kge_mxnet.ipynb failed CI

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

Error:

---------------------------------------------------------------------------
Exception encountered at "In [3]":
---------------------------------------------------------------------------
UnexpectedStatusException Traceback (most recent call last)
in
----> 1 estimator.fit()

/usr/local/lib/python3.7/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
670 self.jobs.append(self.latest_training_job)
671 if wait:
--> 672 self.latest_training_job.wait(logs=logs)
673
674 def _compilation_job_name(self):

/usr/local/lib/python3.7/site-packages/sagemaker/estimator.py in wait(self, logs)
1601 # If lo

[...]

Command "/usr/local/bin/python3.6 train.py --batch_size 1024 --batch_size_eval 16 --dataset FB15k --gamma 500.0 --hidden_dim 2000 --lr 0.1 --max_step 100000 --model DistMult --neg_adversarial_sampling True --neg_sample_size 256 --test True --valid True"

Start with the linked sagemaker-python-sdk/dgl_kge/kge_mxnet.ipynb notebook and inspect cell In [3], where estimator.fit() fails. Reproduce the failure and trace the reported training command; done means the notebook completes its training run successfully in CI.

Written by the indexing model from the issue text.