputs( 17 {op1, op2}, 18 {op3}); 19 // Phase 4: set relaxed execution 20 model->relaxComputationFloat32toFloat16(true); 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_FLOAT32, {1, 2, 2, 1}); 31 OperandType type1(Type::INT32, {}); 32 OperandType type2(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); 33 // Phase 1, operands 34 auto op1 = model->addOperand(&type0); 35 auto op2 = model->addOperand(&type0); 36 auto act = model->addOperand(&type1); 37 auto op3 = model->addOperand(&type2); 38 // Phase 2, operations 39 static int32_t act_init[] = {0}; 40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 41 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); 42 // Phase 3, inputs and outputs 43 model->identifyInputsAndOutputs( 44 {op1, op2}, 45 {op3}); 46 // Phase 4: set relaxed execution 47 model->relaxComputationFloat32toFloat16(true); 48 assert(model->isValid()); 49 } 50 51 inline bool is_ignored_dynamic_output_shape(int i) { 52 static std::set<int> ignore = {}; 53 return ignore.find(i) != ignore.end(); 54 } 55 56
