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endpoint.pb.go
executable file
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endpoint.pb.go
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// Copyright 2023 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
//
// http://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. DO NOT EDIT.
// versions:
// protoc-gen-go v1.30.0
// protoc v4.23.1
// source: google/cloud/aiplatform/v1/endpoint.proto
package aiplatformpb
import (
reflect "reflect"
sync "sync"
_ "google.golang.org/genproto/googleapis/api/annotations"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
timestamppb "google.golang.org/protobuf/types/known/timestamppb"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// Models are deployed into it, and afterwards Endpoint is called to obtain
// predictions and explanations.
type Endpoint struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Output only. The resource name of the Endpoint.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The display name of the Endpoint.
// The name can be up to 128 characters long and can consist of any UTF-8
// characters.
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// The description of the Endpoint.
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
// Output only. The models deployed in this Endpoint.
// To add or remove DeployedModels use
// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel]
// and
// [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel]
// respectively.
DeployedModels []*DeployedModel `protobuf:"bytes,4,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
// A map from a DeployedModel's ID to the percentage of this Endpoint's
// traffic that should be forwarded to that DeployedModel.
//
// If a DeployedModel's ID is not listed in this map, then it receives no
// traffic.
//
// The traffic percentage values must add up to 100, or map must be empty if
// the Endpoint is to not accept any traffic at a moment.
TrafficSplit map[string]int32 `protobuf:"bytes,5,rep,name=traffic_split,json=trafficSplit,proto3" json:"traffic_split,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"varint,2,opt,name=value,proto3"`
// Used to perform consistent read-modify-write updates. If not set, a blind
// "overwrite" update happens.
Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
// The labels with user-defined metadata to organize your Endpoints.
//
// Label keys and values can be no longer than 64 characters
// (Unicode codepoints), can only contain lowercase letters, numeric
// characters, underscores and dashes. International characters are allowed.
//
// See https://goo.gl/xmQnxf for more information and examples of labels.
Labels map[string]string `protobuf:"bytes,7,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
// Output only. Timestamp when this Endpoint was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// Output only. Timestamp when this Endpoint was last updated.
UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
// Customer-managed encryption key spec for an Endpoint. If set, this
// Endpoint and all sub-resources of this Endpoint will be secured by
// this key.
EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
// Optional. The full name of the Google Compute Engine
// [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks)
// to which the Endpoint should be peered.
//
// Private services access must already be configured for the network. If left
// unspecified, the Endpoint is not peered with any network.
//
// Only one of the fields,
// [network][google.cloud.aiplatform.v1.Endpoint.network] or
// [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
// can be set.
//
// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
// `projects/{project}/global/networks/{network}`.
// Where `{project}` is a project number, as in `12345`, and `{network}` is
// network name.
Network string `protobuf:"bytes,13,opt,name=network,proto3" json:"network,omitempty"`
// Deprecated: If true, expose the Endpoint via private service connect.
//
// Only one of the fields,
// [network][google.cloud.aiplatform.v1.Endpoint.network] or
// [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect],
// can be set.
//
// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/endpoint.proto.
EnablePrivateServiceConnect bool `protobuf:"varint,17,opt,name=enable_private_service_connect,json=enablePrivateServiceConnect,proto3" json:"enable_private_service_connect,omitempty"`
// Output only. Resource name of the Model Monitoring job associated with this
// Endpoint if monitoring is enabled by
// [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
// Format:
// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
ModelDeploymentMonitoringJob string `protobuf:"bytes,14,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"`
// Configures the request-response logging for online prediction.
PredictRequestResponseLoggingConfig *PredictRequestResponseLoggingConfig `protobuf:"bytes,18,opt,name=predict_request_response_logging_config,json=predictRequestResponseLoggingConfig,proto3" json:"predict_request_response_logging_config,omitempty"`
}
func (x *Endpoint) Reset() {
*x = Endpoint{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Endpoint) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Endpoint) ProtoMessage() {}
func (x *Endpoint) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[0]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use Endpoint.ProtoReflect.Descriptor instead.
