code: def __init__(
      self,
      inplanes,
      planes,
      kernel_size,
      stride,
      padding,
      bias=False,
      groups=1,
  ):
      super(ConvModule, self).__init__()
      self.conv = nn.Conv3d(
          inplanes,
          planes,
          kernel_size,
          stride,
          padding,
          bias=bias,
          groups=groups,
      )
      self.bn = nn.BatchNorm3d(planes)
      self.relu = nn.ReLU(inplace=True)
  
imports: import numpy
  import torch
  import torch.nn
  import torch.utils.checkpoint
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new ConvModule object from inherited base classes: nn with example: obj = ConvModule(inplanes, planes, kernel_size, stride, padding, bias, groups)