code: def conv3x3x3(
      in_planes,
      out_planes,
      spatial_stride=1,
      temporal_stride=1,
      dilation=1,
  ):
      "3x3x3 convolution with padding"
      return nn.Conv3d(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=(temporal_stride, spatial_stride, spatial_stride),
          padding=dilation,
          dilation=dilation,
          bias=False,
      )
  
imports: import numpy
  import torch
  import torch.nn
  import torch.utils.checkpoint
  import torch.nn.functional
label_desc: Use image node_id 3 for calling a global function with example usage: conv3x3x3(in_planes, out_planes, spatial_stride, temporal_stride, dilation) and returns: nn