;i@ SSKrSSKrSSKrSSKJr SSKJrJrJr SSK r SSK J r SSK J r SSKJr SSKJrJrJrJrJrJrJrJrJrJrJrJr /r\"5(a\R=\R>5 \"5(a\R=\R@5 \"5(a\R=\RB5 \"5(a\R=\RD5 \"5(a\R=\RF5 \"5(a\R=\RH5 \"5(a\R=\RJ5 \"5(a\R=\RL5 \"5(a\R=\RN5 \ "\(5r)S r*S r+"S S 5r,"S S\,5r-"SS\,5r."SS\,5r/"SS\,5r0"SS\,5r1"SS\,5r2"SS\,5r3"SS\,5r4"SS\,5r5\1\0\2\-\.\3\4\5\/S. r6S#S \7\\8\\,4S!\\\8\Rr44S"jjr:g)$Nwraps)AnyOptionalUnion)version) get_logger) PartialState) LoggerTypecompare_versionsis_aim_availableis_clearml_availableis_comet_ml_availableis_dvclive_availableis_mlflow_availableis_swanlab_availableis_tensorboard_availableis_trackio_availableis_wandb_availablelistifyc0^[T5U4Sj5nU$)z Decorator to selectively run the decorated function on the main process only based on the `main_process_only` attribute in a class. Checks at function execution rather than initialization time, not triggering the initialization of the `PartialState`. c>[USS5(a#[5RT5"U/UQ70UD6$T"U/UQ70UD6$)Nmain_process_onlyF)getattrr on_main_process)selfargskwargsfunctions c/home/dmtnaga/Documents/work/airagagent/rag_env/lib/python3.13/site-packages/accelerate/tracking.pyexecute_on_main_process0on_main_process..execute_on_main_processVsJ 4,e 4 4>11(;DR4R6R RD24262 2r)r r"s` r!rrMs# 8_33 #"r$c[$)z@Returns a list of all supported available trackers in the system)_available_trackersr$r!get_available_trackersr(`s r$cX\rSrSrSrSrS SjrSrS\4Sjr S\S\ \ 4S jr S r S rg )GeneralTrackerea8 A base Tracker class to be used for all logging integration implementations. Each function should take in `**kwargs` that will automatically be passed in from a base dictionary provided to [`Accelerator`]. Should implement `name`, `requires_logging_directory`, and `tracker` properties such that: `name` (`str`): String representation of the tracker class name, such as "TensorBoard" `requires_logging_directory` (`bool`): Whether the logger requires a directory to store their logs. `tracker` (`object`): Should return internal tracking mechanism used by a tracker class (such as the `run` for wandb) Implementations can also include a `main_process_only` (`bool`) attribute to toggle if relevant logging, init, and other functions should occur on the main process or across all processes (by default will use `True`) Tc"U(dSn[US5(dUS- n[US5(d[U5S:aUS- nUS- nS[U5;a[U5S:aUS- nUS - n[U5S:a[S U35egg) Nnamez`name`requires_logging_directoryrz, z`requires_logging_directory`trackerz `tracker`zThe implementation for this tracker class is missing the following required attributes. Please define them in the class definition: )hasattrlendirNotImplementedError)r_blankerrs r!__init__GeneralTracker.__init__xsC4((x4!=>>s8a<4KC55D )s8a<4KC{"3x!|)Xer$cg)zy Lazy initialization of the tracker inside Accelerator to avoid initializing PartialState before InitProcessGroupKwargs. Nr'rs r!startGeneralTracker.start r$valuescg)ak Logs `values` as hyperparameters for the run. Implementations should use the experiment configuration functionality of a tracking API. Args: values (Dictionary `str` to `bool`, `str`, `float` or `int`): Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, `str`, `float`, `int`, or `None`. Nr'rr>s r!store_init_configuration'GeneralTracker.store_init_configurations r$stepc g)a Logs `values` to the current run. Base `log` implementations of a tracking API should go in here, along with special behavior for the `step parameter. Args: values (Dictionary `str` to `str`, `float`, or `int`): Values to be logged as key-value pairs. The values need to have type `str`, `float`, or `int`. