| // Copyright 2022 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // https://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go_gapic. DO NOT EDIT. |
| |
| package aiplatform |
| |
| import ( |
| "context" |
| "fmt" |
| "math" |
| "net/url" |
| "time" |
| |
| "cloud.google.com/go/longrunning" |
| lroauto "cloud.google.com/go/longrunning/autogen" |
| gax "github.com/googleapis/gax-go/v2" |
| "google.golang.org/api/iterator" |
| "google.golang.org/api/option" |
| "google.golang.org/api/option/internaloption" |
| gtransport "google.golang.org/api/transport/grpc" |
| aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1" |
| longrunningpb "google.golang.org/genproto/googleapis/longrunning" |
| "google.golang.org/grpc" |
| "google.golang.org/grpc/metadata" |
| "google.golang.org/protobuf/proto" |
| ) |
| |
| var newTensorboardClientHook clientHook |
| |
| // TensorboardCallOptions contains the retry settings for each method of TensorboardClient. |
| type TensorboardCallOptions struct { |
| CreateTensorboard []gax.CallOption |
| GetTensorboard []gax.CallOption |
| UpdateTensorboard []gax.CallOption |
| ListTensorboards []gax.CallOption |
| DeleteTensorboard []gax.CallOption |
| CreateTensorboardExperiment []gax.CallOption |
| GetTensorboardExperiment []gax.CallOption |
| UpdateTensorboardExperiment []gax.CallOption |
| ListTensorboardExperiments []gax.CallOption |
| DeleteTensorboardExperiment []gax.CallOption |
| CreateTensorboardRun []gax.CallOption |
| BatchCreateTensorboardRuns []gax.CallOption |
| GetTensorboardRun []gax.CallOption |
| UpdateTensorboardRun []gax.CallOption |
| ListTensorboardRuns []gax.CallOption |
| DeleteTensorboardRun []gax.CallOption |
| BatchCreateTensorboardTimeSeries []gax.CallOption |
| CreateTensorboardTimeSeries []gax.CallOption |
| GetTensorboardTimeSeries []gax.CallOption |
| UpdateTensorboardTimeSeries []gax.CallOption |
| ListTensorboardTimeSeries []gax.CallOption |
| DeleteTensorboardTimeSeries []gax.CallOption |
| BatchReadTensorboardTimeSeriesData []gax.CallOption |
| ReadTensorboardTimeSeriesData []gax.CallOption |
| ReadTensorboardBlobData []gax.CallOption |
| WriteTensorboardExperimentData []gax.CallOption |
| WriteTensorboardRunData []gax.CallOption |
| ExportTensorboardTimeSeriesData []gax.CallOption |
| } |
| |
| func defaultTensorboardGRPCClientOptions() []option.ClientOption { |
| return []option.ClientOption{ |
| internaloption.WithDefaultEndpoint("aiplatform.googleapis.com:443"), |
| internaloption.WithDefaultMTLSEndpoint("aiplatform.mtls.googleapis.com:443"), |
| internaloption.WithDefaultAudience("https://aiplatform.googleapis.com/"), |
| internaloption.WithDefaultScopes(DefaultAuthScopes()...), |
| internaloption.EnableJwtWithScope(), |
| option.WithGRPCDialOption(grpc.WithDefaultCallOptions( |
| grpc.MaxCallRecvMsgSize(math.MaxInt32))), |
| } |
| } |
| |
| func defaultTensorboardCallOptions() *TensorboardCallOptions { |
| return &TensorboardCallOptions{ |
| CreateTensorboard: []gax.CallOption{}, |
| GetTensorboard: []gax.CallOption{}, |
| UpdateTensorboard: []gax.CallOption{}, |
| ListTensorboards: []gax.CallOption{}, |
| DeleteTensorboard: []gax.CallOption{}, |
| CreateTensorboardExperiment: []gax.CallOption{}, |
| GetTensorboardExperiment: []gax.CallOption{}, |
| UpdateTensorboardExperiment: []gax.CallOption{}, |
| ListTensorboardExperiments: []gax.CallOption{}, |
| DeleteTensorboardExperiment: []gax.CallOption{}, |
| CreateTensorboardRun: []gax.CallOption{}, |
| BatchCreateTensorboardRuns: []gax.CallOption{}, |
| GetTensorboardRun: []gax.CallOption{}, |
| UpdateTensorboardRun: []gax.CallOption{}, |
| ListTensorboardRuns: []gax.CallOption{}, |
| DeleteTensorboardRun: []gax.CallOption{}, |
| BatchCreateTensorboardTimeSeries: []gax.CallOption{}, |
| CreateTensorboardTimeSeries: []gax.CallOption{}, |
| GetTensorboardTimeSeries: []gax.CallOption{}, |
| UpdateTensorboardTimeSeries: []gax.CallOption{}, |
| ListTensorboardTimeSeries: []gax.CallOption{}, |
| DeleteTensorboardTimeSeries: []gax.CallOption{}, |
| BatchReadTensorboardTimeSeriesData: []gax.CallOption{}, |
| ReadTensorboardTimeSeriesData: []gax.CallOption{}, |
| ReadTensorboardBlobData: []gax.CallOption{}, |
| WriteTensorboardExperimentData: []gax.CallOption{}, |
| WriteTensorboardRunData: []gax.CallOption{}, |
| ExportTensorboardTimeSeriesData: []gax.CallOption{}, |
| } |
| } |
| |
| // internalTensorboardClient is an interface that defines the methods availaible from Vertex AI API. |
| type internalTensorboardClient interface { |
| Close() error |
| setGoogleClientInfo(...string) |
| Connection() *grpc.ClientConn |
| CreateTensorboard(context.Context, *aiplatformpb.CreateTensorboardRequest, ...gax.CallOption) (*CreateTensorboardOperation, error) |
| CreateTensorboardOperation(name string) *CreateTensorboardOperation |
| GetTensorboard(context.Context, *aiplatformpb.GetTensorboardRequest, ...gax.CallOption) (*aiplatformpb.Tensorboard, error) |
| UpdateTensorboard(context.Context, *aiplatformpb.UpdateTensorboardRequest, ...gax.CallOption) (*UpdateTensorboardOperation, error) |
| UpdateTensorboardOperation(name string) *UpdateTensorboardOperation |
| ListTensorboards(context.Context, *aiplatformpb.ListTensorboardsRequest, ...gax.CallOption) *TensorboardIterator |
| DeleteTensorboard(context.Context, *aiplatformpb.DeleteTensorboardRequest, ...gax.CallOption) (*DeleteTensorboardOperation, error) |
| DeleteTensorboardOperation(name string) *DeleteTensorboardOperation |
| CreateTensorboardExperiment(context.Context, *aiplatformpb.CreateTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) |
| GetTensorboardExperiment(context.Context, *aiplatformpb.GetTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) |
| UpdateTensorboardExperiment(context.Context, *aiplatformpb.UpdateTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) |
| ListTensorboardExperiments(context.Context, *aiplatformpb.ListTensorboardExperimentsRequest, ...gax.CallOption) *TensorboardExperimentIterator |
| DeleteTensorboardExperiment(context.Context, *aiplatformpb.DeleteTensorboardExperimentRequest, ...gax.CallOption) (*DeleteTensorboardExperimentOperation, error) |
| DeleteTensorboardExperimentOperation(name string) *DeleteTensorboardExperimentOperation |
| CreateTensorboardRun(context.Context, *aiplatformpb.CreateTensorboardRunRequest, ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) |
| BatchCreateTensorboardRuns(context.Context, *aiplatformpb.BatchCreateTensorboardRunsRequest, ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardRunsResponse, error) |
| GetTensorboardRun(context.Context, *aiplatformpb.GetTensorboardRunRequest, ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) |
| UpdateTensorboardRun(context.Context, *aiplatformpb.UpdateTensorboardRunRequest, ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) |
| ListTensorboardRuns(context.Context, *aiplatformpb.ListTensorboardRunsRequest, ...gax.CallOption) *TensorboardRunIterator |
| DeleteTensorboardRun(context.Context, *aiplatformpb.DeleteTensorboardRunRequest, ...gax.CallOption) (*DeleteTensorboardRunOperation, error) |
| DeleteTensorboardRunOperation(name string) *DeleteTensorboardRunOperation |
| BatchCreateTensorboardTimeSeries(context.Context, *aiplatformpb.BatchCreateTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardTimeSeriesResponse, error) |
| CreateTensorboardTimeSeries(context.Context, *aiplatformpb.CreateTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) |
| GetTensorboardTimeSeries(context.Context, *aiplatformpb.GetTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) |
| UpdateTensorboardTimeSeries(context.Context, *aiplatformpb.UpdateTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) |
| ListTensorboardTimeSeries(context.Context, *aiplatformpb.ListTensorboardTimeSeriesRequest, ...gax.CallOption) *TensorboardTimeSeriesIterator |
| DeleteTensorboardTimeSeries(context.Context, *aiplatformpb.DeleteTensorboardTimeSeriesRequest, ...gax.CallOption) (*DeleteTensorboardTimeSeriesOperation, error) |
| DeleteTensorboardTimeSeriesOperation(name string) *DeleteTensorboardTimeSeriesOperation |
| BatchReadTensorboardTimeSeriesData(context.Context, *aiplatformpb.BatchReadTensorboardTimeSeriesDataRequest, ...gax.CallOption) (*aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse, error) |
| ReadTensorboardTimeSeriesData(context.Context, *aiplatformpb.ReadTensorboardTimeSeriesDataRequest, ...gax.CallOption) (*aiplatformpb.ReadTensorboardTimeSeriesDataResponse, error) |
| ReadTensorboardBlobData(context.Context, *aiplatformpb.ReadTensorboardBlobDataRequest, ...gax.CallOption) (aiplatformpb.TensorboardService_ReadTensorboardBlobDataClient, error) |
| WriteTensorboardExperimentData(context.Context, *aiplatformpb.WriteTensorboardExperimentDataRequest, ...gax.CallOption) (*aiplatformpb.WriteTensorboardExperimentDataResponse, error) |
| WriteTensorboardRunData(context.Context, *aiplatformpb.WriteTensorboardRunDataRequest, ...gax.CallOption) (*aiplatformpb.WriteTensorboardRunDataResponse, error) |
| ExportTensorboardTimeSeriesData(context.Context, *aiplatformpb.ExportTensorboardTimeSeriesDataRequest, ...gax.CallOption) *TimeSeriesDataPointIterator |
| } |
| |
| // TensorboardClient is a client for interacting with Vertex AI API. |
| // Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls. |
| // |
| // TensorboardService |
| type TensorboardClient struct { |
| // The internal transport-dependent client. |
| internalClient internalTensorboardClient |
| |
| // The call options for this service. |
| CallOptions *TensorboardCallOptions |
| |
| // LROClient is used internally to handle long-running operations. |
| // It is exposed so that its CallOptions can be modified if required. |
| // Users should not Close this client. |
| LROClient *lroauto.OperationsClient |
| } |
| |
| // Wrapper methods routed to the internal client. |
| |
| // Close closes the connection to the API service. The user should invoke this when |
| // the client is no longer required. |
| func (c *TensorboardClient) Close() error { |
| return c.internalClient.Close() |
| } |
| |
| // setGoogleClientInfo sets the name and version of the application in |
| // the `x-goog-api-client` header passed on each request. Intended for |
| // use by Google-written clients. |
| func (c *TensorboardClient) setGoogleClientInfo(keyval ...string) { |
| c.internalClient.setGoogleClientInfo(keyval...) |
| } |
| |
| // Connection returns a connection to the API service. |
| // |
| // Deprecated. |
| func (c *TensorboardClient) Connection() *grpc.ClientConn { |
| return c.internalClient.Connection() |
| } |
| |
| // CreateTensorboard creates a Tensorboard. |
| func (c *TensorboardClient) CreateTensorboard(ctx context.Context, req *aiplatformpb.CreateTensorboardRequest, opts ...gax.CallOption) (*CreateTensorboardOperation, error) { |
| return c.internalClient.CreateTensorboard(ctx, req, opts...) |
| } |
| |
| // CreateTensorboardOperation returns a new CreateTensorboardOperation from a given name. |
| // The name must be that of a previously created CreateTensorboardOperation, possibly from a different process. |
| func (c *TensorboardClient) CreateTensorboardOperation(name string) *CreateTensorboardOperation { |
| return c.internalClient.CreateTensorboardOperation(name) |
| } |
| |
| // GetTensorboard gets a Tensorboard. |
| func (c *TensorboardClient) GetTensorboard(ctx context.Context, req *aiplatformpb.GetTensorboardRequest, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) { |
| return c.internalClient.GetTensorboard(ctx, req, opts...) |
| } |
| |
| // UpdateTensorboard updates a Tensorboard. |
| func (c *TensorboardClient) UpdateTensorboard(ctx context.Context, req *aiplatformpb.UpdateTensorboardRequest, opts ...gax.CallOption) (*UpdateTensorboardOperation, error) { |
| return c.internalClient.UpdateTensorboard(ctx, req, opts...) |
| } |
| |
| // UpdateTensorboardOperation returns a new UpdateTensorboardOperation from a given name. |
| // The name must be that of a previously created UpdateTensorboardOperation, possibly from a different process. |
| func (c *TensorboardClient) UpdateTensorboardOperation(name string) *UpdateTensorboardOperation { |
| return c.internalClient.UpdateTensorboardOperation(name) |
| } |
| |
| // ListTensorboards lists Tensorboards in a Location. |
| func (c *TensorboardClient) ListTensorboards(ctx context.Context, req *aiplatformpb.ListTensorboardsRequest, opts ...gax.CallOption) *TensorboardIterator { |
| return c.internalClient.ListTensorboards(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboard deletes a Tensorboard. |
| func (c *TensorboardClient) DeleteTensorboard(ctx context.Context, req *aiplatformpb.DeleteTensorboardRequest, opts ...gax.CallOption) (*DeleteTensorboardOperation, error) { |
| return c.internalClient.DeleteTensorboard(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboardOperation returns a new DeleteTensorboardOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardOperation, possibly from a different process. |
| func (c *TensorboardClient) DeleteTensorboardOperation(name string) *DeleteTensorboardOperation { |
| return c.internalClient.DeleteTensorboardOperation(name) |
| } |
| |
| // CreateTensorboardExperiment creates a TensorboardExperiment. |
| func (c *TensorboardClient) CreateTensorboardExperiment(ctx context.Context, req *aiplatformpb.CreateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { |
| return c.internalClient.CreateTensorboardExperiment(ctx, req, opts...) |
| } |
| |
| // GetTensorboardExperiment gets a TensorboardExperiment. |
| func (c *TensorboardClient) GetTensorboardExperiment(ctx context.Context, req *aiplatformpb.GetTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { |
| return c.internalClient.GetTensorboardExperiment(ctx, req, opts...) |
| } |
| |
| // UpdateTensorboardExperiment updates a TensorboardExperiment. |
| func (c *TensorboardClient) UpdateTensorboardExperiment(ctx context.Context, req *aiplatformpb.UpdateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { |
| return c.internalClient.UpdateTensorboardExperiment(ctx, req, opts...) |
| } |
| |
| // ListTensorboardExperiments lists TensorboardExperiments in a Location. |
| func (c *TensorboardClient) ListTensorboardExperiments(ctx context.Context, req *aiplatformpb.ListTensorboardExperimentsRequest, opts ...gax.CallOption) *TensorboardExperimentIterator { |
| return c.internalClient.ListTensorboardExperiments(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboardExperiment deletes a TensorboardExperiment. |
| func (c *TensorboardClient) DeleteTensorboardExperiment(ctx context.Context, req *aiplatformpb.DeleteTensorboardExperimentRequest, opts ...gax.CallOption) (*DeleteTensorboardExperimentOperation, error) { |
| return c.internalClient.DeleteTensorboardExperiment(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboardExperimentOperation returns a new DeleteTensorboardExperimentOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardExperimentOperation, possibly from a different process. |
| func (c *TensorboardClient) DeleteTensorboardExperimentOperation(name string) *DeleteTensorboardExperimentOperation { |
| return c.internalClient.DeleteTensorboardExperimentOperation(name) |
| } |
| |
| // CreateTensorboardRun creates a TensorboardRun. |
| func (c *TensorboardClient) CreateTensorboardRun(ctx context.Context, req *aiplatformpb.CreateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) { |
| return c.internalClient.CreateTensorboardRun(ctx, req, opts...) |
| } |
| |
| // BatchCreateTensorboardRuns batch create TensorboardRuns. |
| func (c *TensorboardClient) BatchCreateTensorboardRuns(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardRunsRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardRunsResponse, error) { |
| return c.internalClient.BatchCreateTensorboardRuns(ctx, req, opts...) |
| } |
| |
| // GetTensorboardRun gets a TensorboardRun. |
| func (c *TensorboardClient) GetTensorboardRun(ctx context.Context, req *aiplatformpb.GetTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) { |
| return c.internalClient.GetTensorboardRun(ctx, req, opts...) |
| } |
| |
| // UpdateTensorboardRun updates a TensorboardRun. |
| func (c *TensorboardClient) UpdateTensorboardRun(ctx context.Context, req *aiplatformpb.UpdateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) { |
| return c.internalClient.UpdateTensorboardRun(ctx, req, opts...) |
| } |
| |
| // ListTensorboardRuns lists TensorboardRuns in a Location. |
| func (c *TensorboardClient) ListTensorboardRuns(ctx context.Context, req *aiplatformpb.ListTensorboardRunsRequest, opts ...gax.CallOption) *TensorboardRunIterator { |
| return c.internalClient.ListTensorboardRuns(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboardRun deletes a TensorboardRun. |
| func (c *TensorboardClient) DeleteTensorboardRun(ctx context.Context, req *aiplatformpb.DeleteTensorboardRunRequest, opts ...gax.CallOption) (*DeleteTensorboardRunOperation, error) { |
| return c.internalClient.DeleteTensorboardRun(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboardRunOperation returns a new DeleteTensorboardRunOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardRunOperation, possibly from a different process. |
| func (c *TensorboardClient) DeleteTensorboardRunOperation(name string) *DeleteTensorboardRunOperation { |
| return c.internalClient.DeleteTensorboardRunOperation(name) |
| } |
| |
| // BatchCreateTensorboardTimeSeries batch create TensorboardTimeSeries that belong to a TensorboardExperiment. |
| func (c *TensorboardClient) BatchCreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardTimeSeriesResponse, error) { |
| return c.internalClient.BatchCreateTensorboardTimeSeries(ctx, req, opts...) |
| } |
| |
| // CreateTensorboardTimeSeries creates a TensorboardTimeSeries. |
| func (c *TensorboardClient) CreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.CreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) { |
| return c.internalClient.CreateTensorboardTimeSeries(ctx, req, opts...) |
| } |
| |
| // GetTensorboardTimeSeries gets a TensorboardTimeSeries. |
| func (c *TensorboardClient) GetTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.GetTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) { |
| return c.internalClient.GetTensorboardTimeSeries(ctx, req, opts...) |
| } |
| |
| // UpdateTensorboardTimeSeries updates a TensorboardTimeSeries. |
