aws / aws/amazon-sagemaker-examples

mxnet_mnist_with_gluon_local_mode.ipynb failed CI

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Dominant language
Jupyter Notebook
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Avg merge
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Merged PRs (30d)
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Description

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/mxnet_gluon_mnist/mxnet_mnist_with_gluon_local_mode.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
in
11 instance_type = 'local'
12
---> 13 if subprocess.call('nvidia-smi') == 0:
14 ## Set type to GPU if one is present
15 instance_type = 'local_gpu'

/usr/local/lib/python3.7/subprocess.py in call(timeout, *popenargs, **kwargs)
337 retcode = call(["ls", "-l"])
338 """
--> 339 with Popen(*popenargs, **kwargs) as p:
340 try:
341 return p.wait(timeout=timeout)

/usr/local/lib/python3.7/subprocess.py in __init__(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creation

[...]

FileNotFoundError: [Errno 2] No such file or directory: 'nvidia-smi': 'nvidia-smi'

Contributor guide

Open the contributing guide

Research direction

Start with sagemaker-python-sdk/mxnet_gluon_mnist/mxnet_mnist_with_gluon_local_mode.ipynb, especially cell In [2] and its subprocess.call('nvidia-smi') check. Run the notebook in the CI environment and verify that it completes when nvidia-smi is unavailable while still detecting the local GPU case when applicable.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python
Domain
machine-learning
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
35/100

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