code: def test_transposed_conv_architecture(self):
      trainer_params = uw3_trainer_params()
      trainer_params.scenario.model.layers = [
          Conv2DLayerParams(filters=10),
          MaxPool2DLayerParams(),
          DilatedBlockLayerParams(filters=10),
          TransposedConv2DLayerParams(filters=10),
          Conv2DLayerParams(filters=10),
          BiLSTMLayerParams(hidden_nodes=10),
      ]
      with tempfile.TemporaryDirectory() as d:
          trainer_params.output_dir = d
          main(trainer_params)
  
imports: import tempfile
  import unittest
  from tensorflow.python.keras.backend import clear_session
  from tfaip.util.tfaipargparse import post_init
  from calamari_ocr.ocr.model.layers.bilstm import BiLSTMLayerParams
  from calamari_ocr.ocr.model.layers.concat import ConcatLayerParams
  from calamari_ocr.ocr.model.layers.conv2d import Conv2DLayerParams
  from calamari_ocr.ocr.model.layers.dilatedblock import DilatedBlockLayerParams
  from calamari_ocr.ocr.model.layers.layer import IntVec2D
  from calamari_ocr.ocr.model.layers.pool2d import MaxPool2DLayerParams
  from calamari_ocr.ocr.model.layers.transposedconv2d import TransposedConv2DLayerParams
  from calamari_ocr.ocr.model.params import default_layers
  from calamari_ocr.ocr.training.params import parse_network_param
  from calamari_ocr.scripts.train import main, parse_args
  from calamari_ocr.test.test_train_file import uw3_trainer_params
label_desc: Use image node_id 8 for calling the TestNetworkArchitectures obj's underlying member method code with example usage: obj.test_transposed_conv_architecture() without return types