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..?