1 // Generated file (from: add_broadcast_quant8.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type2(Type::INT32, {});
4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 2.0, 0);
5 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0, 0);
6 // Phase 1, operands
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto act = model->addOperand(&type2);
10 auto op3 = model->addOperand(&type1);
11 // Phase 2, operations
12 static int32_t act_init[] = {0};
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
14 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
15 // Phase 3, inputs and outputs
16 model->identifyInputsAndOutputs(
17 {op1, op2},
18 {op3});
19 assert(model->isValid());
20 }
21
is_ignored(int i)22 bool is_ignored(int i) {
23 static std::set<int> ignore = {};
24 return ignore.find(i) != ignore.end();
25 }
26