Crashing execution
See original GitHub issueDescription
What steps will reproduce the problem?
What happens for my program when i ran my program in
Traceback
Exception in comms call get_namespace_view:
File "C:\Program Files\Spyder\pkgs\spyder_kernels\comms\commbase.py", line 315, in _comm_message
encoding='latin-1')
ModuleNotFoundError: No module named 'torch'
Versions
- Spyder version: 4.2.1
- Python version: 3.7.9
- Qt version: 5.12.10
- PyQt5 version: 5.12.3
- Operating System: Windows 10
Dependencies
# Mandatory:
atomicwrites >=1.2.0 : 1.4.0 (OK)
chardet >=2.0.0 : 4.0.0 (OK)
cloudpickle >=0.5.0 : 1.6.0 (OK)
diff_match_patch >=20181111 : 20200713 (OK)
intervaltree : None (OK)
IPython >=7.6.0 : 7.19.0 (OK)
jedi =0.17.2 : 0.17.2 (OK)
jsonschema >=3.2.0 : 3.2.0 (OK)
keyring >=17.0.0 : 21.5.0 (OK)
nbconvert >=4.0 : 6.0.7 (OK)
numpydoc >=0.6.0 : 1.1.0 (OK)
paramiko >=2.4.0 : 2.7.2 (OK)
parso =0.7.0 : 0.7.0 (OK)
pexpect >=4.4.0 : 4.8.0 (OK)
pickleshare >=0.4 : 0.7.5 (OK)
psutil >=5.3 : 5.7.3 (OK)
pygments >=2.0 : 2.7.3 (OK)
pylint >=1.0 : 2.6.0 (OK)
pyls >=0.36.2;<1.0.0 : 0.36.2 (OK)
pyls_black >=0.4.6 : 0.4.6 (OK)
pyls_spyder >=0.3.0 : 0.3.0 (OK)
qdarkstyle >=2.8 : 2.8.1 (OK)
qtawesome >=0.5.7 : 1.0.2 (OK)
qtconsole >=5.0.1 : 5.0.1 (OK)
qtpy >=1.5.0 : 1.9.0 (OK)
rtree >=0.8.3 : 0.9.4 (OK)
setuptools >=39.0.0 : 51.0.0 (OK)
sphinx >=0.6.6 : 3.3.1 (OK)
spyder_kernels >=1.10.1;<1.11.0 : 1.10.1 (OK)
textdistance >=4.2.0 : 4.2.0 (OK)
three_merge >=0.1.1 : 0.1.1 (OK)
watchdog : 1.0.2 (OK)
zmq >=17 : 20.0.0 (OK)
# Optional:
cython >=0.21 : 0.29.21 (OK)
matplotlib >=2.0.0 : 3.3.3 (OK)
numpy >=1.7 : 1.19.3 (OK)
pandas >=1.1.1 : 1.1.5 (OK)
scipy >=0.17.0 : 1.5.4 (OK)
sympy >=0.7.3 : 1.7.1 (OK)
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (3 by maintainers)
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Top GitHub Comments
Yeah, that’s really the only possible solution right now. Closing then.
Hi @ccordoba12, all the variables (even simple numpy arrays) were gone after the error in my case, so the Variable Explorer was fully empty.
I can add to this that installing spyder on exactly the same environment where PyTorch was and running Spyder on that environment solves this issue for me. Now I can explore all variables including PyTorch objects and numpy arrays.
I think this can be related to: #15683 and #15522
My environment now