1 // Generated file (from: concat_float_3.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type2(Type::INT32, {});
4 OperandType type1(Type::TENSOR_FLOAT32, {212, 30});
5 OperandType type0(Type::TENSOR_FLOAT32, {212, 60});
6 OperandType type3(Type::TENSOR_FLOAT32, {212, 90});
7 // Phase 1, operands
8 auto input1 = model->addOperand(&type0);
9 auto input2 = model->addOperand(&type1);
10 auto axis1 = model->addOperand(&type2);
11 auto output = model->addOperand(&type3);
12 // Phase 2, operations
13 static int32_t axis1_init[] = {1};
14 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
16 // Phase 3, inputs and outputs
17 model->identifyInputsAndOutputs(
18 {input1, input2},
19 {output});
20 assert(model->isValid());
21 }
22
is_ignored(int i)23 bool is_ignored(int i) {
24 static std::set<int> ignore = {};
25 return ignore.find(i) != ignore.end();
26 }
27