Class GenAiTuningServiceGrpc.GenAiTuningServiceBlockingStub (3.52.0)

public static final class GenAiTuningServiceGrpc.GenAiTuningServiceBlockingStub extends AbstractBlockingStub<GenAiTuningServiceGrpc.GenAiTuningServiceBlockingStub>

A stub to allow clients to do synchronous rpc calls to service GenAiTuningService.

A service for creating and managing GenAI Tuning Jobs.

Inheritance

java.lang.Object > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractBlockingStub > GenAiTuningServiceGrpc.GenAiTuningServiceBlockingStub

Inherited Members

io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)

io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)

io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

io.grpc.stub.AbstractStub.getCallOptions()

io.grpc.stub.AbstractStub.getChannel()

io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)

io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)

io.grpc.stub.AbstractStub.withCompression(java.lang.String)

io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)

io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)

io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)

io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)

io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)

io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)

io.grpc.stub.AbstractStub.withOnReadyThreshold(int)

io.grpc.stub.AbstractStub.withWaitForReady()

Object.clone()

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.toString()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Methods

build(Channel channel, CallOptions callOptions)

protected GenAiTuningServiceGrpc.GenAiTuningServiceBlockingStub build(Channel channel, CallOptions callOptions)

Parameters
Name	Description
`channel`	`io.grpc.Channel`
`callOptions`	`io.grpc.CallOptions`

Returns
Type	Description
`GenAiTuningServiceGrpc.GenAiTuningServiceBlockingStub`

Overrides

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

cancelTuningJob(CancelTuningJobRequest request)

public Empty cancelTuningJob(CancelTuningJobRequest request)

Cancels a TuningJob. Starts asynchronous cancellation on the TuningJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use GenAiTuningService.GetTuningJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the TuningJob is not deleted; instead it becomes a job with a TuningJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and TuningJob.state is set to CANCELLED.

Parameter
Name	Description
`request`	`CancelTuningJobRequest`

Returns
Type	Description
`Empty`

createTuningJob(CreateTuningJobRequest request)

public TuningJob createTuningJob(CreateTuningJobRequest request)

Creates a TuningJob. A created TuningJob right away will be attempted to be run.

Parameter
Name	Description
`request`	`CreateTuningJobRequest`

Returns
Type	Description
`TuningJob`

getTuningJob(GetTuningJobRequest request)

public TuningJob getTuningJob(GetTuningJobRequest request)

Gets a TuningJob.

Parameter
Name	Description
`request`	`GetTuningJobRequest`

Returns
Type	Description
`TuningJob`

listTuningJobs(ListTuningJobsRequest request)

public ListTuningJobsResponse listTuningJobs(ListTuningJobsRequest request)

Lists TuningJobs in a Location.

Parameter
Name	Description
`request`	`ListTuningJobsRequest`

Returns
Type	Description
`ListTuningJobsResponse`

rebaseTunedModel(RebaseTunedModelRequest request)

public Operation rebaseTunedModel(RebaseTunedModelRequest request)

Rebase a TunedModel. Creates a LongRunningOperation that takes a legacy Tuned GenAI model Reference and creates a TuningJob based on newly available model.

Parameter
Name	Description
`request`	`RebaseTunedModelRequest`

Returns
Type	Description
`Operation`