SrSSKJr SSKJr SSKJr SSKrSSKJr SSKJr SSK J r SS K J r SS K J r SS K Jr SS KJr SS KJr SSKJr \R,"S\R."S5S9r\R,"SS\R2"\\\\\\\\\S. S9S\R."S5S9r\R,"SSS\R."S5S9rSr\ R>4Sjr g) z4Flags definition for gcloud ai persistent-resources.)absolute_import)division)unicode_literalsN) arg_parsers)base)concepts) constants)flags) region_util)persistent_resource_util) labels_util)concept_parsersz--configa Path to the Persistent Resource configuration file. This file should be a YAML document containing a list of `ResourcePool` If an option is specified both in the configuration file **and** via command-line arguments, the command-line arguments override the configuration file. Note that keys with underscore are invalid. Example(YAML): resourcePoolSpecs: machineSpec: machineType: n1-standard-4 replicaCount: 1)helpz--resource-pool-specappend) z replica-countzmin-replica-countzmax-replica-countz machine-typezaccelerator-typezaccelerator-countz disk-typez disk-sizezlocal-ssd-count)specRESOURCE_POOL_SPECa Defines a resource pool to be created in the Persistent Resource. You can include multiple resource pool specs in order to create a Persistent Resource with multiple resource pools. The spec can contain the following fields: *machine-type*::: (Required): The type of the machine. see https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types for supported types. This field corresponds to the `machineSpec.machineType` field in `ResourcePool` API message. *replica-count*::: (Required if autoscaling not enabled) The number of replicas to use when creating this resource pool. This field corresponds to the replicaCount field in 'ResourcePool' API message. *min-replica-count*::: (Optional) The minimum number of replicas that autoscaling will down-size to for this resource pool. Both min-replica-count and max-replica-count are required to enable autoscaling on this resource pool. The value for this parameter must be at least 1. *max-replica-count*::: (Optional) The maximum number of replicas that autoscaling will create for this resource pool. Both min-replica-count and max-replica-count are required to enable autoscaling on this resource pool. The maximum value for this parameter is 1000. *accelerator-type*::: (Optional) The type of GPU to attach to the machines. see https://cloud.google.com/vertex-ai/docs/training/configure-compute#specifying_gpus for more requirements. This field corresponds to the `machineSpec.acceleratorType` field in `ResourcePool` API message. *accelerator-count*::: (Required with accelerator-type) The number of GPUs for each VM in the resource pool to use. The default the value if 1. This field corresponds to the `machineSpec.acceleratorCount` field in `ResourcePool` API message. *disk-type*::: (Optional) The type of disk to use for each machine's boot disk in the resource pool. The default is `pd-standard`. This field corresponds to the `diskSpec.bootDiskType` field in `ResourcePool` API message. *disk-size*::: (Optional) The disk size in Gb for each machine's boot disk in the resource pool. The default is `100`. This field corresponds to the `diskSpec.bootDiskSizeGb` field in `ResourcePool` API message. :::: Example: --worker-pool-spec=replica-count=1,machine-type=n1-highmem-2 )actiontypemetavarrz--enable-custom-service-account store_trueFzm Whether or not to use a custom user-managed service account with this Persistent Resource. )rrequiredrcn[R"US[R"[R 5S9 [R RU5 [RU5 [R"US5 [R"U5 [R"SSS9RU5 [R"SSS S S 9nURU5 [R"S SS 9nUR!["5 UR![$5 URU5 g )z3Adds flags related to create a Persistent Resource.zto create a Persistent Resource prompt_funcpersistent resourcezPersistent ResourceFrz--persistent-resource-idTNz-User-specified ID of the Persistent Resource.)rdefaultrzresource pool specification.)rr) shared_flagsAddRegionResourceArgr GetPromptForRegionFuncr SUPPORTED_TRAINING_REGIONSNETWORK AddToParserENABLE_CUSTOM_SERVICE_ACCOUNTAddKmsKeyResourceArgr AddCreateLabelsFlagsGetDisplayNameArgrArgument ArgumentGroup AddArgument_PERSISTENT_RESOURCE_CONFIG_RESOURCE_POOL_SPEC)parserresource_id_flagresource_pool_spec_groups ?lib/googlecloudsdk/command_lib/ai/persistent_resources/flags.py AddCreatePersistentResourceFlagsr1zs## '44  . .01 ""6*++F3##F,AB ""6*  !6*/11<V1D]]  : < v&!// )D&&'BC&&':;&&v.c 4[R"[RS[R "[ R"U5S9[RSS9n[RRSUSRU5SS9RU5 g ) a+Add a resource argument for a Vertex AI Persistent Resource. NOTE: Must be used only if it's the only resource arg in the command. Args: parser: the parser for the command. verb: str, the verb to describe the resource, such as 'to update'. regions: list[str], the list of supported regions. rrF)resource_collection resource_name locationsId projectsIddisable_auto_completerspersistent_resourcezThe persistent resource {}.TrN)r ResourceSpecr PERSISTENT_RESOURCE_COLLECTIONrRegionAttributeConfigr r DEFAULT_PROJECT_ATTRIBUTE_CONFIGr ConceptParser ForResourceformatr#)r-verbregions resource_specs r0 AddPersistentResourceResourceArgrDs''2QQ)44!88AC::# %-++#**40 ,![(r2)!__doc__ __future__rrrtextwrapgooglecloudsdk.callioperr googlecloudsdk.calliope.conceptsrgooglecloudsdk.command_lib.air r rr 2googlecloudsdk.command_lib.ai.persistent_resourcesr $googlecloudsdk.command_lib.util.argsr (googlecloudsdk.command_lib.util.conceptsrr(dedentr+ArgDictintstrr,r$r1r!rDr2r0rSs;&'/(53?5W<D#mm    mm     !$!$ #!$"    ! + + !; z!% %     ! /D$>>)r2