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