1 // Generated file (from: conv_float_2.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 1}); 5 OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 4, 1}); 6 OperandType type2(Type::TENSOR_FLOAT32, {1}); 7 // Phase 1, operands 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto op3 = model->addOperand(&type2); 11 auto pad_same = model->addOperand(&type3); 12 auto act_relu = model->addOperand(&type3); 13 auto stride = model->addOperand(&type3); 14 auto op4 = model->addOperand(&type0); 15 // Phase 2, operations 16 static float op2_init[] = {1.0f, 4.0f, 7.0f, 2.0f, 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; 17 model->setOperandValue(op2, op2_init, sizeof(float) * 9); 18 static float op3_init[] = {-200.0f}; 19 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 20 static int32_t pad_same_init[] = {1}; 21 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); 22 static int32_t act_relu_init[] = {1}; 23 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); 24 static int32_t stride_init[] = {1}; 25 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, {op4}); 27 // Phase 3, inputs and outputs 28 model->identifyInputsAndOutputs( 29 {op1}, 30 {op4}); 31 assert(model->isValid()); 32 } 33 34 bool is_ignored(int i) { 35 static std::set<int> ignore = {}; 36 return ignore.find(i) != ignore.end(); 37 } 38
