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Gradient Checkpointing and Activation Recomputation

Backprop keeps every intermediate activation. At 70B parameters and 128K context that is 3 TB of activations per rank. Checkpointing trades FLOPs for memory: recompute instead of save. The question is which segments to drop, and the answer…

BuildPython (with numpy, optional torch) 1 h Paid plans
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