1// Generated file (from: depthwise_conv2d_float_2.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type4(Type::TENSOR_FLOAT32, {1, 2, 1, 4}); 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 4}); 6 OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 2, 2}); 7 OperandType type2(Type::TENSOR_FLOAT32, {4}); 8 // Phase 1, operands 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto pad_valid = model->addOperand(&type3); 13 auto act_none = model->addOperand(&type3); 14 auto stride = model->addOperand(&type3); 15 auto channelMultiplier = model->addOperand(&type3); 16 auto op4 = model->addOperand(&type4); 17 // Phase 2, operations 18 static float op2_init[] = {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f}; 19 model->setOperandValue(op2, op2_init, sizeof(float) * 16); 20 static float op3_init[] = {1.0f, 2.0f, 3.0f, 4.0f}; 21 model->setOperandValue(op3, op3_init, sizeof(float) * 4); 22 static int32_t pad_valid_init[] = {2}; 23 model->setOperandValue(pad_valid, pad_valid_init, sizeof(int32_t) * 1); 24 static int32_t act_none_init[] = {0}; 25 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); 26 static int32_t stride_init[] = {1}; 27 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); 28 static int32_t channelMultiplier_init[] = {2}; 29 model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1); 30 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4}); 31 // Phase 3, inputs and outputs 32 model->identifyInputsAndOutputs( 33 {op1}, 34 {op4}); 35 assert(model->isValid()); 36} 37 38bool is_ignored(int i) { 39 static std::set<int> ignore = {}; 40 return ignore.find(i) != ignore.end(); 41} 42