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ETL code for Spark training #6601

merged 11 commits into from Oct 17, 2018


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commented Oct 17, 2018

This adds: ETL code for spark training, mainly for the "many small files" use case (such as images).
In the image case, reading each image one at a time from HDFS is a potential bottleneck, and converting to DataSet isn't feasible due to the considerably greater space requirements.
Thus: we pre-batch the files (in their original format) using FileBatch and train directly from those batches. This keeps the original file size benefits of the raw images, whilst reducing the required number of disk reads by a factor of the minibatch size.

@AlexDBlack AlexDBlack merged commit fcf46d4 into master Oct 17, 2018

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@AlexDBlack AlexDBlack deleted the ab_spark_batching branch Oct 17, 2018

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