| // clang-format off |
| // Generated file (from: avg_pool_quant8_4.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0); |
| OperandType type1(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto pad0 = model->addOperand(&type1); |
| auto cons1 = model->addOperand(&type1); |
| auto relu1_activitation = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type0); |
| // Phase 2, operations |
| static int32_t pad0_init[] = {0}; |
| model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); |
| static int32_t cons1_init[] = {1}; |
| model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); |
| static int32_t relu1_activitation_init[] = {2}; |
| model->setOperandValue(relu1_activitation, relu1_activitation_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, relu1_activitation}, {op3}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op3}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |