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_attr=False,
      )
  
file_path: PaddleOCR/ppocr/modeling/backbones/rec_resnet_aster.py
imports: import paddle
  import paddle.nn
  import sys
  import math
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_planes, out_planes, stride) and returns: nn