code: def conv3x3x3(in_planes, out_planes, stride=1, dilation=1):
      # 3x3x3 convolution with padding
      return nn.Conv3d(
          in_planes,
          out_planes,
          kernel_size=3,
          dilation=dilation,
          stride=stride,
          padding=dilation,
          bias=False,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.autograd import Variable
  import math
  from functools import partial
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3x3(in_planes, out_planes, stride, dilation) and returns: nn