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1 // clang-format off
2 // Generated file (from: l2_pool_float.mod.py). Do not edit
CreateModel(Model * model)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 
is_ignored(int i)27 inline bool is_ignored(int i) {
28   static std::set<int> ignore = {};
29   return ignore.find(i) != ignore.end();
30 }
31 
CreateModel_dynamic_output_shape(Model * model)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 
is_ignored_dynamic_output_shape(int i)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