1224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen// Generated file (from: relu_quant8_1.mod.py). Do not edit
2ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sungvoid CreateModel(Model *model) {
345bf79e5b9fee354fde7c1f64417d9ca4a1da7daMiao Wang  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 128);
4ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  // Phase 1, operands
5ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  auto op1 = model->addOperand(&type0);
6ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  auto op2 = model->addOperand(&type0);
7ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  // Phase 2, operations
8ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
9ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  // Phase 3, inputs and outputs
1066d5cb6e3a90aefc8d545f6369080ab88de9d667Jean-Luc Brouillet  model->identifyInputsAndOutputs(
11ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung    {op1},
12ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung    {op2});
13ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  assert(model->isValid());
14ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung}
15ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung
16ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sungbool is_ignored(int i) {
17ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  static std::set<int> ignore = {};
18ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung  return ignore.find(i) != ignore.end();
19ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung}
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