| func (c *TensorboardClient) UpdateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.UpdateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) { |
| return c.internalClient.UpdateTensorboardTimeSeries(ctx, req, opts...) |
| } |
| |
| // ListTensorboardTimeSeries lists TensorboardTimeSeries in a Location. |
| func (c *TensorboardClient) ListTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.ListTensorboardTimeSeriesRequest, opts ...gax.CallOption) *TensorboardTimeSeriesIterator { |
| return c.internalClient.ListTensorboardTimeSeries(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboardTimeSeries deletes a TensorboardTimeSeries. |
| func (c *TensorboardClient) DeleteTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.DeleteTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*DeleteTensorboardTimeSeriesOperation, error) { |
| return c.internalClient.DeleteTensorboardTimeSeries(ctx, req, opts...) |
| } |
| |
| // DeleteTensorboardTimeSeriesOperation returns a new DeleteTensorboardTimeSeriesOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardTimeSeriesOperation, possibly from a different process. |
| func (c *TensorboardClient) DeleteTensorboardTimeSeriesOperation(name string) *DeleteTensorboardTimeSeriesOperation { |
| return c.internalClient.DeleteTensorboardTimeSeriesOperation(name) |
| } |
| |
| // BatchReadTensorboardTimeSeriesData reads multiple TensorboardTimeSeries’ data. The data point number limit is |
| // 1000 for scalars, 100 for tensors and blob references. If the number of |
| // data points stored is less than the limit, all data will be returned. |
| // Otherwise, that limit number of data points will be randomly selected from |
| // this time series and returned. |
| func (c *TensorboardClient) BatchReadTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.BatchReadTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) (*aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse, error) { |
| return c.internalClient.BatchReadTensorboardTimeSeriesData(ctx, req, opts...) |
| } |
| |
| // ReadTensorboardTimeSeriesData reads a TensorboardTimeSeries’ data. By default, if the number of data |
| // points stored is less than 1000, all data will be returned. Otherwise, 1000 |
| // data points will be randomly selected from this time series and returned. |
| // This value can be changed by changing max_data_points, which can’t be |
| // greater than 10k. |
| func (c *TensorboardClient) ReadTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.ReadTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) (*aiplatformpb.ReadTensorboardTimeSeriesDataResponse, error) { |
| return c.internalClient.ReadTensorboardTimeSeriesData(ctx, req, opts...) |
| } |
| |
| // ReadTensorboardBlobData gets bytes of TensorboardBlobs. |
| // This is to allow reading blob data stored in consumer project’s Cloud |
| // Storage bucket without users having to obtain Cloud Storage access |
| // permission. |
| func (c *TensorboardClient) ReadTensorboardBlobData(ctx context.Context, req *aiplatformpb.ReadTensorboardBlobDataRequest, opts ...gax.CallOption) (aiplatformpb.TensorboardService_ReadTensorboardBlobDataClient, error) { |
| return c.internalClient.ReadTensorboardBlobData(ctx, req, opts...) |
| } |
| |
| // WriteTensorboardExperimentData write time series data points of multiple TensorboardTimeSeries in multiple |
| // TensorboardRun’s. If any data fail to be ingested, an error will be |
| // returned. |
| func (c *TensorboardClient) WriteTensorboardExperimentData(ctx context.Context, req *aiplatformpb.WriteTensorboardExperimentDataRequest, opts ...gax.CallOption) (*aiplatformpb.WriteTensorboardExperimentDataResponse, error) { |
| return c.internalClient.WriteTensorboardExperimentData(ctx, req, opts...) |
| } |
| |
| // WriteTensorboardRunData write time series data points into multiple TensorboardTimeSeries under |
| // a TensorboardRun. If any data fail to be ingested, an error will be |
| // returned. |
| func (c *TensorboardClient) WriteTensorboardRunData(ctx context.Context, req *aiplatformpb.WriteTensorboardRunDataRequest, opts ...gax.CallOption) (*aiplatformpb.WriteTensorboardRunDataResponse, error) { |
| return c.internalClient.WriteTensorboardRunData(ctx, req, opts...) |
| } |
| |
| // ExportTensorboardTimeSeriesData exports a TensorboardTimeSeries’ data. Data is returned in paginated |
| // responses. |
| func (c *TensorboardClient) ExportTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.ExportTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) *TimeSeriesDataPointIterator { |
| return c.internalClient.ExportTensorboardTimeSeriesData(ctx, req, opts...) |
| } |
| |
| // tensorboardGRPCClient is a client for interacting with Vertex AI API over gRPC transport. |
| // |
| // Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls. |
| type tensorboardGRPCClient struct { |
| // Connection pool of gRPC connections to the service. |
| connPool gtransport.ConnPool |
| |
| // flag to opt out of default deadlines via GOOGLE_API_GO_EXPERIMENTAL_DISABLE_DEFAULT_DEADLINE |
| disableDeadlines bool |
| |
| // Points back to the CallOptions field of the containing TensorboardClient |
| CallOptions **TensorboardCallOptions |
| |
| // The gRPC API client. |
| tensorboardClient aiplatformpb.TensorboardServiceClient |
| |
| // LROClient is used internally to handle long-running operations. |
| // It is exposed so that its CallOptions can be modified if required. |
| // Users should not Close this client. |
| LROClient **lroauto.OperationsClient |
| |
| // The x-goog-* metadata to be sent with each request. |
| xGoogMetadata metadata.MD |
| } |
| |
| // NewTensorboardClient creates a new tensorboard service client based on gRPC. |
| // The returned client must be Closed when it is done being used to clean up its underlying connections. |
| // |
| // TensorboardService |
| func NewTensorboardClient(ctx context.Context, opts ...option.ClientOption) (*TensorboardClient, error) { |
| clientOpts := defaultTensorboardGRPCClientOptions() |
| if newTensorboardClientHook != nil { |
| hookOpts, err := newTensorboardClientHook(ctx, clientHookParams{}) |
| if err != nil { |
| return nil, err |
| } |
| clientOpts = append(clientOpts, hookOpts...) |
| } |
| |
| disableDeadlines, err := checkDisableDeadlines() |
| if err != nil { |
| return nil, err |
| } |
| |
| connPool, err := gtransport.DialPool(ctx, append(clientOpts, opts...)...) |
| if err != nil { |
| return nil, err |
| } |
| client := TensorboardClient{CallOptions: defaultTensorboardCallOptions()} |
| |
| c := &tensorboardGRPCClient{ |
| connPool: connPool, |
| disableDeadlines: disableDeadlines, |
| tensorboardClient: aiplatformpb.NewTensorboardServiceClient(connPool), |
| CallOptions: &client.CallOptions, |
| } |
| c.setGoogleClientInfo() |
| |
| client.internalClient = c |
| |
| client.LROClient, err = lroauto.NewOperationsClient(ctx, gtransport.WithConnPool(connPool)) |
| if err != nil { |
| // This error "should not happen", since we are just reusing old connection pool |
| // and never actually need to dial. |
| // If this does happen, we could leak connp. However, we cannot close conn: |
| // If the user invoked the constructor with option.WithGRPCConn, |
| // we would close a connection that's still in use. |
| // TODO: investigate error conditions. |
| return nil, err |
| } |
| c.LROClient = &client.LROClient |
| return &client, nil |
| } |
| |
| // Connection returns a connection to the API service. |
| // |
| // Deprecated. |
| func (c *tensorboardGRPCClient) Connection() *grpc.ClientConn { |
| return c.connPool.Conn() |
| } |
| |
| // setGoogleClientInfo sets the name and version of the application in |
| // the `x-goog-api-client` header passed on each request. Intended for |
| // use by Google-written clients. |
| func (c *tensorboardGRPCClient) setGoogleClientInfo(keyval ...string) { |
| kv := append([]string{"gl-go", versionGo()}, keyval...) |
| kv = append(kv, "gapic", getVersionClient(), "gax", gax.Version, "grpc", grpc.Version) |
| c.xGoogMetadata = metadata.Pairs("x-goog-api-client", gax.XGoogHeader(kv...)) |
| } |
| |
| // Close closes the connection to the API service. The user should invoke this when |
| // the client is no longer required. |
| func (c *tensorboardGRPCClient) Close() error { |
| return c.connPool.Close() |
| } |
| |
| func (c *tensorboardGRPCClient) CreateTensorboard(ctx context.Context, req *aiplatformpb.CreateTensorboardRequest, opts ...gax.CallOption) (*CreateTensorboardOperation, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).CreateTensorboard[0:len((*c.CallOptions).CreateTensorboard):len((*c.CallOptions).CreateTensorboard)], opts...) |
| var resp *longrunningpb.Operation |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.CreateTensorboard(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return &CreateTensorboardOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, resp), |
| }, nil |
| } |
| |
| func (c *tensorboardGRPCClient) GetTensorboard(ctx context.Context, req *aiplatformpb.GetTensorboardRequest, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).GetTensorboard[0:len((*c.CallOptions).GetTensorboard):len((*c.CallOptions).GetTensorboard)], opts...) |
