deepspeed
https://github.com/microsoft/deepspeed
Python
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
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- Issues
- configuration setting problems for parameters partitioning in training
- Unpin tests that previously used a pinned version of transformers
- [BUG] Logits are always ZERO(0) at first pass when using ZERO++
- [BUG] Getting this error: NotImplementedError: Cannot copy out of meta tensor; no data!
- [BUG] `reduce_bucket_size` influences training convergence of Zero2
- [BUG] Trainer saves global_steps300 in LoRA training with deepspeed
- [BUG] Training with RoPE is broken: Can't stop FP32 layers from being cast to FP16/BF16 during training
- Multi node multi GPU sharding for inference / training Llama 405B
- [BUG] Excessive CPU and GPU Memory Usage with Multi-GPU Inference Using DeepSpeed
- [BUG] Expert parallel hangs at the last MoE layer
- Docs
- Python not yet supported