updates
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							|  | @ -366,8 +366,8 @@ def train(): | |||
|     # end training | ||||
|     if len(opt.name) and not opt.prebias: | ||||
|         os.rename('results.txt', 'results_%s.txt' % opt.name) | ||||
|         os.rename(wdir + 'best.pt', wdir + 'best_%s.pt' % opt.name) | ||||
|         os.rename(wdir + 'last.pt', wdir + 'last_%s.pt' % opt.name) | ||||
|         os.rename(wdir + 'best.pt', wdir + 'best_%s.pt' % opt.name) if os.path.exists(wdir + 'best.pt') else None | ||||
|     plot_results()  # save as results.png | ||||
|     print('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600)) | ||||
|     dist.destroy_process_group() if torch.cuda.device_count() > 1 else None | ||||
|  |  | |||
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