aws / aws/amazon-sagemaker-examples
RL Deepracer Notebook FileNotFoundError
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
In: https://github.com/awslabs/amazon-sagemaker-examples/blob/master/reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/deepracer_rl.ipynb
Notebook fails when retrieving: training_metrics.json
`FileNotFoundError: S3 object s3://.../training_metrics.json never appeared after 1200 seconds`
Occurs when you run:
`training_metrics_file = "training_metrics.json" `
`training_metrics_path = "{}/{}".format(s3_prefix, training_metrics_file)`
`wait_for_s3_object(s3_bucket, training_metrics_path, tmp_dir)`
To reproduce error:
Launch SM Notebook instance
Clone https://github.com/awslabs/amazon-sagemaker-examples.git
Open https://github.com/awslabs/amazon-sagemaker-examples/blob/master/reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/deepracer_rl.ipynb
Click "Cell" -> "Run All"
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Research direction
Open reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/deepracer_rl.ipynb in an Amazon SageMaker Notebook instance and run all cells to reproduce the missing training_metrics.json error. Trace the training_metrics_path and wait_for_s3_object calls, then verify that the notebook completes without the FileNotFoundError and retrieves the expected S3 object.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100