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
- Can't access gradients if using ZERO
- removing per node repeated debug/info prints on distributed setup
- Why ZeRO-2 use more CUDA Memory than ZeRO-1?
- why use for all-reduce when `contiguous_gradients` is False?
- Unable to load checkpoint when number of parameter changes
- How to check the GPU memory occupancy of each part of Param, Grad and Optimizer State?
- AttributeError: 'DistributedDataParallel' object has no attribute 'global_steps'
- Pipeline parallelism got stuck after switching off `fp16`
- Error with negative slope arg in leaky_relu
- Support DeepSpeed checkpoints with DeepSpeed Inference
- Docs
- Python not yet supported