Precision: [tensor(0.9993, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9997, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9993, device='cuda:0'), tensor(0.9995, device='cuda:0'), tensor(0.9998, device='cuda:0'), tensor(0.9997, device='cuda:0')]

Output distance: [tensor(24219.6230, device='cuda:0'), tensor(23904.4746, device='cuda:0'), tensor(24135.5566, device='cuda:0'), tensor(24717.9375, device='cuda:0'), tensor(26349.8398, device='cuda:0'), tensor(25027.8906, device='cuda:0'), tensor(26389.6152, device='cuda:0'), tensor(23744.4023, device='cuda:0'), tensor(23894.5840, device='cuda:0'), tensor(23973.7090, device='cuda:0')]

Prediction loss: [tensor(25359.8711, device='cuda:0'), tensor(23089.5566, device='cuda:0'), tensor(22967.5215, device='cuda:0'), tensor(23417.0957, device='cuda:0'), tensor(27553.7578, device='cuda:0'), tensor(26719.0957, device='cuda:0'), tensor(21813.2012, device='cuda:0'), tensor(23462.8672, device='cuda:0'), tensor(21756.1406, device='cuda:0'), tensor(22201.3457, device='cuda:0')]

Others: [{'num_positive': tensor(5981, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5982, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5983, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5977, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5973, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5981, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5982, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5981, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5985, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}, {'num_positive': tensor(5982, device='cuda:0'), 'num_positive_true': tensor(18000, device='cuda:0')}]

Compressed training loss: [tensor(8892253., device='cuda:0'), tensor(8752930., device='cuda:0'), tensor(9029178., device='cuda:0'), tensor(8380659., device='cuda:0'), tensor(9376411., device='cuda:0'), tensor(9498458., device='cuda:0'), tensor(8322040.5000, device='cuda:0'), tensor(8864836., device='cuda:0'), tensor(8515404., device='cuda:0'), tensor(8596850., device='cuda:0')]

Training loss: 8853331.0

Prediction time: [datetime.timedelta(seconds=34, microseconds=762746), datetime.timedelta(seconds=35, microseconds=353770), datetime.timedelta(seconds=36, microseconds=63635), datetime.timedelta(seconds=36, microseconds=703817), datetime.timedelta(seconds=37, microseconds=930593), datetime.timedelta(seconds=37, microseconds=697167), datetime.timedelta(seconds=37, microseconds=432088), datetime.timedelta(seconds=37, microseconds=125476), datetime.timedelta(seconds=37, microseconds=111344), datetime.timedelta(seconds=36, microseconds=560190)]

Phi time: [datetime.timedelta(seconds=1, microseconds=108351), datetime.timedelta(microseconds=659906), datetime.timedelta(microseconds=651244), datetime.timedelta(microseconds=651167), datetime.timedelta(microseconds=648196), datetime.timedelta(microseconds=643505), datetime.timedelta(microseconds=647182), datetime.timedelta(microseconds=639574), datetime.timedelta(microseconds=633991), datetime.timedelta(microseconds=633738)]