func (*Endpoint) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{0}
}
func (x *Endpoint) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *Endpoint) GetDisplayName() string {
if x != nil {
return x.DisplayName
}
return ""
}
func (x *Endpoint) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *Endpoint) GetDeployedModels() []*DeployedModel {
if x != nil {
return x.DeployedModels
}
return nil
}
func (x *Endpoint) GetTrafficSplit() map[string]int32 {
if x != nil {
return x.TrafficSplit
}
return nil
}
func (x *Endpoint) GetEtag() string {
if x != nil {
return x.Etag
}
return ""
}
func (x *Endpoint) GetLabels() map[string]string {
if x != nil {
return x.Labels
}
return nil
}
func (x *Endpoint) GetCreateTime() *timestamppb.Timestamp {
if x != nil {
return x.CreateTime
}
return nil
}
func (x *Endpoint) GetUpdateTime() *timestamppb.Timestamp {
if x != nil {
return x.UpdateTime
}
return nil
}
func (x *Endpoint) GetEncryptionSpec() *EncryptionSpec {
if x != nil {
return x.EncryptionSpec
}
return nil
}
func (x *Endpoint) GetNetwork() string {
if x != nil {
return x.Network
}
return ""
}
// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/endpoint.proto.
func (x *Endpoint) GetEnablePrivateServiceConnect() bool {
if x != nil {
return x.EnablePrivateServiceConnect
}
return false
}
func (x *Endpoint) GetModelDeploymentMonitoringJob() string {
if x != nil {
return x.ModelDeploymentMonitoringJob
}
return ""
}
func (x *Endpoint) GetPredictRequestResponseLoggingConfig() *PredictRequestResponseLoggingConfig {
if x != nil {
return x.PredictRequestResponseLoggingConfig
}
return nil
}
// A deployment of a Model. Endpoints contain one or more DeployedModels.
type DeployedModel struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The prediction (for example, the machine) resources that the DeployedModel
// uses. The user is billed for the resources (at least their minimal amount)
// even if the DeployedModel receives no traffic.
// Not all Models support all resources types. See
// [Model.supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types].
// Required except for Large Model Deploy use cases.
//
// Types that are assignable to PredictionResources:
// *DeployedModel_DedicatedResources
// *DeployedModel_AutomaticResources
PredictionResources isDeployedModel_PredictionResources `protobuf_oneof:"prediction_resources"`
// Immutable. The ID of the DeployedModel. If not provided upon deployment,
// Vertex AI will generate a value for this ID.
//
// This value should be 1-10 characters, and valid characters are /[0-9]/.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
// Required. The resource name of the Model that this is the deployment of.
// Note that the Model may be in a different location than the DeployedModel's
// Endpoint.
//
// The resource name may contain version id or version alias to specify the
// version.
// Example: `projects/{project}/locations/{location}/models/{model}@2`
// or
// `projects/{project}/locations/{location}/models/{model}@golden`
// if no version is specified, the default version will be deployed.
Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
// Output only. The version ID of the model that is deployed.
ModelVersionId string `protobuf:"bytes,18,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
// The display name of the DeployedModel. If not provided upon creation,
// the Model's display_name is used.
DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Output only. Timestamp when the DeployedModel was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// Explanation configuration for this DeployedModel.
//
// When deploying a Model using
// [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
// this value overrides the value of
// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
// All fields of
// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
// are optional in the request. If a field of
// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
// is not populated, the value of the same field of
// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
// is inherited. If the corresponding
// [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
// is not populated, all fields of the
// [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
// will be used for the explanation configuration.
ExplanationSpec *ExplanationSpec `protobuf:"bytes,9,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
// The service account that the DeployedModel's container runs as. Specify the
// email address of the service account. If this service account is not
// specified, the container runs as a service account that doesn't have access
// to the resource project.
//
// Users deploying the Model must have the `iam.serviceAccounts.actAs`
// permission on this service account.
ServiceAccount string `protobuf:"bytes,11,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
// For custom-trained Models and AutoML Tabular Models, the container of the
// DeployedModel instances will send `stderr` and `stdout` streams to
// Cloud Logging by default. Please note that the logs incur cost,
// which are subject to [Cloud Logging
// pricing](https://cloud.google.com/logging/pricing).
//
// User can disable container logging by setting this flag to true.
DisableContainerLogging bool `protobuf:"varint,15,opt,name=disable_container_logging,json=disableContainerLogging,proto3" json:"disable_container_logging,omitempty"`
// If true, online prediction access logs are sent to Cloud
// Logging.
// These logs are like standard server access logs, containing
// information like timestamp and latency for each prediction request.
//
// Note that logs may incur a cost, especially if your project
// receives prediction requests at a high queries per second rate (QPS).
// Estimate your costs before enabling this option.
EnableAccessLogging bool `protobuf:"varint,13,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`
// Output only. Provide paths for users to send predict/explain/health
// requests directly to the deployed model services running on Cloud via
// private services access. This field is populated if
// [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
PrivateEndpoints *PrivateEndpoints `protobuf:"bytes,14,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`
}
func (x *DeployedModel) Reset() {
*x = DeployedModel{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DeployedModel) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DeployedModel) ProtoMessage() {}
func (x *DeployedModel) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[1]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DeployedModel.ProtoReflect.Descriptor instead.
func (*DeployedModel) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{1}
}
func (m *DeployedModel) GetPredictionResources() isDeployedModel_PredictionResources {
if m != nil {
return m.PredictionResources
}
return nil
}
func (x *DeployedModel) GetDedicatedResources() *DedicatedResources {
if x, ok := x.GetPredictionResources().(*DeployedModel_DedicatedResources); ok {
return x.DedicatedResources
}
return nil
}
func (x *DeployedModel) GetAutomaticResources() *AutomaticResources {
if x, ok := x.GetPredictionResources().(*DeployedModel_AutomaticResources); ok {
return x.AutomaticResources
}
return nil
}
func (x *DeployedModel) GetId() string {
if x != nil {
return x.Id
}
return ""
}
func (x *DeployedModel) GetModel() string {
if x != nil {
return x.Model
}
return ""
}
func (x *DeployedModel) GetModelVersionId() string {
if x != nil {
return x.ModelVersionId
}
return ""
}
func (x *DeployedModel) GetDisplayName() string {
if x != nil {
return x.DisplayName
}
return ""
}
func (x *DeployedModel) GetCreateTime() *timestamppb.Timestamp {
if x != nil {
return x.CreateTime
}
return nil
}
func (x *DeployedModel) GetExplanationSpec() *ExplanationSpec {
if x != nil {
return x.ExplanationSpec
}
return nil
}
func (x *DeployedModel) GetServiceAccount() string {
if x != nil {
return x.ServiceAccount
}
return ""
}
func (x *DeployedModel) GetDisableContainerLogging() bool {
if x != nil {
return x.DisableContainerLogging
}
return false
}
func (x *DeployedModel) GetEnableAccessLogging() bool {
if x != nil {
return x.EnableAccessLogging
}
return false
}
func (x *DeployedModel) GetPrivateEndpoints() *PrivateEndpoints {
if x != nil {
return x.PrivateEndpoints
}
return nil
}
type isDeployedModel_PredictionResources interface {
isDeployedModel_PredictionResources()
}
type DeployedModel_DedicatedResources struct {
// A description of resources that are dedicated to the DeployedModel, and
// that need a higher degree of manual configuration.
DedicatedResources *DedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3,oneof"`
}
type DeployedModel_AutomaticResources struct {
// A description of resources that to large degree are decided by Vertex
// AI, and require only a modest additional configuration.
AutomaticResources *AutomaticResources `protobuf:"bytes,8,opt,name=automatic_resources,json=automaticResources,proto3,oneof"`
}
func (*DeployedModel_DedicatedResources) isDeployedModel_PredictionResources() {}
func (*DeployedModel_AutomaticResources) isDeployedModel_PredictionResources() {}
// PrivateEndpoints proto is used to provide paths for users to send
// requests privately.
// To send request via private service access, use predict_http_uri,
// explain_http_uri or health_http_uri. To send request via private service
// connect, use service_attachment.
type PrivateEndpoints struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Output only. Http(s) path to send prediction requests.
PredictHttpUri string `protobuf:"bytes,1,opt,name=predict_http_uri,json=predictHttpUri,proto3" json:"predict_http_uri,omitempty"`
// Output only. Http(s) path to send explain requests.
