code: def forward(self, x: Tensor) -> Tensor:  # skipcq: PYL-W0221
      x = self.bottleneck(x)
  
      p2 = self.proj2(self.pool2(x))
      p4 = self.proj4(self.pool4(x))
      p8 = self.proj8(self.pool8(x))
      pg = self.proj_global(self.pool_global(x))
  
      out_size = p2.size()[2:]
  
      x = torch.cat(
          [
              p2,
              F.interpolate(p4, size=out_size, mode="nearest"),
              F.interpolate(p8, size=out_size, mode="nearest"),
              F.interpolate(pg, size=out_size, mode="nearest"),
          ],
          dim=1,
      )
  
      x = self.blend(x)
      x = self.conv1(x)
      x = self.abn1(x)
      x = self.dropout(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 FPNContextBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x