"""Generated message classes for hypercomputecluster version v1alpha. """ # NOTE: This file is autogenerated and should not be edited by hand. from __future__ import absolute_import from apitools.base.protorpclite import messages as _messages from apitools.base.py import encoding from apitools.base.py import extra_types package = 'hypercomputecluster' class Artifacts(_messages.Message): r"""Represents information about the artifacts of the Machine Learning Run. Fields: gcsPath: Required. The Cloud Storage path where the artifacts of the run are stored. Example: `gs://my-bucket/my-run-directory`. """ gcsPath = _messages.StringField(1) class BucketReference(_messages.Message): r"""BucketReference describes the underlying bucket resource. Fields: bucket: Output only. Name of the bucket """ bucket = _messages.StringField(1) class CancelOperationRequest(_messages.Message): r"""The request message for Operations.CancelOperation.""" class Cluster(_messages.Message): r"""A collection of virtual machines and connected resources forming a high- performance computing cluster capable of running large-scale, tightly coupled workloads. A cluster combines a set a compute resources that perform computations, storage resources that contain inputs and store outputs, an orchestrator that is responsible for assigning jobs to compute resources, and network resources that connect everything together. Messages: ComputeResourcesValue: Optional. Compute resources available to the cluster. Keys specify the ID of the compute resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). LabelsValue: Optional. [Labels](https://cloud.google.com/compute/docs/labeling-resources) applied to the cluster. Labels can be used to organize clusters and to filter them in queries. NetworkResourcesValue: Optional. Network resources available to the cluster. Must contain at most one value. Keys specify the ID of the network resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). StorageResourcesValue: Optional. Storage resources available to the cluster. Keys specify the ID of the storage resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). Fields: compute: Optional. Deprecated. Use compute_resources instead. computeResources: Optional. Compute resources available to the cluster. Keys specify the ID of the compute resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). createTime: Output only. Time that the cluster was originally created. description: Optional. User-provided description of the cluster. labels: Optional. [Labels](https://cloud.google.com/compute/docs/labeling- resources) applied to the cluster. Labels can be used to organize clusters and to filter them in queries. name: Identifier. [Relative resource name](https://google.aip.dev/122) of the cluster, in the format `projects/{project}/locations/{location}/clusters/{cluster}`. networkResources: Optional. Network resources available to the cluster. Must contain at most one value. Keys specify the ID of the network resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). networks: Optional. Deprecated. Use network_resources instead. orchestrator: Optional. Orchestrator that is responsible for scheduling and running jobs on the cluster. reconciling: Output only. Indicates whether changes to the cluster are currently in flight. If this is `true`, then the current state might not match the cluster's intended state. storageResources: Optional. Storage resources available to the cluster. Keys specify the ID of the storage resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). storages: Optional. Deprecated. Use storage_resources instead. updateTime: Output only. Time that the cluster was most recently updated. """ @encoding.MapUnrecognizedFields('additionalProperties') class ComputeResourcesValue(_messages.Message): r"""Optional. Compute resources available to the cluster. Keys specify the ID of the compute resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). Messages: AdditionalProperty: An additional property for a ComputeResourcesValue object. Fields: additionalProperties: Additional properties of type ComputeResourcesValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a ComputeResourcesValue object. Fields: key: Name of the additional property. value: A ComputeResource attribute. """ key = _messages.StringField(1) value = _messages.MessageField('ComputeResource', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. [Labels](https://cloud.google.com/compute/docs/labeling- resources) applied to the cluster. Labels can be used to organize clusters and to filter them in queries. Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class NetworkResourcesValue(_messages.Message): r"""Optional. Network resources available to the cluster. Must contain at most one value. Keys specify the ID of the network resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). Messages: AdditionalProperty: An additional property for a NetworkResourcesValue object. Fields: additionalProperties: Additional properties of type NetworkResourcesValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a NetworkResourcesValue object. Fields: key: Name of the additional property. value: A NetworkResource attribute. """ key = _messages.StringField(1) value = _messages.MessageField('NetworkResource', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class StorageResourcesValue(_messages.Message): r"""Optional. Storage resources available to the cluster. Keys specify the ID of the storage resource by which it can be referenced elsewhere, and must conform to [RFC-1034](https://datatracker.ietf.org/doc/html/rfc1034) (lower-case, alphanumeric, and at most 63 characters). Messages: AdditionalProperty: An additional property for a StorageResourcesValue object. Fields: additionalProperties: Additional properties of type StorageResourcesValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a StorageResourcesValue object. Fields: key: Name of the additional property. value: A StorageResource attribute. """ key = _messages.StringField(1) value = _messages.MessageField('StorageResource', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) compute = _messages.MessageField('Compute', 1) computeResources = _messages.MessageField('ComputeResourcesValue', 2) createTime = _messages.StringField(3) description = _messages.StringField(4) labels = _messages.MessageField('LabelsValue', 5) name = _messages.StringField(6) networkResources = _messages.MessageField('NetworkResourcesValue', 7) networks = _messages.MessageField('Network', 8, repeated=True) orchestrator = _messages.MessageField('Orchestrator', 9) reconciling = _messages.BooleanField(10) storageResources = _messages.MessageField('StorageResourcesValue', 11) storages = _messages.MessageField('Storage', 12, repeated=True) updateTime = _messages.StringField(13) class Compute(_messages.Message): r"""Message describing Compute object Fields: resourceRequests: Required. Source of compute resource """ resourceRequests = _messages.MessageField('ResourceRequest', 1, repeated=True) class ComputeInstance(_messages.Message): r"""Compute instance details. Fields: instance: Output only. Name of the instance. """ instance = _messages.StringField(1) class ComputeInstanceSlurmNodeSet(_messages.Message): r"""Message describing Compute Instance Slurm NodeSet object Messages: LabelsValue: Optional. Labels for the nodeset Fields: labels: Optional. Labels for the nodeset startupScript: Optional. Startup script for the nodeset """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. Labels for the nodeset Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) labels = _messages.MessageField('LabelsValue', 1) startupScript = _messages.StringField(2) class ComputeNetworkReference(_messages.Message): r"""ComputeNetworkReference describes which underlying Compute Engine's resource being represented. Fields: network: Output only. The name of the network. subnetwork: Output only. Subnetwork of the network. """ network = _messages.StringField(1) subnetwork = _messages.StringField(2) class ComputeResource(_messages.Message): r"""ComputeResource represents a compute resource of a cluster. Fields: newDwsFlexInstances: New dws flex instance config newOnDemandInstances: New on demand instance config newReservedInstances: New reserved instance config newSpotInstances: New spot instance config """ newDwsFlexInstances = _messages.MessageField('NewDWSFlexInstancesConfig', 1) newOnDemandInstances = _messages.MessageField('NewOnDemandInstancesConfig', 2) newReservedInstances = _messages.MessageField('NewReservedInstancesConfig', 3) newSpotInstances = _messages.MessageField('NewSpotInstancesConfig', 4) class Configs(_messages.Message): r"""Configuration for a Machine Learning run. Messages: HardwareConfigsValue: Optional. Hardware configs. SoftwareConfigsValue: Optional. Software configs. UserConfigsValue: Optional. User defined configs. Fields: hardwareConfigs: Optional. Hardware configs. softwareConfigs: Optional. Software configs. userConfigs: Optional. User defined configs. """ @encoding.MapUnrecognizedFields('additionalProperties') class HardwareConfigsValue(_messages.Message): r"""Optional. Hardware