1// Generated file (from: lsh_projection_2.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type3(Type::INT32, {});
4  OperandType type2(Type::TENSOR_FLOAT32, {3});
5  OperandType type0(Type::TENSOR_FLOAT32, {4, 2});
6  OperandType type1(Type::TENSOR_INT32, {3, 2});
7  OperandType type4(Type::TENSOR_INT32, {4});
8  // Phase 1, operands
9  auto hash = model->addOperand(&type0);
10  auto lookup = model->addOperand(&type1);
11  auto weight = model->addOperand(&type2);
12  auto type_param = model->addOperand(&type3);
13  auto output = model->addOperand(&type4);
14  // Phase 2, operations
15  static float hash_init[] = {0.123f, 0.456f, -0.321f, -0.654f, 1.234f, 5.678f, -4.321f, -8.765f};
16  model->setOperandValue(hash, hash_init, sizeof(float) * 8);
17  static int32_t type_param_init[] = {1};
18  model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1);
19  model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
20  // Phase 3, inputs and outputs
21  model->identifyInputsAndOutputs(
22    {lookup, weight},
23    {output});
24  assert(model->isValid());
25}
26
27bool is_ignored(int i) {
28  static std::set<int> ignore = {};
29  return ignore.find(i) != ignore.end();
30}
31