code: def conv3x3(in_planes, out_planes, stride=1):
      "3x3 convolution with padding"
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=stride,
          padding=1,
          bias=False,
      )
  
file_path: insightface/parsing/dml_csr/networks/dml_csr.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import torch.nn
  from torch.nn import functional
  from inplace_abn import InPlaceABNSync
  from .modules.ddgcn import DDualGCNHead
  from .modules.parsing import Parsing
  from .modules.edges import Edges
  from .modules.util import Bottleneck
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_planes, out_planes, stride) and returns: nn