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      1 // clang-format off
      2 // Generated file (from: split_quant8_3.mod.py). Do not edit
      3 void CreateModel(Model *model) {
      4   OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 2.0f, 3);
      5   OperandType type1(Type::INT32, {});
      6   OperandType type2(Type::TENSOR_QUANT8_ASYMM, {2, 1}, 2.0f, 3);
      7   // Phase 1, operands
      8   auto input0 = model->addOperand(&type0);
      9   auto axis = model->addOperand(&type1);
     10   auto num_splits = model->addOperand(&type1);
     11   auto output0 = model->addOperand(&type2);
     12   auto output1 = model->addOperand(&type2);
     13   auto output2 = model->addOperand(&type2);
     14   // Phase 2, operations
     15   static int32_t axis_init[] = {1};
     16   model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
     17   static int32_t num_splits_init[] = {3};
     18   model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
     19   model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
     20   // Phase 3, inputs and outputs
     21   model->identifyInputsAndOutputs(
     22     {input0},
     23     {output0, output1, output2});
     24   assert(model->isValid());
     25 }
     26 
     27 inline bool is_ignored(int i) {
     28   static std::set<int> ignore = {};
     29   return ignore.find(i) != ignore.end();
     30 }
     31 
     32 void CreateModel_dynamic_output_shape(Model *model) {
     33   OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 2.0f, 3);
     34   OperandType type1(Type::INT32, {});
     35   OperandType type3(Type::TENSOR_QUANT8_ASYMM, {0, 0}, 2.0f, 3);
     36   // Phase 1, operands
     37   auto input0 = model->addOperand(&type0);
     38   auto axis = model->addOperand(&type1);
     39   auto num_splits = model->addOperand(&type1);
     40   auto output0 = model->addOperand(&type3);
     41   auto output1 = model->addOperand(&type3);
     42   auto output2 = model->addOperand(&type3);
     43   // Phase 2, operations
     44   static int32_t axis_init[] = {1};
     45   model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
     46   static int32_t num_splits_init[] = {3};
     47   model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
     48   model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
     49   // Phase 3, inputs and outputs
     50   model->identifyInputsAndOutputs(
     51     {input0},
     52     {output0, output1, output2});
     53   assert(model->isValid());
     54 }
     55 
     56 inline bool is_ignored_dynamic_output_shape(int i) {
     57   static std::set<int> ignore = {};
     58   return ignore.find(i) != ignore.end();
     59 }
     60 
     61