aws / aws/amazon-sagemaker-examples
The kernel appears to have died. It will restart automatically error during example
- Dominant language
- Jupyter Notebook
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Description
I created a notebook instance on the console and used this example: tensorflow_abalone_age_predictor_using_layers_2019-07-23
When I restart the kernel run all I get the error, The kernel appears to have died. It will restart automatically. This happens when "from sagemaker.tensorflow import TensorFlow." I didn't change anything in the notebook just restarted the kernel and ran it.
Contributor guide
Research direction
Start by opening the tensorflow_abalone_age_predictor_using_layers_2019-07-23 notebook and reproduce the problem by restarting the kernel, running all cells, and reaching the `from sagemaker.tensorflow import TensorFlow` import. Check why the kernel dies at that point; done means the example runs without the automatic kernel restart error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100