1 // Generated file (from: max_pool_float_3.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type1(Type::INT32, {});
4 OperandType type2(Type::TENSOR_FLOAT32, {5, 2, 3, 3});
5 OperandType type0(Type::TENSOR_FLOAT32, {5, 50, 70, 3});
6 // Phase 1, operands
7 auto i0 = model->addOperand(&type0);
8 auto stride = model->addOperand(&type1);
9 auto filter = model->addOperand(&type1);
10 auto padding = model->addOperand(&type1);
11 auto relu6_activation = model->addOperand(&type1);
12 auto output = model->addOperand(&type2);
13 // Phase 2, operations
14 static int32_t stride_init[] = {20};
15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
16 static int32_t filter_init[] = {20};
17 model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1);
18 static int32_t padding_init[] = {0};
19 model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
20 static int32_t relu6_activation_init[] = {3};
21 model->setOperandValue(relu6_activation, relu6_activation_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu6_activation}, {output});
23 // Phase 3, inputs and outputs
24 model->identifyInputsAndOutputs(
25 {i0},
26 {output});
27 assert(model->isValid());
28 }
29
is_ignored(int i)30 bool is_ignored(int i) {
31 static std::set<int> ignore = {};
32 return ignore.find(i) != ignore.end();
33 }
34