code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size,
      stride,
      padding,
      bias=False,
  ):
      super(BranchSeparables, self).__init__()
      self.relu = nn.ReLU()
      self.separable_1 = SeparableConv2d(
          in_channels,
          in_channels,
          kernel_size,
          stride,
          padding,
          bias=bias,
      )
      self.bn_sep_1 = nn.BatchNorm2d(
          in_channels, eps=0.001, momentum=0.1, affine=True
      )
      self.relu1 = nn.ReLU()
      self.separable_2 = SeparableConv2d(
          in_channels, out_channels, kernel_size, 1, padding, bias=bias
      )
      self.bn_sep_2 = nn.BatchNorm2d(
          out_channels, eps=0.001, momentum=0.1, affine=True
      )
  
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
label_desc: Use image node_id 1 to create a new BranchSeparables object from inherited base classes: nn with example: obj = BranchSeparables(in_channels, out_channels, kernel_size, stride, padding, bias)