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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Help out
- Issues
- Add HIP device abstraction, update Triton skip logic
- [REQUEST] ZeRO - introduce replicas to keep GBS from getting too large on hundres of gpus
- [BUG] Unexpected GPU memory consumption when using transformers PEFT in Zero3
- Confusing memory usage estimations
- [BUG] Error: Preparing DeepSpeed ZeRO stage 2 optimizer HIP error on AMD MI200 GPUs
- A possible solution to resolve the issue of deepspeed.initialize() hanging.
- [BUG] Error: Sizes of tensors must match except in dimension 1. Expected size 64 but got size 512 for tensor number 2 in the list.
- TEST: PR HIP-ifying and running the bias_activations kernel on AMD
- [BUG] Pipeline Parallel: Only few trainable parameters, Only GPU0 has parameters whose requires_grad is "True". Cause ValueError: optimizer got an empty parameter list when deepspeed.initialize
- [BUG]Loss decreases cyclically with epoch as the cycle
- Docs
- Python not yet supported