ExplainHttpUri string `protobuf:"bytes,2,opt,name=explain_http_uri,json=explainHttpUri,proto3" json:"explain_http_uri,omitempty"`
// Output only. Http(s) path to send health check requests.
HealthHttpUri string `protobuf:"bytes,3,opt,name=health_http_uri,json=healthHttpUri,proto3" json:"health_http_uri,omitempty"`
// Output only. The name of the service attachment resource. Populated if
// private service connect is enabled.
ServiceAttachment string `protobuf:"bytes,4,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"`
}
func (x *PrivateEndpoints) Reset() {
*x = PrivateEndpoints{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *PrivateEndpoints) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*PrivateEndpoints) ProtoMessage() {}
func (x *PrivateEndpoints) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[2]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use PrivateEndpoints.ProtoReflect.Descriptor instead.
func (*PrivateEndpoints) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{2}
}
func (x *PrivateEndpoints) GetPredictHttpUri() string {
if x != nil {
return x.PredictHttpUri
}
return ""
}
func (x *PrivateEndpoints) GetExplainHttpUri() string {
if x != nil {
return x.ExplainHttpUri
}
return ""
}
func (x *PrivateEndpoints) GetHealthHttpUri() string {
if x != nil {
return x.HealthHttpUri
}
return ""
}
func (x *PrivateEndpoints) GetServiceAttachment() string {
if x != nil {
return x.ServiceAttachment
}
return ""
}
// Configuration for logging request-response to a BigQuery table.
type PredictRequestResponseLoggingConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// If logging is enabled or not.
Enabled bool `protobuf:"varint,1,opt,name=enabled,proto3" json:"enabled,omitempty"`
// Percentage of requests to be logged, expressed as a fraction in
// range(0,1].
SamplingRate float64 `protobuf:"fixed64,2,opt,name=sampling_rate,json=samplingRate,proto3" json:"sampling_rate,omitempty"`
// BigQuery table for logging.
// If only given a project, a new dataset will be created with name
// `logging_<endpoint-display-name>_<endpoint-id>` where
// <endpoint-display-name> will be made BigQuery-dataset-name compatible (e.g.
// most special characters will become underscores). If no table name is
// given, a new table will be created with name `request_response_logging`
BigqueryDestination *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery_destination,json=bigqueryDestination,proto3" json:"bigquery_destination,omitempty"`
}
func (x *PredictRequestResponseLoggingConfig) Reset() {
*x = PredictRequestResponseLoggingConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *PredictRequestResponseLoggingConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*PredictRequestResponseLoggingConfig) ProtoMessage() {}
func (x *PredictRequestResponseLoggingConfig) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[3]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use PredictRequestResponseLoggingConfig.ProtoReflect.Descriptor instead.
func (*PredictRequestResponseLoggingConfig) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{3}
}
func (x *PredictRequestResponseLoggingConfig) GetEnabled() bool {
if x != nil {
return x.Enabled
}
return false
}
func (x *PredictRequestResponseLoggingConfig) GetSamplingRate() float64 {
if x != nil {
return x.SamplingRate
}
return 0
}
func (x *PredictRequestResponseLoggingConfig) GetBigqueryDestination() *BigQueryDestination {
if x != nil {
return x.BigqueryDestination
}
return nil
}
var File_google_cloud_aiplatform_v1_endpoint_proto protoreflect.FileDescriptor
var file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc = []byte{
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}
var (
file_google_cloud_aiplatform_v1_endpoint_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData = file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc
)
func file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1_endpoint_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData
}
var file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes = make([]protoimpl.MessageInfo, 6)
var file_google_cloud_aiplatform_v1_endpoint_proto_goTypes = []interface{}{