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. Nr'rr>rCrs r!logGeneralTracker.logs r$cg)z Should run any finalizing functions within the tracking API. If the API should not have one, just don't overwrite that method. Nr'r:s r!finishGeneralTracker.finishr=r$r'N)F)__name__ __module__ __qualname____firstlineno____doc__rr7r;dictrArintrFrI__static_attributes__r'r$r!r*r*esA ,   t    $  hsm   r$r*c^\rSrSrSrSrSrS\S\\\ R44U4Sjjr \ S5r \S 5r\ S \4S j5r\ SS \S \\4S jj5r\ S \S \\4Sj5r\ S5rSrU=r$)TensorBoardTrackera A `Tracker` class that supports `tensorboard`. Should be initialized at the start of your script. Args: run_name (`str`): The name of the experiment run logging_dir (`str`, `os.PathLike`): Location for TensorBoard logs to be stored. **kwargs (additional keyword arguments, *optional*): Additional key word arguments passed along to the `tensorboard.SummaryWriter.__init__` method. tensorboardTrun_name logging_dirc F>[TU]5 XlX lX0lgN)superr7rWlogging_dir_param init_kwargsrrWrXr __class__s r!r7TensorBoardTracker.__init__s  !,!r$cSSKJn [R R URUR5Ul UR"UR40URD6Ul [RSURSUR35 [RS5 g![a SSKnNf=f)Nr)rVz Initialized TensorBoard project z logging to aMake sure to log any initial configurations with `self.store_init_configuration` before training!) torch.utilsrVModuleNotFoundError tensorboardXospathjoinr\rWrX SummaryWriterr]writerloggerdebug)rrVs r!r;TensorBoardTracker.starts / /77<<(>(> N!//0@0@UDDTDTU  7 lSWScScRdef o # / . /sB22CCcUR$rZrjr:s r!r0TensorBoardTracker.tracker {{r$r>cxURRU0S9 URR5 [R"5n[R R UR[U55n[R"USS9 [[R R US5S5n[R"X5 SSS5 [R#S5 g![RRa [R!S5 ef=f!,(df  N\=f) a Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. Stores the hyperparameters in a yaml file for future use. Args: values (Dictionary `str` to `bool`, `str`, `float` or `int`): Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, `str`, `float`, `int`, or `None`. ) metric_dictT)exist_okz hparams.ymlwz-Serialization to store hyperparameters failedNzQStored initial configuration hyperparameters to TensorBoard and hparams yaml file)rj add_hparamsflushtimerfrgrhrXstrmakedirsopenyamldump representerRepresenterErrorrkerrorrl)rr>project_run_namedir_nameoutfiles r!rA+TensorBoardTracker.store_init_configurations B7 99;77<< 0 0#6F2GH Ht, "'',,x7 =  &*>  hi##44  LM > =s<D+>C335D((D++ D9rCc [U5nUR5HupE[U[[45(a!UR R "XE4SU0UD6 MA[U[5(a!UR R"XE4SU0UD6 Mw[U[5(dMUR R"XE4SU0UD6 M UR R5 [RS5 g)aR Logs `values` to the current run. Args: values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of `str` to `float`/`int`. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to either `SummaryWriter.add_scaler`, `SummaryWriter.add_text`, or `SummaryWriter.add_scalers` method based on the contents of `values`. global_stepz"Successfully logged to TensorBoardN)ritems isinstancerQfloatrj add_scalarryadd_textrP add_scalarsrwrkrlrr>rCrkvs r!rFTensorBoardTracker.logsLLNDA!c5\** &&qHHHAs## $$QFtFvFAt$$ ''I$I&I #  9:r$c UR5H$upEURR"XE4SU0UD6 M& [R S5 g)a Logs `images` to the current run. Args: values (Dictionary `str` to `List` of `np.ndarray` or `PIL.Image`): Values to be logged as key-value pairs. The values need to have type `List` of `np.ndarray` or step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to the `SummaryWriter.add_image` method. rz)Successfully logged images to TensorBoardN)rrj add_imagesrkrlrs r! log_imagesTensorBoardTracker.log_imagess?LLNDA KK " "1 DT DV D# @Ar$cbURR5 [RS5 g)z Closes `TensorBoard` writer zTensorBoard writer closedN)rjcloserkrlr:s r!rITensorBoardTracker.finish s!  01r$)r]rXr\rWrjrZ)rKrLrMrNrOr.r/ryrrfPathLiker7rr;propertyr0rPrArrQrFrrIrR __classcell__r_s@r!rTrTs  D!