1 // Generated file (from: l2_pool_float_large.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type1(Type::INT32, {});
4 OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 3});
5 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 3});
6 // Phase 1, operands
7 auto op1 = model->addOperand(&type0);
8 auto filter_width = model->addOperand(&type1);
9 auto filter_height = model->addOperand(&type1);
10 auto stride_width = model->addOperand(&type1);
11 auto stride_height = model->addOperand(&type1);
12 auto pad0 = model->addOperand(&type1);
13 auto act = model->addOperand(&type1);
14 auto op3 = model->addOperand(&type2);
15 // Phase 2, operations
16 static int32_t filter_width_init[] = {2};
17 model->setOperandValue(filter_width, filter_width_init, sizeof(int32_t) * 1);
18 static int32_t filter_height_init[] = {2};
19 model->setOperandValue(filter_height, filter_height_init, sizeof(int32_t) * 1);
20 static int32_t stride_width_init[] = {1};
21 model->setOperandValue(stride_width, stride_width_init, sizeof(int32_t) * 1);
22 static int32_t stride_height_init[] = {1};
23 model->setOperandValue(stride_height, stride_height_init, sizeof(int32_t) * 1);
24 static int32_t pad0_init[] = {0};
25 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
26 static int32_t act_init[] = {0};
27 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
28 model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, stride_width, stride_height, filter_width, filter_height, act}, {op3});
29 // Phase 3, inputs and outputs
30 model->identifyInputsAndOutputs(
31 {op1},
32 {op3});
33 assert(model->isValid());
34 }
35
is_ignored(int i)36 bool is_ignored(int i) {
37 static std::set<int> ignore = {};
38 return ignore.find(i) != ignore.end();
39 }
40