| // clang-format off |
| // Generated file (from: l2_pool_float_large.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 3}); |
| OperandType type1(Type::INT32, {}); |
| OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 3}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto pad0 = model->addOperand(&type1); |
| auto stride_width = model->addOperand(&type1); |
| auto stride_height = model->addOperand(&type1); |
| auto filter_width = model->addOperand(&type1); |
| auto filter_height = model->addOperand(&type1); |
| auto act = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t pad0_init[] = {0}; |
| model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); |
| static int32_t stride_width_init[] = {1}; |
| model->setOperandValue(stride_width, stride_width_init, sizeof(int32_t) * 1); |
| static int32_t stride_height_init[] = {1}; |
| model->setOperandValue(stride_height, stride_height_init, sizeof(int32_t) * 1); |
| static int32_t filter_width_init[] = {2}; |
| model->setOperandValue(filter_width, filter_width_init, sizeof(int32_t) * 1); |
| static int32_t filter_height_init[] = {2}; |
| model->setOperandValue(filter_height, filter_height_init, sizeof(int32_t) * 1); |
| static int32_t act_init[] = {0}; |
| model->setOperandValue(act, act_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, stride_width, stride_height, filter_width, filter_height, act}, {op3}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op3}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |