aws / aws/amazon-sagemaker-examples
fairseq_sagemaker_pretrained_en2fr.ipynb failed CI
- Dominant language
- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/advanced_functionality/fairseq_translation/fairseq_sagemaker_pretrained_en2fr.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
CalledProcessError Traceback (most recent call last)
in
----> 1 get_ipython().run_cell_magic('sh', '', 'chmod +x create_container.sh \n\n./create_container.sh pytorch-fairseq-serve\n')
/opt/conda/lib/python3.6/site-packages/IPython/core/interactiveshell.py in run_cell_magic(self, magic_name, line, cell)
2369 with self.builtin_trap:
2370 args = (magic_arg_s, cell)
-> 2371 result = fn(*args, **kwargs)
2372 return result
2373
/opt/conda/lib/python3.6/site-packages/IPython/core/magics/script.py in named_script_magic(line, cell)
140
[...]
CalledProcessError: Command 'b'chmod +x create_container.sh \n\n./create_container.sh pytorch-fairseq-serve\n'' returned non-zero exit status 1.
Contributor guide
Research direction
Open advanced_functionality/fairseq_translation/fairseq_sagemaker_pretrained_en2fr.ipynb and inspect cell In [4], where create_container.sh is run. Reproduce the notebook CI failure, then trace the nonzero exit from ./create_container.sh; done means the notebook completes that cell successfully in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, pytorch
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100