Running ./modules/inverse_transforms_and_test_time_augmentations.ipynb
Checking PEP8 compliance...
Running notebook...
Before:
    "    max_epochs = 20\n",
After:
    "    max_epochs = 1\n",
Before:
    "    val_interval = 1\n",
After:
    "    val_interval = 1\n",
/opt/conda/lib/python3.8/site-packages/papermill/iorw.py:58: FutureWarning: pyarrow.HadoopFileSystem is deprecated as of 2.0.0, please use pyarrow.fs.HadoopFileSystem instead.
  from pyarrow import HadoopFileSystem

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Traceback (most recent call last):
  File "/opt/conda/bin/papermill", line 8, in <module>
    sys.exit(papermill())
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 1128, in __call__
    return self.main(*args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 1053, in main
    rv = self.invoke(ctx)
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 1395, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/conda/lib/python3.8/site-packages/click/core.py", line 754, in invoke
    return __callback(*args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/click/decorators.py", line 26, in new_func
    return f(get_current_context(), *args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/papermill/cli.py", line 250, in papermill
    execute_notebook(
  File "/opt/conda/lib/python3.8/site-packages/papermill/execute.py", line 122, in execute_notebook
    raise_for_execution_errors(nb, output_path)
  File "/opt/conda/lib/python3.8/site-packages/papermill/execute.py", line 234, in raise_for_execution_errors
    raise error
papermill.exceptions.PapermillExecutionError: 
---------------------------------------------------------------------------
Exception encountered at "In [18]":
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/transform.py in apply_transform(transform, data, map_items, unpack_items)
     81             return [_apply_transform(transform, item, unpack_items) for item in data]
---> 82         return _apply_transform(transform, data, unpack_items)
     83     except Exception as e:

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/transform.py in _apply_transform(transform, parameters, unpack_parameters)
     52 
---> 53     return transform(parameters)
     54 

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/croppad/dictionary.py in inverse(self, data)
    316         for key in self.key_iterator(d):
--> 317             transform = self.get_most_recent_transform(d, key)
    318             # Create inverse transform

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/inverse.py in get_most_recent_transform(self, data, key)
    136         transform = data[self.trace_key(key)][-1]
--> 137         self.check_transforms_match(transform)
    138         return transform

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/inverse.py in check_transforms_match(self, transform)
    129             return
--> 130         raise RuntimeError(f"Error inverting the most recently applied invertible transform {xform_name} {xform_id}.")
    131 

RuntimeError: Error inverting the most recently applied invertible transform EnsureTyped 140271422952784.

The above exception was the direct cause of the following exception:

RuntimeError                              Traceback (most recent call last)
/tmp/ipykernel_14115/3197073230.py in <module>
     12 for file in np.random.choice(val_files, size=5, replace=False):
     13 
---> 14     mode_tta, mean_tta, std_tta, vvc_tta = tt_aug(file, num_examples=10)
     15     unmodified_data = minimal_transforms(file)
     16 

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/data/test_time_augmentation.py in __call__(self, data, num_examples)
    193             # do model forward pass
    194             batch_data[self._pred_key] = self.inferrer_fn(batch_data[self.image_key].to(self.device))
--> 195             outs.extend([self.inverter(i)[self._pred_key] for i in decollate_batch(batch_data)])
    196 
    197         output: NdarrayOrTensor = stack(outs, 0)

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/data/test_time_augmentation.py in <listcomp>(.0)
    193             # do model forward pass
    194             batch_data[self._pred_key] = self.inferrer_fn(batch_data[self.image_key].to(self.device))
--> 195             outs.extend([self.inverter(i)[self._pred_key] for i in decollate_batch(batch_data)])
    196 
    197         output: NdarrayOrTensor = stack(outs, 0)

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/post/dictionary.py in __call__(self, data)
    652 
    653             with allow_missing_keys_mode(self.transform):  # type: ignore
--> 654                 inverted = self.transform.inverse(input_dict)
    655 
    656             # save the inverted data

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/compose.py in inverse(self, data)
    176         # loop backwards over transforms
    177         for t in reversed(invertible_transforms):
--> 178             data = apply_transform(t.inverse, data, self.map_items, self.unpack_items)
    179         return data
    180 

/home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/transforms/transform.py in apply_transform(transform, data, map_items, unpack_items)
    104             else:
    105                 _log_stats(data=data)
--> 106         raise RuntimeError(f"applying transform {transform}") from e
    107 
    108 

RuntimeError: applying transform <bound method DivisiblePadd.inverse of <monai.transforms.croppad.dictionary.DivisiblePadd object at 0x7f937c570550>>