aws / aws/amazon-sagemaker-examples

tensorflow-serving-cifar10-python-sdk.ipynb failed CI

Open
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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_batch_transform/tensorflow_cifar-10_with_inference_script/tensorflow-serving-cifar10-python-sdk.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [3]":
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
in
----> 1 inputs = sagemaker_session.upload_data(path='data', key_prefix='data/DEMO-batch-cifar10-tf')
2 display(inputs)

/usr/local/lib/python3.7/site-packages/sagemaker/session.py in upload_data(self, path, bucket, key_prefix, extra_args)
225
226 for local_path, s3_key in files:
--> 227 s3.Object(bucket, s3_key).upload_file(local_path, ExtraArgs=extra_args)
228
229 s3_uri = "s3://{}/{}".format(bucket, key_prefix)

/usr/local/lib/python3.7/site-packages/boto3/s3/inject.py in object_upload_file(self, Filename, ExtraArgs, Callback, Config)
278 return self.meta.client.upload_file(

[...]

FileNotFoundError: [Errno 2] No such file or directory: 'data'

Contributor guide

Open the contributing guide

Research direction

Open sagemaker_batch_transform/tensorflow_cifar-10_with_inference_script/tensorflow-serving-cifar10-python-sdk.ipynb and start at In [3], where sagemaker_session.upload_data fails because the data path is missing. Re-run the notebook or CI check after investigating that path, and confirm the notebook completes without FileNotFoundError.

Written by the indexing model from the issue text.

Assessment

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

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