added log saving when early epoch stop
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@ -281,11 +281,11 @@ class Trainer(TrainerIO):
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self.__run_validation()
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# when batch should be saved
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if (batch_nb + 1) % self.log_save_interval == 0:
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if (batch_nb + 1) % self.log_save_interval == 0 or early_stop_epoch:
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self.experiment.save()
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# when metrics should be logged
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if batch_nb % self.add_log_row_interval == 0:
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if batch_nb % self.add_log_row_interval == 0 or early_stop_epoch:
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# count items in memory
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# nb_params, nb_tensors = count_mem_items()
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