Cancels a TrainingPipeline. Starts asynchronous cancellation on the
TrainingPipeline. The server makes a best effort to cancel the pipeline,
but success is not guaranteed. Clients can use
PipelineService.GetTrainingPipeline or other methods to check whether
the cancellation succeeded or whether the pipeline completed despite
cancellation. On successful cancellation, the TrainingPipeline is not
deleted; instead it becomes a pipeline with a TrainingPipeline.error
value with a google.rpc.Status.code of 1, corresponding to
Code.CANCELLED
, and TrainingPipeline.state is set to CANCELLED
.
Arguments
Parameters | |
---|---|
name |
Required. The name of the TrainingPipeline to cancel. Format: |
region |
Required. Region of the HTTP endpoint. For example, if region is set to |
Raised exceptions
Exceptions | |
---|---|
ConnectionError |
In case of a network problem (such as DNS failure or refused connection). |
HttpError |
If the response status is >= 400 (excluding 429 and 503). |
TimeoutError |
If a long-running operation takes longer to finish than the specified timeout limit. |
TypeError |
If an operation or function receives an argument of the wrong type. |
ValueError |
If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout. |
Response
If successful, the response will be empty.
Subworkflow snippet
Some fields might be optional or required. To identify required fields, refer to the API documentation.
YAML
- cancel: call: googleapis.aiplatform.v1.projects.locations.trainingPipelines.cancel args: name: ... region: ... result: cancelResult
JSON
[ { "cancel": { "call": "googleapis.aiplatform.v1.projects.locations.trainingPipelines.cancel", "args": { "name": "...", "region": "..." }, "result": "cancelResult" } } ]