scripts/pipeline/interactive.py [45:64]:
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args.cuda = not args.no_cuda and torch.cuda.is_available()
if args.cuda:
    torch.cuda.set_device(args.gpu)
    logger.info('CUDA enabled (GPU %d)' % args.gpu)
else:
    logger.info('Running on CPU only.')

if args.candidate_file:
    logger.info('Loading candidates from %s' % args.candidate_file)
    candidates = set()
    with open(args.candidate_file) as f:
        for line in f:
            line = utils.normalize(line.strip()).lower()
            candidates.add(line)
    logger.info('Loaded %d candidates.' % len(candidates))
else:
    candidates = None

logger.info('Initializing pipeline...')
DrQA = pipeline.DrQA(
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scripts/pipeline/predict.py [66:85]:
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args.cuda = not args.no_cuda and torch.cuda.is_available()
if args.cuda:
    torch.cuda.set_device(args.gpu)
    logger.info('CUDA enabled (GPU %d)' % args.gpu)
else:
    logger.info('Running on CPU only.')

if args.candidate_file:
    logger.info('Loading candidates from %s' % args.candidate_file)
    candidates = set()
    with open(args.candidate_file) as f:
        for line in f:
            line = utils.normalize(line.strip()).lower()
            candidates.add(line)
    logger.info('Loaded %d candidates.' % len(candidates))
else:
    candidates = None

logger.info('Initializing pipeline...')
DrQA = pipeline.DrQA(
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