我有一段用于训练模型的python代码。问题是运行后:
loaded_state = torch.load(model_path+seq_to_seq_test_model_fname)
要加载预训练模型,我得到:
Traceback (most recent call last):
File "img_to_text.py", line 480, in <module>
main()
File "img_to_text.py", line 475, in main
r = setup_test()
File "img_to_text.py", line 259, in setup_test
s2s_data = s2s.setup_test()
File "/media/ahrzb/datasets/notebooks/mzh/SemStyle/semstyle/code/seq2seq_pytorch.py", line 220, in setup_test
loaded_state= torch.load(model_path+seq_to_seq_test_model_fname)
File "/home/ahrzb/.pyenv/versions/2.7.15/envs/mzh2.7/lib/python2.7/site-packages/torch/serialization.py", line 358, in load
return _load(f, map_location, pickle_module)
File "/home/ahrzb/.pyenv/versions/2.7.15/envs/mzh2.7/lib/python2.7/site-packages/torch/serialization.py", line 542, in _load
result = unpickler.load()
File "/home/ahrzb/.pyenv/versions/2.7.15/envs/mzh2.7/lib/python2.7/site-packages/torch/serialization.py", line 508, in persistent_load
data_type(size), location)
File "/home/ahrzb/.pyenv/versions/2.7.15/envs/mzh2.7/lib/python2.7/site-packages/torch/serialization.py", line 372, in restore_location
return default_restore_location(storage, location)
File "/home/ahrzb/.pyenv/versions/2.7.15/envs/mzh2.7/lib/python2.7/site-packages/torch/serialization.py", line 104, in default_restore_location
result = fn(storage, location)
File "/home/ahrzb/.pyenv/versions/2.7.15/envs/mzh2.7/lib/python2.7/site-packages/torch/serialization.py", line 85, in _cuda_deserialize
device, torch.cuda.device_count()))
我想这是因为他们已经在两个GPU上训练了模型,我需要在一个GPU上加载它。我改了这句话:
loaded_state = torch.load(model_path+seq_to_seq_test_model_fname)
到
loaded_state = torch.load(model_path+seq_to_seq_test_model_fname, map_location={'cuda:1': 'cuda:0'} )
为了将cuda 1的数据映射到cuda 0,但它不起作用。
