fix memory issue
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@ -179,7 +179,8 @@ class Trainer:
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else:
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self.val_freq = int(opt['train']['val_freq_megasamples'] * 1000000)
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self.next_eval_step = self.total_training_data_encountered + self.val_freq
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self.next_eval_step = self.total_training_data_encountered + self.val_freq
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del resume_state # For whatever reason, this relieves a memory burden on the first GPU for some training sessions.
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def do_step(self, train_data):
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if self._profile:
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