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Update search_params.py
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search_params.py

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@@ -219,7 +219,7 @@ def retrain_best_model(exp_name, best_config, best_log_dir, merge_train_val):
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trainer = TorchTrainer(config=best_config, **data)
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trainer.train()
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else:
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#if not merging training and validation data, load the best result from tune experiment.
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# If not merging training and validation data, load the best result from tune experiments.
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logging.info(f'Loading best model with best config: \n{best_config}')
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trainer = TorchTrainer(config=best_config, **data)
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best_checkpoint = os.path.join(best_log_dir, 'best_model.ckpt')

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