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
- [BUG] Guard check fails after deep-compiling a model that calls tensor.expand()
- [BUG] Zero 3 checkpoints not saving model state when load_universal=True
- Installation instructions for ROCm absent
- [BUG] AttributeError: 'Linear' object has no attribute 'ds_grads_remaining'
- if no expert found in parameter that have expert in name the loop should continue
- [BUG] ZeRO-3 with `zero_quantized_weights=true` incorrectly casts bf16 inputs to fp16, causing BERT training failure
- [REQUEST] New Integration - NeptuneMonitor
- [BUG] Deepspeed-Inference: support AutoTP for Llama-4 models
- Test hangs when world_size=4 and reuse_dist_env=True on PyTorch >= 2.7.0
- [HELP] Perform backpropagation separately for the two losses and extract the corresponding gradients.
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- Python not yet supported