| // Generated file (from: resize_bilinear_2.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type2(Type::INT32, {}); |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); |
| OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 2}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto op2 = model->addOperand(&type1); |
| auto height = model->addOperand(&type2); |
| auto width = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t height_init[] = {3}; |
| model->setOperandValue(height, height_init, sizeof(int32_t) * 1); |
| static int32_t width_init[] = {3}; |
| model->setOperandValue(width, width_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, height, width}, {op2}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op2}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |