pytorch_gcn_hypertune.ipynb failed CI

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

Error:

---------------------------------------------------------------------------
Exception encountered at "In [8]":
---------------------------------------------------------------------------
ResourceInUse Traceback (most recent call last)
in
----> 1 tuner.fit()

/opt/conda/lib/python3.6/site-packages/sagemaker/tuner.py in fit(self, inputs, job_name, include_cls_metadata, estimator_kwargs, wait, **kwargs)
442 """
443 if self.estimator is not None:
--> 444 self._fit_with_estimator(inputs, job_name, include_cls_metadata, **kwargs)
445 else:
446 self._fit_with_estimator_dict(inputs, job_name, include_cls_metadata, estimator_kwargs)

/opt/conda/lib/python3.6/sit

[...]

ResourceInUse: An error occurred (ResourceInUse) when calling the CreateHyperParameterTuningJob operation: A hyperparameter tuning job with the name, pytorch-training-210511-0008, already exists. Choose a different name.

Start with sagemaker-python-sdk/dgl_gcn/pytorch_gcn_hypertune.ipynb, especially cell In [8], and review how tuner.fit() names the hyperparameter tuning job. Rerun the notebook or its CI check to confirm the job name no longer collides with an existing job and that the example completes successfully.

Written by the indexing model from the issue text.