configs. Messages: AdditionalProperty: An additional property for a HardwareConfigsValue object. Fields: additionalProperties: Additional properties of type HardwareConfigsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a HardwareConfigsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class SoftwareConfigsValue(_messages.Message): r"""Optional. Software configs. Messages: AdditionalProperty: An additional property for a SoftwareConfigsValue object. Fields: additionalProperties: Additional properties of type SoftwareConfigsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a SoftwareConfigsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class UserConfigsValue(_messages.Message): r"""Optional. User defined configs. Messages: AdditionalProperty: An additional property for a UserConfigsValue object. Fields: additionalProperties: Additional properties of type UserConfigsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a UserConfigsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) hardwareConfigs = _messages.MessageField('HardwareConfigsValue', 1) softwareConfigs = _messages.MessageField('SoftwareConfigsValue', 2) userConfigs = _messages.MessageField('UserConfigsValue', 3) class ContainerNodePoolSlurmNodeSet(_messages.Message): r"""Message describing Container NodePool Slurm NodeSet object""" class Disk(_messages.Message): r"""Message describing Disk object Fields: boot: Optional. Whether the disk is a boot disk sizeGb: Required. Size of the disk sourceImage: Optional. Source image for the disk type: Required. Type of the disk """ boot = _messages.BooleanField(1) sizeGb = _messages.IntegerField(2) sourceImage = _messages.StringField(3) type = _messages.StringField(4) class Empty(_messages.Message): r"""A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } """ class ExistingBucketConfig(_messages.Message): r"""ExistingBucketConfig describes the config to use an existing bucket. Fields: bucket: Immutable. Name of the bucket """ bucket = _messages.StringField(1) class ExistingComputeNetworkConfig(_messages.Message): r"""ExistingComputeNetworkConfig represents the configuration of an existing compute network which will be used by the cluster. Fields: network: Immutable. The name of the network. subnetwork: Immutable. Subnetwork of the network. """ network = _messages.StringField(1) subnetwork = _messages.StringField(2) class ExistingFilestoreConfig(_messages.Message): r"""ExistingFilestoreConfig describes the config to use an existing filestore. Fields: filestore: Immutable. Name of the filestore """ filestore = _messages.StringField(1) class ExistingLustreConfig(_messages.Message): r"""ExistingLustreConfig describes the config to use an existing lustre. Fields: lustre: Immutable. Name of the lustre """ lustre = _messages.StringField(1) class ExistingNetworkConfig(_messages.Message): r"""ExistingNetworkConfig represents the configuration of an existing network which will be used by the cluster. Fields: network: Immutable. The name of the network. subnetwork: Immutable. Subnetwork of the network. """ network = _messages.StringField(1) subnetwork = _messages.StringField(2) class FileShareConfig(_messages.Message): r"""Message describing filestore configuration Fields: capacityGb: Required. Size of the filestore in GB fileShare: Required. Filestore share location """ capacityGb = _messages.IntegerField(1) fileShare = _messages.StringField(2) class FilestoreInitializeParams(_messages.Message): r"""Message describing initialize params for filestore Enums: ProtocolValueValuesEnum: Optional. The protocol of the filestore TierValueValuesEnum: Required. The service tier of the filestore Fields: description: Optional. Description of the filestore fileShares: Required. File share configuration filestore: Required. Name of the filestore protocol: Optional. The protocol of the filestore tier: Required. The service tier of the filestore """ class ProtocolValueValuesEnum(_messages.Enum): r"""Optional. The protocol of the filestore Values: PROTOCOL_UNSPECIFIED: Unspecified filestore protocol PROTOCOL_NFSV3: NFSv3 PROTOCOL_NFSV41: NFSv4.1 """ PROTOCOL_UNSPECIFIED = 0 PROTOCOL_NFSV3 = 1 PROTOCOL_NFSV41 = 2 class TierValueValuesEnum(_messages.Enum): r"""Required. The service tier of the filestore Values: TIER_UNSPECIFIED: Unspecified filestore tier TIER_BASIC_HDD: Basic HDD filestore tier TIER_BASIC_SSD: Basic SSD filestore tier TIER_HIGH_SCALE_SSD: High scale SSD filestore tier TIER_ZONAL: Zonal filestore tier TIER_ENTERPRISE: Enterprise filestore tier TIER_REGIONAL: Regional filestore tier """ TIER_UNSPECIFIED = 0 TIER_BASIC_HDD = 1 TIER_BASIC_SSD = 2 TIER_HIGH_SCALE_SSD = 3 TIER_ZONAL = 4 TIER_ENTERPRISE = 5 TIER_REGIONAL = 6 description = _messages.StringField(1) fileShares = _messages.MessageField('FileShareConfig', 2, repeated=True) filestore = _messages.StringField(3) protocol = _messages.EnumField('ProtocolValueValuesEnum', 4) tier = _messages.EnumField('TierValueValuesEnum', 5) class FilestoreReference(_messages.Message): r"""FilestoreReference describes the underlying filestore resource. Fields: filestore: Output only. Name of the filestore """ filestore = _messages.StringField(1) class GcsAutoclassConfig(_messages.Message): r"""Message describing Google Cloud Storage autoclass configuration Enums: TerminalStorageClassValueValuesEnum: Optional. Terminal storage class of the autoclass bucket Fields: enabled: Required. Enables Auto-class feature. terminalStorageClass: Optional. Terminal storage class of the autoclass bucket """ class TerminalStorageClassValueValuesEnum(_messages.Enum): r"""Optional. Terminal storage class of the autoclass bucket Values: TERMINAL_STORAGE_CLASS_UNSPECIFIED: Unspecified terminal storage class TERMINAL_STORAGE_CLASS_NEARLINE: Nearline terminal storage class TERMINAL_STORAGE_CLASS_ARCHIVE: Archive terminal storage class """ TERMINAL_STORAGE_CLASS_UNSPECIFIED = 0 TERMINAL_STORAGE_CLASS_NEARLINE = 1 TERMINAL_STORAGE_CLASS_ARCHIVE = 2 enabled = _messages.BooleanField(1) terminalStorageClass = _messages.EnumField('TerminalStorageClassValueValuesEnum', 2) class GcsHierarchicalNamespaceConfig(_messages.Message): r"""Message describing Google Cloud Storage hierarchical namespace configuration Fields: enabled: Required. Enables hierarchical namespace setup for the bucket. """ enabled = _messages.BooleanField(1) class GcsInitializeParams(_messages.Message): r"""Message describing initialize params for Google Cloud Storage Enums: StorageClassValueValuesEnum: Default storage class for objects in the bucket. Fields: autoclass: Autoclass configuration for objects in the bucket. bucket: Required. Name of the bucket hierarchicalNamespace: Optional. The hierarchical namespace configuration of the bucket storageClass: Default storage class for objects in the bucket. """ class StorageClassValueValuesEnum(_messages.Enum): r"""Default storage class for objects in the bucket. Values: STORAGE_CLASS_UNSPECIFIED: Unspecified storage class STORAGE_CLASS_STANDARD: Standard storage class STORAGE_CLASS_NEARLINE: Nearline storage class STORAGE_CLASS_COLDLINE: Coldline storage class STORAGE_CLASS_ARCHIVE: Archive storage class """ STORAGE_CLASS_UNSPECIFIED = 0 STORAGE_CLASS_STANDARD = 1 STORAGE_CLASS_NEARLINE = 2 STORAGE_CLASS_COLDLINE = 3 STORAGE_CLASS_ARCHIVE = 4 autoclass = _messages.MessageField('GcsAutoclassConfig', 1) bucket = _messages.StringField(2) hierarchicalNamespace = _messages.MessageField('GcsHierarchicalNamespaceConfig', 3) storageClass = _messages.EnumField('StorageClassValueValuesEnum', 4) class GuestAccelerator(_messages.Message): r"""Message describing GuestAccelerator object Fields: acceleratorType: Optional. Accelerator type resource to attach to this instance count: Optional. Number of the guest accelerator cards exposed to this instance """ acceleratorType = _messages.StringField(1) count = _messages.IntegerField(2) class HypercomputeclusterProjectsLocationsClustersCreateRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsClustersCreateRequest object. Fields: cluster: A Cluster resource to be passed as the request body. clusterId: Required. Id of the requesting object parent: Required. Parent collection in which cluster is created Format: projects/{project}/locations/{locations} requestId: Optional. A unique identifier for this request """ cluster = _messages.MessageField('Cluster', 1) clusterId = _messages.StringField(2) parent = _messages.StringField(3, required=True) requestId = _messages.StringField(4) class HypercomputeclusterProjectsLocationsClustersDeleteRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsClustersDeleteRequest object. Fields: name: Required. Name of the cluster to delete. Format: projects/{project}/locations/{locations}/clusters/{cluster} requestId: Optional. An optional request ID to identify requests. Specify a unique request ID so that if you must retry your request, the server will know to ignore the request if it has already been completed. The server will guarantee that for at least 60 minutes after the first request. For example, consider a situation where you make an initial request and the request times out. If you make the request again with the same request ID, the server can check if original operation with the same request ID was received, and if so, will ignore the second request. This prevents clients from accidentally creating duplicate commitments. The request ID must be a valid UUID with the exception that zero UUID is not supported (00000000-0000-0000-0000-000000000000). """ name = _messages.StringField(1, required=True) requestId = _messages.StringField(2) class HypercomputeclusterProjectsLocationsClustersGetRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsClustersGetRequest object. Fields: name: Required. Name of the cluster to retrieve. Format: projects/{project}/locations/{location}/clusters/{cluster} """ name = _messages.StringField(1, required=True) class HypercomputeclusterProjectsLocationsClustersListRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsClustersListRequest object. Fields: filter: Optional. Filtering results orderBy: Optional. Hint for how to order the results pageSize: Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default. pageToken: Optional. A token identifying a page of results the server should return. parent: Required. Parent collection which own list of clusters. Format: projects/{project}/locations/{location} """ filter = _messages.StringField(1) orderBy = _messages.StringField(2) pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32) pageToken = _messages.StringField(4) parent = _messages.StringField(5, required=True) class HypercomputeclusterProjectsLocationsClustersPatchRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsClustersPatchRequest object. Fields: cluster: A Cluster resource to be passed as the request body. name: Identifier. [Relative resource name](https://google.aip.dev/122) of the cluster, in the format `projects/{project}/locations/{location}/clusters/{cluster}`. requestId: Optional. A unique identifier for this request updateMask: Optional. Field mask is used to specify the fields to be overwritten in the Cluster resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields present in the request will be overwritten. """ cluster = _messages.MessageField('Cluster', 1) name = _messages.StringField(2, required=True) requestId = _messages.StringField(3) updateMask = _messages.StringField(4) class HypercomputeclusterProjectsLocationsGetRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsGetRequest object. Fields: name: Resource name for the location. """ name = _messages.StringField(1, required=True) class HypercomputeclusterProjectsLocationsListRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsListRequest object. Fields: extraLocationTypes: Optional. Unless explicitly documented otherwise, don't use this unsupported field which is primarily intended for internal usage. filter: A filter to narrow down results to a preferred subset. The filtering language accepts strings like `"displayName=tokyo"`, and is documented in more detail in [AIP-160](https://google.aip.dev/160). name: The resource that owns the locations collection, if applicable. pageSize: The maximum number of results to return. If not set, the service selects a default. pageToken: A page token received from the `next_page_token` field in the response. Send that page token to receive the subsequent page. """ extraLocationTypes = _messages.StringField(1, repeated=True) filter = _messages.StringField(2) name = _messages.StringField(3, required=True) pageSize = _messages.IntegerField(4, variant=_messages.Variant.INT32) pageToken = _messages.StringField(5) class HypercomputeclusterProjectsLocationsMachineLearningRunsCreateRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsMachineLearningRunsCreateRequest object. Fields: machineLearningRun: A MachineLearningRun resource to be passed as the request body. machineLearningRunId: Optional. The ID of the Machine Learning Run to create. parent: Required. Parent format: projects/{project}/locations/{location} """ machineLearningRun = _messages.MessageField('MachineLearningRun', 1) machineLearningRunId = _messages.StringField(2) parent = _messages.StringField(3, required=True) class HypercomputeclusterProjectsLocationsMachineLearningRunsDeleteRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsMachineLearningRunsDeleteRequest object. Fields: etag: Optional. Etag for the run. Etag gets updated with every update/create operation. If provided, it must match the server's etag. name: Required. projects/{project}/locations/{location}/machineLearningRun s/{machineLearningRun} """ etag = _messages.StringField(1) name = _messages.StringField(2, required=True) class HypercomputeclusterProjectsLocationsMachineLearningRunsGetRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsMachineLearningRunsGetRequest object. Fields: name: Required. projects/{project}/locations/{location}/machineLearningRun s/{machineLearningRun} """ name = _messages.StringField(1, required=True) class HypercomputeclusterProjectsLocationsMachineLearningRunsListRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsMachineLearningRunsListRequest object. Fields: filter: Optional. An expression for filtering the results of the request. Supported filter fields are: - run_id (string): The ID of the run (e.g., "run-1"). - run_set (string): The run set (e.g., "run-set-1"). - display_name (string): The display name of the run (e.g., "display- name-1"). - state (enum): The state of the run (e.g., "STATE_COMPLETED"). - region (string): The region of the run (e.g., "us- central1"). - orchestrator (enum): The orchestrator used for the run (e.g., "ORCHESTRATOR_GKE"). - create_time (timestamp): The creation timestamp of the run. - update_time (timestamp): The last update timestamp of the run. - etag (string): The ETag of the run. Filter expressions can be combined using "AND" and "OR" operators. Examples: To filter by a single field: `run_set = "run-set-1"` `state = "STATE_ACTIVE"` To filter by multiple fields: `run_set = "run-set-1" AND state = "STATE_ACTIVE"` `region = "us-central1" AND orchestrator = "ORCHESTRATOR_GKE"` To filter by timestamp: `create_time > "2025-05-26T10:00:00Z"` orderBy: Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: * `run_id` * `run_set` * `display_name` * `region` * `orchestrator` * `state` * `create_time` * `update_time` Example: `update_time desc, create_time`. pageSize: Optional. The maximum number of Machine Learning Runs to return. The service may return fewer than this value. If unspecified, at most 10 Machine Learning Runs will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000. Please refer to https://google.aip.dev/158 for more details. pageToken: Optional. A page token, received from a previous `ListMachineLearningRuns` call. Provide this to retrieve the subsequent page. Please refer to https://google.aip.dev/158 for more details. parent: Required. projects/{project}/locations/{location} """ filter = _messages.StringField(1) orderBy = _messages.StringField(2) pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32) pageToken = _messages.StringField(4) parent = _messages.StringField(5, required=True) class HypercomputeclusterProjectsLocationsMachineLearningRunsPatchRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsMachineLearningRunsPatchRequest object. Fields: machineLearningRun: A MachineLearningRun resource to be passed as the request body. name: Identifier. The name of the Machine Learning run. updateMask: Optional. Used to identify fields to be updated. Allowed fields is *, we don't support partial updates. """ machineLearningRun = _messages.MessageField('MachineLearningRun', 1) name = _messages.StringField(2, required=True) updateMask = _messages.StringField(3) class HypercomputeclusterProjectsLocationsMachineLearningRunsProfileSessionsGetRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsMachineLearningRunsProfileSessions GetRequest object. Fields: name: Required. projects/{project}/locations/{location}/machineLearningRun s/{machineLearningRun}/profileSessions/{profileSession} """ name = _messages.StringField(1, required=True) class HypercomputeclusterProjectsLocationsMachineLearningRunsProfileSessionsListRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsMachineLearningRunsProfileSessions ListRequest object. Fields: pageSize: Optional. The maximum number of Profile Sessions to return. The service may return fewer than this value. If unspecified, at most 50 Profile Sessions will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000. pageToken: Optional. A page token, received from a previous `ListProfileSessions` call. Provide this to retrieve the subsequent page. parent: Required. Parent format: projects/{project}/locations/{location}/m achineLearningRuns/{machineLearningRun} """ pageSize = _messages.IntegerField(1, variant=_messages.Variant.INT32) pageToken = _messages.StringField(2) parent = _messages.StringField(3, required=True) class HypercomputeclusterProjectsLocationsOperationsCancelRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsOperationsCancelRequest object. Fields: cancelOperationRequest: A CancelOperationRequest resource to be passed as the request body. name: The name of the operation resource to be cancelled. """ cancelOperationRequest = _messages.MessageField('CancelOperationRequest', 1) name = _messages.StringField(2, required=True) class HypercomputeclusterProjectsLocationsOperationsDeleteRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsOperationsDeleteRequest object. Fields: name: The name of the operation resource to be deleted. """ name = _messages.StringField(1, required=True) class HypercomputeclusterProjectsLocationsOperationsGetRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsOperationsGetRequest object. Fields: name: The name of the operation resource. """ name = _messages.StringField(1, required=True) class HypercomputeclusterProjectsLocationsOperationsListRequest(_messages.Message): r"""A HypercomputeclusterProjectsLocationsOperationsListRequest object. Fields: filter: The standard list filter. name: The name of the operation's parent resource. pageSize: The standard list page size. pageToken: The standard list page token. """ filter = _messages.StringField(1) name = _messages.StringField(2, required=True) pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32) pageToken = _messages.StringField(4) class ListClustersResponse(_messages.Message): r"""Message for response to listing Clusters Fields: clusters: The list of Cluster nextPageToken: A token identifying a page of results the server should return. unreachable: Locations that could not be reached. """ clusters = _messages.MessageField('Cluster', 1, repeated=True) nextPageToken = _messages.StringField(2) unreachable = _messages.StringField(3, repeated=True) class ListLocationsResponse(_messages.Message): r"""The response message for Locations.ListLocations. Fields: locations: A list of locations that matches the specified filter in the request. nextPageToken: The standard List next-page token. """ locations = _messages.MessageField('Location', 1, repeated=True) nextPageToken = _messages.StringField(2) class ListMachineLearningRunsResponse(_messages.Message): r"""Response message for MachineLearningRuns.ListMachineLearningRuns. Fields: machineLearningRuns: The Machine Learning Runs. nextPageToken: A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. """ machineLearningRuns = _messages.MessageField('MachineLearningRun', 1, repeated=True) nextPageToken = _messages.StringField(2) class ListOperationsResponse(_messages.Message): r"""The response message for Operations.ListOperations. Fields: nextPageToken: The standard List next-page token. operations: A list of operations that matches the specified filter in the request. """ nextPageToken = _messages.StringField(1) operations = _messages.MessageField('Operation', 2, repeated=True) class ListProfileSessionsResponse(_messages.Message): r"""Response message for MachineLearningRuns.ListProfileSessions. Fields: nextPageToken: A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. profileSessions: A list of profile sessions. """ nextPageToken = _messages.StringField(1) profileSessions = _messages.MessageField('ProfileSession', 2, repeated=True) class Location(_messages.Message): r"""A resource that represents a Google Cloud location. Messages: LabelsValue: Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"} MetadataValue: Service-specific metadata. For example the available capacity at the given location. Fields: displayName: The friendly name for this location, typically a nearby city name. For example, "Tokyo". labels: Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"} locationId: The canonical id for this location. For example: `"us-east1"`. metadata: Service-specific metadata. For example the available capacity at the given location. name: Resource name for the location, which may vary between implementations. For example: `"projects/example-project/locations/us- east1"` """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"} Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class MetadataValue(_messages.Message): r"""Service-specific metadata. For example the available capacity at the given location. Messages: AdditionalProperty: An additional property for a MetadataValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a MetadataValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) displayName = _messages.StringField(1) labels = _messages.MessageField('LabelsValue', 2) locationId = _messages.StringField(3) metadata = _messages.MessageField('MetadataValue', 4) name = _messages.StringField(5) class LustreInitializeParams(_messages.Message): r"""Message describing initialize params for lustre Fields: capacityGb: Required. Size of the lustre instance in GB description: Optional. Description of the lustre instance filesystem: Required. Immutable. Filesystem of the lustre instance lustre: Required. Name of the lustre instance """ capacityGb = _messages.IntegerField(1) description = _messages.StringField(2) filesystem = _messages.StringField(3) lustre = _messages.StringField(4) class LustreReference(_messages.Message): r"""LustreReference describes the underlying lustre resource. Fields: lustre: Output only. Name of the lustre """ lustre = _messages.StringField(1) class MachineLearningRun(_messages.Message): r"""A Machine Learning run. Enums: OrchestratorValueValuesEnum: Required. The orchestrator used for the run. StateValueValuesEnum: Output only. State of the run. Messages: LabelsValue: Optional. Any custom labels for this run Example: type:workload, type:simulation etc. Fields: artifacts: Optional. Artifacts for the run. configs: Optional. Tracks configuration for this run, example: batch_size, jax_version, tpu_generation etc. createTime: Output only. Time when the run was created. displayName: Optional. Display name for the run. etag: Optional. ETag for the run. It must be provided for update/delete operations and must match the server's etag. labels: Optional. Any custom labels for this run Example: type:workload, type:simulation etc. metrics: Optional. Metrics for the run. name: Identifier. The name of the Machine Learning run. orchestrator: Required. The orchestrator used for the run. runSet: Required. Allows grouping of similar runs. * Helps improving UI rendering performance. * Allows comparing similar runs via fast filters. state: Output only. State of the run. tools: Required. List of tools enabled for this run example: XProf, NSys updateTime: Output only. Time when the run was last updated. """ class OrchestratorValueValuesEnum(_messages.Enum): r"""Required. The orchestrator used for the run. Values: ORCHESTRATOR_UNSPECIFIED: Orchestrator type is not specified. GCE: Google Compute Engine orchestrator. GKE: Google Kubernetes Engine orchestrator. SLURM: Slurm cluster orchestrator. """ ORCHESTRATOR_UNSPECIFIED = 0 GCE = 1 GKE = 2 SLURM = 3 class StateValueValuesEnum(_messages.Enum): r"""Output only. State of the run. Values: STATE_UNSPECIFIED: State is not specified. STATE_ACTIVE: Run is active. STATE_COMPLETED: Run is completed. STATE_FAILED: Run is failed. """ STATE_UNSPECIFIED = 0 STATE_ACTIVE = 1 STATE_COMPLETED = 2 STATE_FAILED = 3 @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. Any custom labels for this run Example: type:workload, type:simulation etc. Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) artifacts = _messages.MessageField('Artifacts', 1) configs = _messages.MessageField('Configs', 2) createTime = _messages.StringField(3) displayName = _messages.StringField(4) etag = _messages.StringField(5) labels = _messages.MessageField('LabelsValue', 6) metrics = _messages.MessageField('Metrics', 7) name = _messages.StringField(8) orchestrator = _messages.EnumField('OrchestratorValueValuesEnum', 9) runSet = _messages.StringField(10) state = _messages.EnumField('StateValueValuesEnum', 11) tools = _messages.MessageField('Tool', 12, repeated=True) updateTime = _messages.StringField(13) class Metrics(_messages.Message): r"""Metrics for a Machine Learning run. Fields: avgLatency: Output only. Average latency. avgMfu: Output only. Average Model Flops Utilization (MFU). avgStep: Output only. Average step time. avgThroughput: Output only. Average throughput. Value depends on the kind of workload ran on TPU. """ avgLatency = _messages.StringField(1) avgMfu = _messages.FloatField(2, variant=_messages.Variant.FLOAT) avgStep = _messages.StringField(3) avgThroughput = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class Network(_messages.Message): r"""Message describing Network object Fields: initializeParams: Immutable. Parameters to initialize the network network: Output only. Name of the network networkSource: Immutable. Reference of existing network resource name subnetwork: Output only. Name of the subnetwork """ initializeParams = _messages.MessageField('NetworkInitializeParams', 1) network = _messages.StringField(2) networkSource = _messages.MessageField('NetworkSource', 3) subnetwork = _messages.StringField(4) class NetworkInitializeParams(_messages.Message): r"""Message describing initialize params for network object Fields: description: Optional. Description of the network network: Required. Name of the network """ description = _messages.StringField(1) network = _messages.StringField(2) class NetworkReference(_messages.Message): r"""NetworkReference describes which underlying network resource being represented. Fields: network: Output only. The name of the network. subnetwork: Output only. Subnetwork of the network. """ network = _messages.StringField(1) subnetwork = _messages.StringField(2) class NetworkResource(_messages.Message): r"""NetworkResource represents a network resource of a cluster. Fields: computeNetwork: Compute network reference. config: Immutable. Configuration to initialize the network resource. network: Network reference. """ computeNetwork = _messages.MessageField('ComputeNetworkReference', 1) config = _messages.MessageField('NetworkResourceConfig', 2) network = _messages.MessageField('NetworkReference', 3) class NetworkResourceConfig(_messages.Message): r"""NetworkResourceConfig describe how the network resource is initialized. Fields: existingComputeNetwork: Immutable. ExistingComputeNetworkConfig represents the configuration of an existing compute network which will be used by the cluster. existingNetwork: Immutable. ExistingNetworkConfig represents the configuration of an existing network which will be used by the cluster. newComputeNetwork: Immutable. NewComputeNetworkConfig represents the configuration to create a new compute network for the cluster. newNetwork: Immutable. NewNetworkConfig represents the configuration to create a new network for the cluster. """ existingComputeNetwork = _messages.MessageField('ExistingComputeNetworkConfig', 1) existingNetwork = _messages.MessageField('ExistingNetworkConfig', 2) newComputeNetwork = _messages.MessageField('NewComputeNetworkConfig', 3) newNetwork = _messages.MessageField('NewNetworkConfig', 4) class NetworkSource(_messages.Message): r"""Message describing network source for network object Fields: network: Required. Immutable. Name of the network subnetwork: Required. Subnetwork of the network """ network = _messages.StringField(1) subnetwork = _messages.StringField(2) class NewBucketConfig(_messages.Message): r"""NewBucketConfig describes the config to initialize a new bucket. Enums: StorageClassValueValuesEnum: Default storage class for objects in the bucket. Fields: autoclass: Autoclass configuration for objects in the bucket. bucket: Immutable. Name of the bucket hierarchicalNamespace: Optional. Immutable. The hierarchical namespace configuration of the bucket storageClass: Default storage class for objects in the bucket. """ class StorageClassValueValuesEnum(_messages.Enum): r"""Default storage class for objects in the bucket. Values: STORAGE_CLASS_UNSPECIFIED: Unspecified storage class STANDARD: Standard storage class NEARLINE: Nearline storage class COLDLINE: Coldline storage class ARCHIVE: Archive storage class """ STORAGE_CLASS_UNSPECIFIED = 0 STANDARD = 1 NEARLINE = 2 COLDLINE = 3 ARCHIVE = 4 autoclass = _messages.MessageField('GcsAutoclassConfig', 1) bucket = _messages.StringField(2) hierarchicalNamespace = _messages.MessageField('GcsHierarchicalNamespaceConfig', 3) storageClass = _messages.EnumField('StorageClassValueValuesEnum', 4) class NewComputeNetworkConfig(_messages.Message): r"""NewComputeNetworkConfig represents the configuration to create a new compute network for the cluster. Fields: description: Immutable. Description of the network. network: Immutable. The name of the network. """ description = _messages.StringField(1) network = _messages.StringField(2) class NewDWSFlexInstancesConfig(_messages.Message): r"""NewDWSFlexInstancesConfig describes the config to create new dws flex instances. Enums: TerminationActionValueValuesEnum: Optional. Specifies the termination action of the instance Fields: bootDisk: Immutable. Boot disk for the instances machineType: Immutable. Machine type of the instance maxDuration: Immutable. Max duration of the instance terminationAction: Optional. Specifies the termination action of the instance zone: Immutable. Zone of the instance """ class TerminationActionValueValuesEnum(_messages.Enum): r"""Optional. Specifies the termination action of the instance Values: TERMINATION_ACTION_UNSPECIFIED: Unspecified termination action STOP: Stop the instance DELETE: Delete the instance """ TERMINATION_ACTION_UNSPECIFIED = 0 STOP = 1 DELETE = 2 bootDisk = _messages.MessageField('Disk', 1) machineType = _messages.StringField(2) maxDuration = _messages.StringField(3) terminationAction = _messages.EnumField('TerminationActionValueValuesEnum', 4) zone = _messages.StringField(5) class NewFilestoreConfig(_messages.Message): r"""NewFilestoreConfig describes the config to initialize a new filestore. Enums: ProtocolValueValuesEnum: Optional. Immutable. The protocol of the filestore TierValueValuesEnum: Required. Immutable. The service tier of the filestore Fields: description: Optional. Immutable. Description of the filestore fileShares: Required. Immutable. File share configuration filestore: Immutable. Name of the filestore protocol: Optional. Immutable. The protocol of the filestore tier: Required. Immutable. The service tier of the filestore """ class ProtocolValueValuesEnum(_messages.Enum): r"""Optional. Immutable. The protocol of the filestore Values: PROTOCOL_UNSPECIFIED: Unspecified filestore protocol NFSV3: NFSv3 NFSV41: NFSv4.1 """ PROTOCOL_UNSPECIFIED = 0 NFSV3 = 1 NFSV41 = 2 class TierValueValuesEnum(_messages.Enum): r"""Required. Immutable. The service tier of the filestore Values: TIER_UNSPECIFIED: Unspecified filestore tier BASIC_HDD: Basic HDD filestore tier BASIC_SSD: Basic SSD filestore tier HIGH_SCALE_SSD: High scale SSD filestore tier ZONAL: Zonal filestore tier ENTERPRISE: Enterprise filestore tier REGIONAL: Regional filestore tier """ TIER_UNSPECIFIED = 0 BASIC_HDD = 1 BASIC_SSD = 2 HIGH_SCALE_SSD = 3 ZONAL = 4 ENTERPRISE = 5 REGIONAL = 6 description = _messages.StringField(1) fileShares = _messages.MessageField('FileShareConfig', 2, repeated=True) filestore = _messages.StringField(3) protocol = _messages.EnumField('ProtocolValueValuesEnum', 4) tier = _messages.EnumField('TierValueValuesEnum', 5) class NewLustreConfig(_messages.Message): r"""NewLustreConfig describes the config to initialize a new lustre. Fields: capacityGb: Required. Immutable. Size of the lustre instance in GB description: Optional. Immutable. Description of the lustre instance filesystem: Required. Immutable. Filesystem of the lustre instance lustre: Immutable. Name of the lustre """ capacityGb = _messages.IntegerField(1) description = _messages.StringField(2) filesystem = _messages.StringField(3) lustre = _messages.StringField(4) class NewNetworkConfig(_messages.Message): r"""NewNetworkConfig represents the configuration to create a new network for the cluster. Fields: description: Immutable. Description of the network. network: Immutable. The name of the network. """ description = _messages.StringField(1) network = _messages.StringField(2) class NewOnDemandInstancesConfig(_messages.Message): r"""NewOnDemandInstancesConfig describes the config to create new on demand instances. Fields: bootDisk: Immutable. Boot disk for the instances machineType: Immutable. Machine type of the instance zone: Immutable. Zone of the instance """ bootDisk = _messages.MessageField('Disk', 1) machineType = _messages.StringField(2) zone = _messages.StringField(3) class NewReservedInstancesConfig(_messages.Message): r"""NewReservedInstancesConfig describes the config to create new reserved instances. Enums: TypeValueValuesEnum: Required. Specifies the type of reservation instance can consume resources Fields: bootDisk: Immutable. Boot disk for the instances machineType: Immutable. Machine type of instances reservation: Immutable. Reservation name of the instance type: Required. Specifies the type of reservation instance can consume resources zone: Immutable. Zone of the instances """ class TypeValueValuesEnum(_messages.Enum): r"""Required. Specifies the type of reservation instance can consume resources Values: RESERVATION_TYPE_UNSPECIFIED: Unspecified reservation type NO_RESERVATION: No reservation type ANY_RESERVATION: Any reservation type SPECIFIC_RESERVATION: Specific reservation type """ RESERVATION_TYPE_UNSPECIFIED = 0 NO_RESERVATION = 1 ANY_RESERVATION = 2 SPECIFIC_RESERVATION = 3 bootDisk = _messages.MessageField('Disk', 1) machineType = _messages.StringField(2) reservation = _messages.StringField(3) type = _messages.EnumField('TypeValueValuesEnum', 4) zone = _messages.StringField(5) class NewSpotInstancesConfig(_messages.Message): r"""NewSpotInstancesConfig describes the config to create new spot instances. Fields: bootDisk: Immutable. Boot disk for the instances machineType: Immutable. Machine type of the instance zone: Immutable. Zone of the instance """ bootDisk = _messages.MessageField('Disk', 1) machineType = _messages.StringField(2) zone = _messages.StringField(3) class Operation(_messages.Message): r"""This resource represents a long-running operation that is the result of a network API call. Messages: MetadataValue: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. ResponseValue: The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. Fields: done: