svoice/evaluate.py [69:75]:
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    pendings = []
    with ProcessPoolExecutor(args.num_workers) as pool:
        with torch.no_grad():
            iterator = LogProgress(logger, data_loader, name="Eval estimates")
            for i, data in enumerate(iterator):
                # Get batch data
                mixture, lengths, sources = [x.to(args.device) for x in data]
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svoice/evaluate_auto_select.py [103:109]:
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    pendings = []
    with ProcessPoolExecutor(args.num_workers) as pool:
        with torch.no_grad():
            iterator = LogProgress(logger, data_loader, name="Eval estimates")
            for i, data in enumerate(iterator):
                # Get batch data
                mixture, lengths, sources = [x.to(args.device) for x in data]
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