aws / aws/sagemaker-python-sdk

ModelTrainer Local Mode PermissionError: [Errno 13] Permission denied: 'sm_drivers'

Fermée
#5,067 0 commentaires 3 réactions 0 personnes assignées Voir sur GitHub
component: local mode component: model type: bug
Langage dominant
Python
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Forks
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Merge moyen
1 j 22 h
PR mergées (30 j)
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Description

**Describe the bug**
A clear and concise description of what the bug is.
When running local mode example for ModelTrainer from example notebook, see an error like `PermissionError: [Errno 13] Permission denied: 'sm_drivers'` that seems to be coming during the cleanup process after the training is complete.

**To reproduce**
A clear, step-by-step set of instructions to reproduce the bug.
The provided code need to be **complete** and **runnable**, if additional data is needed, please include them in the issue.

Run local mode example from here - https://github.com/aws/amazon-sagemaker-examples/tree/default/%20%20%20%20%20%20build_and_train_models/sm-model_trainer

**Expected behavior**
A clear and concise description of what you expected to happen.
* Running the local mode should not fail with permission denied, can have graceful exit with message or ensure the local cleanup happens successfully

**Screenshots or logs**
If applicable, add screenshots or logs to help explain your problem.

**System information**
A description of your system. Please provide:
- **SageMaker Python SDK version**: 2.240.0
- **Framework name (eg. PyTorch) or algorithm (eg. KMeans)**:
- **Framework version**:
- **Python version**:
- **CPU or GPU**:
- **Custom Docker image (Y/N)**:

**Additional context**
Add any other context about the problem here.

Guide de contribution

Ouvrir le guide de contribution

Piste de recherche

Commencez par l’exemple de local-mode dans build_and_train_models/sm-model_trainer et reproduisez le PermissionError lors du nettoyage avec SageMaker Python SDK 2.240.0. Suivez la gestion du nettoyage pour 'sm_drivers' et vérifiez qu’une exécution normale se termine sans PermissionError et effectue correctement le nettoyage.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Évaluation

Stack technique
aws, python
Domaine
cloud, machine-learning
Type d'issue
Bug
Difficulté
3/5
Temps estimé
1-2 jours
Activité
À l'abandon
Clarté
À clarifier
Accessibilité débutants
35/100

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