| var resp *aiplatformpb.Tensorboard |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.GetTensorboard(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) UpdateTensorboard(ctx context.Context, req *aiplatformpb.UpdateTensorboardRequest, opts ...gax.CallOption) (*UpdateTensorboardOperation, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard.name", url.QueryEscape(req.GetTensorboard().GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).UpdateTensorboard[0:len((*c.CallOptions).UpdateTensorboard):len((*c.CallOptions).UpdateTensorboard)], opts...) |
| var resp *longrunningpb.Operation |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.UpdateTensorboard(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return &UpdateTensorboardOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, resp), |
| }, nil |
| } |
| |
| func (c *tensorboardGRPCClient) ListTensorboards(ctx context.Context, req *aiplatformpb.ListTensorboardsRequest, opts ...gax.CallOption) *TensorboardIterator { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).ListTensorboards[0:len((*c.CallOptions).ListTensorboards):len((*c.CallOptions).ListTensorboards)], opts...) |
| it := &TensorboardIterator{} |
| req = proto.Clone(req).(*aiplatformpb.ListTensorboardsRequest) |
| it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.Tensorboard, string, error) { |
| resp := &aiplatformpb.ListTensorboardsResponse{} |
| if pageToken != "" { |
| req.PageToken = pageToken |
| } |
| if pageSize > math.MaxInt32 { |
| req.PageSize = math.MaxInt32 |
| } else if pageSize != 0 { |
| req.PageSize = int32(pageSize) |
| } |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.ListTensorboards(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, "", err |
| } |
| |
| it.Response = resp |
| return resp.GetTensorboards(), resp.GetNextPageToken(), nil |
| } |
| fetch := func(pageSize int, pageToken string) (string, error) { |
| items, nextPageToken, err := it.InternalFetch(pageSize, pageToken) |
| if err != nil { |
| return "", err |
| } |
| it.items = append(it.items, items...) |
| return nextPageToken, nil |
| } |
| |
| it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf) |
| it.pageInfo.MaxSize = int(req.GetPageSize()) |
| it.pageInfo.Token = req.GetPageToken() |
| |
| return it |
| } |
| |
| func (c *tensorboardGRPCClient) DeleteTensorboard(ctx context.Context, req *aiplatformpb.DeleteTensorboardRequest, opts ...gax.CallOption) (*DeleteTensorboardOperation, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).DeleteTensorboard[0:len((*c.CallOptions).DeleteTensorboard):len((*c.CallOptions).DeleteTensorboard)], opts...) |
| var resp *longrunningpb.Operation |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.DeleteTensorboard(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return &DeleteTensorboardOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, resp), |
| }, nil |
| } |
| |
| func (c *tensorboardGRPCClient) CreateTensorboardExperiment(ctx context.Context, req *aiplatformpb.CreateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).CreateTensorboardExperiment[0:len((*c.CallOptions).CreateTensorboardExperiment):len((*c.CallOptions).CreateTensorboardExperiment)], opts...) |
| var resp *aiplatformpb.TensorboardExperiment |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.CreateTensorboardExperiment(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) GetTensorboardExperiment(ctx context.Context, req *aiplatformpb.GetTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).GetTensorboardExperiment[0:len((*c.CallOptions).GetTensorboardExperiment):len((*c.CallOptions).GetTensorboardExperiment)], opts...) |
| var resp *aiplatformpb.TensorboardExperiment |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.GetTensorboardExperiment(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) UpdateTensorboardExperiment(ctx context.Context, req *aiplatformpb.UpdateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_experiment.name", url.QueryEscape(req.GetTensorboardExperiment().GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).UpdateTensorboardExperiment[0:len((*c.CallOptions).UpdateTensorboardExperiment):len((*c.CallOptions).UpdateTensorboardExperiment)], opts...) |
| var resp *aiplatformpb.TensorboardExperiment |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.UpdateTensorboardExperiment(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) ListTensorboardExperiments(ctx context.Context, req *aiplatformpb.ListTensorboardExperimentsRequest, opts ...gax.CallOption) *TensorboardExperimentIterator { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).ListTensorboardExperiments[0:len((*c.CallOptions).ListTensorboardExperiments):len((*c.CallOptions).ListTensorboardExperiments)], opts...) |
| it := &TensorboardExperimentIterator{} |
| req = proto.Clone(req).(*aiplatformpb.ListTensorboardExperimentsRequest) |
| it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.TensorboardExperiment, string, error) { |
| resp := &aiplatformpb.ListTensorboardExperimentsResponse{} |
| if pageToken != "" { |
| req.PageToken = pageToken |
| } |
| if pageSize > math.MaxInt32 { |
| req.PageSize = math.MaxInt32 |
| } else if pageSize != 0 { |
| req.PageSize = int32(pageSize) |
| } |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.ListTensorboardExperiments(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, "", err |
| } |
| |
| it.Response = resp |
| return resp.GetTensorboardExperiments(), resp.GetNextPageToken(), nil |
| } |
| fetch := func(pageSize int, pageToken string) (string, error) { |
| items, nextPageToken, err := it.InternalFetch(pageSize, pageToken) |
| if err != nil { |
| return "", err |
| } |
| it.items = append(it.items, items...) |
| return nextPageToken, nil |
| } |
| |
| it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf) |
| it.pageInfo.MaxSize = int(req.GetPageSize()) |
| it.pageInfo.Token = req.GetPageToken() |
| |
| return it |
| } |
| |
| func (c *tensorboardGRPCClient) DeleteTensorboardExperiment(ctx context.Context, req *aiplatformpb.DeleteTensorboardExperimentRequest, opts ...gax.CallOption) (*DeleteTensorboardExperimentOperation, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).DeleteTensorboardExperiment[0:len((*c.CallOptions).DeleteTensorboardExperiment):len((*c.CallOptions).DeleteTensorboardExperiment)], opts...) |
| var resp *longrunningpb.Operation |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.DeleteTensorboardExperiment(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return &DeleteTensorboardExperimentOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, resp), |
| }, nil |
| } |
| |
| func (c *tensorboardGRPCClient) CreateTensorboardRun(ctx context.Context, req *aiplatformpb.CreateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).CreateTensorboardRun[0:len((*c.CallOptions).CreateTensorboardRun):len((*c.CallOptions).CreateTensorboardRun)], opts...) |
| var resp *aiplatformpb.TensorboardRun |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.CreateTensorboardRun(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) BatchCreateTensorboardRuns(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardRunsRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardRunsResponse, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).BatchCreateTensorboardRuns[0:len((*c.CallOptions).BatchCreateTensorboardRuns):len((*c.CallOptions).BatchCreateTensorboardRuns)], opts...) |
| var resp *aiplatformpb.BatchCreateTensorboardRunsResponse |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.BatchCreateTensorboardRuns(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) GetTensorboardRun(ctx context.Context, req *aiplatformpb.GetTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).GetTensorboardRun[0:len((*c.CallOptions).GetTensorboardRun):len((*c.CallOptions).GetTensorboardRun)], opts...) |
| var resp *aiplatformpb.TensorboardRun |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.GetTensorboardRun(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) UpdateTensorboardRun(ctx context.Context, req *aiplatformpb.UpdateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_run.name", url.QueryEscape(req.GetTensorboardRun().GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).UpdateTensorboardRun[0:len((*c.CallOptions).UpdateTensorboardRun):len((*c.CallOptions).UpdateTensorboardRun)], opts...) |
| var resp *aiplatformpb.TensorboardRun |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.UpdateTensorboardRun(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) ListTensorboardRuns(ctx context.Context, req *aiplatformpb.ListTensorboardRunsRequest, opts ...gax.CallOption) *TensorboardRunIterator { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).ListTensorboardRuns[0:len((*c.CallOptions).ListTensorboardRuns):len((*c.CallOptions).ListTensorboardRuns)], opts...) |
| it := &TensorboardRunIterator{} |
| req = proto.Clone(req).(*aiplatformpb.ListTensorboardRunsRequest) |
| it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.TensorboardRun, string, error) { |
| resp := &aiplatformpb.ListTensorboardRunsResponse{} |
| if pageToken != "" { |
| req.PageToken = pageToken |
| } |
| if pageSize > math.MaxInt32 { |
| req.PageSize = math.MaxInt32 |
| } else if pageSize != 0 { |
| req.PageSize = int32(pageSize) |
