PluginsGoogle CloudTasksVertexaiCustomJob

CustomJob​Custom​Job

CustomJob CustomJob

yaml
type: "io.kestra.plugin.gcp.vertexai.CustomJob"

Start a Vertex AI custom job.

Examples

yaml
id: gcp_vertexai_custom_job
namespace: company.team

tasks:
  - id: custom_job
    type: io.kestra.plugin.gcp.vertexai.CustomJob
    projectId: my-gcp-project
    region: europe-west1
    displayName: Start Custom Job
    spec:
      workerPoolSpecs:
      - containerSpec:
          imageUri: gcr.io/my-gcp-project/my-dir/my-image:latest
        machineSpec:
          machineType: n1-standard-4
        replicaCount: 1

Properties

delete

  • Type: boolean
  • Dynamic: ✔️
  • Required: ✔️
  • Default: true

Delete the job at the end.

displayName

  • Type: string
  • Dynamic: ✔️
  • Required: ✔️

The job display name.

region

  • Type: string
  • Dynamic: ✔️
  • Required: ✔️

The GCP region.

spec

The job specification.

wait

  • Type: boolean
  • Dynamic: ✔️
  • Required: ✔️
  • Default: true

Wait for the end of the job.

Allowing to capture job status & logs.

projectId

  • Type: string
  • Dynamic: ✔️
  • Required: ❌

The GCP project ID.

scopes

  • Type: array
  • SubType: string
  • Dynamic: ✔️
  • Required: ❌
  • Default: [https://www.googleapis.com/auth/cloud-platform]

The GCP scopes to be used.

serviceAccount

  • Type: string
  • Dynamic: ✔️
  • Required: ❌

The GCP service account key.

Outputs

createDate

  • Type: string
  • Required: ✔️
  • Format: date-time

Time when the CustomJob was created.

endDate

  • Type: string
  • Required: ✔️
  • Format: date-time

Time when the CustomJob was ended.

name

  • Type: string
  • Required: ✔️

Resource name of a CustomJob.

state

  • Type: string
  • Required: ✔️
  • Possible Values:
    • JOB_STATE_UNSPECIFIED
    • JOB_STATE_QUEUED
    • JOB_STATE_PENDING
    • JOB_STATE_RUNNING
    • JOB_STATE_SUCCEEDED
    • JOB_STATE_FAILED
    • JOB_STATE_CANCELLING
    • JOB_STATE_CANCELLED
    • JOB_STATE_PAUSED
    • JOB_STATE_EXPIRED
    • JOB_STATE_UPDATING
    • JOB_STATE_PARTIALLY_SUCCEEDED
    • UNRECOGNIZED

The detailed state of the CustomJob.

updateDate

  • Type: string
  • Required: ✔️
  • Format: date-time

Time when the CustomJob was updated.

Definitions

io.kestra.plugin.gcp.vertexai.models.ContainerSpec

Properties

imageUri
  • Type: string
  • Dynamic: ✔️
  • Required: ✔️

The URI of a container image in the Container Registry that is to be run on each worker replica.

Must be on google container registry, example: gcr.io/{{ project }}/{{ dir }}/{{ image }}:{{ tag }}

args
  • Type: array
  • SubType: string
  • Dynamic: ✔️
  • Required: ❌

The arguments to be passed when starting the container.

commands
  • Type: array
  • SubType: string
  • Dynamic: ✔️
  • Required: ❌

The command to be invoked when the container is started.

It overrides the entrypoint instruction in Dockerfile when provided.

env
  • Type: object
  • SubType: string
  • Dynamic: ✔️
  • Required: ❌

Environment variables to be passed to the container.

Maximum limit is 100.

io.kestra.plugin.gcp.vertexai.models.CustomJobSpec

Properties

workerPoolSpecs
  • Type: array
  • SubType: WorkerPoolSpec
  • Dynamic: ✔️
  • Required: ✔️
  • Min items: 1

The spec of the worker pools including machine type and Docker image.