%""5bkk9I3J"     jtjj.;$;hsm;;2BBXc]BB 22r$rTc ,^\rSrSrSrSrSrSrS\4U4Sjjr \ S5r \ S5r \ S \4S j5r\ SS \S \\4S jj5r\ SS \S \\4S jj5r\ SS\S\\\S\\\\S\S \\4 Sjj5r\ S5rSrU=r$) WandBTrackeri)a* A `Tracker` class that supports `wandb`. Should be initialized at the start of your script. Args: run_name (`str`): The name of the experiment run. **kwargs (additional keyword arguments, *optional*): Additional key word arguments passed along to the `wandb.init` method. wandbFrWc :>[TU]5 XlX lgrZr[r7rWr]rrWrr_s r!r7WandBTracker.__init__8  !r$cSSKnUR"SSUR0URD6Ul[ R SUR35 [ R S5 g)NrprojectzInitialized WandB project rbr')rinitrWr]runrkrl)rrs r!r;WandBTracker.start=sN::HdmmHt7G7GH 1$--AB o r$cUR$rZrr:s r!r0WandBTracker.trackerG xxr$r>cSSKn[RRS5S:Xa~[ US5(a+UR (aUR R 5 URR5nXS'UR"S SUR0UD6UlOURRUSS 9 [RS 5 g) E Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. Args: values (Dictionary `str` to `bool`, `str`, `float` or `int`): Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, `str`, `float`, `int`, or `None`. rN WANDB_MODEofflinerconfigrTallow_val_changez5Stored initial configuration hyperparameters to WandBr')rrfenvirongetr1rrIr]copyrrWrupdaterkrl)rr>rr]s r!rA%WandBTracker.store_init_configurationKs  ::>>, '9 4tU##!**//1K$* !zzG$--G;GDH LL    > LMr$rCc lURR"U4SU0UD6 [RS5 g)a Logs `values` to the current run. Args: values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of `str` to `float`/`int`. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to the `wandb.log` method. rCzSuccessfully logged to WandBNrrFrkrlrEs r!rFWandBTracker.logcs+  V1$1&1 34r$c SSKnUR5H:upVUR"XVVs/sHotRU5PM sn04SU0UD6 M< [R S5 gs snf)a Logs `images` to the current run. Args: values (Dictionary `str` to `List` of `np.ndarray` or `PIL.Image`): Values to be logged as key-value pairs. The values need to have type `List` of `np.ndarray` or step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to the `wandb.log` method. rNrCz#Successfully logged images to WandB)rrrFImagerkrl)rr>rCrrrrimages r!rWandBTracker.log_imagests\ LLNDA HHa!s r! log_tableWandBTracker.log_tables34 kk'PYkZ[ -d-f-r$cbURR5 [RS5 g)z Closes `wandb` writer zWandB run closedNrrIrkrlr:s r!rIWandBTracker.finishs  '(r$r]rrWrZNNNN)rKrLrMrNrOr.r/rryr7rr;rr0rPrArrQrFrlistrrrIrRrrs@r!rr)s9 D!&""   NtNN.5$5hsm55 <[TU]5 XlX lgrZrrs r!r7TrackioTracker.__init__rr$cSSKnUR"SSUR0URD6Ul[ R SUR35 [ R S5 g)NrrzInitialized trackio project rbr')rrrWr]rrkrl)rrs r!r;TrackioTracker.startsN<<J J9I9IJ 3DMM?CD o r$cUR$rZrr:s r!r0TrackioTracker.trackerrr$r>cjSSKnURRUSS9 [R S5 g)rrNTrz7Stored initial configuration hyperparameters to trackio)rrrrkrl)rr>rs r!rA'TrackioTracker.store_init_configuration+ ft< NOr$rCc hURR"U40UD6 [RS5 g)a Logs `values` to the current run. Args: values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of `str` to `float`/`int`. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to the `trackio.log` method. zSuccessfully logged to trackioNrrEs r!rFTrackioTracker.logs&  V&v& 56r$cbURR5 [RS5 g)z Closes `trackio` run ztrackio run closedNrr:s r!rITrackioTracker.finish  )*r$rrZ)rKrLrMrNrOr.r/rryr7rr;rr0rPrArrQrFrIrRrrs@r!rrs  D!