aws / aws/amazon-sagemaker-examples
tensorboard_keras.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/sagemaker-python-sdk/tensorboard_keras/tensorboard_keras.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
HTTPError Traceback (most recent call last)
/usr/local/lib/python3.7/site-packages/tensorflow/python/keras/utils/data_utils.py in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir)
274 try:
--> 275 urlretrieve(origin, fpath, dl_progress)
276 except HTTPError as e:
/usr/local/lib/python3.7/urllib/request.py in urlretrieve(url, filename, reporthook, data)
246
--> 247 with contextlib.closing(urlopen(url, data)) as fp:
248 headers = fp.info()
/usr/local/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
22
[...]
Exception: URL fetch failure on https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz: 500 -- Internal Server Error
Contributor guide
Research direction
Open sagemaker-python-sdk/tensorboard_keras/tensorboard_keras.ipynb and inspect cell In [2], where TensorFlow/Keras fetches the CIFAR-10 archive from the reported Toronto URL. Reproduce the notebook or its CI check first; done means the notebook runs through that download step without the HTTP 500 failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, keras, python, tensorflow
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100