| // Generated file (from: l2_pool_float.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type1(Type::INT32, {}); |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto cons1 = model->addOperand(&type1); |
| auto pad0 = model->addOperand(&type1); |
| auto act = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type0); |
| // Phase 2, operations |
| static int32_t cons1_init[] = {1}; |
| model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); |
| static int32_t pad0_init[] = {0}; |
| model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); |
| static int32_t act_init[] = {0}; |
| model->setOperandValue(act, act_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3}); |
| // Phase 3, inputs and outputs |
| model->setInputsAndOutputs( |
| {op1}, |
| {op3}); |
| assert(model->isValid()); |
| } |