aws / aws/amazon-sagemaker-examples

rl_unity_ray.ipynb failed CI

Open
#2,369 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
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Forks
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Avg merge
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Merged PRs (30d)
8

Description

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/reinforcement_learning/rl_unity_ray/rl_unity_ray.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [1]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
11 from time import gmtime, strftime
12 sys.path.append("common")
---> 13 from misc import get_execution_role, wait_for_s3_object
14 from docker_utils import build_and_push_docker_image
15 from sagemaker.rl import RLEstimator, RLToolkit, RLFramework

ModuleNotFoundError: No module named 'misc'

Contributor guide

Open the contributing guide

Research direction

Open reinforcement_learning/rl_unity_ray/rl_unity_ray.ipynb and inspect the sys.path setup around the misc import in the first cell. Run the notebook or its CI check to reproduce the ModuleNotFoundError. Done means the notebook gets past the first cell without the missing-module error and CI succeeds.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, python
Domain
ci-cd, machine-learning
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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