Struct gapi_grpc::google::cloud::aiplatform::v1beta1::pipeline_service_client::PipelineServiceClient [−][src]
A service for creating and managing Vertex AI’s pipelines. This includes both
TrainingPipeline
resources (used for AutoML and custom training) and
PipelineJob
resources (used for Vertex Pipelines).
Implementations
impl PipelineServiceClient<Channel>
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pub async fn connect<D>(dst: D) -> Result<Self, Error> where
D: TryInto<Endpoint>,
D::Error: Into<StdError>,
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D: TryInto<Endpoint>,
D::Error: Into<StdError>,
Attempt to create a new client by connecting to a given endpoint.
impl<T> PipelineServiceClient<T> where
T: GrpcService<BoxBody>,
T::ResponseBody: Body + HttpBody + Send + 'static,
T::Error: Into<StdError>,
<T::ResponseBody as HttpBody>::Error: Into<StdError> + Send,
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T: GrpcService<BoxBody>,
T::ResponseBody: Body + HttpBody + Send + 'static,
T::Error: Into<StdError>,
<T::ResponseBody as HttpBody>::Error: Into<StdError> + Send,
pub fn new(inner: T) -> Self
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pub fn with_interceptor(inner: T, interceptor: impl Into<Interceptor>) -> Self
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pub async fn create_training_pipeline(
&mut self,
request: impl IntoRequest<CreateTrainingPipelineRequest>
) -> Result<Response<TrainingPipeline>, Status>
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&mut self,
request: impl IntoRequest<CreateTrainingPipelineRequest>
) -> Result<Response<TrainingPipeline>, Status>
Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
pub async fn get_training_pipeline(
&mut self,
request: impl IntoRequest<GetTrainingPipelineRequest>
) -> Result<Response<TrainingPipeline>, Status>
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&mut self,
request: impl IntoRequest<GetTrainingPipelineRequest>
) -> Result<Response<TrainingPipeline>, Status>
Gets a TrainingPipeline.
pub async fn list_training_pipelines(
&mut self,
request: impl IntoRequest<ListTrainingPipelinesRequest>
) -> Result<Response<ListTrainingPipelinesResponse>, Status>
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&mut self,
request: impl IntoRequest<ListTrainingPipelinesRequest>
) -> Result<Response<ListTrainingPipelinesResponse>, Status>
Lists TrainingPipelines in a Location.
pub async fn delete_training_pipeline(
&mut self,
request: impl IntoRequest<DeleteTrainingPipelineRequest>
) -> Result<Response<Operation>, Status>
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&mut self,
request: impl IntoRequest<DeleteTrainingPipelineRequest>
) -> Result<Response<Operation>, Status>
Deletes a TrainingPipeline.
pub async fn cancel_training_pipeline(
&mut self,
request: impl IntoRequest<CancelTrainingPipelineRequest>
) -> Result<Response<()>, Status>
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&mut self,
request: impl IntoRequest<CancelTrainingPipelineRequest>
) -> Result<Response<()>, Status>
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][google.cloud.aiplatform.v1beta1.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][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
corresponding to Code.CANCELLED
, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
CANCELLED
.
pub async fn create_pipeline_job(
&mut self,
request: impl IntoRequest<CreatePipelineJobRequest>
) -> Result<Response<PipelineJob>, Status>
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&mut self,
request: impl IntoRequest<CreatePipelineJobRequest>
) -> Result<Response<PipelineJob>, Status>
Creates a PipelineJob. A PipelineJob will run immediately when created.
pub async fn get_pipeline_job(
&mut self,
request: impl IntoRequest<GetPipelineJobRequest>
) -> Result<Response<PipelineJob>, Status>
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&mut self,
request: impl IntoRequest<GetPipelineJobRequest>
) -> Result<Response<PipelineJob>, Status>
Gets a PipelineJob.
pub async fn list_pipeline_jobs(
&mut self,
request: impl IntoRequest<ListPipelineJobsRequest>
) -> Result<Response<ListPipelineJobsResponse>, Status>
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&mut self,
request: impl IntoRequest<ListPipelineJobsRequest>
) -> Result<Response<ListPipelineJobsResponse>, Status>
Lists PipelineJobs in a Location.
pub async fn delete_pipeline_job(
&mut self,
request: impl IntoRequest<DeletePipelineJobRequest>
) -> Result<Response<Operation>, Status>
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&mut self,
request: impl IntoRequest<DeletePipelineJobRequest>
) -> Result<Response<Operation>, Status>
Deletes a PipelineJob.
pub async fn cancel_pipeline_job(
&mut self,
request: impl IntoRequest<CancelPipelineJobRequest>
) -> Result<Response<()>, Status>
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&mut self,
request: impl IntoRequest<CancelPipelineJobRequest>
) -> Result<Response<()>, Status>
Cancels a PipelineJob.
Starts asynchronous cancellation on the PipelineJob. The server
makes a best effort to cancel the pipeline, but success is not
guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or
other methods to check whether the cancellation succeeded or whether the
pipeline completed despite cancellation. On successful cancellation,
the PipelineJob is not deleted; instead it becomes a pipeline with
a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
corresponding to Code.CANCELLED
, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to
CANCELLED
.
Trait Implementations
impl<T: Clone> Clone for PipelineServiceClient<T>
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fn clone(&self) -> Self
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pub fn clone_from(&mut self, source: &Self)
1.0.0[src]
impl<T> Debug for PipelineServiceClient<T>
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Auto Trait Implementations
impl<T> !RefUnwindSafe for PipelineServiceClient<T>
impl<T> Send for PipelineServiceClient<T> where
T: Send,
T: Send,
impl<T> Sync for PipelineServiceClient<T> where
T: Sync,
T: Sync,
impl<T> Unpin for PipelineServiceClient<T> where
T: Unpin,
T: Unpin,
impl<T> !UnwindSafe for PipelineServiceClient<T>
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> IntoRequest<T> for T
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pub fn into_request(self) -> Request<T>
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impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
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V: MultiLane<T>,
impl<T> WithSubscriber for T
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pub fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
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S: Into<Dispatch>,