class_docstr: Residual convolution module.
class_docstr_tok: ["Residual","convolution","module","."]
docstr: Init.
  
  Args:
      features (int): number of features
docstr_tok: ["Init",".","Args",":","features","(","int",")",":","number","of","features"]
code: def __init__(self, features):
      """Init.
  
      Args:
          features (int): number of features
      """
      super().__init__()
  
      self.conv1 = nn.Conv2D(
          features, features, kernel_size=3, stride=1, padding=1
      )
  
      self.conv2 = nn.Conv2D(
          features, features, kernel_size=3, stride=1, padding=1
      )
  
      self.relu = nn.ReLU(inplace=True)
  
imports: import numpy
  import paddle
  import paddle.nn
label_desc: Use image node_id 1 to create a new ResidualConvUnit object from inherited base classes: nn with example: obj = ResidualConvUnit(features)