code: def __init__(self, d):
      super().__init__()
      self.d = d
  
imports: import random
  import pytest
  import torch
  import torch.nn
  from torch.utils.data import TensorDataset, DataLoader
  import nni
  from nni.mutable import frozen
  from nni.nas.hub.pytorch.nasbench201 import OPS_WITH_STRIDE
  from nni.nas.nn.pytorch import Repeat
  from nni.nas.oneshot.pytorch.supermodule.base import BaseSuperNetModule
  from nni.nas.oneshot.pytorch.supermodule.proxyless import ProxylessMixedLayer, ProxylessMixedInput, ProxylessMixedRepeat, _iter_tensors
  from pytorch_lightning import LightningModule, Trainer
label_desc: Use image node_id 1 to create a new MultiInputLayer object from inherited base classes: nn with example: obj = MultiInputLayer(d)