The runtime encountered a problem

[NikeAdmin]

2021-04-14 15-36-20 mapping-challenge >>> creating metadata
1it [00:00, ?it/s]
2021-04-14 15-36-20 mapping-challenge >>> predicting
0%| | 0/1 [00:00<?, ?it/s]
2021-04-14 15-36-22 steps >>> step xy_inference adapting inputs
2021-04-14 15-36-22 steps >>> step xy_inference transforming...
2021-04-14 15-36-22 steps >>> step xy_inference adapting inputs
2021-04-14 15-36-22 steps >>> step xy_inference transforming...
2021-04-14 15-36-22 steps >>> step loader adapting inputs
2021-04-14 15-36-22 steps >>> step loader transforming...
2021-04-14 15-36-22 steps >>> step unet unpacking inputs

Traceback (most recent call last):
File "main.py", line 68, in
main()
File "E:\Anaconda\envs\mapping\lib\site-packages\click\core.py", line 829, in call
return self.main(*args, **kwargs)
File "E:\Anaconda\envs\mapping\lib\site-packages\click\core.py", line 782, in main
rv = self.invoke(ctx)
File "E:\Anaconda\envs\mapping\lib\site-packages\click\core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "E:\Anaconda\envs\mapping\lib\site-packages\click\core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "E:\Anaconda\envs\mapping\lib\site-packages\click\core.py", line 610, in invoke
return callback(*args, **kwargs)
File "main.py", line 52, in predict_on_dir
pipeline_manager.predict_on_dir(pipeline_name, dir_path, prediction_path, chunk_size)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\pipeline_manager.py", line 62, in predict_on_dir
predict_on_dir(pipeline_name, dir_path, prediction_path, chunk_size, self.logger, self.params)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\pipeline_manager.py", line 178, in predict_on_dir
prediction = generate_prediction(meta, pipeline, logger, CATEGORY_IDS, chunk_size, params.num_threads)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\pipeline_manager.py", line 188, in generate_prediction
return _generate_prediction_in_chunks(meta_data, pipeline, logger, category_ids, chunk_size, num_threads)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\pipeline_manager.py", line 223, in _generate_prediction_in_chunks
output = pipeline.transform(data)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\steps\base.py", line 160, in transform
step_inputs[input_step.name] = input_step.transform(data)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\steps\base.py", line 160, in transform
step_inputs[input_step.name] = input_step.transform(data)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\steps\base.py", line 160, in transform
step_inputs[input_step.name] = input_step.transform(data)
[Previous line repeated 4 more times]
File "F:\studing\cv\open-solution-mapping-challenge-master\src\steps\base.py", line 165, in transform
return self._cached_transform(step_inputs)
File "F:\studing\cv\open-solution-mapping-challenge-master\src\steps\base.py", line 176, in _cached_transform
raise ValueError('No transformer cached {}'.format(self.name))
ValueError: No transformer cached unet

[BeomyoungKim]

Did you solve it ? How can i get pertained transformer Unet..?