forked from mrq/DL-Art-School
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@ -62,9 +62,9 @@ class GaussianDiffusionInjector(Injector):
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def extra_metrics(self):
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def extra_metrics(self):
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uqt = self.latest_timesteps > self.num_timesteps * 3 / 4
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uqt = self.latest_timesteps > self.num_timesteps * 3 / 4
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uql = (self.latest_mse_by_batch * uqt).sum() / uqt.sum()
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uql = (self.latest_mse_by_batch * uqt).sum() / uqt.sum() if uqt.sum() != 0 else 0
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muqt = (self.latest_timesteps > self.num_timesteps / 2) * (self.latest_timesteps < self.num_timesteps * 3 / 4)
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muqt = (self.latest_timesteps > self.num_timesteps / 2) * (self.latest_timesteps < self.num_timesteps * 3 / 4)
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muql = (self.latest_mse_by_batch * muqt).sum() / muqt.sum()
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muql = (self.latest_mse_by_batch * muqt).sum() / muqt.sum() if muqt.sum() != 0 else 0
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d = {
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d = {
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'upper_quantile_mse_loss': uql,
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'upper_quantile_mse_loss': uql,
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'mid_upper_quantile_mse_loss': muql,
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'mid_upper_quantile_mse_loss': muql,
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