1// Generated file (from: strided_slice_float_11.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type2(Type::INT32, {});
4  OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
5  OperandType type3(Type::TENSOR_FLOAT32, {3});
6  OperandType type1(Type::TENSOR_INT32, {2});
7  // Phase 1, operands
8  auto input = model->addOperand(&type0);
9  auto begins = model->addOperand(&type1);
10  auto ends = model->addOperand(&type1);
11  auto strides = model->addOperand(&type1);
12  auto beginMask = model->addOperand(&type2);
13  auto endMask = model->addOperand(&type2);
14  auto shrinkAxisMask = model->addOperand(&type2);
15  auto output = model->addOperand(&type3);
16  // Phase 2, operations
17  static int32_t begins_init[] = {0, 0};
18  model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2);
19  static int32_t ends_init[] = {1, 3};
20  model->setOperandValue(ends, ends_init, sizeof(int32_t) * 2);
21  static int32_t strides_init[] = {1, 1};
22  model->setOperandValue(strides, strides_init, sizeof(int32_t) * 2);
23  static int32_t beginMask_init[] = {0};
24  model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1);
25  static int32_t endMask_init[] = {0};
26  model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1);
27  static int32_t shrinkAxisMask_init[] = {1};
28  model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1);
29  model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
30  // Phase 3, inputs and outputs
31  model->identifyInputsAndOutputs(
32    {input},
33    {output});
34  assert(model->isValid());
35}
36
37bool is_ignored(int i) {
38  static std::set<int> ignore = {};
39  return ignore.find(i) != ignore.end();
40}
41