class_docstr: Compute a sum of individual FPN layers
class_docstr_tok: ["Compute","a","sum","of","individual","FPN","layers"]
code: def __init__(self, mode="bilinear", align_corners=False):
      super().__init__()
      self.mode = mode
      self.align_corners = align_corners
  
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 1 to create a new FPNFuseSum object from inherited base classes: nn with example: obj = FPNFuseSum(mode, align_corners)