| // Generated file (from: transpose.mod.py). Do not edit | |
| void CreateModel(Model *model) { | |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); | |
| OperandType type1(Type::TENSOR_INT32, {4}); | |
| // Phase 1, operands | |
| auto input = model->addOperand(&type0); | |
| auto perms = model->addOperand(&type1); | |
| auto output = model->addOperand(&type0); | |
| // Phase 2, operations | |
| static int32_t perms_init[] = {0, 2, 1, 3}; | |
| model->setOperandValue(perms, perms_init, sizeof(int32_t) * 4); | |
| model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output}); | |
| // Phase 3, inputs and outputs | |
| model->identifyInputsAndOutputs( | |
| {input}, | |
| {output}); | |
| assert(model->isValid()); | |
| } | |
| bool is_ignored(int i) { | |
| static std::set<int> ignore = {}; | |
| return ignore.find(i) != ignore.end(); | |
| } |