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For now, PaddleCloud uses HDFS as the backend storage, mount VFS on each Kubernetes node, but for some reason, we should use hadoop shell to fetch the training dataset from HDFS, I will write a design doc in this week.
The text was updated successfully, but these errors were encountered:
For now, PaddleCloud uses HDFS as the backend storage, mount VFS on each Kubernetes node, but for some reason, we should use hadoop shell to fetch the training dataset from HDFS, I will write a design doc in this week.
The text was updated successfully, but these errors were encountered: