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      1 // clang-format off
      2 // Generated file (from: l2_pool_float.mod.py). Do not edit
      3 void CreateModel(Model *model) {
      4   OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
      5   OperandType type1(Type::INT32, {});
      6   // Phase 1, operands
      7   auto op1 = model->addOperand(&type0);
      8   auto pad0 = model->addOperand(&type1);
      9   auto cons1 = model->addOperand(&type1);
     10   auto act = model->addOperand(&type1);
     11   auto op3 = model->addOperand(&type0);
     12   // Phase 2, operations
     13   static int32_t pad0_init[] = {0};
     14   model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
     15   static int32_t cons1_init[] = {1};
     16   model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
     17   static int32_t act_init[] = {0};
     18   model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
     19   model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
     20   // Phase 3, inputs and outputs
     21   model->identifyInputsAndOutputs(
     22     {op1},
     23     {op3});
     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_FLOAT32, {1, 2, 2, 1});
     34   OperandType type1(Type::INT32, {});
     35   OperandType type2(Type::TENSOR_FLOAT32, {0, 0, 0, 0});
     36   // Phase 1, operands
     37   auto op1 = model->addOperand(&type0);
     38   auto pad0 = model->addOperand(&type1);
     39   auto cons1 = model->addOperand(&type1);
     40   auto act = model->addOperand(&type1);
     41   auto op3 = model->addOperand(&type2);
     42   // Phase 2, operations
     43   static int32_t pad0_init[] = {0};
     44   model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
     45   static int32_t cons1_init[] = {1};
     46   model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
     47   static int32_t act_init[] = {0};
     48   model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
     49   model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
     50   // Phase 3, inputs and outputs
     51   model->identifyInputsAndOutputs(
     52     {op1},
     53     {op3});
     54   assert(model->isValid());
     55 }
     56 
     57 inline bool is_ignored_dynamic_output_shape(int i) {
     58   static std::set<int> ignore = {};
     59   return ignore.find(i) != ignore.end();
     60 }
     61 
     62