Precision: [tensor(0.9993, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9992, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9990, device='cuda:0')]

Output distance: [tensor(23232.3672, device='cuda:0'), tensor(23256.8379, device='cuda:0'), tensor(24288.2246, device='cuda:0'), tensor(23691.6055, device='cuda:0'), tensor(25864.2422, device='cuda:0'), tensor(24125.4121, device='cuda:0'), tensor(23285.4453, device='cuda:0'), tensor(23431.8398, device='cuda:0'), tensor(23376.1699, device='cuda:0'), tensor(25220.0469, device='cuda:0')]

Prediction loss: [tensor(23136.8340, device='cuda:0'), tensor(23801.6504, device='cuda:0'), tensor(24961.6738, device='cuda:0'), tensor(24365.0273, device='cuda:0'), tensor(28385.5332, device='cuda:0'), tensor(24100.3652, device='cuda:0'), tensor(22243.2070, device='cuda:0'), tensor(23152.9355, device='cuda:0'), tensor(22631.2793, device='cuda:0'), tensor(25697.3711, device='cuda:0')]

Others: [{'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(6000, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(8909872., device='cuda:0'), tensor(8848198., device='cuda:0'), tensor(9015031., device='cuda:0'), tensor(8974645., device='cuda:0'), tensor(9157232., device='cuda:0'), tensor(8899562., device='cuda:0'), tensor(8593983., device='cuda:0'), tensor(8833486., device='cuda:0'), tensor(8739248., device='cuda:0'), tensor(9051249., device='cuda:0')]

Training loss: 8842049.0

Prediction time: [datetime.timedelta(microseconds=35800), datetime.timedelta(microseconds=34849), datetime.timedelta(microseconds=37838), datetime.timedelta(microseconds=34852), datetime.timedelta(microseconds=34853), datetime.timedelta(microseconds=35846), datetime.timedelta(microseconds=37838), datetime.timedelta(microseconds=40826), datetime.timedelta(microseconds=34853), datetime.timedelta(microseconds=32863)]

Phi time: [datetime.timedelta(seconds=1, microseconds=273336), datetime.timedelta(microseconds=696784), datetime.timedelta(microseconds=697740), datetime.timedelta(microseconds=691099), datetime.timedelta(microseconds=698122), datetime.timedelta(microseconds=696267), datetime.timedelta(microseconds=695404), datetime.timedelta(microseconds=694653), datetime.timedelta(microseconds=694918), datetime.timedelta(microseconds=699168)]

