1// Generated file (from: squeeze_float_1_relaxed.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type0(Type::TENSOR_FLOAT32, {1, 24, 1});
4  OperandType type2(Type::TENSOR_FLOAT32, {1, 24});
5  OperandType type1(Type::TENSOR_INT32, {1});
6  // Phase 1, operands
7  auto input = model->addOperand(&type0);
8  auto squeezeDims = model->addOperand(&type1);
9  auto output = model->addOperand(&type2);
10  // Phase 2, operations
11  static int32_t squeezeDims_init[] = {2};
12  model->setOperandValue(squeezeDims, squeezeDims_init, sizeof(int32_t) * 1);
13  model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output});
14  // Phase 3, inputs and outputs
15  model->identifyInputsAndOutputs(
16    {input},
17    {output});
18  // Phase 4: set relaxed execution
19  model->relaxComputationFloat32toFloat16(true);
20  assert(model->isValid());
21}
22
23bool is_ignored(int i) {
24  static std::set<int> ignore = {};
25  return ignore.find(i) != ignore.end();
26}
27