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open_lth reviews and mentions
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[D] Where do we currently stand at in lottery ticket hypothesis research?
Here https://github.com/facebookresearch/open_lth
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[P] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
The way I see it, what we're working on is really a completely new layer in the stack: speeding up the algorithm itself by changing the math. We've still taken great pains to make sure everything else in Composer runs as efficiently as it can, but - as long as you're running the same set of mathematical operations in the same order - there isn't much room to distinguish one trainer from another, and I'd guess that there isn't much of a raw speed difference between Composer and PTL in that sense. For that reason, we aren't very focused on inter-trainer speed comparisons - 10% or 20% here or there a rounding error on the 4x or more that you can expect in the long-run by changing the math. (I will say, though, that the engineers at MosaicML are really good at what they do, and Composer is performance tuned - it absolutely wipes the floor with the OpenLTH trainer I tried to write for my PhD, even without the algorithmic speedups.)
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facebookresearch/open_lth is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of open_lth is Python.
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