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[release/1.3] cherry-pick: finalize gradient & mHC composite metrics for internal medicine monitors (#4870)(#4871) #4879
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PaddlePaddle:release/1.3
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yuweivvv:cherry-pick/4870-4871
Aug 13, 2026
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -1017,6 +1017,24 @@ def on_step_begin(self, args, state, control, **kwargs): | |
| if collect is not None: | ||
| collect() | ||
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| def on_optimizer_begin(self, args, state, control, scaler=None, **kwargs): | ||
| if not self._setup_done: | ||
| return | ||
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| for monitor in self._monitor_dict.values(): | ||
| finalize = getattr(monitor, "finalize_scaled_grad_metrics", None) | ||
| if finalize is not None: | ||
| finalize(scaler) | ||
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| def on_substep_end(self, args, state, control, **kwargs): | ||
| if not self._setup_done: | ||
| return | ||
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| for monitor in self._monitor_dict.values(): | ||
| finalize = getattr(monitor, "finalize_composite_microbatch", None) | ||
|
Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. |
||
| if finalize is not None: | ||
| finalize() | ||
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| def on_step_end(self, args, state, control, **kwargs): | ||
| if not self._setup_done: | ||
| return | ||
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llm-internal-medicine子模块并未提供finalize_scaled_grad_metrics,因此这里的 capability 检测会静默跳过,h_res_logits梯度指标不会被还原为 unscaled 值。请同步包含该方法的子模块版本(或在本仓库提供实现),并补充精确依赖下启用 AMP monitor 的回归测试,确认回调实际命中。