Is it possible to convert tlt model to Uff using convert-to-uff

I am trying to convert tlt model to uff model for trt engine.
My command is

convert-to-uff numplate_frcnn_resnet34.epoch20.tlt -p config.py -O dense_class/Softmax -O dense_regress/BiasAdd -O proposal

I have two models. One is normal tlt model and another one is pruned and retrained model.
All models and config.py are attached.config.log (1.6 KB)
pruned_retrained.log (2.0 MB)

normal.log is normal.tlt and pruned_retrained.log is pruned_retraine.tlt.

The errors are as follows.

Errors when converting normal.tlt

UFF Version 0.6.5
=== Automatically deduced input nodes ===
[]
=========================================

Using output node dense_class/Softmax
Using output node dense_regress/BiasAdd
Using output node proposal
Converting to UFF graph
Traceback (most recent call last):
  File "/home/itc/venv/bin/convert-to-uff", line 8, in <module>
    sys.exit(main())
  File "/home/itc/venv/lib/python3.6/site-packages/uff/bin/convert_to_uff.py", line 92, in main
    debug_mode=args.debug
  File "/home/itc/venv/lib/python3.6/site-packages/uff/converters/tensorflow/conversion_helpers.py", line 229, in from_tensorflow_frozen_model
    return from_tensorflow(graphdef, output_nodes, preprocessor, **kwargs)
  File "/home/itc/venv/lib/python3.6/site-packages/uff/converters/tensorflow/conversion_helpers.py", line 178, in from_tensorflow
    debug_mode=debug_mode)
  File "/home/itc/venv/lib/python3.6/site-packages/uff/converters/tensorflow/converter.py", line 94, in convert_tf2uff_graph
    uff_graph, input_replacements, debug_mode=debug_mode)
  File "/home/itc/venv/lib/python3.6/site-packages/uff/converters/tensorflow/converter.py", line 72, in convert_tf2uff_node
    inp_node = tf_nodes[inp_name]
KeyError: 'rpn_out_class/Sigmoid'

Errors when converting pruned_retrained.tlt.
Traceback (most recent call last):
File “/home/itc/venv/bin/convert-to-uff”, line 8, in
sys.exit(main())
File “/home/itc/venv/lib/python3.6/site-packages/uff/bin/convert_to_uff.py”, line 92, in main
debug_mode=args.debug
File “/home/itc/venv/lib/python3.6/site-packages/uff/converters/tensorflow/conversion_helpers.py”, line 229, in from_tensorflow_frozen_model
return from_tensorflow(graphdef, output_nodes, preprocessor, **kwargs)
File “/home/itc/venv/lib/python3.6/site-packages/uff/converters/tensorflow/conversion_helpers.py”, line 106, in from_tensorflow
pre.preprocess(dynamic_graph)
File “/home/itc/TensorRT/TensorRT-7.0.0.11/samples/sampleUffFasterRCNN/config.py”, line 34, in preprocess
dynamic_graph.remove(‘input_2’)
File “/home/itc/venv/lib/python3.6/site-packages/uff/bin/…/…/graphsurgeon/DynamicGraph.py”, line 470, in remove
nodes = self._force_to_nodes(nodes)
File “/home/itc/venv/lib/python3.6/site-packages/uff/bin/…/…/graphsurgeon/DynamicGraph.py”, line 324, in _force_to_nodes
buf = self._force_to_names(buf)
File “/home/itc/venv/lib/python3.6/site-packages/uff/bin/…/…/graphsurgeon/DynamicGraph.py”, line 307, in _force_to_names
assert False, “The name %s does not exist” % el
AssertionError: The name input_2 does not exist

What could be wrong?

In tlt user guide, it does not mention “convert tlt model to uff model”.