If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. error: The error result of the operation in case of failure or cancellation. metadata: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. name: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. response: The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. """ @encoding.MapUnrecognizedFields('additionalProperties') class MetadataValue(_messages.Message): r"""Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. Messages: AdditionalProperty: An additional property for a MetadataValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a MetadataValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class ResponseValue(_messages.Message): r"""The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. Messages: AdditionalProperty: An additional property for a ResponseValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a ResponseValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) done = _messages.BooleanField(1) error = _messages.MessageField('Status', 2) metadata = _messages.MessageField('MetadataValue', 3) name = _messages.StringField(4) response = _messages.MessageField('ResponseValue', 5) class OperationMetadata(_messages.Message): r"""Represents the metadata of the long-running operation. Fields: apiVersion: Output only. API version used to start the operation. createTime: Output only. The time the operation was created. endTime: Output only. The time the operation finished running. requestedCancellation: Output only. Identifies whether the user has requested cancellation of the operation. Operations that have been cancelled successfully have google.longrunning.Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`. target: Output only. Server-defined resource path for the target of the operation. verb: Output only. Name of the verb executed by the operation. """ apiVersion = _messages.StringField(1) createTime = _messages.StringField(2) endTime = _messages.StringField(3) requestedCancellation = _messages.BooleanField(4) target = _messages.StringField(5) verb = _messages.StringField(6) class Orchestrator(_messages.Message): r"""Message describing Orchestrator object Fields: slurm: Simple Linux Utility for Resource Management """ slurm = _messages.MessageField('SlurmOrchestrator', 1) class ProfileSession(_messages.Message): r"""Represents a single profiling session. Fields: createTime: Output only. The creation time of the session. dashboardUrl: Output only. The URL to dashboard to see session specific data. Not specified if URL is not ready yet. Currently represents only Xprof. Form https://? Could contains user information like bucket name etc. gcsPath: Output only. The cloud storage path of the session. Example: `gs://my-bucket/my-run-directory/session-1`. name: Identifier. The name of the profile session. Format: projects/{proje ct}/locations/{location}/machineLearningRuns/{machine_learning_run}/prof ileSessions/{profile_session} """ createTime = _messages.StringField(1) dashboardUrl = _messages.StringField(2) gcsPath = _messages.StringField(3) name = _messages.StringField(4) class ReservationAffinity(_messages.Message): r"""Message describing ReservationAffinity object Enums: TypeValueValuesEnum: Required. Specifies the type of reservation instance can consume resources Fields: key: Optional. Label key of a reservation resource type: Required. Specifies the type of reservation instance can consume resources values: Optional. Label values of a reservation resource """ class TypeValueValuesEnum(_messages.Enum): r"""Required. Specifies the type of reservation instance can consume resources Values: RESERVATION_TYPE_UNSPECIFIED: Unspecified reservation type RESERVATION_TYPE_NO_RESERVATION: No reservation type RESERVATION_TYPE_ANY_RESERVATION: Any reservation type RESERVATION_TYPE_SPECIFIC_RESERVATION: Specific reservation type """ RESERVATION_TYPE_UNSPECIFIED = 0 RESERVATION_TYPE_NO_RESERVATION = 1 RESERVATION_TYPE_ANY_RESERVATION = 2 RESERVATION_TYPE_SPECIFIC_RESERVATION = 3 key = _messages.StringField(1) type = _messages.EnumField('TypeValueValuesEnum', 2) values = _messages.StringField(3, repeated=True) class ResourceRequest(_messages.Message): r"""Message describing resource request object Enums: ProvisioningModelValueValuesEnum: Optional. Specifies the provisioning model of the instance TerminationActionValueValuesEnum: Optional. Specifies the termination action of the instance Fields: disks: Optional. Array of disks associated with this instance guestAccelerators: Optional. Type and count of accelerator cards attached to the instance id: Required. Id of resource request machineType: Required. Type of the machine e.g. c2-standard-60 maxRunDuration: Optional. Max amount of time instance is allowed to run provisioningModel: Optional. Specifies the provisioning model of the instance reservationAffinity: Optional. Reservations this instance can consume from terminationAction: Optional. Specifies the termination action of the instance zone: Required. Zone of the selected locations """ class ProvisioningModelValueValuesEnum(_messages.Enum): r"""Optional. Specifies the provisioning model of the instance Values: PROVISIONING_MODEL_UNSPECIFIED: Unspecified provisioning model PROVISIONING_MODEL_STANDARD: Standard provisioning model PROVISIONING_MODEL_SPOT: Spot provisioning model PROVISIONING_MODEL_FLEX_START: Flex Start provisioning model PROVISIONING_MODEL_RESERVATION_BOUND: Reservation Bound provisioning model """ PROVISIONING_MODEL_UNSPECIFIED = 0 PROVISIONING_MODEL_STANDARD = 1 PROVISIONING_MODEL_SPOT = 2 PROVISIONING_MODEL_FLEX_START = 3 PROVISIONING_MODEL_RESERVATION_BOUND = 4 class TerminationActionValueValuesEnum(_messages.Enum): r"""Optional. Specifies the termination action of the instance Values: TERMINATION_ACTION_UNSPECIFIED: Unspecified termination action TERMINATION_ACTION_STOP: Stop the instance TERMINATION_ACTION_DELETE: Delete the instance """ TERMINATION_ACTION_UNSPECIFIED = 0 TERMINATION_ACTION_STOP = 1 TERMINATION_ACTION_DELETE = 2 disks = _messages.MessageField('Disk', 1, repeated=True) guestAccelerators = _messages.MessageField('GuestAccelerator', 2, repeated=True) id = _messages.StringField(3) machineType = _messages.StringField(4) maxRunDuration = _messages.IntegerField(5) provisioningModel = _messages.EnumField('ProvisioningModelValueValuesEnum', 6) reservationAffinity = _messages.MessageField('ReservationAffinity', 7) terminationAction = _messages.EnumField('TerminationActionValueValuesEnum', 8) zone = _messages.StringField(9) class ServiceAccount(_messages.Message): r"""Service account email and scopes Fields: email: Optional. Service account email scopes: Optional. Service account scopes """ email = _messages.StringField(1) scopes = _messages.StringField(2, repeated=True) class SlurmConfig(_messages.Message): r"""Slurm orchestrator configuration. Values correspond to a subset of those found in https://slurm.schedmd.com/slurm.conf.html. Enums: AccountingStorageEnforceFlagsValueListEntryValuesEnum: PreemptModeValueListEntryValuesEnum: PreemptTypeValueValuesEnum: Optional. Specifies the plugin used to identify which jobs can be preempted in order to start a pending job. PriorityTypeValueValuesEnum: Optional. Specifies the plugin to be used in establishing a job's scheduling priority. Set this value to "priority/multifactor" to enable the Multifactor Job Priority Plugin. PrologFlagsValueListEntryValuesEnum: Fields: accountingStorageEnforceFlags: Optional. Flags to control the level of association-based enforcement to impose on job submissions. By default no flags are set. Corresponds to AccountingStorageEnforce. preemptExemptTime: Optional. Specifies minimum run time of jobs before they are considered for preemption. preemptMode: Optional. Specifies the mechanism used to preempt jobs or enable gang scheduling. preemptType: Optional. Specifies the plugin used to identify which jobs can be preempted in order to start a pending job. priorityType: Optional. Specifies the plugin to be used in establishing a job's scheduling priority. Set this value to "priority/multifactor" to enable the Multifactor Job Priority Plugin. priorityWeightAge: Optional. An unsigned integer that scales the contribution of the age factor. priorityWeightAssoc: Optional. An unsigned integer that scales the contribution of the association factor. priorityWeightFairshare: Optional. An unsigned integer that scales the contribution of the fair-share factor. priorityWeightJobSize: Optional. An unsigned integer that scales the contribution of the job size factor. priorityWeightPartition: Optional. An unsigned integer that scales the contribution of the partition factor. priorityWeightQos: Optional. An unsigned integer that scales the contribution of the quality of service factor. priorityWeightTres: Optional. A comma-separated list of TRES Types and weights that sets the degree that each TRES Type contributes to the job's priority. prologEpilogTimeout: Optional. The interval Slurm waits for Prolog and Epilog before terminating them. Default is 65534 seconds. Corresponds to PrologEpilogTimeout. prologFlags: Optional. Flags to control