Something went wrong when evaluating the results on ImageNet

[hobbitlong]

Something went wrong when evaluating the results on ImageNet

[xuChenSJTU]

@ChongjianGE I have a similar error:

THCudaCheck FAIL file=/opt/conda/conda-bld/pytorch_1579022022457/work/aten/src/THC/THCGeneral.cpp line=141 error=60 : peer mapping resources exhausted
Traceback (most recent call last):
File "/DATA7_DB7/data/xchen/Multi-view-Clustering-master/CMC-master/LinearProbing.py", line 483, in
main()
File "/DATA7_DB7/data/xchen/Multi-view-Clustering-master/CMC-master/LinearProbing.py", line 432, in main
train_acc, train_acc5, train_loss = train(epoch, train_loader, model, classifier, criterion, optimizer, args)
File "/DATA7_DB7/data/xchen/Multi-view-Clustering-master/CMC-master/LinearProbing.py", line 277, in train
res = model(input, opt.layer)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/DATA7_DB7/data/xchen/Multi-view-Clustering-master/CMC-master/models/alexnet.py", line 45, in forward
return self.encoder(x, layer)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/parallel/data_parallel.py", line 148, in forward
inputs, kwargs = self.scatter(inputs, kwargs, self.device_ids)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/parallel/data_parallel.py", line 159, in scatter
return scatter_kwargs(inputs, kwargs, device_ids, dim=self.dim)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/parallel/scatter_gather.py", line 36, in scatter_kwargs
inputs = scatter(inputs, target_gpus, dim) if inputs else []
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/parallel/scatter_gather.py", line 28, in scatter
res = scatter_map(inputs)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/parallel/scatter_gather.py", line 15, in scatter_map
return list(zip(*map(scatter_map, obj)))
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/parallel/scatter_gather.py", line 13, in scatter_map
return Scatter.apply(target_gpus, None, dim, obj)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/nn/parallel/_functions.py", line 89, in forward
outputs = comm.scatter(input, target_gpus, chunk_sizes, ctx.dim, streams)
File "/DB/rhome/xchen/anaconda2/envs/Conda_python3_5/lib/python3.5/site-packages/torch/cuda/comm.py", line 147, in scatter
return tuple(torch._C._scatter(tensor, devices, chunk_sizes, dim, streams))
RuntimeError: cuda runtime error (60) : peer mapping resources exhausted at /opt/conda/conda-bld/pytorch_1579022022457/work/aten/src/THC/THCGeneral.cpp:141

Process finished with exit code 1

Have you solved it yet?