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Details of setup:-
Since the cluster doesn't support the conda environment, I installed all the libraries with their latest version in virtualenv. I am attaching the libraries version file here. requirements.txt
Details of execution:-
When I tried to ran the visualize_events.pyfunctionalities with the help ofexample.py` file.
The stack trace is given below:
Traceback (most recent call last):
File "/cvmfs/soft.computecanada.ca/easybuild/software/2020/avx512/Core/python/3.9.6/lib/python3.9/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/cvmfs/soft.computecanada.ca/easybuild/software/2020/avx512/Core/python/3.9.6/lib/python3.9/multiprocessing/pool.py", line 48, in mapstar
return list(map(*args))
File "/project/60025/anshita/ClimateNet/climatenet/visualize_events.py", line 98, in spawn
generatePNG(filename, input_data[int(i/8)].sel(variable="TMQ")[i%8],
File "/localscratch/anshita.1386.0/env/lib/python3.9/site-packages/xarray/core/dataarray.py", line 816, in __getitem__
return self.isel(indexers=self._item_key_to_dict(key))
File "/localscratch/anshita.1386.0/env/lib/python3.9/site-packages/xarray/core/dataarray.py", line 1395, in isel
variable = self._variable.isel(indexers, missing_dims=missing_dims)
File "/localscratch/anshita.1386.0/env/lib/python3.9/site-packages/xarray/core/variable.py", line 1312, in isel
return self[key]
File "/localscratch/anshita.1386.0/env/lib/python3.9/site-packages/xarray/core/variable.py", line 860, in __getitem__
data = as_indexable(self._data)[indexer]
File "/localscratch/anshita.1386.0/env/lib/python3.9/site-packages/xarray/core/indexing.py", line 1263, in __getitem__
return array[key]
IndexError: index 4 is out of bounds for axis 0 with size 1
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/project/60025/anshita/ClimateNet/example.py", line 32, in <module>
visualize_events(event_masks, inference, 'pngs/')
File "/project/60025/anshita/ClimateNet/climatenet/visualize_events.py", line 102, in visualize_events
pool.map(spawn, range(len(event_masks)))
File "/cvmfs/soft.computecanada.ca/easybuild/software/2020/avx512/Core/python/3.9.6/lib/python3.9/multiprocessing/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/cvmfs/soft.computecanada.ca/easybuild/software/2020/avx512/Core/python/3.9.6/lib/python3.9/multiprocessing/pool.py", line 771, in get
raise self._value
IndexError: index 4 is out of bounds for axis 0 with size 1
I also tried to print the associated values also, which is attached below:
Code values printed by me:
Line numbers: 90 and 91 of visualize_events.py file:
Please let me know in case you need further details of how I am running your code or any configuration-related details. I will wait and appreciate your attention to this issue.
Appreciate your response at the earliest.
Thank You.
Best regards,
Anshita Saxena
The text was updated successfully, but these errors were encountered:
Hi authors,
While I was trying to run the
visualize_events.py
file, the code stuck with this issue:IndexError: index 4 is out of bounds for axis 0 with size 1
Environment Details:
NAME="Rocky Linux"
VERSION="8.7 (Green Obsidian)"
ID_LIKE="rhel centos fedora"
Details of setup:-
Since the cluster doesn't support the conda environment, I installed all the libraries with their latest version in virtualenv. I am attaching the libraries version file here. requirements.txt
Data Set and pre-trained model details:
Train Dataset
Inference Dataset
Pre-trained Model
I am using these files:- config_new.json and weights_new.pth
Details of execution:-
When I tried to ran the visualize_events.py
functionalities with the help of
example.py` file.The stack trace is given below:
I also tried to print the associated values also, which is attached below:
Code values printed by me:
Line numbers: 90 and 91 of
visualize_events.py
file:Please let me know in case you need further details of how I am running your code or any configuration-related details. I will wait and appreciate your attention to this issue.
Appreciate your response at the earliest.
Thank You.
Best regards,
Anshita Saxena
The text was updated successfully, but these errors were encountered: