deepspeedai / deepspeedai/DeepSpeed
Reshape ZeroStage=0 FP16 Checkpoint
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Description
What is the best way for reshaping a checkpoint trained with zero stage = 0 & fp16?
I see two options:
a) Continue training with zero stage 1 for 1 step & adapt this PR to work with fp16
b) Adapt the script here to work without the need of zero ckpts; The difficult part will just be reshaping the optimizer states in the mp_rank files
Maybe @tjruwase could give me a quick hint if a) or b) makes more sense before I waste my time? Thanks!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by comparing the Zero Stage 1 approach in the linked DeepSpeed PR #1953 with the linked Megatron-DeepSpeed reshaping script. The issue does not identify repository files or tests, and it leaves the design choice between adapting either approach unresolved. Done would mean a supported way to reshape FP16 Zero Stage 0 checkpoints, including optimizer states in mp_rank files.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100