RuntimeError: operation does not have an identity.

[ssbilakeri]

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
main.train()
File "main.py", line 48, in train
loss = self.loss(outputs, labels)
File "/home/mca/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/mca/Downloads/content/ReID-MGN-master/loss.py", line 14, in forward
Triplet_Loss = [triplet_loss(output, labels) for output in outputs[1:4]]
File "/home/mca/Downloads/content/ReID-MGN-master/loss.py", line 14, in
Triplet_Loss = [triplet_loss(output, labels) for output in outputs[1:4]]
File "/home/mca/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/mca/Downloads/content/ReID-MGN-master/utils/TripletLoss.py", line 38, in forward
dist_an.append(dist[i][mask[i] == 0].min().unsqueeze(0))
RuntimeError: operation does not have an identity.

[Ranger-D]

I have solved the problem, just make a bigger dataset. But I don't know the threshold of size of dataset, and I don't know the reason.