code: def conv5x5(in_planes, out_planes, stride=1, groups=1, dilation=1):
      """5x5 convolution with padding"""
      return nn.Conv2D(
          in_planes,
          out_planes,
          kernel_size=5,
          stride=stride,
          padding=2,
          groups=groups,
          bias_attr=False,
          dilation=dilation,
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
  from paddleseg import utils
  from paddleseg.cvlibs import manager, param_init
  from ppmatting.models.layers import GuidedCxtAtten
label_desc: Use image node_id 1 for calling a global function with example usage: conv5x5(in_planes, out_planes, stride, groups, dilation) and returns: nn