Mem v3 acts as a memory governor for PyTorch, dynamically adjusting batch size and gradient accumulation to prevent CUDA OOMs during training and fine-tuning
Read the original at www.reddit.com→I built MEM v3 to solve a frustrating problem in PyTorch: CUDA Out-of-Memory crashes during long training and fine-tuning runs. Instead of restarting when memory spikes or keeping batch sizes overly small just to be...
Original headline: "Prevent CUDA OOM in PyTorch with dynamic lane switching"
Coverage timeline
- Sep 27, 13:12 UTC r/LocalLLaMA lead source Prevent CUDA OOM in PyTorch with dynamic lane switching