| // clang-format off |
| // Generated file (from: squeeze_float16.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT16, {4, 1, 1, 2}); |
| OperandType type1(Type::TENSOR_INT32, {2}); |
| OperandType type2(Type::TENSOR_FLOAT16, {4, 2}); |
| // Phase 1, operands |
| auto input = model->addOperand(&type0); |
| auto squeezeDims = model->addOperand(&type1); |
| auto output = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t squeezeDims_init[] = {1, 2}; |
| model->setOperandValue(squeezeDims, squeezeDims_init, sizeof(int32_t) * 2); |
| model->addOperation(ANEURALNETWORKS_SQUEEZE, {input, squeezeDims}, {output}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input}, |
| {output}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |