pytorch_smdataparallel_maskrcnn_demo.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/training/distributed_training/pytorch/data_parallel/maskrcnn/pytorch_smdataparallel_maskrcnn_demo.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [11]":
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ParamValidationError Traceback (most recent call last)
in
1 # Submit SageMaker training job
----> 2 estimator.fit(inputs=data_channels, job_name=job_name)

/opt/conda/lib/python3.6/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
667 self._prepare_for_training(job_name=job_name)
668
--> 669 self.latest_training_job = _TrainingJob.start_new(self, inputs, experiment_config)
670 self.jobs.append(self.latest_training_job)
671 if wait:

/opt/conda/lib/python3.6/site-packages/sagemaker/estimator.py in start_new(cls, estimator, inputs,

[...]

Invalid length for parameter InputDataConfig[0].DataSource.FileSystemDataSource.FileSystemId, value: 8, valid min length: 11

Open the linked pytorch_smdataparallel_maskrcnn_demo.ipynb and start with cell 11, where estimator.fit(inputs=data_channels, job_name=job_name) fails. Inspect the FileSystemId passed through data_channels and run the notebook's CI validation to reproduce the error. Done means the notebook no longer raises the reported FileSystemId length validation error.

Written by the indexing model from the issue text.