tensorflow_script_mode_using_shell_commands.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/tensorflow_script_mode_using_shell_commands/tensorflow_script_mode_using_shell_commands.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [10]":
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
in
1 inputs = {'training': f'file://{data_dir}'}
2
----> 3 estimator.fit(inputs)

/usr/local/lib/python3.7/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:

/usr/local/lib/python3.7/site-packages/sagemaker/estimator.py in start_new(cls, estimator, inputs, experiment_confi

[...]

Exception: Failed to run docker,images,-q,763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:1.14-cpu-py3

Open sagemaker-python-sdk/tensorflow_script_mode_using_shell_commands/tensorflow_script_mode_using_shell_commands.ipynb and inspect cell In [10], where estimator.fit(inputs) fails. Reproduce the CI failure and investigate the reported Docker command; done means the notebook no longer fails CI.

Written by the indexing model from the issue text.