1 // Generated file (from: avg_pool_quant8_1.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type1(Type::INT32, {});
4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0);
5 // Phase 1, operands
6 auto op1 = model->addOperand(&type0);
7 auto cons1 = model->addOperand(&type1);
8 auto pad0 = model->addOperand(&type1);
9 auto act = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type0);
11 // Phase 2, operations
12 static int32_t cons1_init[] = {1};
13 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
14 static int32_t pad0_init[] = {0};
15 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
16 static int32_t act_init[] = {0};
17 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
18 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
19 // Phase 3, inputs and outputs
20 model->identifyInputsAndOutputs(
21 {op1},
22 {op3});
23 assert(model->isValid());
24 }
25
is_ignored(int i)26 bool is_ignored(int i) {
27 static std::set<int> ignore = {};
28 return ignore.find(i) != ignore.end();
29 }
30