class_docstr: Vanilla U-Net encoder
class_docstr_tok: ["Vanilla","U-Net","encoder"]
code: def encoder_layers(self):
      return [
          self.__getattr__(f"layer{layer}")
          for layer in range(self.num_layers)
      ]
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/encoders/unet.py
imports: from collections import OrderedDict
  from functools import partial
  from typing import Union
  from torch import nn
  from .common import EncoderModule, make_n_channel_input
  from ..unet import UnetBlock
label_desc: Use image node_id 2 for calling the UnetEncoder obj's underlying member method code with example usage: obj.encoder_layers() and returns: unknown