Bairen Yi

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> This is really sad. TF without MPI on clusters will use the very slow Ethernet connections You could build TF 1.x with built-in MPI support. For TF 2.x, you...

Thanks for your contribution! The performance figure looks promising. It is interesting to see some additional improvement of the original BFC allocator design, as it already does proactive registration of...

Nit: why post here instead of https://github.com/pytorch/rfcs? Edit: never mind, found https://github.com/pytorch/rfcs/pull/44 :)

I am working on a "TFIndexedDataset" RFC for externally shuffling dataset whose limit is beyond memory size. Let me know your preferred use case and I will consider adding it...

> I am working on a "TFIndexedDataset" RFC for externally shuffling dataset whose limit is beyond memory size. Let me know your preferred use case and I will consider adding...