| // Generated file (from: fully_connected_float_large.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type3(Type::INT32, {}); |
| OperandType type2(Type::TENSOR_FLOAT32, {1, 1}); |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 5}); |
| OperandType type1(Type::TENSOR_FLOAT32, {1}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto op2 = model->addOperand(&type0); |
| auto b0 = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type2); |
| auto act = model->addOperand(&type3); |
| // Phase 2, operations |
| static float op2_init[] = {2.0f, 3.0f, 4.0f, 5.0f, 6.0f}; |
| model->setOperandValue(op2, op2_init, sizeof(float) * 5); |
| static float b0_init[] = {900000.0f}; |
| model->setOperandValue(b0, b0_init, sizeof(float) * 1); |
| static int32_t act_init[] = {0}; |
| model->setOperandValue(act, act_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op3}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |