aiplatformpb

type AcceleratorType int32

type Annotation struct {

	// Output only. Resource name of the Annotation.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Google Cloud Storage URI points to a YAML file describing
	// [payload][mockgcp.cloud.aiplatform.v1beta1.Annotation.payload]. The schema
	// is defined as an [OpenAPI 3.0.2 Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// The schema files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
	// chosen schema must be consistent with the parent Dataset's
	// [metadata][mockgcp.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri].
	PayloadSchemaUri string `protobuf:"bytes,2,opt,name=payload_schema_uri,json=payloadSchemaUri,proto3" json:"payload_schema_uri,omitempty"`
	// Required. The schema of the payload can be found in
	// [payload_schema][mockgcp.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri].
	Payload *_struct.Value `protobuf:"bytes,3,opt,name=payload,proto3" json:"payload,omitempty"`
	// Output only. Timestamp when this Annotation was created.
	CreateTime *timestamp.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Annotation was last updated.
	UpdateTime *timestamp.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// Output only. The source of the Annotation.
	AnnotationSource *UserActionReference `protobuf:"bytes,5,opt,name=annotation_source,json=annotationSource,proto3" json:"annotation_source,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// Annotations.
	//
	// 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.
	// No more than 64 user labels can be associated with one Annotation(System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each Annotation:
	//
	//   - "aiplatform.googleapis.com/annotation_set_name":
	//     optional, name of the UI's annotation set this Annotation belongs to.
	//     If not set, the Annotation is not visible in the UI.
	//
	//   - "aiplatform.googleapis.com/payload_schema":
	//     output only, its value is the
	//     [payload_schema's][mockgcp.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
	//     title.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// contains filtered or unexported fields
}

type AnnotationSpec struct {

	// Output only. Resource name of the AnnotationSpec.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the AnnotationSpec.
	// 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"`
	// Output only. Timestamp when this AnnotationSpec was created.
	CreateTime *timestamp.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when AnnotationSpec was last updated.
	UpdateTime *timestamp.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

