windows
Need to install pytorch and torchvision
Problem encountered (please include all error codes if any)
When trying to run in jupyter-lab, importing pytorch works fine but importing torchvision always raises an error
Attempted solutions
Tried many solutions found online with no effect; attempted multiple times to install using both conda and pip from the official website, downloads work fine in Anaconda Prompt but errors occur in jupyter-lab
Try uninstalling PIL with pip and reinstalling it to see if it works.
What does reinstalling PIL mean? I just uninstalled torch in the cmd.
Your error should be caused by import PILLOW_VERSION from PIL, so try first pip uninstall PIL to uninstall PIL, then pip install PIL to reinstall it.
Use this keyword to search on Bing
Installation of torchvision error can not import PILLOW_VERSION from PIL
Please provide all error messages sequentially from start to finish, using text instead of images whenever possible.
This makes it easier for others to help diagnose the problem.
For example:
(torch) C:\Users\123456>pip uninstall PIL
WARNING: Skipping PIL as it is not installed.
(torch) C:\Users\123456>pip install PIL
ERROR: Could not find a version that satisfies the requirement PIL (from versions: none)
ERROR: No matching distribution found for PIL
Try reinstalling Jupyter and PyTorch in a new virtual environment; this is the most convenient way 
This means you want to uninstall PIL, but it was never installed before.
I want to install PIL, but the machine doesn’t know which version to install.
Okay, I’ll start over.
After switching to the new virtual environment
just enter this line to install everything
pip install jupyterlab torch torchvision torchaudio
This means installing jupyterlab, torch, torchvision, and torchaudio with pip.
There was an error, is it due to slow internet speed? Can I use the Tsinghua mirror?
ERROR: Exception:
Traceback (most recent call last):
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\urllib3\response.py", line 437, in _error_catcher
yield
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\urllib3\response.py", line 560, in read
data = self._fp_read(amt) if not fp_closed else b""
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\urllib3\response.py", line 526, in _fp_read
return self._fp.read(amt) if amt is not None else self._fp.read()
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 90, in read
data = self.__fp.read(amt)
File "C:\anocoda\envs\torch1\lib\http\client.py", line 465, in read
n = self.readinto(b)
File "C:\anocoda\envs\torch1\lib\http\client.py", line 509, in readinto
n = self.fp.readinto(b)
File "C:\anocoda\envs\torch1\lib\socket.py", line 589, in readinto
return self._sock.recv_into(b)
File "C:\anocoda\envs\torch1\lib\ssl.py", line 1071, in recv_into
return self.read(nbytes, buffer)
File "C:\anocoda\envs\torch1\lib\ssl.py", line 929, in read
return self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\cli\base_command.py", line 160, in exc_logging_wrapper
status = run_func(*args)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\cli\req_command.py", line 247, in wrapper
return func(self, options, args)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\commands\install.py", line 401, in run
reqs, check_supported_wheels=not options.target_dir
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 93, in resolve
collected.requirements, max_rounds=try_to_avoid_resolution_too_deep
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 481, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 348, in resolve
self._add_to_criteria(self.state.criteria, r, parent=None)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 172, in _add_to_criteria
if not criterion.candidates:
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\resolvelib\structs.py", line 151, in __bool__
return bool(self._sequence)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 155, in __bool__
return any(self)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 143, in <genexpr>
return (c for c in iterator if id(c) not in self._incompatible_ids)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 47, in _iter_built
candidate = func()
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 211, in _make_candidate_from_link
version=version,
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 303, in __init__
version=version,
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 162, in __init__
self.dist = self._prepare()
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 231, in _prepare
dist = self._prepare_distribution()
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 308, in _prepare_distribution
return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\operations\prepare.py", line 491, in prepare_linked_requirement
return self._prepare_linked_requirement(req, parallel_builds)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\operations\prepare.py", line 542, in _prepare_linked_requirement
hashes,
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\operations\prepare.py", line 170, in unpack_url
hashes=hashes,
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\operations\prepare.py", line 107, in get_http_url
from_path, content_type = download(link, temp_dir.path)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\network\download.py", line 147, in __call__
for chunk in chunks:
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\cli\progress_bars.py", line 53, in _rich_progress_bar
for chunk in iterable:
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_internal\network\utils.py", line 87, in response_chunks
decode_content=False,
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\urllib3\response.py", line 621, in stream
data = self.read(amt=amt, decode_content=decode_content)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\urllib3\response.py", line 586, in read
raise IncompleteRead(self._fp_bytes_read, self.length_remaining)
File "C:\anocoda\envs\torch1\lib\contextlib.py", line 130, in __exit__
self.gen.throw(type, value, traceback)
File "C:\anocoda\envs\torch1\lib\site-packages\pip\_vendor\urllib3\response.py", line 442, in _error_catcher
raise ReadTimeoutError(self._pool, None, "Read timed out.")
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.
443 error, switch to the Tsinghua mirror
The new virtual environment I created is torch1. It seems to have been installed successfully on the Anaconda prompt, but it reports an error on jupyter-lab.
(base) C:\Users\123456>activate torch1
(torch1) C:\Users\123456>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple torch torchvision torchaudio
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: torch in c:\anocoda\envs\torch1\lib\site-packages (1.13.1)
Collecting torchvision
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/77/ec/ccdfcafb958f6007cc357ce12fd945551a71503b88cd3f78e49fd958f949/torchvision-0.14.1-cp37-cp37m-win_amd64.whl (1.1 MB)
Collecting torchaudio
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/01/66/0b5689b4a26255b23bf899d9ae016b04d9ea244e944b8010a71fe5f500ff/torchaudio-0.13.1-cp37-cp37m-win_amd64.whl (2.0 MB)
Requirement already satisfied: typing-extensions in c:\anocoda\envs\torch1\lib\site-packages (from torch) (4.7.1)
Collecting requests
Using cached https://pypi.tuna.tsinghua.edu.cn/packages/70/8e/0e2d847013cb52cd35b38c009bb167a1a26b2ce6cd6965bf26b47bc0bf44/requests-2.31.0-py3-none-any.whl (62 kB)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\anocoda\envs\torch1\lib\site-packages (from torchvision) (9.5.0)
Requirement already satisfied: numpy in c:\anocoda\envs\torch1\lib\site-packages (from torchvision) (1.21.6)
Requirement already satisfied: charset-normalizer<4,>=2 in c:\anocoda\envs\torch1\lib\site-packages (from requests->torchvision) (3.2.0)
Requirement already satisfied: idna<4,>=2.5 in c:\anocoda\envs\torch1\lib\site-packages (from requests->torchvision) (3.4)
Requirement already satisfied: certifi>=2017.4.17 in c:\anocoda\envs\torch1\lib\site-packages (from requests->torchvision) (2022.12.7)
Requirement already satisfied: urllib3<3,>=1.21.1 in c:\anocoda\envs\torch1\lib\site-packages (from requests->torchvision) (2.0.4)
Installing collected packages: requests, torchvision, torchaudio
Successfully installed requests-2.31.0 torchaudio-0.13.1 torchvision-0.14.1
The error shown on jupyter-lab is modlenotfound.
This issue has also been reported by others. You can install it in Jupyter using pip. I guess it’s probably an environment variable problem, but that’s just a guess.
!pip install torch torchvision torchaudio
It doesn’t seem to be this problem
The method of using !pip in Jupyter has been verified twice by myself and other classmates without any issues; at least this way it can be installed and used.
pip in a fresh virtual environment!pip to install torch inside JupyterIf you want to know more about why such issues occur and how to solve them, you can search for the keywords related to this problem.
https://blog.csdn.net/denglavender/article/details/111707097
No errors now, but the result doesn’t seem to be what I wanted. It looks like it’s the CPU version.