| // clang-format off |
| // Generated file (from: strided_slice_qaunt8_11.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 1.0f, 0); |
| OperandType type1(Type::TENSOR_INT32, {2}); |
| OperandType type2(Type::INT32, {}); |
| OperandType type3(Type::TENSOR_QUANT8_ASYMM, {3}, 1.0f, 0); |
| // Phase 1, operands |
| auto input = model->addOperand(&type0); |
| auto begins = model->addOperand(&type1); |
| auto ends = model->addOperand(&type1); |
| auto strides = model->addOperand(&type1); |
| auto beginMask = model->addOperand(&type2); |
| auto endMask = model->addOperand(&type2); |
| auto shrinkAxisMask = model->addOperand(&type2); |
| auto output = model->addOperand(&type3); |
| // Phase 2, operations |
| static int32_t begins_init[] = {0, 0}; |
| model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); |
| static int32_t ends_init[] = {1, 3}; |
| model->setOperandValue(ends, ends_init, sizeof(int32_t) * 2); |
| static int32_t strides_init[] = {1, 1}; |
| model->setOperandValue(strides, strides_init, sizeof(int32_t) * 2); |
| static int32_t beginMask_init[] = {0}; |
| model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1); |
| static int32_t endMask_init[] = {0}; |
| model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1); |
| static int32_t shrinkAxisMask_init[] = {1}; |
| model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {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(); |
| } |
| |