Fix bad input and deployment container crash error in notebook tests #3609
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
The image-object-detection test is failing later at deployment step which will be taken care in a separate PR. But as far as bad input failures is concerned, this change has worked. |
SamGos93
previously approved these changes
Jun 4, 2025
yeshsurya
approved these changes
Jun 4, 2025
yeshsurya
requested changes
Jun 4, 2025
javed-73
changed the title
yeshsurya
approved these changes
Jun 5, 2025
SamGos93
reviewed
Jun 5, 2025
| @@ -85,6 +85,7 @@ jobs: | |||
| source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh"; | |||
| bash "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh" generate_workspace_config "../../.azureml/config.json"; | |||
| bash "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh" replace_template_values "automl-image-object-detection-task-fridge-items.ipynb"; | |||
| sed -i 's/max_trials=2/max_trials=3/g' automl-image-object-detection-task-fridge-items.ipynb | |||
There was a problem hiding this comment.
Why is this not working with 2 but with 3 max trials?
max_trials as per documentation mentions the following:
Parameter for maximum number of configurations to sweep. Must be an integer between 1 and 1000. When exploring just the default hyperparameters for a given model algorithm, set this parameter to 1. Default value is 1.
Trying to understand why?
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
Couple of issues fixed in the PR
Image-object-detection notebook
test run is failing because of bad input.
image_object_detection_job = automl.image_object_detection(
compute=compute_name,
experiment_name=exp_name,
training_data=my_training_data_input,
validation_data=my_validation_data_input,
target_column_name="label",
primary_metric="mean_average_precision",
tags={"my_custom_tag": "My custom value"},
)
image_object_detection_job.set_limits(
max_trials=2,
max_concurrent_trials=2,
)
Issue: max trials used for running the sweep pipeline job uses max trials as 2, which is throwing "Error: Input request is invalid" as can be seen in the job
Updating to max trials to 3 fixes it.
Job
Failed build
Looking at the deployment logs, below is the error.
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
Job
Fix: use GPU machine for deployment.
Checklist