[training_utils] fix: Update metrics.py to change calculate_log_prob_diff to calculate_diff#6033
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victordion wants to merge 2 commits intoverl-project:mainfrom
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[training_utils] fix: Update metrics.py to change calculate_log_prob_diff to calculate_diff#6033victordion wants to merge 2 commits intoverl-project:mainfrom
victordion wants to merge 2 commits intoverl-project:mainfrom
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This pull request renames the calculate_log_prob_diff function to calculate_diff and updates its implementation and call site to operate on probabilities instead of log-probabilities. The review feedback recommends reverting these changes to use log-probabilities, as they provide more sensitive debugging metrics for LLMs, and suggests an optimized implementation to reduce memory overhead during the calculation.
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What does this PR do?
The function name
calculate_log_prob_diffis misleading as the tensor it processes is not log probs but probs.Checklist Before Starting
[{modules}] {type}: {description}(This will be checked by the CI){modules}includefsdp,megatron,veomni,sglang,vllm,rollout,trainer,ci,training_utils,recipe,hardware,deployment,ray,worker,single_controller,misc,perf,model,algo,env,tool,ckpt,doc,data,cfg,reward,fully_async,one_step_off,like[megatron, fsdp, doc]{type}is infeat,fix,refactor,chore,test[BREAKING]to the beginning of the title.[BREAKING][fsdp, megatron] feat: dynamic batchingTest
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API and Usage Example
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Design & Code Changes
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