inference-pipeline.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/contrib/inference_pipeline_custom_containers/inference-pipeline.ipynb

Error:

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Exception encountered at "In [12]":
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ClientError Traceback (most recent call last)
in
11 val_config = sagemaker.session.s3_input('s3://{0}/{1}/val/'.format(bucket, prefix), content_type='text/csv')
12
---> 13 custom_preprocessor.fit({'train': train_input})

/opt/conda/lib/python3.7/site-packages/sagemaker/estimator.py in fit(self, inpu

[...]

ClientError: An error occurred (ValidationException) when calling the CreateTrainingJob operation: Cannot find repository: custompipeline/preprocessor in registry ID: 521695447989 Please check if your ECR repository exists and role arn:aws:iam::521695447989:role/ProdBuildSystemStack-ReleaseBuildRoleFB326D49-QK8LUA2UI1IC has proper pull permissions for SageMaker: ecr:BatchCheckLayerAvailability, ecr:BatchGetImage, ecr:GetDownloadUrlForLayer

Open contrib/inference_pipeline_custom_containers/inference-pipeline.ipynb and inspect In [12], where custom_preprocessor.fit triggers SageMaker CreateTrainingJob. Reproduce the CI failure and determine whether the missing ECR repository or the reported SageMaker pull permissions is actionable; done means the notebook no longer fails at that step.

Written by the indexing model from the issue text.