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config.yaml
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config.yaml
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options:
k8s-service-name:
type: string
default: "ml-pipeline"
description: Name of the Kubernetes service where kfp-api will expose itself
grpc-port:
type: string
default: '8887'
description: GRPC port
http-port:
type: string
default: '8888'
description: HTTP port
log-archive-filename:
type: string
default: 'main.log'
description: Name of log file in object storage
log-archive-prefix:
type: string
default: '/artifacts'
description: Prefix for log file in object storage
auto-update-default-version:
type: boolean
default: true
description: |
If true, the default pipeline version will be updated
when uploading a new version of a pipeline
cache-image:
type: string
default: "gcr.io/google-containers/busybox"
description: Which image to list as the backing image for a pipeline run step pulled from cache
cache-enabled:
type: boolean
default: true
description: If true, pipeline run steps can be cached instead of re-run
runner-sa:
type: string
default: "default-editor"
description: |
Default pipeline runner service account.
Used if service account is left unspecified when creating a run
init-connection-timeout:
type: string
default: '6m'
description: |
Connection timeout used when initializing clients for related services.
The format used can be anything accepted by `time.ParseDuration`.
object-store-bucket-name:
type: string
default: "mlpipeline"
description: Default name of object storage bucket.
launcher-image:
type: string
# Source: https://github.com/kubeflow/pipelines/blob/2.3.0/backend/src/v2/compiler/argocompiler/container.go#L33
default: "gcr.io/ml-pipeline/kfp-launcher@sha256:bef55a344574a25c557256d7c66cb19edacfd2008d694e5b6bb5b612d59feae0"
description: Launcher image used during a pipeline's steps.
driver-image:
type: string
# Source: https://github.com/kubeflow/pipelines/blob/2.3.0/backend/src/v2/compiler/argocompiler/container.go#L35
default: "gcr.io/ml-pipeline/kfp-driver@sha256:dc8b56a2eb071f30409828a8884d621092e68385af11a6c06aa9e9fbcfbb19de"
description: Driver image used during a pipeline's steps.
log-level:
type: string
default: "info"
description: Log level of api server