the Prolog behavior. By default no flags are set. Corresponds to PrologFlags. requeueExitCodes: Optional. Enables automatic requeue for batch jobs which exit with the specified values. Default is empty. Corresponds to RequeueExit. requeueHoldExitCodes: Optional. Enables automatic requeue for batch jobs which exit with the specified values, with these jobs being held until released manually by the user. Default is empty. Corresponds to RequeueExitHold. """ class AccountingStorageEnforceFlagsValueListEntryValuesEnum(_messages.Enum): r"""AccountingStorageEnforceFlagsValueListEntryValuesEnum enum type. Values: ACCOUNTING_STORAGE_ENFORCE_FLAG_UNSPECIFIED: Unspecified accounting storage enforce flag. ALL: Implies all other available options except nojobs and nosteps. ASSOCIATIONS: No new job will be allowed to run unless a corresponding association exists in the system. LIMITS: Users will be limited by association to whatever job size or run time limits are defined. Implies associations. NOJOBS: Slurm will not account for any jobs or steps on the system. Implies nosteps. NOSTEPS: Slurm will not account for any steps that have run. QOS: Jobs will not be scheduled unless a valid qos is specified. Implies associations. SAFE: A job will only be launched against an association or qos that has a TRES-minutes limit set if the job will be able to run to completion. Without this option set, jobs will be launched as long as their usage hasn't reached the TRES-minutes limit. This can lead to jobs being launched but then killed when the limit is reached. With this option, a job won't be killed due to limits, even if the limits are changed after the job was started and the association or qos violates the updated limits. Implies limits and associations. WCKEYS: Jobs will not be scheduled unless a valid workload characterization key is specified. Implies associations and TrackWCKey (a separate configuration option). """ ACCOUNTING_STORAGE_ENFORCE_FLAG_UNSPECIFIED = 0 ALL = 1 ASSOCIATIONS = 2 LIMITS = 3 NOJOBS = 4 NOSTEPS = 5 QOS = 6 SAFE = 7 WCKEYS = 8 class PreemptModeValueListEntryValuesEnum(_messages.Enum): r"""PreemptModeValueListEntryValuesEnum enum type. Values: PREEMPT_MODE_UNSPECIFIED: Unspecified preempt mode. OFF: Is the default value and disables job preemption and gang scheduling. CANCEL: The preempted job will be cancelled GANG: Enables gang scheduling (time slicing) of jobs in the same partition, and allows the resuming of suspended jobs. REQUEUE: Preempts jobs by requeuing them (if possible) or canceling them. SUSPEND: The preempted jobs will be suspended, and later the Gang scheduler will resume them. PRIORITY: Allow preemption only if the preemptor's job priority is higher than the preemptee's job priority. WITHIN: Allow jobs within the same qos to preempt one another. """ PREEMPT_MODE_UNSPECIFIED = 0 OFF = 1 CANCEL = 2 GANG = 3 REQUEUE = 4 SUSPEND = 5 PRIORITY = 6 WITHIN = 7 class PreemptTypeValueValuesEnum(_messages.Enum): r"""Optional. Specifies the plugin used to identify which jobs can be preempted in order to start a pending job. Values: PREEMPT_TYPE_UNSPECIFIED: Unspecified preempt type. PREEMPT_NONE: Job preemption is disabled (default). PREEMPT_PARTITION_PRIO: Job preemption is based upon partition PriorityTier. PREEMPT_QOS: Job preemption rules are specified by Quality Of Service (QOS) specifications in the Slurm database. """ PREEMPT_TYPE_UNSPECIFIED = 0 PREEMPT_NONE = 1 PREEMPT_PARTITION_PRIO = 2 PREEMPT_QOS = 3 class PriorityTypeValueValuesEnum(_messages.Enum): r"""Optional. Specifies the plugin to be used in establishing a job's scheduling priority. Set this value to "priority/multifactor" to enable the Multifactor Job Priority Plugin. Values: PRIORITY_TYPE_UNSPECIFIED: Unspecified priority type. PRIORITY_BASIC: Jobs are evaluated in a First In, First Out (FIFO) manner. PRIORITY_MULTIFACTOR: Jobs are assigned a priority based upon a variety of factors that include size, age, Fairshare, etc. """ PRIORITY_TYPE_UNSPECIFIED = 0 PRIORITY_BASIC = 1 PRIORITY_MULTIFACTOR = 2 class PrologFlagsValueListEntryValuesEnum(_messages.Enum): r"""PrologFlagsValueListEntryValuesEnum enum type. Values: PROLOG_FLAG_UNSPECIFIED: Unspecified prolog flag. ALLOC: Prolog script will be executed at job allocation. NOTE: increases the time required to start jobs. Corresponds to Alloc. CONTAIN: Use the ProcTrack plugin to create a job container on all allocated compute nodes. Corresponds to Contain. DEFER_BATCH: Slurmctld will wait until the prolog completes on all allocated nodes before sending the batch job launch request. Corresponds to DeferBatch. NO_HOLD: If set, the ALLOC flag should also be set. This will allow for salloc to not block until the prolog is finished on each node. Corresponds to NoHold. FORCE_REQUEUE_ON_FAIL: Always requeue it automatically even if the job requested no requeues. NOTE: Setting this flag implicitly sets the ALLOC flag. Corresponds to ForceRequeueOnFail. RUN_IN_JOB: Make the Prolog/Epilog run in the extern slurmstepd. Corresponds to RunInJob. SERIAL: Force prolog and epilog scripts to run serially within each node. NOTE: This is incompatible with Serial. X11: Enable Slurm's built-in X11 forwarding capabilities. Corresponds to X11. """ PROLOG_FLAG_UNSPECIFIED = 0 ALLOC = 1 CONTAIN = 2 DEFER_BATCH = 3 NO_HOLD = 4 FORCE_REQUEUE_ON_FAIL = 5 RUN_IN_JOB = 6 SERIAL = 7 X11 = 8 accountingStorageEnforceFlags = _messages.EnumField('AccountingStorageEnforceFlagsValueListEntryValuesEnum', 1, repeated=True) preemptExemptTime = _messages.StringField(2) preemptMode = _messages.EnumField('PreemptModeValueListEntryValuesEnum', 3, repeated=True) preemptType = _messages.EnumField('PreemptTypeValueValuesEnum', 4) priorityType = _messages.EnumField('PriorityTypeValueValuesEnum', 5) priorityWeightAge = _messages.IntegerField(6) priorityWeightAssoc = _messages.IntegerField(7) priorityWeightFairshare = _messages.IntegerField(8) priorityWeightJobSize = _messages.IntegerField(9) priorityWeightPartition = _messages.IntegerField(10) priorityWeightQos = _messages.IntegerField(11) priorityWeightTres = _messages.StringField(12) prologEpilogTimeout = _messages.StringField(13) prologFlags = _messages.EnumField('PrologFlagsValueListEntryValuesEnum', 14, repeated=True) requeueExitCodes = _messages.IntegerField(15, repeated=True) requeueHoldExitCodes = _messages.IntegerField(16, repeated=True) class SlurmLoginNodes(_messages.Message): r"""Message describing set of Slurm Login Node object Messages: LabelsValue: Optional. Labels for the login node Fields: count: Required. Number of login nodes to create disks: Required. Array of disks associated with the login node enableOsLogin: Optional. Whether to enable OS login for the login node enablePublicIps: Optional. Whether to enable public IPs for the login node instances: Output only. Compute instance details of the login nodes. labels: Optional. Labels for the login node machineType: Required. Type of the machine serviceAccount: Optional. Service account to be used by the nodes in the login nodeset. startupScript: Optional. Startup script for the login node storageConfigs: Optional. Storage configs zone: Required. Zone of the login node """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. Labels for the login node Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) count = _messages.IntegerField(1) disks = _messages.MessageField('Disk', 2, repeated=True) enableOsLogin = _messages.BooleanField(3) enablePublicIps = _messages.BooleanField(4) instances = _messages.MessageField('ComputeInstance', 5, repeated=True) labels = _messages.MessageField('LabelsValue', 6) machineType = _messages.StringField(7) serviceAccount = _messages.MessageField('ServiceAccount', 8) startupScript = _messages.StringField(9) storageConfigs = _messages.MessageField('StorageConfig', 10, repeated=True) zone = _messages.StringField(11) class SlurmNodeSet(_messages.Message): r"""Message describing Slurm NodeSet object Messages: LabelsValue: Optional. Labels for the nodeset Fields: bootDisk: Optional. Boot disk for the nodeset canIpForward: Optional. Whether login node can forward IP packets computeId: Optional. Compute id of the nodeset computeInstance: Optional. Compute instance details of the nodes. containerNodePool: Optional. Container node pool details of the nodes. enableOsLogin: Optional. Whether to enable OS login for the nodeset enablePublicIps: Optional. Whether to enable public IPs for the nodeset id: Required. Id of the nodeset labels: Optional. Labels for the nodeset maxDynamicNodeCount: Optional. Maximum number of auto-scaling nodes allowed in the nodeset resourceRequestId: Optional. Resource request id for the nodeset serviceAccount: Optional. Service account to be used by the nodes in the nodeset. startupScript: Optional. Startup script for the nodeset staticNodeCount: Optional. Number of nodes to be statically created storageConfigs: Optional. Storage configs """ @encoding.MapUnrecognizedFields('additionalProperties') class LabelsValue(_messages.Message): r"""Optional. Labels for the nodeset Messages: AdditionalProperty: An additional property for a LabelsValue object. Fields: additionalProperties: Additional properties of type LabelsValue """ class AdditionalProperty(_messages.Message): r"""An additional property for a LabelsValue object. Fields: key: Name of the additional property. value: A string attribute. """ key = _messages.StringField(1) value = _messages.StringField(2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) bootDisk = _messages.MessageField('Disk', 1) canIpForward = _messages.BooleanField(2) computeId = _messages.StringField(3) computeInstance = _messages.MessageField('ComputeInstanceSlurmNodeSet', 4) containerNodePool = _messages.MessageField('ContainerNodePoolSlurmNodeSet', 5) enableOsLogin = _messages.BooleanField(6) enablePublicIps = _messages.BooleanField(7) id = _messages.StringField(8) labels = _messages.MessageField('LabelsValue', 9) maxDynamicNodeCount = _messages.IntegerField(10) resourceRequestId = _messages.StringField(11) serviceAccount = _messages.MessageField('ServiceAccount', 12) startupScript = _messages.StringField(13) staticNodeCount = _messages.IntegerField(14) storageConfigs = _messages.MessageField('StorageConfig', 15, repeated=True) class SlurmOrchestrator(_messages.Message): r"""Message describing Slurm Orchestrator object Fields: config: Optional. Optional Slurm configuration available only in v1alpha. defaultPartition: Optional. Default partition epilogBashScripts: Optional. Custom bash scripts executed after each slurm job on every allocated node. Scripts will be copied to /slurm/custom_scripts/epilog.d/. loginNodes: Optional. Set of slurm login nodes nodeSets: Required. List of slurm nodesets partitions: Required. List of slurm partition prologBashScripts: Optional. Custom bash scripts executed before each slurm job on every allocated node. Scripts will be copied to /slurm/custom_scripts/prolog.d/. taskEpilogBashScripts: Optional. Custom bash scripts executed after each slurm task on every allocated node. Scripts will be copied to /slurm/custom_scripts/task_epilog.d/. taskPrologBashScripts: Optional. Custom bash scripts executed before each slurm task on every allocated node. Scripts will be copied to /slurm/custom_scripts/task_prolog.d/. """ config = _messages.MessageField('SlurmConfig', 1) defaultPartition = _messages.StringField(2) epilogBashScripts = _messages.StringField(3, repeated=True) loginNodes = _messages.MessageField('SlurmLoginNodes', 4) nodeSets = _messages.MessageField('SlurmNodeSet', 5, repeated=True) partitions = _messages.MessageField('SlurmPartition', 6, repeated=True) prologBashScripts = _messages.StringField(7, repeated=True) taskEpilogBashScripts = _messages.StringField(8, repeated=True) taskPrologBashScripts = _messages.StringField(9, repeated=True) class SlurmPartition(_messages.Message): r"""Message describing Slurm Partition object Fields: exclusive: Optional. Exclusive job access to nodes True: nodes execute single job and are deleted after job exits False: nodes can execute multiple jobs id: Required. Id of the slurm partiton nodeSetIds: Required. Nodeset for the slurm partition """ exclusive = _messages.BooleanField(1) id = _messages.StringField(2) nodeSetIds = _messages.StringField(3, repeated=True) class StandardQueryParameters(_messages.Message): r"""Query parameters accepted by all methods. Enums: FXgafvValueValuesEnum: V1 error format. AltValueValuesEnum: Data format for response. Fields: f__xgafv: V1 error format. access_token: OAuth access token. alt: Data format for response. callback: JSONP fields: Selector specifying which fields to include in a partial response. key: API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token. oauth_token: OAuth 2.0 token for the current user. prettyPrint: Returns response with indentations and line breaks. quotaUser: Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. trace: A tracing token of the form "token:" to include in api requests. uploadType: Legacy upload protocol for media (e.g. "media", "multipart"). upload_protocol: Upload protocol for media (e.g. "raw", "multipart"). """ class AltValueValuesEnum(_messages.Enum): r"""Data format for response. Values: json: Responses with Content-Type of application/json media: Media download with context-dependent Content-Type proto: Responses with Content-Type of application/x-protobuf """ json = 0 media = 1 proto = 2 class FXgafvValueValuesEnum(_messages.Enum): r"""V1 error format. Values: _1: v1 error format _2: v2 error format """ _1 = 0 _2 = 1 f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1) access_token = _messages.StringField(2) alt = _messages.EnumField('AltValueValuesEnum', 3, default='json') callback = _messages.StringField(4) fields = _messages.StringField(5) key = _messages.StringField(6) oauth_token = _messages.StringField(7) prettyPrint = _messages.BooleanField(8, default=True) quotaUser = _messages.StringField(9) trace = _messages.StringField(10) uploadType = _messages.StringField(11) upload_protocol = _messages.StringField(12) class Status(_messages.Message): r"""The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). Messages: DetailsValueListEntry: A DetailsValueListEntry object. Fields: code: The status code, which should be an enum value of google.rpc.Code. details: A list of messages that carry the error details. There is a common set of message types for APIs to use. message: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. """ @encoding.MapUnrecognizedFields('additionalProperties') class DetailsValueListEntry(_messages.Message): r"""A DetailsValueListEntry object. Messages: AdditionalProperty: An additional property for a DetailsValueListEntry object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a DetailsValueListEntry object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) code = _messages.IntegerField(1, variant=_messages.Variant.INT32) details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True) message = _messages.StringField(3) class Storage(_messages.Message): r"""Message describing Storage object Fields: id: Required. Storage id initializeParams: Immutable. Parameters to initialize the storage storage: Output only. Storage name storageSource: Immutable. Reference of existing storage """ id = _messages.StringField(1) initializeParams = _messages.MessageField('StorageInitializeParams', 2) storage = _messages.StringField(3) storageSource = _messages.MessageField('StorageSource', 4) class StorageConfig(_messages.Message): r"""Message describing StorageConfig object Fields: id: Required. Id of the storage localMount: Optional. Mountpoint for the storage """ id = _messages.StringField(1) localMount = _messages.StringField(2) class StorageInitializeParams(_messages.Message): r"""Message describing initialize params for storage object Fields: filestore: FileStore initialize params gcs: Google Cloud Storage initialize params lustre: Lustre initialize params """ filestore = _messages.MessageField('FilestoreInitializeParams', 1) gcs = _messages.MessageField('GcsInitializeParams', 2) lustre = _messages.MessageField('LustreInitializeParams', 3) class StorageResource(_messages.Message): r"""StorageResource represents a storage resource of a cluster. Fields: bucket: Bucket reference config: Optional. Describes config to initialize the storage resource. filestore: Filestore reference lustre: Lustre reference """ bucket = _messages.MessageField('BucketReference', 1) config = _messages.MessageField('StorageResourceConfig', 2) filestore = _messages.MessageField('FilestoreReference', 3) lustre = _messages.MessageField('LustreReference', 4) class StorageResourceConfig(_messages.Message): r"""StorageResourceConfig describes the config to initialize the storage resource. Fields: existingBucket: Existing bucket config existingFilestore: Existing filestore config existingLustre: Existing lustre config newBucket: New bucket config newFilestore: New filestore config newLustre: New lustre config """ existingBucket = _messages.MessageField('ExistingBucketConfig', 1) existingFilestore = _messages.MessageField('ExistingFilestoreConfig', 2) existingLustre = _messages.MessageField('ExistingLustreConfig', 3) newBucket = _messages.MessageField('NewBucketConfig', 4) newFilestore = _messages.MessageField('NewFilestoreConfig', 5) newLustre = _messages.MessageField('NewLustreConfig', 6) class StorageSource(_messages.Message): r"""Message describing source of storage Fields: bucket: Name of the existing Google Cloud Storage bucket filestore: Name of the existing filestore lustre: Name of the existing Lustre instance """ bucket = _messages.StringField(1) filestore = _messages.StringField(2) lustre = _messages.StringField(3) class Tool(_messages.Message): r"""A tool for a Machine Learning run. Fields: xprof: Required. XProf related metadata """ xprof = _messages.MessageField('Xprof', 1) class Xprof(_messages.Message): r"""XProf related metadata TODO(b/419397021) - Define or link XProf tool proto for run tools. Fields: sessionId: Required. TODO(b/419397021) - Add XProf related metadata. """ sessionId = _messages.StringField(1) encoding.AddCustomJsonFieldMapping( StandardQueryParameters, 'f__xgafv', '$.xgafv') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2')