1// Generated file (from: resize_bilinear_2_relaxed.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type2(Type::INT32, {}); 4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 2}); 6 // Phase 1, operands 7 auto op1 = model->addOperand(&type0); 8 auto op2 = model->addOperand(&type1); 9 auto height = model->addOperand(&type2); 10 auto width = model->addOperand(&type2); 11 // Phase 2, operations 12 static int32_t height_init[] = {3}; 13 model->setOperandValue(height, height_init, sizeof(int32_t) * 1); 14 static int32_t width_init[] = {3}; 15 model->setOperandValue(width, width_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, height, width}, {op2}); 17 // Phase 3, inputs and outputs 18 model->identifyInputsAndOutputs( 19 {op1}, 20 {op2}); 21 // Phase 4: set relaxed execution 22 model->relaxComputationFloat32toFloat16(true); 23 assert(model->isValid()); 24} 25 26bool is_ignored(int i) { 27 static std::set<int> ignore = {}; 28 return ignore.find(i) != ignore.end(); 29} 30