1 // Generated file (from: space_to_batch.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
4 OperandType type3(Type::TENSOR_FLOAT32, {4, 1, 1, 2});
5 OperandType type2(Type::TENSOR_INT32, {2, 2});
6 OperandType type1(Type::TENSOR_INT32, {2});
7 // Phase 1, operands
8 auto input = model->addOperand(&type0);
9 auto block_size = model->addOperand(&type1);
10 auto paddings = model->addOperand(&type2);
11 auto output = model->addOperand(&type3);
12 // Phase 2, operations
13 static int32_t block_size_init[] = {2, 2};
14 model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
15 static int32_t paddings_init[] = {0, 0, 0, 0};
16 model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
18 // Phase 3, inputs and outputs
19 model->identifyInputsAndOutputs(
20 {input},
21 {output});
22 assert(model->isValid());
23 }
24
is_ignored(int i)25 bool is_ignored(int i) {
26 static std::set<int> ignore = {};
27 return ignore.find(i) != ignore.end();
28 }
29