| // clang-format off |
| // Generated file (from: conv_float_2.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 4, 1}); |
| OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 1}); |
| OperandType type2(Type::TENSOR_FLOAT32, {1}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto op2 = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type2); |
| auto pad_same = model->addOperand(&type3); |
| auto stride = model->addOperand(&type3); |
| auto act_relu = model->addOperand(&type3); |
| auto op4 = model->addOperand(&type0); |
| // Phase 2, operations |
| static float op2_init[] = {1.0f, 4.0f, 7.0f, 2.0f, 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; |
| model->setOperandValue(op2, op2_init, sizeof(float) * 9); |
| static float op3_init[] = {-200.0f}; |
| model->setOperandValue(op3, op3_init, sizeof(float) * 1); |
| static int32_t pad_same_init[] = {1}; |
| model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); |
| static int32_t stride_init[] = {1}; |
| model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); |
| static int32_t act_relu_init[] = {1}; |
| model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, {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(); |
| } |
| |