aws / aws/amazon-sagemaker-examples
tf-eager-sm-scriptmode.ipynb failed CI
- 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/tensorflow-eager-script-mode/tf-eager-sm-scriptmode.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [1]":
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
in
3
4
----> 5 tf.enable_eager_execution()
6 tf.set_random_seed(0)
7 tf.logging.set_verbosity(tf.logging.ERROR)
AttributeError: module 'tensorflow' has no attribute 'enable_eager_execution'
Contributor guide
Research direction
Open sagemaker-python-sdk/tensorflow-eager-script-mode/tf-eager-sm-scriptmode.ipynb and inspect the first cell, especially the failing tf.enable_eager_execution() call. Reproduce the notebook CI failure, then verify that the notebook runs without the reported AttributeError and passes the relevant CI check.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- ci-cd, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 32/100