updates
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train.py
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train.py
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@ -371,6 +371,11 @@ def train():
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print('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600))
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dist.destroy_process_group() if torch.cuda.device_count() > 1 else None
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torch.cuda.empty_cache()
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# save to cloud
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# os.system(gsutil cp results.txt gs://...)
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# os.system(gsutil cp weights/best.pt gs://...)
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return results
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