Precision: [tensor(0.7433, device='cuda:0'), tensor(0.7043, device='cuda:0'), tensor(0.7152, device='cuda:0'), tensor(0.7072, device='cuda:0'), tensor(0.7262, device='cuda:0'), tensor(0.7059, device='cuda:0'), tensor(0.7279, device='cuda:0'), tensor(0.7197, device='cuda:0'), tensor(0.7246, device='cuda:0'), tensor(0.7196, device='cuda:0')]

Output distance: [tensor(5519.0498, device='cuda:0'), tensor(6091.2627, device='cuda:0'), tensor(6053.6357, device='cuda:0'), tensor(6059.7939, device='cuda:0'), tensor(5966.9868, device='cuda:0'), tensor(6232.8613, device='cuda:0'), tensor(6187.5117, device='cuda:0'), tensor(5467.9717, device='cuda:0'), tensor(5556.3398, device='cuda:0'), tensor(5712.4751, device='cuda:0')]

Prediction loss: [tensor(5328.5269, device='cuda:0'), tensor(6356.7573, device='cuda:0'), tensor(6288.5024, device='cuda:0'), tensor(5847.7241, device='cuda:0'), tensor(6673.1328, device='cuda:0'), tensor(6346.8486, device='cuda:0'), tensor(6988.2871, device='cuda:0'), tensor(5219.7510, device='cuda:0'), tensor(6038.0093, device='cuda:0'), tensor(6384.4824, device='cuda:0')]

Others: [{'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(18000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(8810654., device='cuda:0'), tensor(8922278., device='cuda:0'), tensor(8727667., device='cuda:0'), tensor(8625481., device='cuda:0'), tensor(8982476., device='cuda:0'), tensor(8816467., device='cuda:0'), tensor(9273785., device='cuda:0'), tensor(8616201., device='cuda:0'), tensor(9016697., device='cuda:0'), tensor(8983491., device='cuda:0')]

Training loss: 8892646.0

Prediction time: [datetime.timedelta(microseconds=47797), datetime.timedelta(microseconds=45805), datetime.timedelta(microseconds=43814), datetime.timedelta(microseconds=45805), datetime.timedelta(microseconds=43811), datetime.timedelta(microseconds=42818), datetime.timedelta(microseconds=46802), datetime.timedelta(microseconds=52725), datetime.timedelta(microseconds=42794), datetime.timedelta(microseconds=44810)]

Phi time: [datetime.timedelta(seconds=1, microseconds=420057), datetime.timedelta(microseconds=803066), datetime.timedelta(microseconds=794369), datetime.timedelta(microseconds=801106), datetime.timedelta(microseconds=827671), datetime.timedelta(microseconds=800506), datetime.timedelta(microseconds=800599), datetime.timedelta(microseconds=809325), datetime.timedelta(microseconds=806870), datetime.timedelta(microseconds=804488)]

