1 // Generated file (from: concat_float_2_relaxed.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type2(Type::INT32, {});
4 OperandType type1(Type::TENSOR_FLOAT32, {40, 230});
5 OperandType type0(Type::TENSOR_FLOAT32, {52, 230});
6 OperandType type3(Type::TENSOR_FLOAT32, {92, 230});
7 // Phase 1, operands
8 auto input1 = model->addOperand(&type0);
9 auto input2 = model->addOperand(&type1);
10 auto axis0 = model->addOperand(&type2);
11 auto output = model->addOperand(&type3);
12 // Phase 2, operations
13 static int32_t axis0_init[] = {0};
14 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1);
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output});
16 // Phase 3, inputs and outputs
17 model->identifyInputsAndOutputs(
18 {input1, input2},
19 {output});
20 // Phase 4: set relaxed execution
21 model->relaxComputationFloat32toFloat16(true);
22 assert(model->isValid());
23 }
24
is_ignored(int i)25 bool is_ignored(int i) {
26 static std::set<int> ignore = {};
27 return ignore.find(i) != ignore.end();
28 }
29