1 // clang-format off 2 // Generated file (from: reshape_relaxed.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 3, 3}); 5 OperandType type1(Type::TENSOR_INT32, {1}); 6 OperandType type2(Type::TENSOR_FLOAT32, {9}); 7 // Phase 1, operands 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto op3 = model->addOperand(&type2); 11 // Phase 2, operations 12 static int32_t op2_init[] = {-1}; 13 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 1); 14 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3}); 15 // Phase 3, inputs and outputs 16 model->identifyInputsAndOutputs( 17 {op1}, 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, 1, 3, 3}); 31 OperandType type1(Type::TENSOR_INT32, {1}); 32 OperandType type3(Type::TENSOR_FLOAT32, {0}); 33 // Phase 1, operands 34 auto op1 = model->addOperand(&type0); 35 auto op2 = model->addOperand(&type1); 36 auto op3 = model->addOperand(&type3); 37 // Phase 2, operations 38 static int32_t op2_init[] = {-1}; 39 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 1); 40 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3}); 41 // Phase 3, inputs and outputs 42 model->identifyInputsAndOutputs( 43 {op1}, 44 {op3}); 45 // Phase 4: set relaxed execution 46 model->relaxComputationFloat32toFloat16(true); 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
