| // clang-format off | |
| // Generated file (from: mean.mod.py). Do not edit | |
| void CreateModel(Model *model) { | |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); | |
| OperandType type1(Type::TENSOR_INT32, {1}); | |
| OperandType type2(Type::INT32, {}); | |
| OperandType type3(Type::TENSOR_FLOAT32, {1, 2, 1}); | |
| // Phase 1, operands | |
| auto input = model->addOperand(&type0); | |
| auto axis = model->addOperand(&type1); | |
| auto keepDims = model->addOperand(&type2); | |
| auto output = model->addOperand(&type3); | |
| // Phase 2, operations | |
| static int32_t axis_init[] = {2}; | |
| model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); | |
| static int32_t keepDims_init[] = {0}; | |
| model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1); | |
| model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {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(); | |
| } | |
| void CreateModel_dynamic_output_shape(Model *model) { | |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); | |
| OperandType type1(Type::TENSOR_INT32, {1}); | |
| OperandType type2(Type::INT32, {}); | |
| OperandType type4(Type::TENSOR_FLOAT32, {0, 0, 0}); | |
| // Phase 1, operands | |
| auto input = model->addOperand(&type0); | |
| auto axis = model->addOperand(&type1); | |
| auto keepDims = model->addOperand(&type2); | |
| auto output = model->addOperand(&type4); | |
| // Phase 2, operations | |
| static int32_t axis_init[] = {2}; | |
| model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); | |
| static int32_t keepDims_init[] = {0}; | |
| model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1); | |
| model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output}); | |
| // Phase 3, inputs and outputs | |
| model->identifyInputsAndOutputs( | |
| {input}, | |
| {output}); | |
| assert(model->isValid()); | |
| } | |
| inline bool is_ignored_dynamic_output_shape(int i) { | |
| static std::set<int> ignore = {}; | |
| return ignore.find(i) != ignore.end(); | |
| } | |