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Why Long bf16 Training Runs Stall: The Residual Stream Has No Room for Small Updates
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Why Long bf16 Training Runs Stall: The Residual Stream Has No Room for Small Updates

DEV Community: pytorch·AI OpenFree·5 days ago
#zleSNZin
#devtopytorch#devto#dev#residual#fp32

A bf16 residual near 600 has a resolution of 4, so small updates vanish. Measured gaps, a reproducible simulation and fixes for long training runs.

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Technical question about Mamba Selective Scan kernel and FP16/FP32 precision

Reddit r/learnmachinelearning·u/Dry-Trouble4373·6 months ago
#kGw7XvYx
#kernel#fp16#mamba#fp32#precision

I'm trying to evaluate the model's accuracy when all internal operations are strictly limited to **FP16**. However, I noticed that the `selective_scan` CUDA kernel seems to use **FP32 accumulators** by default.…

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