| // clang-format off |
| // Generated file (from: conv_quant8_2.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 6, 1}, 0.5f, 127); |
| OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 127); |
| OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0); |
| OperandType type3(Type::INT32, {}); |
| OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.0f, 127); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto op2 = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type2); |
| auto pad_valid = model->addOperand(&type3); |
| auto stride3 = model->addOperand(&type3); |
| auto stride1 = model->addOperand(&type3); |
| auto act_none = model->addOperand(&type3); |
| auto op4 = model->addOperand(&type4); |
| // Phase 2, operations |
| static uint8_t op2_init[] = {129, 131, 133, 135}; |
| model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 4); |
| static int32_t op3_init[] = {-4}; |
| model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1); |
| static int32_t pad_valid_init[] = {2}; |
| model->setOperandValue(pad_valid, pad_valid_init, sizeof(int32_t) * 1); |
| static int32_t stride3_init[] = {3}; |
| model->setOperandValue(stride3, stride3_init, sizeof(int32_t) * 1); |
| static int32_t stride1_init[] = {1}; |
| model->setOperandValue(stride1, stride1_init, sizeof(int32_t) * 1); |
| static int32_t act_none_init[] = {0}; |
| model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_valid, stride3, stride1, act_none}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |