code: def forward(self, x: Tensor) -> Tensor:  # skipcq: PYL-W0221
      x = self.conv1(x)
      x = self.abn1(x)
      x = self.drop1(x)
  
      x = self.conv2(x)
      x = self.abn2(x)
      return x
  
imports: from __future__ import absolute_import
  from typing import List
  import torch
  from torch import nn, Tensor
  from torch.nn import functional
  from ..modules.activations import ABN
label_desc: Use image node_id 2 for calling the FPNBottleneckBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x