| } |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.ListTensorboardRuns(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, "", err |
| } |
| |
| it.Response = resp |
| return resp.GetTensorboardRuns(), resp.GetNextPageToken(), nil |
| } |
| fetch := func(pageSize int, pageToken string) (string, error) { |
| items, nextPageToken, err := it.InternalFetch(pageSize, pageToken) |
| if err != nil { |
| return "", err |
| } |
| it.items = append(it.items, items...) |
| return nextPageToken, nil |
| } |
| |
| it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf) |
| it.pageInfo.MaxSize = int(req.GetPageSize()) |
| it.pageInfo.Token = req.GetPageToken() |
| |
| return it |
| } |
| |
| func (c *tensorboardGRPCClient) DeleteTensorboardRun(ctx context.Context, req *aiplatformpb.DeleteTensorboardRunRequest, opts ...gax.CallOption) (*DeleteTensorboardRunOperation, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).DeleteTensorboardRun[0:len((*c.CallOptions).DeleteTensorboardRun):len((*c.CallOptions).DeleteTensorboardRun)], opts...) |
| var resp *longrunningpb.Operation |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.DeleteTensorboardRun(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return &DeleteTensorboardRunOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, resp), |
| }, nil |
| } |
| |
| func (c *tensorboardGRPCClient) BatchCreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardTimeSeriesResponse, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).BatchCreateTensorboardTimeSeries[0:len((*c.CallOptions).BatchCreateTensorboardTimeSeries):len((*c.CallOptions).BatchCreateTensorboardTimeSeries)], opts...) |
| var resp *aiplatformpb.BatchCreateTensorboardTimeSeriesResponse |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.BatchCreateTensorboardTimeSeries(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) CreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.CreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).CreateTensorboardTimeSeries[0:len((*c.CallOptions).CreateTensorboardTimeSeries):len((*c.CallOptions).CreateTensorboardTimeSeries)], opts...) |
| var resp *aiplatformpb.TensorboardTimeSeries |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.CreateTensorboardTimeSeries(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) GetTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.GetTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).GetTensorboardTimeSeries[0:len((*c.CallOptions).GetTensorboardTimeSeries):len((*c.CallOptions).GetTensorboardTimeSeries)], opts...) |
| var resp *aiplatformpb.TensorboardTimeSeries |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.GetTensorboardTimeSeries(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) UpdateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.UpdateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_time_series.name", url.QueryEscape(req.GetTensorboardTimeSeries().GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).UpdateTensorboardTimeSeries[0:len((*c.CallOptions).UpdateTensorboardTimeSeries):len((*c.CallOptions).UpdateTensorboardTimeSeries)], opts...) |
| var resp *aiplatformpb.TensorboardTimeSeries |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.UpdateTensorboardTimeSeries(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) ListTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.ListTensorboardTimeSeriesRequest, opts ...gax.CallOption) *TensorboardTimeSeriesIterator { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).ListTensorboardTimeSeries[0:len((*c.CallOptions).ListTensorboardTimeSeries):len((*c.CallOptions).ListTensorboardTimeSeries)], opts...) |
| it := &TensorboardTimeSeriesIterator{} |
| req = proto.Clone(req).(*aiplatformpb.ListTensorboardTimeSeriesRequest) |
| it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.TensorboardTimeSeries, string, error) { |
| resp := &aiplatformpb.ListTensorboardTimeSeriesResponse{} |
| if pageToken != "" { |
| req.PageToken = pageToken |
| } |
| if pageSize > math.MaxInt32 { |
| req.PageSize = math.MaxInt32 |
| } else if pageSize != 0 { |
| req.PageSize = int32(pageSize) |
| } |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.ListTensorboardTimeSeries(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, "", err |
| } |
| |
| it.Response = resp |
| return resp.GetTensorboardTimeSeries(), resp.GetNextPageToken(), nil |
| } |
| fetch := func(pageSize int, pageToken string) (string, error) { |
| items, nextPageToken, err := it.InternalFetch(pageSize, pageToken) |
| if err != nil { |
| return "", err |
| } |
| it.items = append(it.items, items...) |
| return nextPageToken, nil |
| } |
| |
| it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf) |
| it.pageInfo.MaxSize = int(req.GetPageSize()) |
| it.pageInfo.Token = req.GetPageToken() |
| |
| return it |
| } |
| |
| func (c *tensorboardGRPCClient) DeleteTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.DeleteTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*DeleteTensorboardTimeSeriesOperation, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).DeleteTensorboardTimeSeries[0:len((*c.CallOptions).DeleteTensorboardTimeSeries):len((*c.CallOptions).DeleteTensorboardTimeSeries)], opts...) |
| var resp *longrunningpb.Operation |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.DeleteTensorboardTimeSeries(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return &DeleteTensorboardTimeSeriesOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, resp), |
| }, nil |
| } |
| |
| func (c *tensorboardGRPCClient) BatchReadTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.BatchReadTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) (*aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard", url.QueryEscape(req.GetTensorboard()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).BatchReadTensorboardTimeSeriesData[0:len((*c.CallOptions).BatchReadTensorboardTimeSeriesData):len((*c.CallOptions).BatchReadTensorboardTimeSeriesData)], opts...) |
| var resp *aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.BatchReadTensorboardTimeSeriesData(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) ReadTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.ReadTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) (*aiplatformpb.ReadTensorboardTimeSeriesDataResponse, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_time_series", url.QueryEscape(req.GetTensorboardTimeSeries()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).ReadTensorboardTimeSeriesData[0:len((*c.CallOptions).ReadTensorboardTimeSeriesData):len((*c.CallOptions).ReadTensorboardTimeSeriesData)], opts...) |
| var resp *aiplatformpb.ReadTensorboardTimeSeriesDataResponse |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.ReadTensorboardTimeSeriesData(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) ReadTensorboardBlobData(ctx context.Context, req *aiplatformpb.ReadTensorboardBlobDataRequest, opts ...gax.CallOption) (aiplatformpb.TensorboardService_ReadTensorboardBlobDataClient, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "time_series", url.QueryEscape(req.GetTimeSeries()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| var resp aiplatformpb.TensorboardService_ReadTensorboardBlobDataClient |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.ReadTensorboardBlobData(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) WriteTensorboardExperimentData(ctx context.Context, req *aiplatformpb.WriteTensorboardExperimentDataRequest, opts ...gax.CallOption) (*aiplatformpb.WriteTensorboardExperimentDataResponse, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_experiment", url.QueryEscape(req.GetTensorboardExperiment()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).WriteTensorboardExperimentData[0:len((*c.CallOptions).WriteTensorboardExperimentData):len((*c.CallOptions).WriteTensorboardExperimentData)], opts...) |
| var resp *aiplatformpb.WriteTensorboardExperimentDataResponse |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.WriteTensorboardExperimentData(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) WriteTensorboardRunData(ctx context.Context, req *aiplatformpb.WriteTensorboardRunDataRequest, opts ...gax.CallOption) (*aiplatformpb.WriteTensorboardRunDataResponse, error) { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_run", url.QueryEscape(req.GetTensorboardRun()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).WriteTensorboardRunData[0:len((*c.CallOptions).WriteTensorboardRunData):len((*c.CallOptions).WriteTensorboardRunData)], opts...) |
| var resp *aiplatformpb.WriteTensorboardRunDataResponse |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.WriteTensorboardRunData(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return resp, nil |
| } |
| |
| func (c *tensorboardGRPCClient) ExportTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.ExportTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) *TimeSeriesDataPointIterator { |
| md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_time_series", url.QueryEscape(req.GetTensorboardTimeSeries()))) |
| |
| ctx = insertMetadata(ctx, c.xGoogMetadata, md) |
