Describe the bug
A clear and concise description of what the bug is.
Bug when running python3 -m import_tracker -n torch -i 2 -s watson_nlp._init_java
Platform
Please provide details about the environment you are using, including the following:
- Interpreter version:
- Library version: 2.2.1
torch version is >=1.10.2,<1.11.0
Sample Code
Please include a minimal sample of the code that will (if possible) reproduce the bug in isolation
Expected behavior
A clear and concise description of what you expected to happen.
Expected to see the set of dependencies from torch
Observed behavior
What you see happening (error messages, stack traces, etc...)
bash-4.4$ python3 -m import_tracker -n torch -i 2 -s watson_nlp._init_java
/usr/local/lib64/python3.8/site-packages/torch/distributed/distributed_c10d.py:170: UserWarning: torch.distributed.reduce_op is deprecated, please use torch.distributed.ReduceOp instead
warnings.warn(
Traceback (most recent call last):
File "/usr/lib64/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib64/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.8/site-packages/import_tracker/__main__.py", line 755, in <module>
main()
File "/usr/local/lib/python3.8/site-packages/import_tracker/__main__.py", line 661, in main
full_module_name: _get_non_std_modules(tracker_finder.get_all_new_modules())
File "/usr/local/lib/python3.8/site-packages/import_tracker/__main__.py", line 429, in get_all_new_modules
self._set_ending_modules()
File "/usr/local/lib/python3.8/site-packages/import_tracker/__main__.py", line 468, in _set_ending_modules
for attr_name, attr in vars(mod).items():
RuntimeError: dictionary changed size during iteration
bash-4.4$
Additional context
Add any other context about the problem here.
Describe the bug
A clear and concise description of what the bug is.
Bug when running
python3 -m import_tracker -n torch -i 2 -s watson_nlp._init_javaPlatform
Please provide details about the environment you are using, including the following:
torchversion is>=1.10.2,<1.11.0Sample Code
Please include a minimal sample of the code that will (if possible) reproduce the bug in isolation
Expected behavior
A clear and concise description of what you expected to happen.
Expected to see the set of dependencies from
torchObserved behavior
What you see happening (error messages, stack traces, etc...)
Additional context
Add any other context about the problem here.