&""    Pt P P7$7hsm77 ++r$rc^\rSrSrSrSrSrS\4U4Sjjr\ S5r \ S5r \ S \ 4S j5r\ SS \ S \\4S jj5r\ S 5rSrU=r$)CometMLTrackeria A `Tracker` class that supports `comet_ml`. Should be initialized at the start of your script. API keys must be stored in a Comet config file. Note: For `comet_ml` versions < 3.41.0, additional keyword arguments are passed to `comet_ml.Experiment` instead: https://www.comet.com/docs/v2/api-and-sdk/python-sdk/reference/Experiment/#comet_ml.Experiment.__init__ Args: run_name (`str`): The name of the experiment run. **kwargs (additional keyword arguments, *optional*): Additional key word arguments passed along to the `comet_ml.start` method: https://www.comet.com/docs/v2/api-and-sdk/python-sdk/reference/start/ comet_mlFrWc :>[TU]5 XlX lgrZrrs r!r7CometMLTracker.__init__rr$cSSKn[R"UR5n[ USS5(a.UR "SSUR 0URD6UlOB[RS5 UR"SSUR 0URD6Ul[RSUR 35 [RS5 g) Nrz>=z3.41.0 project_namezFUpdate `comet_ml` (>=3.41.0) for experiment reuse and offline support.zInitialized CometML project rbr') rrparse __version__r r;rWr]rjrkinfo Experimentrl)rr comet_versions r!r;CometMLTracker.starts h&:&:; M4 : :"..XdmmXtGWGWXDK KK` a"--]4==]DL\L\]DK 3DMM?CD o r$cUR$rZror:s r!r0CometMLTracker.tracker&rqr$r>cdURRU5 [RS5 g)rz5Stored initial configuration hyperparameters to CometN)rjlog_parametersrkrlr@s r!rA'CometMLTracker.store_init_configuration*s# ""6* LMr$rCc UbURRU5 UR5HupE[U[[ 45(a!URR "XE4SU0UD6 MA[U[5(aURR"XE40UD6 Mu[U[5(dMURR"U4SU0UD6 M [RS5 g)aJ Logs `values` to the current run. Args: values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of `str` to `float`/`int`. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to either `Experiment.log_metric`, `Experiment.log_other`, or `Experiment.log_metrics` method based on the contents of `values`. NrCzSuccessfully logged to Comet) rjset_steprrrQr log_metricry log_otherrP log_metricsrkrlrs r!rFCometMLTracker.log7s   KK  &LLNDA!c5\** &&qA$A&AAs## %%a5f5At$$ ''??? #  34r$cbURR5 [RS5 g)z Flush `comet-ml` writer zComet run flushedN)rjendrkrlr:s r!rICometMLTracker.finishQs  ()r$)r]rWrjrZ)rKrLrMrNrOr.r/ryr7rr;rr0rPrArrQrFrIrRrrs@r!rrs" D!&""      Nt N N5$5hsm552**r$rc ^\rSrSrSrSrSrSS\S\\ \\ R44U4Sjjjr \ S5r\S 5r\ S \4S j5r\ S \S \\4S j5r\ SS \S \\S\\\\44Sjj5r\ S5rSrU=r$) AimTrackeriZa* A `Tracker` class that supports `aim`. Should be initialized at the start of your script. Args: run_name (`str`): The name of the experiment run. **kwargs (additional keyword arguments, *optional*): Additional key word arguments passed along to the `Run.__init__` method. aimTrWrXc F>[TU]5 XlX lX0lgrZ)r[r7rW aim_repo_pathr]r^s r!r7AimTracker.__init__hs  (!r$cSSKJn U"SSUR0URD6UlUR URl[RSUR 35 [RS5 g)Nr)RunrepozInitialized Aim project rbr') rrrr]rjrWr.rkrl)rrs r!r;AimTracker.startns\Ft11FT5E5EF ==  / ?@ o r$cUR$rZror:s r!r0AimTracker.trackeryrqr$r>c XRS'g) Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. Args: values (`dict`): Values to be stored as initial hyperparameters as key-value pairs. hparamsNror@s r!rA#AimTracker.store_init_configuration}s"( Ir$rCc tUR5H$upEURR"U4XBS.UD6 M& g)a5 Logs `values` to the current run. Args: values (`dict`): Values to be logged as key-value pairs. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to the `Run.track` method. r.rCN)rrjtrack)rr>rCrkeyvalues r!rFAimTracker.logs2!,,.JC KK  e C# CF C)r$rc6SSKn0n0nUb$URS05nURS05nUR5HVupx[U[5(aUupOUSpUR "U 4SU 0UD6n UR R"U 4XrS.UD6 MX g)a Logs `images` to the current run. Args: values (`Dict[str, Union[np.ndarray, PIL.Image, Tuple[np.ndarray, str], Tuple[PIL.Image, str]]]`): Values to be logged as key-value pairs. The values need to have type `np.ndarray` or PIL.Image. If a tuple is provided, the first element should be the image and the second element should be the caption. