aws / aws/amazon-sagemaker-examples
hpo_bring_your_own_keras_container.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/hyperparameter_tuning/keras_bring_your_own/hpo_bring_your_own_keras_container.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [3]":
---------------------------------------------------------------------------
CalledProcessError Traceback (most recent call last)
in
24
25 print('building image:'+image_name)
---> 26 build_image(image_name, tensorflow_version_tag)
in build_image(name, version)
7 def build_image(name, version):
8 cmd = 'docker build -t %s --build-arg VERSION=%s -f Dockerfile .' % (name, version)
----> 9 subprocess.check_call(shlex.split(cmd))
10
11 #version tag can be found at https://hub.docker.com/r/tensorflow/tensorflow/tags/
/usr/local/lib/python3.7/subpro
[...]
CalledProcessError: Command '['docker', 'build', '-t', '521695447989.dkr.ecr.us-west-2.amazonaws.com/test:tensorflow-1.10.1', '--build-arg', 'VERSION=1.10.1', '-f', 'Dockerfile', '.']' returned non-zero exit status 1.
Contributor guide
Research direction
Open hyperparameter_tuning/keras_bring_your_own/hpo_bring_your_own_keras_container.ipynb and inspect In [3], especially build_image and the Dockerfile command. Reproduce the reported docker build using TensorFlow version 1.10.1, then identify the build failure; done means the notebook passes CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, jupyter-notebook, keras, python, tensorflow
- Domain
- ci-cd, devops, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100