我通过'venv'设置了一个虚拟环境，使用PyTorch和JupyterLab构建和训练一个神经网络。然而，当在我的计算机'PC 1'上工作时，一切都很好，但是在我的第二台计算机('PC 2')上运行具有相同Python设置的相同代码时，在训练时不断抛出错误('列表索引超出范围')。有什么可能导致这种行为的建议吗?我没主意了…
更具体地说:
- 在两台计算机上Python 3.7.9是通过Microsoft Store安装的。
- 要清楚:两台计算机访问相同的*。ipynb和相同的数据/数据集，通过云服务同步。
我试着:
- 我同步了创建的venv(通过云)，激活venv并运行*。ipynb通过jupyter-lab(在'PC 2'上)->误差
- 我通过
pip freeze > requirements.txt从工作的"PC 1"中获得了venv配置，并使用requirements.txt->误差
尽管我尝试了，抛出的错误总是相同的。
这是抛出的错误:('julab'是我的venv)
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
~AppDataLocalTempipykernel_96082329219183.py in <module>
10 val_dl = test_loader,
11 epochs=num_epochs,
---> 12 device='cpu')
~AppDataLocalTempipykernel_9608132402798.py in train(model, optimizer, loss_fn, train_dl, val_dl, epochs, device)
27 num_train_examples = 0
28
---> 29 for batch in train_dl:
30
31 optimizer.zero_grad()
d:<CLOUD><SUBFOLDER>julablibsite-packagestorchutilsdatadataloader.py in __next__(self)
650 # TODO(https://github.com/pytorch/pytorch/issues/76750)
651 self._reset() # type: ignore[call-arg]
--> 652 data = self._next_data()
653 self._num_yielded += 1
654 if self._dataset_kind == _DatasetKind.Iterable and
d:<CLOUD><SUBFOLDER>julablibsite-packagestorchutilsdatadataloader.py in _next_data(self)
690 def _next_data(self):
691 index = self._next_index() # may raise StopIteration
--> 692 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
693 if self._pin_memory:
694 data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
d:<CLOUD><SUBFOLDER>julablibsite-packagestorchutilsdata_utilsfetch.py in fetch(self, possibly_batched_index)
47 def fetch(self, possibly_batched_index):
48 if self.auto_collation:
---> 49 data = [self.dataset[idx] for idx in possibly_batched_index]
50 else:
51 data = self.dataset[possibly_batched_index]
d:<CLOUD><SUBFOLDER>julablibsite-packagestorchutilsdata_utilsfetch.py in <listcomp>(.0)
47 def fetch(self, possibly_batched_index):
48 if self.auto_collation:
---> 49 data = [self.dataset[idx] for idx in possibly_batched_index]
50 else:
51 data = self.dataset[possibly_batched_index]
d:<CLOUD><SUBFOLDER>julablibsite-packagestorchutilsdatadataset.py in __getitem__(self, idx)
288 if isinstance(idx, list):
289 return self.dataset[[self.indices[i] for i in idx]]
--> 290 return self.dataset[self.indices[idx]]
291
292 def __len__(self):
~AppDataLocalTempipykernel_96082122586536.py in __getitem__(self, index)
32
33 def __getitem__(self, index):
---> 34 image_name = os.path.join(self.image_dir, self.image_files[index])
35 image = PIL.Image.open(image_name)
36 label = self.data[index]
IndexError: list index out of range
这可能有帮助，这是我的requirements.txt:
anyio==3.6.1
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
attrs==21.4.0
Babel==2.10.3
backcall==0.2.0
beautifulsoup4==4.11.1
bleach==5.0.1
certifi==2022.6.15
cffi==1.15.1
charset-normalizer==2.1.0
colorama==0.4.5
cycler==0.11.0
debugpy==1.6.0
decorator==5.1.1
defusedxml==0.7.1
dill==0.3.5.1
entrypoints==0.4
fastjsonschema==2.15.3
fonttools==4.33.3
idna==3.3
importlib-metadata==4.12.0
importlib-resources==5.8.0
ipykernel==6.15.0
ipython==7.34.0
ipython-genutils==0.2.0
jedi==0.18.1
Jinja2==3.1.2
joblib==1.1.0
json5==0.9.8
jsonschema==4.6.1
jupyter-client==7.3.4
jupyter-core==4.10.0
jupyter-server==1.18.0
jupyterlab==3.4.3
jupyterlab-pygments==0.2.2
jupyterlab-server==2.14.0
kiwisolver==1.4.3
MarkupSafe==2.1.1
matplotlib==3.5.2
matplotlib-inline==0.1.3
mistune==0.8.4
nbclassic==0.4.0
nbclient==0.6.6
nbconvert==6.5.0
nbformat==5.4.0
nest-asyncio==1.5.5
notebook-shim==0.1.0
numpy==1.21.6
packaging==21.3
pandas==1.3.5
pandocfilters==1.5.0
parso==0.8.3
pickleshare==0.7.5
Pillow==9.2.0
prometheus-client==0.14.1
prompt-toolkit==3.0.30
psutil==5.9.1
pycparser==2.21
Pygments==2.12.0
pyparsing==3.0.9
pyrsistent==0.18.1
python-dateutil==2.8.2
pytz==2022.1
pywin32==304
pywinpty==2.0.5
pyzmq==23.2.0
requests==2.28.1
scikit-learn==1.0.2
scipy==1.7.3
Send2Trash==1.8.0
six==1.16.0
sklearn==0.0
sniffio==1.2.0
soupsieve==2.3.2.post1
terminado==0.15.0
threadpoolctl==3.1.0
tinycss2==1.1.1
torch==1.12.0
torchsummary==1.5.1
torchvision==0.13.0
tornado==6.1
traitlets==5.3.0
typing_extensions==4.3.0
urllib3==1.26.9
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.3.3
zipp==3.8.0
有谁知道问题是什么以及如何解决它吗?提前感谢!
[solved]见上面的注释…