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs (`Dict[str, dict]`): Additional key word arguments passed along to the `Run.Image` and `Run.track` method specified by the keys `aim_image` and `track`, respectively. rN aim_imager r-captionr )rrrrtuplerrjr ) rr>rCrr aim_image_kwtrack_kwrrimgrrs r!rAimTracker.log_imagess    !::k26Lzz'2.H ,,.JC%''$ W$bW #GwG,GI KK  i Ic I I )r$c8URR5 g)z Closes `aim` writer N)rjrr:s r!rIAimTracker.finishs r$)rr]rWrj).NN)rKrLrMrNrOr.r/ryrrrfrr7rr;rr0rPrArQrFrrIrRrrs@r!rrZs D!%""8E#r{{BRr$rc\rSrSrSrSrSrSS\\S\\ \\ R4S\\S \\ \ \\ 4\4S \\S \\S \\4S jjr\S5r\S5r\S\ 4Sj5r\S\ S\\4Sj5r\S\ S\4Sj5r\SS\S\\4Sjj5r\SS\S\\4Sjj5r\S5rSrg) MLflowTrackeriu A `Tracker` class that supports `mlflow`. Should be initialized at the start of your script. Args: experiment_name (`str`, *optional*): Name of the experiment. Environment variable MLFLOW_EXPERIMENT_NAME has priority over this argument. logging_dir (`str` or `os.PathLike`, defaults to `"."`): Location for mlflow logs to be stored. run_id (`str`, *optional*): If specified, get the run with the specified UUID and log parameters and metrics under that run. The run’s end time is unset and its status is set to running, but the run’s other attributes (source_version, source_type, etc.) are not changed. Environment variable MLFLOW_RUN_ID has priority over this argument. tags (`Dict[str, str]`, *optional*): An optional `dict` of `str` keys and values, or a `str` dump from a `dict`, to set as tags on the run. If a run is being resumed, these tags are set on the resumed run. If a new run is being created, these tags are set on the new run. Environment variable MLFLOW_TAGS has priority over this argument. nested_run (`bool`, *optional*, defaults to `False`): Controls whether run is nested in parent run. True creates a nested run. Environment variable MLFLOW_NESTED_RUN has priority over this argument. run_name (`str`, *optional*): Name of new run (stored as a mlflow.runName tag). Used only when `run_id` is unspecified. description (`str`, *optional*): An optional string that populates the description box of the run. If a run is being resumed, the description is set on the resumed run. If a new run is being created, the description is set on the new run. mlflowFNexperiment_namerXrun_idtags nested_runrW descriptionc[RRSU5n[RRSU5n[RRSU5n[U[5(a[ R "U5n[RRSU5nXlX lX0l X@l XPl X`l Xpl g)NMLFLOW_EXPERIMENT_NAME MLFLOW_RUN_ID MLFLOW_TAGSMLFLOW_NESTED_RUN)rfrrrryjsonloadsr rXr!r"r#rWr$)rr rXr!r"r#rWr$s r!r7MLflowTracker.__init__s**..)A?S8zz~~mT2 dC ::d#DZZ^^$7D .&  $ &r$c .SSKnURSURS3S9n[U5S:a4[U5S:a[R S5 USR nO/URURURURS9nURURUURURURURS9Ul[R!S UR35 [R!S 5 g) Nrzname = '') filter_stringr z?Multiple experiments with the same name found. Using first one.)r.artifact_locationr")r! experiment_idrWnestedr"r$zInitialized mlflow experiment rb)rsearch_experimentsr r2rkwarningr1create_experimentrXr" start_runr!rWr#r$ active_runrl)rrexpsr1s r!r;MLflowTracker.starts(($BVBVAWWX7Y(Z t9q=4y1}`a G11M"44))"&"2"2YY5M !**;;']]??