mple_pipeline on stack gcp-demo (caching disabled)The attribute pipeline_root has not been set in the orchestrator configuration. One has been generated automatically based on the path of the GCPArtifactStore artifact store in the stack used to execute the pipeline. The generated pipeline_root is gs://zenml-bucket-sl/vertex_pipeline_root/simple_pipeline/simple_pipeline_default_6e72f3e1.

/home/stefan/aspyre/src/zenml/.venv/lib/python3.8/site-packages/kfp/v2/compiler/compiler.py:1290: FutureWarning: APIs imported from the v1 namespace (e.g. kfp.dsl, kfp.components, etc) will not be supported by the v2 compiler since v2.0.0

warnings.warn(

Writing Vertex workflow definition to /home/stefan/.config/zenml/vertex/8a0b53ee-644a-4fbe-8e91-d4d6ddf79ae8/pipelines/simple_pipeline_default_6e72f3e1.json.

No schedule detected. Creating one-off vertex job...

Submitting pipeline job with job_id simple-pipeline-default-6e72f3e1 to Vertex AI Pipelines service.

The Vertex AI Pipelines job workload will be executed using the connectors-vertex-ai-workload@zenml-core.iam.gserviceaccount.com service account.

Creating PipelineJob

INFO:google.cloud.aiplatform.pipeline_jobs:Creating PipelineJob

PipelineJob created. Resource name: projects/20219041791/locations/europe-west1/pipelineJobs/simple-pipeline-default-6e72f3e1

INFO:google.cloud.aiplatform.pipeline_jobs:PipelineJob created. Resource name: projects/20219041791/locations/europe-west1/pipelineJobs/simple-pipeline-default-6e72f3e1

To use this PipelineJob in another session:

INFO:google.cloud.aiplatform.pipeline_jobs:To use this PipelineJob in another session:

pipeline_job = aiplatform.PipelineJob.get('projects/20219041791/locations/europe-west1/pipelineJobs/simple-pipeline-default-6e72f3e1')

INFO:google.cloud.aiplatform.pipeline_jobs:pipeline_job = aiplatform.PipelineJob.get('projects/20219041791/locations/europe-west1/pipelineJobs/simple-pipeline-default-6e72f3e1')

View Pipeline Job: