1 // Generated file (from: depth_to_space_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, 1, 1, 8}, 0.5f, 0);
5 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 0);
6 // Phase 1, operands
7 auto input = model->addOperand(&type0);
8 auto radius = model->addOperand(&type1);
9 auto output = model->addOperand(&type2);
10 // Phase 2, operations
11 static int32_t radius_init[] = {2};
12 model->setOperandValue(radius, radius_init, sizeof(int32_t) * 1);
13 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {input, radius}, {output});
14 // Phase 3, inputs and outputs
15 model->identifyInputsAndOutputs(
16 {input},
17 {output});
18 assert(model->isValid());
19 }
20
is_ignored(int i)21 bool is_ignored(int i) {
22 static std::set<int> ignore = {};
23 return ignore.find(i) != ignore.end();
24 }
25