| // clang-format off |
| // Generated file (from: fully_connected_quant8_2.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_QUANT8_ASYMM, {4, 1, 5, 1}, 0.5f, 127); |
| OperandType type1(Type::TENSOR_QUANT8_ASYMM, {3, 10}, 0.5f, 127); |
| OperandType type2(Type::TENSOR_INT32, {3}, 0.25f, 0); |
| OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 1.0f, 127); |
| OperandType type4(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto op2 = model->addOperand(&type1); |
| auto b0 = model->addOperand(&type2); |
| auto act_relu = model->addOperand(&type4); |
| auto op3 = model->addOperand(&type3); |
| // Phase 2, operations |
| static uint8_t op2_init[] = {129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147}; |
| model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 30); |
| static int32_t b0_init[] = {4, 8, 12}; |
| model->setOperandValue(b0, b0_init, sizeof(int32_t) * 3); |
| static int32_t act_relu_init[] = {1}; |
| model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {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(); |
| } |
| |