1 // Generated file (from: resize_bilinear_relaxed.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type2(Type::INT32, {});
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
5 OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 1});
6 // Phase 1, operands
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto height = model->addOperand(&type2);
10 auto width = model->addOperand(&type2);
11 // Phase 2, operations
12 static int32_t height_init[] = {3};
13 model->setOperandValue(height, height_init, sizeof(int32_t) * 1);
14 static int32_t width_init[] = {3};
15 model->setOperandValue(width, width_init, sizeof(int32_t) * 1);
16 model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, height, width}, {op2});
17 // Phase 3, inputs and outputs
18 model->identifyInputsAndOutputs(
19 {op1},
20 {op2});
21 // Phase 4: set relaxed execution
22 model->relaxComputationFloat32toFloat16(true);
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