SageMaker training with FSx: what is "directory_path"
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SageMaker can train on FSx data. One SageMaker SDK parameter for FSx training is directory_path. Where do we find that?
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FSx for Lustre is a file system that you can use to provide high performance for ML training workloads. The directory_path should point to the location on your file system where your dataset is stored.
In the example in the docs: directory_path='/fsx/tensorflow',
/fsx is the directory you define on your compute instances where you are mounting the file system /tensorflow would represent a folder within the fsx directory
If you are using an S3-linked FSx for Lustre file system /tensorflow would be a prefix within your S3-linked bucket.
