code: def __init__(
      self,
      in_channels_left,
      out_channels_left,
      in_channels_right,
      out_channels_right,
  ):
      super(CellStem0, self).__init__()
      self.conv_1x1 = ReluConvBn(
          in_channels_right, out_channels_right, kernel_size=1
      )
      self.comb_iter_0_left = BranchSeparables(
          in_channels_left,
          out_channels_left,
          kernel_size=5,
          stride=2,
          stem_cell=True,
      )
      self.comb_iter_0_right = nn.Sequential(
          OrderedDict(
              [
                  ("max_pool", MaxPool(3, stride=2)),
                  (
                      "conv",
                      nn.Conv2d(
                          in_channels_left,
                          out_channels_left,
                          kernel_size=1,
                          bias=False,
                      ),
                  ),
                  ("bn", nn.BatchNorm2d(out_channels_left, eps=0.001)),
              ]
          )
      )
      self.comb_iter_1_left = BranchSeparables(
          out_channels_right,
          out_channels_right,
          kernel_size=7,
          stride=2,
      )
      self.comb_iter_1_right = MaxPool(3, stride=2)
      self.comb_iter_2_left = BranchSeparables(
          out_channels_right,
          out_channels_right,
          kernel_size=5,
          stride=2,
      )
      self.comb_iter_2_right = BranchSeparables(
          out_channels_right,
          out_channels_right,
          kernel_size=3,
          stride=2,
      )
      self.comb_iter_3_left = BranchSeparables(
          out_channels_right, out_channels_right, kernel_size=3
      )
      self.comb_iter_3_right = MaxPool(3, stride=2)
      self.comb_iter_4_left = BranchSeparables(
          in_channels_right,
          out_channels_right,
          kernel_size=3,
          stride=2,
          stem_cell=True,
      )
      self.comb_iter_4_right = ReluConvBn(
          out_channels_right,
          out_channels_right,
          kernel_size=1,
          stride=2,
      )
  
imports: from collections import OrderedDict
  import torch
  import torch.nn
  import torch.utils.model_zoo
label_desc: Use image node_id 1 to create a new CellStem0 object from inherited base classes: CellBase with example: obj = CellStem0(in_channels_left, out_channels_left, in_channels_right, out_channels_right)