class_docstr: LinkNet Decoder module
class_docstr_tok: ["LinkNet","Decoder","module"]
code: def call(self, x: List[tf.Tensor]) -> tf.Tensor:
      out = 0
      for decoder, fmap in zip(self.decoders, x[::-1]):
          out = decoder(out + fmap)
      return out
  
imports: from copy import deepcopy
  from typing import Any, Dict, List, Optional, Tuple
  import numpy
  import tensorflow
  from tensorflow import keras
  from tensorflow.keras import Model, Sequential, layers
  from doctr.file_utils import CLASS_NAME
  from doctr.models.classification import resnet18, resnet34, resnet50
  from doctr.models.utils import IntermediateLayerGetter, _bf16_to_float32, conv_sequence, load_pretrained_params
  from doctr.utils.repr import NestedObject
  from .base import LinkNetPostProcessor, _LinkNet
label_desc: Use image node_id 2 for calling the LinkNetFPN obj's underlying member method code with example usage: obj.call(x) and returns: out