Hi  I am a pytorch newbie
I tried 3D deeplearning and I got first batch’s outputs and labels.
outputs :  torch.Size([32, 4])
labels :  torch.Size([32, 4])
outputs :  tensor([[ 0.6386,  0.8804,  0.0802, -0.6856],
[ 1.5065,  0.8598,  1.0433, -2.3924],
[ 0.0379,  3.3215, -0.5928,  0.2159],
[ 0.9913,  3.5304,  0.0685, -1.3560],
[-0.2051,  2.9849, -0.7657, -0.8725],
[ 1.3075,  1.9554, -0.1340, -1.2231],
[ 1.3540,  2.2120, -0.1225, -2.0182],
[ 0.9369, -0.4576, -0.5696, -0.6731],
[ 1.0587,  2.2184,  0.7369,  0.5067],
[ 0.1577,  1.1418, -0.5708, -1.6497],
[-0.3060,  1.7785, -0.5178, -2.0496],
[ 1.1665,  1.7909, -0.2612, -3.2435],
[ 3.6382,  2.4487, -2.4305, -6.0900],
[-0.3202,  1.3922, -0.3043, -2.9920],
[-0.3049,  2.3529, -0.5429, -1.2844],
[-0.2010,  2.0226, -0.9945, -0.9781],
[ 0.1318,  1.9036, -0.6613, -1.8101],
[ 0.3844,  1.9908, -0.1160, -1.3563],
[ 0.5801,  0.9606, -0.1840, -0.6442],
[ 1.3811,  1.4375,  0.9490, -1.5605],
[ 0.6690,  1.6736,  0.3756, -1.3233],
[-0.4796,  0.7052, -0.7644,  0.4543],
[ 0.0512,  0.9333,  1.0720, -0.9512],
[-0.2501,  1.5006, -0.5616, -1.1430],
[-0.8548,  3.5933, -0.1623, -2.5032],
[ 0.5080,  2.9712, -0.9497, -2.4739],
[ 0.6291,  1.5536,  0.4837, -2.5471],
[ 2.3567,  2.0164,  0.6488, -3.2746],
[ 1.1576,  1.3680, -0.0774, -1.6563],
[ 0.1288,  0.7665, -0.1139,  0.3316],
[ 0.3624,  2.1957,  0.8695, -0.9878],
[ 0.0497,  1.1887, -0.4944, -1.7466]], device=‘cuda:0’,
grad_fn=)
labels :  tensor([[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 1, 0, 0]], device=‘cuda:0’)
my loss func is CrossEntropyLoss()
I got error “multi-target not supported at C:/cb/pytorch_1000000000000/work/aten/src\THCUNN/generic/ClassNLLCriterion.cu:18”
Help me bros… thanks