code: def __init__(self, inp, oup, kernel_size, stride):
      super(DepthConv, self).__init__()
      self.conv = nn.Sequential(
          nn.Conv2D(
              inp,
              oup,
              kernel_size,
              stride,
              kernel_size // 2,
              bias_attr=False,
              groups=inp,
          ),
          nn.BatchNorm2D(oup),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  from ppocr.modeling.backbones.det_mobilenet_v3 import make_divisible
label_desc: Use image node_id 1 to create a new DepthConv object from inherited base classes: nn with example: obj = DepthConv(inp, oup, kernel_size, stride)