ReID-MGN
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RuntimeError: operation does not have an identity.
Hi when data set is changes Im getting below error. would you please help me to fix ths.
(base) mca@Rnd-Comp-05:~/Downloads/content/ReID-MGN-master$ python main.py --mode train --data_path /home/mca/Downloads/LTCC_ReID
epoch 1
/home/mca/anaconda3/lib/python3.7/site-packages/torch/optim/lr_scheduler.py:136: UserWarning: Detected call of lr_scheduler.step()
before optimizer.step()
. In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step()
before lr_scheduler.step()
. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/mca/Downloads/content/ReID-MGN-master/utils/TripletLoss.py:31: UserWarning: This overload of addmm_ is deprecated:
addmm_(Number beta, Number alpha, Tensor mat1, Tensor mat2)
Consider using one of the following signatures instead:
addmm_(Tensor mat1, Tensor mat2, *, Number beta, Number alpha) (Triggered internally at /pytorch/torch/csrc/utils/python_arg_parser.cpp:882.)
dist.addmm_(1, -2, inputs, inputs.t())
total loss:16.37 Triplet_Loss :2.75 CrossEntropy_Loss:6.81 Traceback (most recent call last):
File "main.py", line 155, in