accelerate
https://github.com/huggingface/accelerate
Python
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
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- Issues
- [`data_loader`] Optionally also propagate set_epoch to batch sampler
- Use `numpy._core` instead of `numpy.core`
- Wrong epoch when resuming from checkpoint
- 🚀 Feature Request: Improve `stateful_dataloader` by passing `snapshot_every_n_steps`
- Fix : get_balanced_memory when using multi gpus with small models or quantized models with a large vocabulary
- deepspeed inference
- OOM error when training llama 7B model using Accelerate FSDP setting
- fsdp checkpoint saving leads to NCCL WARN Cuda failure 2 'out of memory'
- Code Logical Bug: Using Init Handler Kwargs for Grad Scaler In FP8 Training (accelerate/accelerator.py)
- [docs] add XPU to profiler documentation and fix minor bugs
- Docs
- Python not yet supported