What is the difference between training without apex.amp and with opt level = O0?
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Description
What is the difference between training without apex.amp and with opt level = O0?
Apex documentation shows "O0: FP32 training / Your incoming model should be FP32 already, so this is likely a no-op." .
But I compared those on M2Det, and I found training with opt level=O0 was much faster.
Why is this happening?
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Research direction
No source files or tests are identified in the issue. Start by reproducing the M2Det comparison with training without apex.amp and with opt level O0, then inspect the Apex and PyTorch training paths involved; done means explaining the observed speed difference with supporting measurements.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100