| opts = append((*c.CallOptions).ExportTensorboardTimeSeriesData[0:len((*c.CallOptions).ExportTensorboardTimeSeriesData):len((*c.CallOptions).ExportTensorboardTimeSeriesData)], opts...) |
| it := &TimeSeriesDataPointIterator{} |
| req = proto.Clone(req).(*aiplatformpb.ExportTensorboardTimeSeriesDataRequest) |
| it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.TimeSeriesDataPoint, string, error) { |
| resp := &aiplatformpb.ExportTensorboardTimeSeriesDataResponse{} |
| if pageToken != "" { |
| req.PageToken = pageToken |
| } |
| if pageSize > math.MaxInt32 { |
| req.PageSize = math.MaxInt32 |
| } else if pageSize != 0 { |
| req.PageSize = int32(pageSize) |
| } |
| err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { |
| var err error |
| resp, err = c.tensorboardClient.ExportTensorboardTimeSeriesData(ctx, req, settings.GRPC...) |
| return err |
| }, opts...) |
| if err != nil { |
| return nil, "", err |
| } |
| |
| it.Response = resp |
| return resp.GetTimeSeriesDataPoints(), resp.GetNextPageToken(), nil |
| } |
| fetch := func(pageSize int, pageToken string) (string, error) { |
| items, nextPageToken, err := it.InternalFetch(pageSize, pageToken) |
| if err != nil { |
| return "", err |
| } |
| it.items = append(it.items, items...) |
| return nextPageToken, nil |
| } |
| |
| it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf) |
| it.pageInfo.MaxSize = int(req.GetPageSize()) |
| it.pageInfo.Token = req.GetPageToken() |
| |
| return it |
| } |
| |
| // CreateTensorboardOperation manages a long-running operation from CreateTensorboard. |
| type CreateTensorboardOperation struct { |
| lro *longrunning.Operation |
| } |
| |
| // CreateTensorboardOperation returns a new CreateTensorboardOperation from a given name. |
| // The name must be that of a previously created CreateTensorboardOperation, possibly from a different process. |
| func (c *tensorboardGRPCClient) CreateTensorboardOperation(name string) *CreateTensorboardOperation { |
| return &CreateTensorboardOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}), |
| } |
| } |
| |
| // Wait blocks until the long-running operation is completed, returning the response and any errors encountered. |
| // |
| // See documentation of Poll for error-handling information. |
| func (op *CreateTensorboardOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) { |
| var resp aiplatformpb.Tensorboard |
| if err := op.lro.WaitWithInterval(ctx, &resp, time.Minute, opts...); err != nil { |
| return nil, err |
| } |
| return &resp, nil |
| } |
| |
| // Poll fetches the latest state of the long-running operation. |
| // |
| // Poll also fetches the latest metadata, which can be retrieved by Metadata. |
| // |
| // If Poll fails, the error is returned and op is unmodified. If Poll succeeds and |
| // the operation has completed with failure, the error is returned and op.Done will return true. |
| // If Poll succeeds and the operation has completed successfully, |
| // op.Done will return true, and the response of the operation is returned. |
| // If Poll succeeds and the operation has not completed, the returned response and error are both nil. |
| func (op *CreateTensorboardOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) { |
| var resp aiplatformpb.Tensorboard |
| if err := op.lro.Poll(ctx, &resp, opts...); err != nil { |
| return nil, err |
| } |
| if !op.Done() { |
| return nil, nil |
| } |
| return &resp, nil |
| } |
| |
| // Metadata returns metadata associated with the long-running operation. |
| // Metadata itself does not contact the server, but Poll does. |
| // To get the latest metadata, call this method after a successful call to Poll. |
| // If the metadata is not available, the returned metadata and error are both nil. |
| func (op *CreateTensorboardOperation) Metadata() (*aiplatformpb.CreateTensorboardOperationMetadata, error) { |
| var meta aiplatformpb.CreateTensorboardOperationMetadata |
| if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata { |
| return nil, nil |
| } else if err != nil { |
| return nil, err |
| } |
| return &meta, nil |
| } |
| |
| // Done reports whether the long-running operation has completed. |
| func (op *CreateTensorboardOperation) Done() bool { |
| return op.lro.Done() |
| } |
| |
| // Name returns the name of the long-running operation. |
| // The name is assigned by the server and is unique within the service from which the operation is created. |
| func (op *CreateTensorboardOperation) Name() string { |
| return op.lro.Name() |
| } |
| |
| // DeleteTensorboardOperation manages a long-running operation from DeleteTensorboard. |
| type DeleteTensorboardOperation struct { |
| lro *longrunning.Operation |
| } |
| |
| // DeleteTensorboardOperation returns a new DeleteTensorboardOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardOperation, possibly from a different process. |
| func (c *tensorboardGRPCClient) DeleteTensorboardOperation(name string) *DeleteTensorboardOperation { |
| return &DeleteTensorboardOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}), |
| } |
| } |
| |
| // Wait blocks until the long-running operation is completed, returning the response and any errors encountered. |
| // |
| // See documentation of Poll for error-handling information. |
| func (op *DeleteTensorboardOperation) Wait(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.WaitWithInterval(ctx, nil, time.Minute, opts...) |
| } |
| |
| // Poll fetches the latest state of the long-running operation. |
| // |
| // Poll also fetches the latest metadata, which can be retrieved by Metadata. |
| // |
| // If Poll fails, the error is returned and op is unmodified. If Poll succeeds and |
| // the operation has completed with failure, the error is returned and op.Done will return true. |
| // If Poll succeeds and the operation has completed successfully, |
| // op.Done will return true, and the response of the operation is returned. |
| // If Poll succeeds and the operation has not completed, the returned response and error are both nil. |
| func (op *DeleteTensorboardOperation) Poll(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.Poll(ctx, nil, opts...) |
| } |
| |
| // Metadata returns metadata associated with the long-running operation. |
| // Metadata itself does not contact the server, but Poll does. |
| // To get the latest metadata, call this method after a successful call to Poll. |
| // If the metadata is not available, the returned metadata and error are both nil. |
| func (op *DeleteTensorboardOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error) { |
| var meta aiplatformpb.DeleteOperationMetadata |
| if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata { |
| return nil, nil |
| } else if err != nil { |
| return nil, err |
| } |
| return &meta, nil |
| } |
| |
| // Done reports whether the long-running operation has completed. |
| func (op *DeleteTensorboardOperation) Done() bool { |
| return op.lro.Done() |
| } |
| |
| // Name returns the name of the long-running operation. |
| // The name is assigned by the server and is unique within the service from which the operation is created. |
| func (op *DeleteTensorboardOperation) Name() string { |
| return op.lro.Name() |
| } |
| |
| // DeleteTensorboardExperimentOperation manages a long-running operation from DeleteTensorboardExperiment. |
| type DeleteTensorboardExperimentOperation struct { |
| lro *longrunning.Operation |
| } |
| |
| // DeleteTensorboardExperimentOperation returns a new DeleteTensorboardExperimentOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardExperimentOperation, possibly from a different process. |
| func (c *tensorboardGRPCClient) DeleteTensorboardExperimentOperation(name string) *DeleteTensorboardExperimentOperation { |
| return &DeleteTensorboardExperimentOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}), |
| } |
| } |
| |
| // Wait blocks until the long-running operation is completed, returning the response and any errors encountered. |
| // |
| // See documentation of Poll for error-handling information. |
| func (op *DeleteTensorboardExperimentOperation) Wait(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.WaitWithInterval(ctx, nil, time.Minute, opts...) |
| } |
| |
| // Poll fetches the latest state of the long-running operation. |
| // |
| // Poll also fetches the latest metadata, which can be retrieved by Metadata. |
| // |
| // If Poll fails, the error is returned and op is unmodified. If Poll succeeds and |
| // the operation has completed with failure, the error is returned and op.Done will return true. |
| // If Poll succeeds and the operation has completed successfully, |
| // op.Done will return true, and the response of the operation is returned. |
| // If Poll succeeds and the operation has not completed, the returned response and error are both nil. |
| func (op *DeleteTensorboardExperimentOperation) Poll(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.Poll(ctx, nil, opts...) |
| } |
| |
| // Metadata returns metadata associated with the long-running operation. |
| // Metadata itself does not contact the server, but Poll does. |
| // To get the latest metadata, call this method after a successful call to Poll. |
| // If the metadata is not available, the returned metadata and error are both nil. |
| func (op *DeleteTensorboardExperimentOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error) { |
| var meta aiplatformpb.DeleteOperationMetadata |
| if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata { |
| return nil, nil |
| } else if err != nil { |
| return nil, err |
| } |
| return &meta, nil |
| } |
| |
| // Done reports whether the long-running operation has completed. |
| func (op *DeleteTensorboardExperimentOperation) Done() bool { |
| return op.lro.Done() |
| } |
| |
| // Name returns the name of the long-running operation. |
| // The name is assigned by the server and is unique within the service from which the operation is created. |
| func (op *DeleteTensorboardExperimentOperation) Name() string { |
| return op.lro.Name() |
| } |
| |
| // DeleteTensorboardRunOperation manages a long-running operation from DeleteTensorboardRun. |
| type DeleteTensorboardRunOperation struct { |
| lro *longrunning.Operation |
| } |
| |
| // DeleteTensorboardRunOperation returns a new DeleteTensorboardRunOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardRunOperation, possibly from a different process. |
| func (c *tensorboardGRPCClient) DeleteTensorboardRunOperation(name string) *DeleteTensorboardRunOperation { |
| return &DeleteTensorboardRunOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}), |
| } |
| } |
| |
| // Wait blocks until the long-running operation is completed, returning the response and any errors encountered. |
| // |
| // See documentation of Poll for error-handling information. |
| func (op *DeleteTensorboardRunOperation) Wait(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.WaitWithInterval(ctx, nil, time.Minute, opts...) |
| } |
| |
| // Poll fetches the latest state of the long-running operation. |
| // |
| // Poll also fetches the latest metadata, which can be retrieved by Metadata. |
| // |
| // If Poll fails, the error is returned and op is unmodified. If Poll succeeds and |
| // the operation has completed with failure, the error is returned and op.Done will return true. |
| // If Poll succeeds and the operation has completed successfully, |
| // op.Done will return true, and the response of the operation is returned. |
| // If Poll succeeds and the operation has not completed, the returned response and error are both nil. |
| func (op *DeleteTensorboardRunOperation) Poll(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.Poll(ctx, nil, opts...) |
| } |
| |
| // Metadata returns metadata associated with the long-running operation. |
| // Metadata itself does not contact the server, but Poll does. |
| // To get the latest metadata, call this method after a successful call to Poll. |
| // If the metadata is not available, the returned metadata and error are both nil. |
| func (op *DeleteTensorboardRunOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error) { |
| var meta aiplatformpb.DeleteOperationMetadata |
| if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata { |
| return nil, nil |
| } else if err != nil { |
| return nil, err |
| } |
| return &meta, nil |
| } |
| |
| // Done reports whether the long-running operation has completed. |
| func (op *DeleteTensorboardRunOperation) Done() bool { |
| return op.lro.Done() |
| } |
| |
| // Name returns the name of the long-running operation. |
| // The name is assigned by the server and is unique within the service from which the operation is created. |
| func (op *DeleteTensorboardRunOperation) Name() string { |
| return op.lro.Name() |
| } |
| |
| // DeleteTensorboardTimeSeriesOperation manages a long-running operation from DeleteTensorboardTimeSeries. |
| type DeleteTensorboardTimeSeriesOperation struct { |
| lro *longrunning.Operation |
| } |
| |
| // DeleteTensorboardTimeSeriesOperation returns a new DeleteTensorboardTimeSeriesOperation from a given name. |
| // The name must be that of a previously created DeleteTensorboardTimeSeriesOperation, possibly from a different process. |
| func (c *tensorboardGRPCClient) DeleteTensorboardTimeSeriesOperation(name string) *DeleteTensorboardTimeSeriesOperation { |
| return &DeleteTensorboardTimeSeriesOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}), |
| } |
| } |
| |
| // Wait blocks until the long-running operation is completed, returning the response and any errors encountered. |
| // |
| // See documentation of Poll for error-handling information. |
| func (op *DeleteTensorboardTimeSeriesOperation) Wait(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.WaitWithInterval(ctx, nil, time.Minute, opts...) |
| } |
| |
| // Poll fetches the latest state of the long-running operation. |
| // |
| // Poll also fetches the latest metadata, which can be retrieved by Metadata. |
| // |
| // If Poll fails, the error is returned and op is unmodified. If Poll succeeds and |
| // the operation has completed with failure, the error is returned and op.Done will return true. |
| // If Poll succeeds and the operation has completed successfully, |
| // op.Done will return true, and the response of the operation is returned. |
| // If Poll succeeds and the operation has not completed, the returned response and error are both nil. |
| func (op *DeleteTensorboardTimeSeriesOperation) Poll(ctx context.Context, opts ...gax.CallOption) error { |
| return op.lro.Poll(ctx, nil, opts...) |
| } |
| |
| // Metadata returns metadata associated with the long-running operation. |
| // Metadata itself does not contact the server, but Poll does. |
| // To get the latest metadata, call this method after a successful call to Poll. |
| // If the metadata is not available, the returned metadata and error are both nil. |
| func (op *DeleteTensorboardTimeSeriesOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error) { |
| var meta aiplatformpb.DeleteOperationMetadata |
| if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata { |
| return nil, nil |
| } else if err != nil { |
| return nil, err |
| } |
| return &meta, nil |
| } |
| |
| // Done reports whether the long-running operation has completed. |
| func (op *DeleteTensorboardTimeSeriesOperation) Done() bool { |
| return op.lro.Done() |
| } |
| |
| // Name returns the name of the long-running operation. |
| // The name is assigned by the server and is unique within the service from which the operation is created. |
| func (op *DeleteTensorboardTimeSeriesOperation) Name() string { |
| return op.lro.Name() |
| } |
| |
| // UpdateTensorboardOperation manages a long-running operation from UpdateTensorboard. |
| type UpdateTensorboardOperation struct { |
| lro *longrunning.Operation |
| } |
| |
| // UpdateTensorboardOperation returns a new UpdateTensorboardOperation from a given name. |
| // The name must be that of a previously created UpdateTensorboardOperation, possibly from a different process. |
| func (c *tensorboardGRPCClient) UpdateTensorboardOperation(name string) *UpdateTensorboardOperation { |
| return &UpdateTensorboardOperation{ |
| lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}), |
| } |
| } |
| |
| // Wait blocks until the long-running operation is completed, returning the response and any errors encountered. |
| // |
| // See documentation of Poll for error-handling information. |
| func (op *UpdateTensorboardOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) { |
| var resp aiplatformpb.Tensorboard |
| if err := op.lro.WaitWithInterval(ctx, &resp, time.Minute, opts...); err != nil { |
| return nil, err |
| } |
| return &resp, nil |
| } |
| |
| // Poll fetches the latest state of the long-running operation. |
| // |
| // Poll also fetches the latest metadata, which can be retrieved by Metadata. |
| // |
| // If Poll fails, the error is returned and op is unmodified. If Poll succeeds and |
| // the operation has completed with failure, the error is returned and op.Done will return true. |
| // If Poll succeeds and the operation has completed successfully, |
| // op.Done will return true, and the response of the operation is returned. |
| // If Poll succeeds and the operation has not completed, the returned response and error are both nil. |
| func (op *UpdateTensorboardOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) { |
| var resp aiplatformpb.Tensorboard |
| if err := op.lro.Poll(ctx, &resp, opts...); err != nil { |
| return nil, err |
| } |
| if !op.Done() { |
| return nil, nil |
| } |
| return &resp, nil |
| } |
| |
| // Metadata returns metadata associated with the long-running operation. |
| // Metadata itself does not contact the server, but Poll does. |
| // To get the latest metadata, call this method after a successful call to Poll. |
| // If the metadata is not available, the returned metadata and error are both nil. |
| func (op *UpdateTensorboardOperation) Metadata() (*aiplatformpb.UpdateTensorboardOperationMetadata, error) { |
| var meta aiplatformpb.UpdateTensorboardOperationMetadata |
| if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata { |
| return nil, nil |
| } else if err != nil { |
| return nil, err |
| } |
| return &meta, nil |
| } |
| |
| // Done reports whether the long-running operation has completed. |
| func (op *UpdateTensorboardOperation) Done() bool { |
| return op.lro.Done() |
| } |
| |
| // Name returns the name of the long-running operation. |