(( +   5d6J6J5KLM o r$cUR$rZ)r7r:s r!r0MLflowTracker.trackers r$r>c SSKn[UR55H|up4[[ U55UR R R:dM=[RSUSUSUR R RS35 X M~ [UR55n[S[U5UR R R5H?nUR[XVXbR R R-55 MA [RS5 g)rrNz,Accelerate is attempting to log a value of "z " for key "zJ" as a parameter. MLflow's log_param() only accepts values no longer than z) characters so we dropped this attribute.z6Stored initial configuration hyperparameters to MLflow)rrrr2ryutils validationMAX_PARAM_VAL_LENGTHrk warning_oncerangeMAX_PARAMS_TAGS_PER_BATCH log_paramsrPrl)rr>rr.r values_listis r!rA&MLflowTracker.store_init_configurations  /KD3u:!8!8!M!MM##B5'UYTZ[GGM||G^G^GsGsFtu^_L06<<>* q#k*FLL,C,C,],]^A   d;1||7N7N7h7h3h#ij k_  MNr$rCc 0nUR5HNupE[U[[45(aXSU'M&[R SUS[ U5SUS35 MP SSKnURX2S9 [RS5 g) z Logs `values` to the current run. Args: values (`dict`): Values to be logged as key-value pairs. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. z/MLflowTracker is attempting to log a value of " " of type for key "zc" as a metric. MLflow's log_metric() only accepts float and int types so we dropped this attribute.rN)rCzSuccessfully logged to mlflow) rrrQrrkr@typerrrl)rr>rCmetricsrrrs r!rFMLflowTracker.log8sLLNDA!c5\** ##EaS SWXYSZR[[efgehikk # 7. 45r$figure artifact_filec ^SSKnUR"SXS.UD6 [RS5 g)a| Logs an figure to the current run. Args: figure (Any): The figure to be logged. artifact_file (`str`, *optional*): The run-relative artifact file path in posixpath format to which the image is saved. If not provided, the image is saved to a default location. **kwargs: Additional keyword arguments passed to the underlying mlflow.log_image function. rN)rMrNz#Successfully logged image to mlflowr')r log_figurerkrl)rrMrN save_kwargsrs r!rPMLflowTracker.log_figureQs* TT T :;r$ local_dir artifact_pathcTSSKnURXS9 [RS5 g)a Logs an artifacts (all content of a dir) to the current run. local_dir (`str`): Path to the directory to be logged as an artifact. artifact_path (`str`, *optional*): Directory within the run's artifact directory where the artifact will be logged. If omitted, the artifact will be logged to the root of the run's artifact directory. The run step. If included, the artifact will be affiliated with this step. rN)rSrT&Successfully logged artofact to mlflow)r log_artifactsrkrl)rrSrTrs r!rWMLflowTracker.log_artifactsds% yN =>r$ local_pathcTSSKnURXS9 [RS5 g)a Logs an artifact (file) to the current run. local_path (`str`): Path to the file to be logged as an artifact. artifact_path (`str`, *optional*): Directory within the run's artifact directory where the artifact will be logged. If omitted, the artifact will be logged to the root of the run's artifact directory. The run step. If included, the artifact will be affiliated with this step. rN)rYrTrV)r log_artifactrkrl)rrYrTrs r!r[MLflowTracker.log_artifactus% zO =>r$c,SSKnUR5 g)z End the active MLflow run. rN)rend_run)rrs r!rIMLflowTracker.finishs r$)r7r$r rXr#r!rWr")NNNNFNNrZ)rKrLrMrNrOr.r/rryrrfrrPrboolr7rr;rr0rArQrFrPrWr[rIrRr'r$r!rrs6 D!&*.9= $59%*"&%)'!#'eC$456' ' uT#s(^S012 ' TN '3-'c]'4  :OtOO66$6hsm660<[TU]5 XlSUlX lg)NF)r[r7user_provided_run_name_initialized_externallyr]rs r!r7ClearMLTracker.__init__s" &.#',$!r$cSSKJn UR5nU(aSUlX lg0UR EnUR S[RRSUR55 UR S[RRSUR55 UR"S0UD6Ulg) Nr)TaskTrCLEARML_PROJECT task_name CLEARML_TASKr') rcri current_taskrftaskr] setdefaultrfrrrer)rrirmtask_init_argss r!r;ClearMLTracker.starts ((* +/D ($I -D,,-!!."**..ARTXToTo2pq!!