1 // clang-format off 2 // Generated file (from: mul_relu.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[] = {1}; 13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 14 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); 15 // Phase 3, inputs and outputs 16 model->identifyInputsAndOutputs( 17 {op1, op2}, 18 {op3}); 19 assert(model->isValid()); 20 } 21 22 inline bool is_ignored(int i) { 23 static std::set<int> ignore = {}; 24 return ignore.find(i) != ignore.end(); 25 } 26 27 void CreateModel_dynamic_output_shape(Model *model) { 28 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 29 OperandType type1(Type::INT32, {}); 30 OperandType type2(Type::TENSOR_FLOAT32, {0, 0, 0, 0}); 31 // Phase 1, operands 32 auto op1 = model->addOperand(&type0); 33 auto op2 = model->addOperand(&type0); 34 auto act = model->addOperand(&type1); 35 auto op3 = model->addOperand(&type2); 36 // Phase 2, operations 37 static int32_t act_init[] = {1}; 38 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 39 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); 40 // Phase 3, inputs and outputs 41 model->identifyInputsAndOutputs( 42 {op1, op2}, 43 {op3}); 44 assert(model->isValid()); 45 } 46 47 inline bool is_ignored_dynamic_output_shape(int i) { 48 static std::set<int> ignore = {}; 49 return ignore.find(i) != ignore.end(); 50 } 51 52
