aws / aws/amazon-sagemaker-examples
tensorflow_keras_CIFAR10.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
- 8h 29m
- Merged PRs (30d)
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/tensorflow_keras_CIFAR10.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [3]":
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
in
2
3 bucket = sagemaker_session.default_bucket()
----> 4 dataset_uri = S3Uploader.upload('data', 's3://{}/tf-cifar10-example/data'.format(bucket))
5
6 display(dataset_uri)
/usr/local/lib/python3.7/site-packages/sagemaker/s3.py in upload(local_path, desired_s3_uri, kms_key, sagemaker_session)
89
90 return sagemaker_session.upload_data(
---> 91 path=local_path, bucket=bucket, key_prefix=key_prefix, extra_args=extra_args
92 )
93
/usr/local/lib/python3.7/site-packages/sagemaker/session.py in upload_data(self, path, bucket, key_prefix, extra_args)
225
226
[...]
FileNotFoundError: [Errno 2] No such file or directory: 'data'
Contributor guide
Research direction
Open sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/tensorflow_keras_CIFAR10.ipynb and inspect the failing In [3] cell, especially the S3Uploader.upload('data', ...) call. Run the notebook or its CI check to determine why the local data path is absent; done means the notebook completes without the FileNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100