Specifying `destination` in ProcessingOutput silently fails - and does not write to the destination S3 bucket

[cfregly]

This works:

sklearn_processor.run(code='preprocess-scikit.py',
                                       outputs=[ProcessingOutput(output_name='train_data', 
                                                                   source='/opt/ml/processing/output/train'),

This silently fails and does not write to the output s3 location:

s3_output_train_data = 's3://{}/{}/train'.format(bucket, output_prefix)

sklearn_processor.run(code='preprocess-scikit.py',
                                       outputs=[ProcessingOutput(output_name='train_data',
                                                                      source='/opt/ml/processing/output/train',
                                                                      destination=s3_output_train_data),

(Spent lots of time debugging this ^^)

Any suggestions?

[cfregly]

Closed and moved this to the SageMaker Python SDK Repo: aws/sagemaker-python-sdk#1343