Summary
A new educational PyTorch repository has been released, demonstrating various distributed training parallelism techniques (DP, FSDP, TP, PP, FSDP+TP) implemented from scratch. It explicitly shows the forward/backward logic and collective operations, bypassing high-level abstractions to help users understand the underlying algorithms and communication patterns. This resource is valuable for developers and researchers seeking a deeper, low-level understanding of distributed training in PyTorch.
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