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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-06 16:47:07 -0500 |
|---|---|---|
| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-08-06 16:47:07 -0500 |
| commit | afd59da0d9b64966302adb67165559c70f5dc35b (patch) | |
| tree | 750f119a8f4ffbe252b07cb450dba0b8834e1b7a /sdil | |
| parent | fa19cd0020a9c356a9f849f93d857cce040c1bb7 (diff) | |
feat: report Rain bias-to-signal ratios
Diffstat (limited to 'sdil')
| -rw-r--r-- | sdil/rain_ep_adapter.py | 11 |
1 files changed, 9 insertions, 2 deletions
diff --git a/sdil/rain_ep_adapter.py b/sdil/rain_ep_adapter.py index 9c7ab8f..bcdc410 100644 --- a/sdil/rain_ep_adapter.py +++ b/sdil/rain_ep_adapter.py @@ -163,13 +163,20 @@ class RainGradientCorrector: value - target for value, target in zip(corrected, clean) ] total_elements = sum(value.numel() for value in bias) + clean_square = sum(float(value.square().sum()) for value in clean) bias_square = sum(float(value.square().sum()) for value in bias) residual_square = sum( float(value.square().sum()) for value in residual_bias) + clean_rms = (clean_square / total_elements) ** 0.5 + bias_rms = (bias_square / total_elements) ** 0.5 + residual_bias_rms = (residual_square / total_elements) ** 0.5 self.last_diagnostics = { "step": self.steps, - "bias_rms": (bias_square / total_elements) ** 0.5, - "residual_bias_rms": (residual_square / total_elements) ** 0.5, + "clean_rms": clean_rms, + "bias_rms": bias_rms, + "residual_bias_rms": residual_bias_rms, + "bias_to_clean_rms": bias_rms / max(clean_rms, 1e-30), + "residual_to_clean_rms": residual_bias_rms / max(clean_rms, 1e-30), "neutral_observations": ( 0 if self.debiaser is None else self.debiaser.neutral_observations ), |
