Comments (9)
@lokijota , thank you for the advice. I deleted the pipeline and created a new one, it did take the updated code and ran the pipeline successfully. Could someone from Engineering take a look at the Github code checkout issue? Thanks.
from mlops-v2.
I replaced all the hyphens with underscores, it didn't fix the error. Please let me know how to get the pipeline to run using AML CLI2
from mlops-v2.
@cynthiajiangatl what is the error you are seeing? If you replaced the hyphens with underscores, you shouldn't be seeing the same error
from mlops-v2.
I still see the same error, not sure why it was not using the updated code. When I tried to use a particular commit to run the devops pipeline, it ran into another issue, just not checking out the latest code for some reason.
from mlops-v2.
Hi @cynthiajiangatl . For some reason ADO didn't pick up the changes with me either, I had to recreate the pipeline in ADO, but then it worked. Just make sure you replace all the references in the yml file, in the job stage names and references.
from mlops-v2.
I have the same error also. Are '-' dashes allowed? the MLOps-v2 uses dashes. https://github.com/Azure/mlops-v2/blob/main/data-science-regression/pipeline.yml. The official AML Examples - https://github.com/Azure/azureml-examples/blob/main/cli/jobs/pipelines/nyc-taxi/pipeline.yml YML uses underscores "_". What's the best practice?
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I had the same issue; I renamed the job names under data-science-regression/pipeline.yml, and then made sure the other step jobs reflect the changes. This resolved my issue. Thought I would share:
jobs:
prep_job:
type: command
component: file:./components/prep/prep.yml
inputs:
raw_data: ${{parent.inputs.pipeline_job_input}}
outputs:
transformed_data: ${{parent.outputs.pipeline_job_transformed_data}}
train_job:
type: command
component: file:./components/train/train.yml
inputs:
training_data: ${{parent.jobs.prep_job.outputs.transformed_data}}
outputs:
model_output: ${{parent.outputs.pipeline_job_trained_model}}
....
....
from mlops-v2.
Regarding the ADO pipeline not picking up the latest changes, this is due to the presence of the Cache@2 task in the install-az-cli.yml template. Remove that step (or properly configure it) and the ADO pipeline will pick up the latest changes.
from mlops-v2.
removed Cache@2 task in the cli-v2 template as Andrei specified, code changes elsewhere now will be reflected when you rerun the same pipeline
from mlops-v2.
Related Issues (20)
- No deploy-model-training-pipeline.yml or other examples for Python SDK v2 HOT 2
- Unexpected parameter "build_type" when running deploy-model-training-pipeline in CV pattern HOT 9
- Update documentation for Github Action deployment HOT 1
- run the model-deploy-pipeline github action workflow automatically on completion of model-training-pipeline gha workflow
- Python SDK v2 option is not working
- Environments are not created automatically (Prod &Dev) on Azure DevOps Pipelines HOT 2
- When "config-infra-prod.yml" file is changed, 3 pipelines are automatically triggered and failed. HOT 2
- Review added
- Repository mlops-templates references endpoint github-connection which does not exist or is not authorized for use HOT 4
- Missing /mlops/azureml/train/data.yml (ADO/classical) HOT 1
- Using sweep in the train pipeline errors out HOT 1
- Azure DevOps - Error Deploying Online Endpoint - ResourceNotReady: User container has crashed or terminated: Liveness probe failed: HTTP probe failed with statuscode: 502 HOT 1
- RAI Insights Dashboard Constructor step fails
- Any support or suggestion of initializing a ML repo with your codes locally and create related pipelines? HOT 5
- Model Training ADO pipeline FAILS after over an hour HOT 8
- For free/VS MCT subscriptions vcore quota limit of 6 in eastus causes endpoint deployment failure HOT 2
- Jenkins Pipeline HOT 1
- Accelerator Azure Devops instructions steps 3.5.2 & 3.5.3 misleading HOT 3
- Deploying Infrastructure via Azure DevOps HOT 6
- Accelerator guide ADO with Terraform misses creation of dev AML environment HOT 5
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from mlops-v2.