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	global step
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		@ -58,7 +58,7 @@ class NLPAutoRegressionConfigs(TrainValidConfigs):
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        data, target = batch[0].to(self.device), batch[1].to(self.device)
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					        data, target = batch[0].to(self.device), batch[1].to(self.device)
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        if self.mode.is_train:
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					        if self.mode.is_train:
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            tracker.add_global_step(len(data))
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					            tracker.add_global_step(data.shape[0] * data.shape[1])
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        with self.mode.update(is_log_activations=batch_idx.is_last):
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					        with self.mode.update(is_log_activations=batch_idx.is_last):
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            output, *_ = self.model(data)
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					            output, *_ = self.model(data)
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