(*Endpoint)(nil), // 0: google.cloud.aiplatform.v1.Endpoint
(*DeployedModel)(nil), // 1: google.cloud.aiplatform.v1.DeployedModel
(*PrivateEndpoints)(nil), // 2: google.cloud.aiplatform.v1.PrivateEndpoints
(*PredictRequestResponseLoggingConfig)(nil), // 3: google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig
nil, // 4: google.cloud.aiplatform.v1.Endpoint.TrafficSplitEntry
nil, // 5: google.cloud.aiplatform.v1.Endpoint.LabelsEntry
(*timestamppb.Timestamp)(nil), // 6: google.protobuf.Timestamp
(*EncryptionSpec)(nil), // 7: google.cloud.aiplatform.v1.EncryptionSpec
(*DedicatedResources)(nil), // 8: google.cloud.aiplatform.v1.DedicatedResources
(*AutomaticResources)(nil), // 9: google.cloud.aiplatform.v1.AutomaticResources
(*ExplanationSpec)(nil), // 10: google.cloud.aiplatform.v1.ExplanationSpec
(*BigQueryDestination)(nil), // 11: google.cloud.aiplatform.v1.BigQueryDestination
}
var file_google_cloud_aiplatform_v1_endpoint_proto_depIdxs = []int32{
1, // 0: google.cloud.aiplatform.v1.Endpoint.deployed_models:type_name -> google.cloud.aiplatform.v1.DeployedModel
4, // 1: google.cloud.aiplatform.v1.Endpoint.traffic_split:type_name -> google.cloud.aiplatform.v1.Endpoint.TrafficSplitEntry
5, // 2: google.cloud.aiplatform.v1.Endpoint.labels:type_name -> google.cloud.aiplatform.v1.Endpoint.LabelsEntry
6, // 3: google.cloud.aiplatform.v1.Endpoint.create_time:type_name -> google.protobuf.Timestamp
6, // 4: google.cloud.aiplatform.v1.Endpoint.update_time:type_name -> google.protobuf.Timestamp
7, // 5: google.cloud.aiplatform.v1.Endpoint.encryption_spec:type_name -> google.cloud.aiplatform.v1.EncryptionSpec
3, // 6: google.cloud.aiplatform.v1.Endpoint.predict_request_response_logging_config:type_name -> google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig
8, // 7: google.cloud.aiplatform.v1.DeployedModel.dedicated_resources:type_name -> google.cloud.aiplatform.v1.DedicatedResources
9, // 8: google.cloud.aiplatform.v1.DeployedModel.automatic_resources:type_name -> google.cloud.aiplatform.v1.AutomaticResources
6, // 9: google.cloud.aiplatform.v1.DeployedModel.create_time:type_name -> google.protobuf.Timestamp
10, // 10: google.cloud.aiplatform.v1.DeployedModel.explanation_spec:type_name -> google.cloud.aiplatform.v1.ExplanationSpec
2, // 11: google.cloud.aiplatform.v1.DeployedModel.private_endpoints:type_name -> google.cloud.aiplatform.v1.PrivateEndpoints
11, // 12: google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig.bigquery_destination:type_name -> google.cloud.aiplatform.v1.BigQueryDestination
13, // [13:13] is the sub-list for method output_type
13, // [13:13] is the sub-list for method input_type
13, // [13:13] is the sub-list for extension type_name
13, // [13:13] is the sub-list for extension extendee
0, // [0:13] is the sub-list for field type_name
}
func init() { file_google_cloud_aiplatform_v1_endpoint_proto_init() }
func file_google_cloud_aiplatform_v1_endpoint_proto_init() {
if File_google_cloud_aiplatform_v1_endpoint_proto != nil {
return
}
file_google_cloud_aiplatform_v1_encryption_spec_proto_init()
file_google_cloud_aiplatform_v1_explanation_proto_init()
file_google_cloud_aiplatform_v1_io_proto_init()
file_google_cloud_aiplatform_v1_machine_resources_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Endpoint); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DeployedModel); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*PrivateEndpoints); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*PredictRequestResponseLoggingConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[1].OneofWrappers = []interface{}{
(*DeployedModel_DedicatedResources)(nil),
(*DeployedModel_AutomaticResources)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc,
NumEnums: 0,
NumMessages: 6,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_cloud_aiplatform_v1_endpoint_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1_endpoint_proto_depIdxs,
MessageInfos: file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1_endpoint_proto = out.File
file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc = nil
file_google_cloud_aiplatform_v1_endpoint_proto_goTypes = nil
file_google_cloud_aiplatform_v1_endpoint_proto_depIdxs = nil
}