| // The name is assigned by the server and is unique within the service from which the operation is created. |
| func (op *UpdateTensorboardOperation) Name() string { |
| return op.lro.Name() |
| } |
| |
| // TensorboardExperimentIterator manages a stream of *aiplatformpb.TensorboardExperiment. |
| type TensorboardExperimentIterator struct { |
| items []*aiplatformpb.TensorboardExperiment |
| pageInfo *iterator.PageInfo |
| nextFunc func() error |
| |
| // Response is the raw response for the current page. |
| // It must be cast to the RPC response type. |
| // Calling Next() or InternalFetch() updates this value. |
| Response interface{} |
| |
| // InternalFetch is for use by the Google Cloud Libraries only. |
| // It is not part of the stable interface of this package. |
| // |
| // InternalFetch returns results from a single call to the underlying RPC. |
| // The number of results is no greater than pageSize. |
| // If there are no more results, nextPageToken is empty and err is nil. |
| InternalFetch func(pageSize int, pageToken string) (results []*aiplatformpb.TensorboardExperiment, nextPageToken string, err error) |
| } |
| |
| // PageInfo supports pagination. See the google.golang.org/api/iterator package for details. |
| func (it *TensorboardExperimentIterator) PageInfo() *iterator.PageInfo { |
| return it.pageInfo |
| } |
| |
| // Next returns the next result. Its second return value is iterator.Done if there are no more |
| // results. Once Next returns Done, all subsequent calls will return Done. |
| func (it *TensorboardExperimentIterator) Next() (*aiplatformpb.TensorboardExperiment, error) { |
| var item *aiplatformpb.TensorboardExperiment |
| if err := it.nextFunc(); err != nil { |
| return item, err |
| } |
| item = it.items[0] |
| it.items = it.items[1:] |
| return item, nil |
| } |
| |
| func (it *TensorboardExperimentIterator) bufLen() int { |
| return len(it.items) |
| } |
| |
| func (it *TensorboardExperimentIterator) takeBuf() interface{} { |
| b := it.items |
| it.items = nil |
| return b |
| } |
| |
| // TensorboardIterator manages a stream of *aiplatformpb.Tensorboard. |
| type TensorboardIterator struct { |
| items []*aiplatformpb.Tensorboard |
| pageInfo *iterator.PageInfo |
| nextFunc func() error |
| |
| // Response is the raw response for the current page. |
| // It must be cast to the RPC response type. |
| // Calling Next() or InternalFetch() updates this value. |
| Response interface{} |
| |
| // InternalFetch is for use by the Google Cloud Libraries only. |
| // It is not part of the stable interface of this package. |
| // |
| // InternalFetch returns results from a single call to the underlying RPC. |
| // The number of results is no greater than pageSize. |
| // If there are no more results, nextPageToken is empty and err is nil. |
| InternalFetch func(pageSize int, pageToken string) (results []*aiplatformpb.Tensorboard, nextPageToken string, err error) |
| } |
| |
| // PageInfo supports pagination. See the google.golang.org/api/iterator package for details. |
| func (it *TensorboardIterator) PageInfo() *iterator.PageInfo { |
| return it.pageInfo |
| } |
| |
| // Next returns the next result. Its second return value is iterator.Done if there are no more |
| // results. Once Next returns Done, all subsequent calls will return Done. |
| func (it *TensorboardIterator) Next() (*aiplatformpb.Tensorboard, error) { |
| var item *aiplatformpb.Tensorboard |
| if err := it.nextFunc(); err != nil { |
| return item, err |
| } |
| item = it.items[0] |
| it.items = it.items[1:] |
| return item, nil |
| } |
| |
| func (it *TensorboardIterator) bufLen() int { |
| return len(it.items) |
| } |
| |
| func (it *TensorboardIterator) takeBuf() interface{} { |
| b := it.items |
| it.items = nil |
| return b |
| } |
| |
| // TensorboardRunIterator manages a stream of *aiplatformpb.TensorboardRun. |
| type TensorboardRunIterator struct { |
| items []*aiplatformpb.TensorboardRun |
| pageInfo *iterator.PageInfo |
| nextFunc func() error |
| |
| // Response is the raw response for the current page. |
| // It must be cast to the RPC response type. |
| // Calling Next() or InternalFetch() updates this value. |
| Response interface{} |
| |
| // InternalFetch is for use by the Google Cloud Libraries only. |
| // It is not part of the stable interface of this package. |
| // |
| // InternalFetch returns results from a single call to the underlying RPC. |
| // The number of results is no greater than pageSize. |
| // If there are no more results, nextPageToken is empty and err is nil. |
| InternalFetch func(pageSize int, pageToken string) (results []*aiplatformpb.TensorboardRun, nextPageToken string, err error) |
| } |
| |
| // PageInfo supports pagination. See the google.golang.org/api/iterator package for details. |
| func (it *TensorboardRunIterator) PageInfo() *iterator.PageInfo { |
| return it.pageInfo |
| } |
| |
| // Next returns the next result. Its second return value is iterator.Done if there are no more |
| // results. Once Next returns Done, all subsequent calls will return Done. |
| func (it *TensorboardRunIterator) Next() (*aiplatformpb.TensorboardRun, error) { |
| var item *aiplatformpb.TensorboardRun |
| if err := it.nextFunc(); err != nil { |
| return item, err |
| } |
| item = it.items[0] |
| it.items = it.items[1:] |
| return item, nil |
| } |
| |
| func (it *TensorboardRunIterator) bufLen() int { |
| return len(it.items) |
| } |
| |
| func (it *TensorboardRunIterator) takeBuf() interface{} { |
| b := it.items |
| it.items = nil |
| return b |
| } |
| |
| // TensorboardTimeSeriesIterator manages a stream of *aiplatformpb.TensorboardTimeSeries. |
| type TensorboardTimeSeriesIterator struct { |
| items []*aiplatformpb.TensorboardTimeSeries |
| pageInfo *iterator.PageInfo |
| nextFunc func() error |
| |
| // Response is the raw response for the current page. |
| // It must be cast to the RPC response type. |
| // Calling Next() or InternalFetch() updates this value. |
| Response interface{} |
| |
| // InternalFetch is for use by the Google Cloud Libraries only. |
| // It is not part of the stable interface of this package. |
| // |
| // InternalFetch returns results from a single call to the underlying RPC. |
| // The number of results is no greater than pageSize. |
| // If there are no more results, nextPageToken is empty and err is nil. |
| InternalFetch func(pageSize int, pageToken string) (results []*aiplatformpb.TensorboardTimeSeries, nextPageToken string, err error) |
| } |
| |
| // PageInfo supports pagination. See the google.golang.org/api/iterator package for details. |
| func (it *TensorboardTimeSeriesIterator) PageInfo() *iterator.PageInfo { |
| return it.pageInfo |
| } |
| |
| // Next returns the next result. Its second return value is iterator.Done if there are no more |
| // results. Once Next returns Done, all subsequent calls will return Done. |
| func (it *TensorboardTimeSeriesIterator) Next() (*aiplatformpb.TensorboardTimeSeries, error) { |
| var item *aiplatformpb.TensorboardTimeSeries |
| if err := it.nextFunc(); err != nil { |
| return item, err |
| } |
| item = it.items[0] |
| it.items = it.items[1:] |
| return item, nil |
| } |
| |
| func (it *TensorboardTimeSeriesIterator) bufLen() int { |
| return len(it.items) |
| } |
| |
| func (it *TensorboardTimeSeriesIterator) takeBuf() interface{} { |
| b := it.items |
| it.items = nil |
| return b |
| } |
| |
| // TimeSeriesDataPointIterator manages a stream of *aiplatformpb.TimeSeriesDataPoint. |
| type TimeSeriesDataPointIterator struct { |
| items []*aiplatformpb.TimeSeriesDataPoint |
| pageInfo *iterator.PageInfo |
| nextFunc func() error |
| |
| // Response is the raw response for the current page. |
| // It must be cast to the RPC response type. |
| // Calling Next() or InternalFetch() updates this value. |
| Response interface{} |
| |
| // InternalFetch is for use by the Google Cloud Libraries only. |
| // It is not part of the stable interface of this package. |
| // |
| // InternalFetch returns results from a single call to the underlying RPC. |
| // The number of results is no greater than pageSize. |
| // If there are no more results, nextPageToken is empty and err is nil. |
| InternalFetch func(pageSize int, pageToken string) (results []*aiplatformpb.TimeSeriesDataPoint, nextPageToken string, err error) |
| } |
| |
| // PageInfo supports pagination. See the google.golang.org/api/iterator package for details. |
| func (it *TimeSeriesDataPointIterator) PageInfo() *iterator.PageInfo { |
| return it.pageInfo |
| } |
| |
| // Next returns the next result. Its second return value is iterator.Done if there are no more |
| // results. Once Next returns Done, all subsequent calls will return Done. |
| func (it *TimeSeriesDataPointIterator) Next() (*aiplatformpb.TimeSeriesDataPoint, error) { |
| var item *aiplatformpb.TimeSeriesDataPoint |
| if err := it.nextFunc(); err != nil { |
| return item, err |
| } |
| item = it.items[0] |
| it.items = it.items[1:] |
| return item, nil |
| } |
| |
| func (it *TimeSeriesDataPointIterator) bufLen() int { |
| return len(it.items) |
| } |
| |
| func (it *TimeSeriesDataPointIterator) takeBuf() interface{} { |
| b := it.items |
| it.items = nil |
| return b |
| } |
