Training crashes on local compute_target

[buggooo]

When reproducing the tutorial only to use 'local' as training_target (with docker installed locally) and data moved to the source directory, so that it is visible to script, I got the following error after the conda environment was built, as a part of the first docker run execution:

Logging experiment running status in history service.
Running: ['docker', 'run', '--name', 'sklearn-mnist_154...b', ...
...
/azureml-envs/azureml_088...6/bin/python: can't open file 'azureml-setup/run_script.py': [Errno 2] No such file or directory

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Document Details

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• ID: 4bee4b9a-ce0f-f98b-3160-d6c4a40ef3ac
• Version Independent ID: a0475a9e-47f6-2803-8707-fac54ba898dd
• Content: Image classification tutorial: Train models - Azure Machine Learning service
• Content Source: articles/machine-learning/service/tutorial-train-models-with-aml.md
• Service: machine-learning
• GitHub Login: @hning86
• Microsoft Alias: haining

[YutongTie-MSFT]

@buggooo
Thanks for the feedback! We are currently investigating and will update you shortly.

[buggooo]

Just some additional clarification: I'm running on Windows (Docker for Windows). It seems that the C:\Users...\AppData\Local\Temp\azureml_runs\sklearn-mnist_1546526644_ad63ddfb folder is mounted into \azureml-run but is empty inside the docker image

[buggooo]

Problem solved. It had to do with some strange behavior on Docker for Windows, with restrictions to your user password. See more here docker/for-win#25 (comment)