kohillyang commented on issue #13447: Rewrite dataloader, improves responsiveness and reliability URL: https://github.com/apache/incubator-mxnet/pull/13447#issuecomment-445425411 Is it possible to implement another Dataloader with threadpool? According to my test, Dataloader with threadpool is faster than Dataloader with multiprocess(about 2~5x), especially when the dataset is small or most of codes are written with C++, for example, rotating the image is written by Opencv library. And it has less bugs, less requirements. Because some people are running there program with docker and maybe their shared memory is not enough. And Dataloader with threadpool start more quickly as its overhead is smaller. I am wonder if mxnet can give us a choise, using threadpool or multiprocess.pool.
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