class_docstr: This class is for a convolutional layer.
class_docstr_tok: ["This","class","is","for","a","convolutional","layer","."]
code: def __init__(self, nIn, nOut, kSize, stride=1, group=1):
      super().__init__()
      padding = int((kSize - 1) / 2)
      self.conv = nn.Conv2D(
          nIn,
          nOut,
          (kSize, kSize),
          stride=stride,
          padding=(padding, padding),
          bias_attr=False,
          groups=group,
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new C object from inherited base classes: nn with example: obj = C(nIn, nOut, kSize, stride, group)