type Attribution struct {

	// Output only. Model predicted output if the input instance is constructed
	// from the baselines of all the features defined in
	// [ExplanationMetadata.inputs][mockgcp.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
	// The field name of the output is determined by the key in
	// [ExplanationMetadata.outputs][mockgcp.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
	//
	// If the Model's predicted output has multiple dimensions (rank > 1), this is
	// the value in the output located by
	// [output_index][mockgcp.cloud.aiplatform.v1beta1.Attribution.output_index].
	//
	// If there are multiple baselines, their output values are averaged.
	BaselineOutputValue float64 `protobuf:"fixed64,1,opt,name=baseline_output_value,json=baselineOutputValue,proto3" json:"baseline_output_value,omitempty"`
	// Output only. Model predicted output on the corresponding [explanation
	// instance][ExplainRequest.instances]. The field name of the output is
	// determined by the key in
	// [ExplanationMetadata.outputs][mockgcp.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
	//
	// If the Model predicted output has multiple dimensions, this is the value in
	// the output located by
	// [output_index][mockgcp.cloud.aiplatform.v1beta1.Attribution.output_index].
	InstanceOutputValue float64 `protobuf:"fixed64,2,opt,name=instance_output_value,json=instanceOutputValue,proto3" json:"instance_output_value,omitempty"`
	// Output only. Attributions of each explained feature. Features are extracted
	// from the [prediction
	// instances][mockgcp.cloud.aiplatform.v1beta1.ExplainRequest.instances]
	// according to [explanation metadata for
	// inputs][mockgcp.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
	//
	// The value is a struct, whose keys are the name of the feature. The values
	// are how much the feature in the
	// [instance][mockgcp.cloud.aiplatform.v1beta1.ExplainRequest.instances]
	// contributed to the predicted result.
	//
	// The format of the value is determined by the feature's input format:
	//
	//   - If the feature is a scalar value, the attribution value is a
	//     [floating number][google.protobuf.Value.number_value].
	//
	//   - If the feature is an array of scalar values, the attribution value is
	//     an [array][google.protobuf.Value.list_value].
	//
	//   - If the feature is a struct, the attribution value is a
	//     [struct][google.protobuf.Value.struct_value]. The keys in the
	//     attribution value struct are the same as the keys in the feature
	//     struct. The formats of the values in the attribution struct are
	//     determined by the formats of the values in the feature struct.
	//
	// The
	// [ExplanationMetadata.feature_attributions_schema_uri][mockgcp.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
	// field, pointed to by the
	// [ExplanationSpec][mockgcp.cloud.aiplatform.v1beta1.ExplanationSpec] field of
	// the
	// [Endpoint.deployed_models][mockgcp.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
	// object, points to the schema file that describes the features and their
	// attribution values (if it is populated).
	FeatureAttributions *_struct.Value `protobuf:"bytes,3,opt,name=feature_attributions,json=featureAttributions,proto3" json:"feature_attributions,omitempty"`
	// Output only. The index that locates the explained prediction output.
	//
	// If the prediction output is a scalar value, output_index is not populated.
	// If the prediction output has multiple dimensions, the length of the
	// output_index list is the same as the number of dimensions of the output.
	// The i-th element in output_index is the element index of the i-th dimension
	// of the output vector. Indices start from 0.
	OutputIndex []int32 `protobuf:"varint,4,rep,packed,name=output_index,json=outputIndex,proto3" json:"output_index,omitempty"`
	// Output only. The display name of the output identified by
	// [output_index][mockgcp.cloud.aiplatform.v1beta1.Attribution.output_index].
	// For example, the predicted class name by a multi-classification Model.
	//
	// This field is only populated iff the Model predicts display names as a
	// separate field along with the explained output. The predicted display name
	// must has the same shape of the explained output, and can be located using
	// output_index.
	OutputDisplayName string `protobuf:"bytes,5,opt,name=output_display_name,json=outputDisplayName,proto3" json:"output_display_name,omitempty"`
	// Output only. Error of
	// [feature_attributions][mockgcp.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
	// caused by approximation used in the explanation method. Lower value means
	// more precise attributions.
	//
	// * For Sampled Shapley
	// [attribution][mockgcp.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
	// increasing
	// [path_count][mockgcp.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
	// might reduce the error.
	// * For Integrated Gradients
	// [attribution][mockgcp.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
	// increasing
	// [step_count][mockgcp.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
	// might reduce the error.
	// * For [XRAI
	// attribution][mockgcp.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
	// increasing
	// [step_count][mockgcp.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
	// might reduce the error.
	//
	// See [this introduction](/vertex-ai/docs/explainable-ai/overview)
	// for more information.
	ApproximationError float64 `protobuf:"fixed64,6,opt,name=approximation_error,json=approximationError,proto3" json:"approximation_error,omitempty"`
	// Output only. Name of the explain output. Specified as the key in
	// [ExplanationMetadata.outputs][mockgcp.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
	OutputName string `protobuf:"bytes,7,opt,name=output_name,json=outputName,proto3" json:"output_name,omitempty"`
	// contains filtered or unexported fields
}

type AutomaticResources struct {

	// Immutable. The minimum number of replicas this DeployedModel will be always
	// deployed on. If traffic against it increases, it may dynamically be
	// deployed onto more replicas up to
	// [max_replica_count][mockgcp.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count],
	// and as traffic decreases, some of these extra replicas may be freed. If the
	// requested value is too large, the deployment will error.
	MinReplicaCount int32 `protobuf:"varint,1,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
	// Immutable. The maximum number of replicas this DeployedModel may be
	// deployed on when the traffic against it increases. If the requested value
	// is too large, the deployment will error, but if deployment succeeds then
	// the ability to scale the model to that many replicas is guaranteed (barring
	// service outages). If traffic against the DeployedModel increases beyond
	// what its replicas at maximum may handle, a portion of the traffic will be
	// dropped. If this value is not provided, a no upper bound for scaling under
	// heavy traffic will be assume, though Vertex AI may be unable to scale
	// beyond certain replica number.
	MaxReplicaCount int32 `protobuf:"varint,2,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

type AutoscalingMetricSpec struct {

	// Required. The resource metric name.
	// Supported metrics:
	//
	// * For Online Prediction:
	// * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle`
	// * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName string `protobuf:"bytes,1,opt,name=metric_name,json=metricName,proto3" json:"metric_name,omitempty"`
	// The target resource utilization in percentage (1% - 100%) for the given
	// metric; once the real usage deviates from the target by a certain
	// percentage, the machine replicas change. The default value is 60
	// (representing 60%) if not provided.
	Target int32 `protobuf:"varint,2,opt,name=target,proto3" json:"target,omitempty"`
	// contains filtered or unexported fields
}

type AvroSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

type BatchCreateTensorboardRunsRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardRuns in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	// The parent field in the CreateTensorboardRunRequest messages must match
	// this field.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the TensorboardRuns to create.
	// A maximum of 1000 TensorboardRuns can be created in a batch.
	Requests []*CreateTensorboardRunRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

type BatchCreateTensorboardRunsResponse struct {

	// The created TensorboardRuns.
	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
	// contains filtered or unexported fields
}

type BatchCreateTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardTimeSeries in.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	// The TensorboardRuns referenced by the parent fields in the
	// CreateTensorboardTimeSeriesRequest messages must be sub resources of this
	// TensorboardExperiment.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the TensorboardTimeSeries to
	// create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
	Requests []*CreateTensorboardTimeSeriesRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

type BatchCreateTensorboardTimeSeriesResponse struct {

	// The created TensorboardTimeSeries.
	TensorboardTimeSeries []*TensorboardTimeSeries `` /* 126-byte string literal not displayed */
	// contains filtered or unexported fields
}

type BatchDedicatedResources struct {

	// Required. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Immutable. The number of machine replicas used at the start of the batch
	// operation. If not set, Vertex AI decides starting number, not greater than
	// [max_replica_count][mockgcp.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
	StartingReplicaCount int32 `protobuf:"varint,2,opt,name=starting_replica_count,json=startingReplicaCount,proto3" json:"starting_replica_count,omitempty"`
	// Immutable. The maximum number of machine replicas the batch operation may
	// be scaled to. The default value is 10.
	MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

type BatchReadTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the Tensorboard containing
	// TensorboardTimeSeries to read data from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
	// The TensorboardTimeSeries referenced by
	// [time_series][mockgcp.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
	// must be sub resources of this Tensorboard.
	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// Required. The resource names of the TensorboardTimeSeries to read data
	// from. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TimeSeries []string `protobuf:"bytes,2,rep,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
	// contains filtered or unexported fields
}

type BatchReadTensorboardTimeSeriesDataResponse struct {

	// The returned time series data.
	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,1,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

type BigQueryDestination struct {

	// Required. BigQuery URI to a project or table, up to 2000 characters long.
	//
	// When only the project is specified, the Dataset and Table is created.
	// When the full table reference is specified, the Dataset must exist and
	// table must not exist.
	//
	// Accepted forms:
	//
	// *  BigQuery path. For example:
	// `bq://projectId` or `bq://projectId.bqDatasetId` or
	// `bq://projectId.bqDatasetId.bqTableId`.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

type BigQuerySource struct {

	// Required. BigQuery URI to a table, up to 2000 characters long.
	// Accepted forms:
	//
	// *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri,proto3" json:"input_uri,omitempty"`
	// contains filtered or unexported fields
}

type BlurBaselineConfig struct {

	// The standard deviation of the blur kernel for the blurred baseline. The
	// same blurring parameter is used for both the height and the width
	// dimension. If not set, the method defaults to the zero (i.e. black for
	// images) baseline.
	MaxBlurSigma float32 `protobuf:"fixed32,1,opt,name=max_blur_sigma,json=maxBlurSigma,proto3" json:"max_blur_sigma,omitempty"`
	// contains filtered or unexported fields
}

type ContainerRegistryDestination struct {

	// Required. Container Registry URI of a container image.
	// Only Google Container Registry and Artifact Registry are supported now.
	// Accepted forms:
	//
	//   - Google Container Registry path. For example:
	//     `gcr.io/projectId/imageName:tag`.
	//
	//   - Artifact Registry path. For example:
	//     `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
	//
	// If a tag is not specified, "latest" will be used as the default tag.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

type CreateDatasetOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

type CreateDatasetRequest struct {

	// Required. The resource name of the Location to create the Dataset in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Dataset to create.
	Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// contains filtered or unexported fields
}

type CreateDatasetVersionOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

type CreateDatasetVersionRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The version to be created. The same CMEK policies with the
	// original Dataset will be applied the dataset version. So here we don't need
	// to specify the EncryptionSpecType here.
	DatasetVersion *DatasetVersion `protobuf:"bytes,2,opt,name=dataset_version,json=datasetVersion,proto3" json:"dataset_version,omitempty"`
	// contains filtered or unexported fields
}

type CreateEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

type CreateEndpointRequest struct {

	// Required. The resource name of the Location to create the Endpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Endpoint to create.
	Endpoint *Endpoint `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Immutable. The ID to use for endpoint, which will become the final
	// component of the endpoint resource name.
	// If not provided, Vertex AI will generate a value for this ID.
	//
	// If the first character is a letter, this value may be up to 63 characters,
	// and valid characters are `[a-z0-9-]`. The last character must be a letter
	// or number.
	//
	// If the first character is a number, this value may be up to 9 characters,
	// and valid characters are `[0-9]` with no leading zeros.
	//
	// When using HTTP/JSON, this field is populated
	// based on a query string argument, such as `?endpoint_id=12345`. This is the
	// fallback for fields that are not included in either the URI or the body.
	EndpointId string `protobuf:"bytes,4,opt,name=endpoint_id,json=endpointId,proto3" json:"endpoint_id,omitempty"`
	// contains filtered or unexported fields
}

type CreateTensorboardExperimentRequest struct {

	// Required. The resource name of the Tensorboard to create the
	// TensorboardExperiment in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The TensorboardExperiment to create.
	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// Required. The ID to use for the Tensorboard experiment, which becomes the
	// final component of the Tensorboard experiment's resource name.
	//
	// This value should be 1-128 characters, and valid characters
	// are `/[a-z][0-9]-/`.
	TensorboardExperimentId string `` /* 132-byte string literal not displayed */
	// contains filtered or unexported fields
}

type CreateTensorboardOperationMetadata struct {

	// Operation metadata for Tensorboard.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

type CreateTensorboardRequest struct {

	// Required. The resource name of the Location to create the Tensorboard in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Tensorboard to create.
	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

type CreateTensorboardRunRequest struct {

	// Required. The resource name of the TensorboardExperiment to create the
	// TensorboardRun in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TensorboardRun to create.
	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// Required. The ID to use for the Tensorboard run, which becomes the final
	// component of the Tensorboard run's resource name.
	//
	// This value should be 1-128 characters, and valid characters
	// are `/[a-z][0-9]-/`.
	TensorboardRunId string `protobuf:"bytes,3,opt,name=tensorboard_run_id,json=tensorboardRunId,proto3" json:"tensorboard_run_id,omitempty"`
	// contains filtered or unexported fields
}

type CreateTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardRun to create the
	// TensorboardTimeSeries in.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The user specified unique ID to use for the
	// TensorboardTimeSeries, which becomes the final component of the
	// TensorboardTimeSeries's resource name. This value should match
	// "[a-z0-9][a-z0-9-]{0, 127}"
	TensorboardTimeSeriesId string `` /* 134-byte string literal not displayed */
	// Required. The TensorboardTimeSeries to create.
	TensorboardTimeSeries *TensorboardTimeSeries `` /* 126-byte string literal not displayed */
	// contains filtered or unexported fields
}

type CsvDestination struct {

	// Required. Google Cloud Storage location.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
	// contains filtered or unexported fields
}

type CsvSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

type DataItem struct {

	// Output only. The resource name of the DataItem.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this DataItem was created.
	CreateTime *timestamp.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this DataItem was last updated.
	UpdateTime *timestamp.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize your DataItems.
	//
	// 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.
	// No more than 64 user labels can be associated with one DataItem(System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Required. The data that the DataItem represents (for example, an image or a
	// text snippet). The schema of the payload is stored in the parent Dataset's
	// [metadata
	// schema's][mockgcp.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri]
	// dataItemSchemaUri field.
	Payload *_struct.Value `protobuf:"bytes,4,opt,name=payload,proto3" json:"payload,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}