| // clang-format off |
| // Generated file (from: space_to_batch_float_2_relaxed.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 5, 2, 1}); |
| OperandType type1(Type::TENSOR_INT32, {2}); |
| OperandType type2(Type::TENSOR_INT32, {2, 2}); |
| OperandType type3(Type::TENSOR_FLOAT32, {6, 2, 2, 1}); |
| // Phase 1, operands |
| auto input = model->addOperand(&type0); |
| auto block_size = model->addOperand(&type1); |
| auto paddings = model->addOperand(&type2); |
| auto output = model->addOperand(&type3); |
| // Phase 2, operations |
| static int32_t block_size_init[] = {3, 2}; |
| model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); |
| static int32_t paddings_init[] = {1, 0, 2, 0}; |
| model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input}, |
| {output}); |
| // Phase 4: set relaxed execution |
| model->relaxComputationFloat32toFloat16(true); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |