code: def __init__(self, input_dim):
      super(Bottleneck, self).__init__()
      self.conv1 = nn.Conv2D(input_dim, input_dim, 1)
      self.bn1 = nn.BatchNorm2D(input_dim, use_global_stats=True)
      self.relu = nn.ReLU()
  
      self.conv2 = nn.Conv2D(input_dim, input_dim, 3, 1, 1)
      self.bn2 = nn.BatchNorm2D(input_dim, use_global_stats=True)
  
imports: import copy
  import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new Bottleneck object from inherited base classes: nn with example: obj = Bottleneck(input_dim)