JSrSSKJr SSKJr SSKJr SSKJr SSKJr SSKJ r SSK J r SSK J r SS K Jr SS KJr S rS r\R&"\R(R*5"S S\R,55r\R&"\R(R0\R(R25"SS\55rSS0r\\lg)z)ai-platform jobs submit training command.)absolute_import)division)unicode_literals)jobs)base) exceptions)flags) jobs_util) labels_utilc[RRU5 [RRU5 [RRU5 [R "SS9RU5 [ R"USS5 [RRU5 [RRU5 [R"SS9RU5 [R"SS9RU5 [R"5RRU5 [RRU5 [R "US5 [R"RU5 [R$RU5 UR'5nUR)S S S S S 9 UR)SS SS9 [*R,"U5 g)z1Add arguments for `jobs submit training` command.F)requiredzmachine learning training jobsubmitT) upload_help)localzduring trainingz--async store_trueasync_z(DEPRECATED) Display information about the operation in progress without waiting for the operation to complete. Enabled by default and can be omitted; use `--stream-logs` to run synchronously.)actiondesthelpz --stream-logszBlock until job completion and stream the logs while the job runs. Note that even if command execution is halted, the job will still run until cancelled with $ gcloud ai-platform jobs cancel JOB_ID)rrN)r JOB_NAME AddToParser PACKAGE_PATHPACKAGESGetModuleNameFlag compute_flags AddRegionFlagCONFIGSTAGING_BUCKET GetJobDirFlag GetUserArgsr ScaleTierFlagMap choice_argRUNTIME_VERSIONAddPythonVersionFlagTRAINING_SERVICE_ACCOUNTENABLE_WEB_ACCESSadd_mutually_exclusive_group add_argumentr AddCreateLabelsFlags)parser sync_groups /lib/surface/ai_platform/jobs/submit/training.py_AddSubmitTrainingArgsr-s..V$  (..V$5)55f=f&E&(,,6"""6*$'33F;% ,,V4 ))55f=##F+V%67  ,,V4%%f-224*  8     :<""6*c4[URS5(a}URRR5nU(aUR 5$SH;n[ XR SS5S5(dM&[R"SS5e gg)zFParse CMEK resource arg, and check if the arg was partially specified.kms_key)zkms-keyz kms-keyringz kms-locationz kms-project-_Nz --kms-keyz#Encryption key not fully specified.) hasattrCONCEPTSr0Parse RelativeNamegetattrreplacerInvalidArgumentException)argskms_refkeywords r,_GetAndValidateKmsKeyr=Ds T]]I&&mm##))+G  ! ! ##N' 4c2D 9 933@B BO 'r.c2\rSrSrSrSr\S5rSrSr g)TrainQ#Submit an AI Platform training job.Fc[U5 [R"XRS9 [R"US5 UR R [R5 g)Nsupport_tpu_tf_versionjob) r-r AddCustomContainerFlags_SUPPORT_TPU_TF_VERSION AddKmsKeyFlag display_info AddFormatr JOB_FORMATclsr*s r,Args Train.ArgsWsL6" !!'B'BD & !!)"6"67r.c [R"URUR5n[R"5R UR 5nU(a UROSn[R"5n[R"XQ5n[RRXR5nUR5 [R"UUR 40SUR"_SUR$_SUR&_SUR(_SU_SUR*_SUR,_SUR._S UR0_S [3US 5(a UR4OS_S UR6_S U_S U_SUR8_S[;U5_SU_SUR<_6nU(a*UR>UR@RBLaSUl"U$)Njob_dirstaging_bucketpackages package_path scale_tierconfig module_nameruntime_versionpython_versionnetworkservice_accountlabels stream_logs user_argsr0custom_train_server_configenable_web_access)#r GetStreamLogsrr]r!GetEnumForChoicerUnamer JobsClientParseCreateLabelsTrainingCustomInputServerConfigFromArgsrGValidateConfigSubmitTrainingrErQrRrSrTrVrWrXrYr3rZr[r^r=r`stateStateValueValuesEnum SUCCEEDED exit_code) selfr:r]rUscale_tier_name jobs_clientr\custom_container_configrEs r,Run Train.Run_s))$++t7G7GHK++->>tOJ)3jooO//#K  ( ( ;F11:: .. 0**,  " "  2  2**  2   2 &&  2# 2{{ 2$$ 2,, 2** 2!(i 8 8 d 2,, 2 2  2 ..! 2"&d+# 2$$;% 2&00' 2C*syy(@(@(J(JJdn Jr.)rnN) __name__ __module__ __qualname____firstlineno____doc__rG classmethodrNrs__static_attributes__r.r,r?r?Qs"+!88!r.r?c,\rSrSrSrSr\S5rSrg)TrainAlphaBetarATc[U5 [R"US5 [RR U5 [R "XR S9 URR[R5 g)NrErC) r-r rHNETWORKrrFrGrIrJr rKrLs r,rNTrainAlphaBeta.Argss^6" & MMf% !!'B'BD !!)"6"67r.r|N) rurvrwrxryrGrzrNr{r|r.r,r~r~s+ 88r.r~ DESCRIPTIONaDSubmit an AI Platform training job. This creates temporary files and executes Python code staged by a user on Cloud Storage. Model code can either be specified with a path, e.g.: $ {command} my_job \ --module-name trainer.task \ --staging-bucket gs://my-bucket \ --package-path /my/code/path/trainer \ --packages additional-dep1.tar.gz,dep2.whl Or by specifying an already built package: $ {command} my_job \ --module-name trainer.task \ --staging-bucket gs://my-bucket \ --packages trainer-0.0.1.tar.gz,additional-dep1.tar.gz,dep2.whl If `--package-path=/my/code/path/trainer` is specified and there is a `setup.py` file at `/my/code/path/setup.py`, the setup file will be invoked with `sdist` and the generated tar files will be uploaded to Cloud Storage. Otherwise, a temporary `setup.py` file will be generated for the build. By default, this command runs asynchronously; it exits once the job is successfully submitted. To follow the progress of your job, pass the `--stream-logs` flag (note that even with the `--stream-logs` flag, the job will continue to run after this command exits and must be cancelled with `gcloud ai-platform jobs cancel JOB_ID`). For more information, see: https://cloud.google.com/ai-platform/training/docs/overview N)ry __future__rrr googlecloudsdk.api_lib.ml_enginergooglecloudsdk.callioperr"googlecloudsdk.command_lib.computer r$googlecloudsdk.command_lib.ml_enginer $googlecloudsdk.command_lib.util.argsr r-r= ReleaseTracks ReleaseTrackGACommandr?ALPHABETAr~_DETAILED_HELP detailed_helpr|r.r,rs0&'1(.E6:<#+L BD%%(().DLL.*.bD%%++T->->-C-CD 8U 8E 8 ! $L%r.