Precision: [tensor(0.5521, device='cuda:0'), tensor(0.5384, device='cuda:0'), tensor(0.5384, device='cuda:0'), tensor(0.5390, device='cuda:0'), tensor(0.5375, device='cuda:0'), tensor(0.5447, device='cuda:0'), tensor(0.5438, device='cuda:0'), tensor(0.5281, device='cuda:0'), tensor(0.5367, device='cuda:0'), tensor(0.5636, device='cuda:0')]

Output distance: [tensor(18.9211, device='cuda:0'), tensor(18.9486, device='cuda:0'), tensor(18.9486, device='cuda:0'), tensor(18.9474, device='cuda:0'), tensor(18.9504, device='cuda:0'), tensor(18.9359, device='cuda:0'), tensor(18.9377, device='cuda:0'), tensor(18.9692, device='cuda:0'), tensor(18.9519, device='cuda:0'), tensor(18.8981, device='cuda:0')]

Prediction loss: [tensor(108.9810, device='cuda:0'), tensor(108.6983, device='cuda:0'), tensor(109.5229, device='cuda:0'), tensor(109.2689, device='cuda:0'), tensor(108.2381, device='cuda:0'), tensor(108.3988, device='cuda:0'), tensor(109.1472, device='cuda:0'), tensor(107.8894, device='cuda:0'), tensor(108.4778, device='cuda:0'), tensor(108.2962, device='cuda:0')]

Others: [{'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}, {'num_positive': tensor(6616, device='cuda:0'), 'num_positive_true': tensor(125872, device='cuda:0')}]

Compressed training loss: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

Training loss: 0

Prediction time: [datetime.timedelta(seconds=1, microseconds=778454), datetime.timedelta(seconds=1, microseconds=773477), datetime.timedelta(seconds=1, microseconds=749577), datetime.timedelta(seconds=1, microseconds=767503), datetime.timedelta(seconds=1, microseconds=798370), datetime.timedelta(seconds=1, microseconds=768499), datetime.timedelta(seconds=1, microseconds=764516), datetime.timedelta(seconds=1, microseconds=795385), datetime.timedelta(seconds=1, microseconds=787419), datetime.timedelta(seconds=1, microseconds=773477)]

Phi time: [datetime.timedelta(seconds=5, microseconds=99794), datetime.timedelta(seconds=5, microseconds=23161), datetime.timedelta(seconds=5, microseconds=69307), datetime.timedelta(seconds=5, microseconds=105000), datetime.timedelta(seconds=5, microseconds=57241), datetime.timedelta(seconds=5, microseconds=48851), datetime.timedelta(seconds=5, microseconds=97193), datetime.timedelta(seconds=5, microseconds=108239), datetime.timedelta(seconds=5, microseconds=117762), datetime.timedelta(seconds=5, microseconds=31689)]