All worker pools except the first one are optional and can be skipped

baseOutputDirectory

The Cloud Storage location to store the output of this job.

enableWebAccess
  • Type: boolean
  • Dynamic: ❌
  • Required: ❌

Whether you want Vertex AI to enable interactive shell access to training containers.

network
  • Type: string
  • Dynamic: ✔️
  • Required: ❌

The full name of the Compute Engine network to which the Job should be peered.

For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.

scheduling

Scheduling options for a CustomJob.

serviceAccount
  • Type: string
  • Dynamic: ✔️
  • Required: ❌

Specifies the service account for workload run-as account.

   Users submitting jobs must have act-as permission on this run-as account.

   If unspecified, the [Vertex AI Custom Code Service

   Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
   for the CustomJob's project is used.
tensorboard
  • Type: string
  • Dynamic: ✔️
  • Required: ❌

The name of a Vertex AI Tensorboard resource to which this CustomJob

will upload Tensorboard logs. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}

io.kestra.plugin.gcp.vertexai.models.GcsDestination

Properties

outputUriPrefix
  • Type: string
  • Dynamic: ❌
  • Required: ✔️

Google Cloud Storage URI to output directory.

If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.

io.kestra.plugin.gcp.vertexai.models.WorkerPoolSpec

Properties

containerSpec

** The custom container task.**

machineSpec

The specification of a single machine.

discSpec

The specification of the disk.

pythonPackageSpec

The python package specs.

replicaCount
  • Type: integer
  • Dynamic: ❌
  • Required: ❌

The specification of the disk.

io.kestra.plugin.gcp.vertexai.models.PythonPackageSpec

Properties

args
  • Type: array
  • SubType: string
  • Dynamic: ✔️
  • Required: ✔️

The Google Cloud Storage location of the Python package files which are the training program and its dependent packages.

The maximum number of package URIs is 100.

envs
  • Type: object
  • SubType: string
  • Dynamic: ✔️
  • Required: ✔️

Environment variables to be passed to the python module.

Maximum limit is 100.

packageUris
  • Type: array
  • SubType: string
  • Dynamic: ✔️
  • Required: ✔️

The Google Cloud Storage location of the Python package files which are the training program and its dependent packages.

The maximum number of package URIs is 100.

io.kestra.plugin.gcp.vertexai.models.DiscSpec

Properties

bootDiskSizeGb
  • Type: integer
  • Dynamic: ❌
  • Required: ❌
  • Default: 100

Size in GB of the boot disk.

bootDiskType
  • Type: string
  • Dynamic: ❌
  • Required: ❌
  • Default: PD_SSD
  • Possible Values:
    • PD_SSD
    • PD_STANDARD

Type of the boot disk.

io.kestra.plugin.gcp.vertexai.models.MachineSpec

Properties

machineType
  • Type: string
  • Dynamic: ✔️
  • Required: ✔️

** The type of the machine.**

See the list of machine types supported forprediction See the list of machine types supported for custom training.

acceleratorCount
  • Type: integer
  • Dynamic: ❌
  • Required: ❌

The number of accelerators to attach to the machine.

acceleratorType
  • Type: string
  • Dynamic: ✔️
  • Required: ❌
  • Possible Values:
    • ACCELERATOR_TYPE_UNSPECIFIED
    • NVIDIA_TESLA_K80
    • NVIDIA_TESLA_P100
    • NVIDIA_TESLA_V100
    • NVIDIA_TESLA_P4
    • NVIDIA_TESLA_T4
    • NVIDIA_TESLA_A100
    • NVIDIA_A100_80GB
    • NVIDIA_L4
    • NVIDIA_H100_80GB
    • TPU_V2
    • TPU_V3
    • TPU_V4_POD
    • TPU_V5_LITEPOD
    • UNRECOGNIZED

The type of accelerator(s) that may be attached to the machine.

io.kestra.plugin.gcp.vertexai.models.Scheduling

Properties

restartJobOnWorkerRestart
  • Type: boolean
  • Dynamic: ❌
  • Required: ✔️

Restarts the entire CustomJob if a worker gets restarted.

This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.

timeOut
  • Type: string
  • Dynamic: ❌
  • Required: ✔️
  • Format: duration

The maximum job running time. The default is 7 days.

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