when i run the file train

[Yx1322441675]

Epoch 1 has 10408 labeled samples of 234 ids and 2528 unlabeled samples
Traceback (most recent call last):
File "examples/main.py", line 381, in
main()
File "examples/main.py", line 151, in main
main_worker(args)
File "examples/main.py", line 279, in main_worker
feat_nv2recon, f, f_recon, f_nv, f_nv2recon, pid, index, config, iterations)
File "/home/ly/yx/GCL/gcl/trainer.py", line 112, in gen_update
self.memory_loss_id = self.memory(F.normalize(f), F.normalize(f_nv), index)
File "/home/ly/anaconda3/envs/GCL/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/ly/yx/GCL/gcl/models/memory.py", line 66, in forward
negatives = torch.stack(negatives)
RuntimeError: stack expects each tensor to be equal size, but got [8192] at entry 0 and [7833] at entry 3

[xiaobenniao1]

Epoch 1 has 10408 labeled samples of 234 ids and 2528 unlabeled samples Traceback (most recent call last): File "examples/main.py", line 381, in main() File "examples/main.py", line 151, in main main_worker(args) File "examples/main.py", line 279, in main_worker feat_nv2recon, f, f_recon, f_nv, f_nv2recon, pid, index, config, iterations) File "/home/ly/yx/GCL/gcl/trainer.py", line 112, in gen_update self.memory_loss_id = self.memory(F.normalize(f), F.normalize(f_nv), index) File "/home/ly/anaconda3/envs/GCL/lib/python3.7/site-packages/torch/nn/modules/module.py", line 550, in call result = self.forward(*input, **kwargs) File "/home/ly/yx/GCL/gcl/models/memory.py", line 66, in forward negatives = torch.stack(negatives) RuntimeError: stack expects each tensor to be equal size, but got [8192] at entry 0 and [7833] at entry 3

me too