| // clang-format off |
| // Generated file (from: max_pool_quant8_3.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_QUANT8_ASYMM, {5, 50, 70, 3}, 0.5f, 0); |
| OperandType type1(Type::INT32, {}); |
| OperandType type2(Type::TENSOR_QUANT8_ASYMM, {5, 2, 3, 3}, 0.5f, 0); |
| // Phase 1, operands |
| auto i0 = model->addOperand(&type0); |
| auto padding = model->addOperand(&type1); |
| auto stride = model->addOperand(&type1); |
| auto filter = model->addOperand(&type1); |
| auto relu1_activation = model->addOperand(&type1); |
| auto output = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t padding_init[] = {0}; |
| model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1); |
| static int32_t stride_init[] = {20}; |
| model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); |
| static int32_t filter_init[] = {20}; |
| model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1); |
| static int32_t relu1_activation_init[] = {2}; |
| model->setOperandValue(relu1_activation, relu1_activation_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, relu1_activation}, {output}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {i0}, |
| {output}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |