1 // Generated file (from: concat_quant8_1.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type1(Type::INT32, {});
4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 0.5f, 0);
5 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {2, 6}, 0.5f, 0);
6 // Phase 1, operands
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type0);
9 auto axis1 = model->addOperand(&type1);
10 auto result = model->addOperand(&type2);
11 // Phase 2, operations
12 static int32_t axis1_init[] = {1};
13 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis1}, {result});
15 // Phase 3, inputs and outputs
16 model->identifyInputsAndOutputs(
17 {op1, op2},
18 {result});
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