+rzz~~ndNiNi/jkII// r$cUR$rZ)rnr:s r!r0ClearMLTracker.tracker yyr$r>c8URRU5$)z Connect configuration dictionary to the Task object. Should be run at the beginning of your experiment. Args: values (`dict`): Values to be stored as initial hyperparameters as key-value pairs. )rnconnect_configurationr@s r!rA'ClearMLTracker.store_init_configurationsyy..v66r$rCc ~URR5nUR5HupV[U[[ 45(d*[ RSUS[U5SUS35 MJUcUR"SXVS.UD6 Mc[RU5upxUR"SXxXbS.UD6 M g) aP Logs `values` dictionary to the current run. The dictionary keys must be strings. The dictionary values must be ints or floats Args: values (`Dict[str, Union[int, float]]`): Values to be logged as key-value pairs. If the key starts with 'eval_'/'test_'/'train_', the value will be reported under the 'eval'/'test'/'train' series and the respective prefix will be removed. Otherwise, the value will be reported under the 'train' series, and no prefix will be removed. step (`int`, *optional*): If specified, the values will be reported as scalars, with the iteration number equal to `step`. Otherwise they will be reported as single values. kwargs: Additional key word arguments passed along to the `clearml.Logger.report_single_value` or `clearml.Logger.report_scalar` methods. z-Accelerator is attempting to log a value of "rHrIzn" as a scalar. This invocation of ClearML logger's report_scalar() is incorrect so we dropped this attribute.N)r.r)titleseriesr iterationr') rnr rrrQrrkr@rJreport_single_valuerb_get_title_series report_scalar rr>rCrclearml_loggerrrryrzs r!rFClearMLTracker.logs$--/LLNDAa#u..##s*T!WIZs;AA |22MMfM*<[TU]5 X lX0lgrZ)r[r7rr])rrWrrr_s r!r7DVCLiveTracker.__init__Es  !r$c|SSKJn URbURUlgU"S0URD6Ulg)Nr)Liver')rrrr])rrs r!r;DVCLiveTracker.startJs- !%!6DII Dc:URRU5 g)a Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. Stores the hyperparameters in a yaml file for future use. Args: values (Dictionary `str` to `bool`, `str`, `float`, `int`, or a List or Dict of those types): Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, `str`, `float`, or `int`. N)rrCr@s r!rA'DVCLiveTracker.store_init_configurationTs V$r$rCc VSSKJn UbX RlUR 5HbupVUR U5(aURR "XV40UD6 M:[RSUS[U5SUS35 Md URR5 g)a Logs `values` to the current run. Args: values (Dictionary `str` to `str`, `float`, or `int`): Values to be logged as key-value pairs. The values need to have type `str`, `float`, or `int`. step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to `dvclive.Live.log_metric()`. r)MetricNz)Accelerator attempted to log a value of "rHrIzh" as a scalar. This invocation of DVCLive's Live.log_metric() is incorrect so we dropped this attribute.) dvclive.plotsrrrCr could_logrrkr@rJ next_step)rr>rCrrrrs r!rFDVCLiveTracker.logas )  !IINLLNDA"" $$Q4V4##s*T!WIZs;AA # r$c8URR5 g)z Closes `dvclive.Live()`. N)rrr:s r!rIDVCLiveTracker.finish~s r$)r]rrrZ)rKrLrMrNrOr.r/rryrr7rr;rr0rPrArQrFrIrRrrs@r!rr.s& D!&"#"Xc]"" UU  %t % %$hsm8r$rc^\rSrSrSrSrSrSrS\4U4Sjjr \ S5r \ S5r \ S \4S j5r\ SS \S \\4S jj5r\ SS \S \\4S jj5r\ S5rSrU=r$)SwanLabTrackeria. A `Tracker` class that supports `swanlab`. Should be initialized at the start of your script. Args: run_name (`str`): The name of the experiment run. **kwargs (additional keyword arguments, *optional*): Additional key word arguments passed along to the `swanlab.init` method. swanlabFrWc :>[TU]5 XlX lgrZrrs r!r7SwanLabTracker.__init__rr$cSSKnUR"SSUR0URD6UlSUR S'[ RSUR35 [ RS5 g)Nrru🤗Accelerate FRAMEWORKzInitialized SwanLab project rbr')rrrWr]rrrkrl)rrs r!r;SwanLabTracker.starts\<<J J9I9IJ&6{# 3DMM?CD o r$cUR$rZrr:s r!r0SwanLabTracker.trackerrr$r>cjSSKnURRUSS9 [R S5 g)rrNTrz7Stored initial configuration hyperparameters to SwanLab)rrrrkrl)rr>rs r!rA'SwanLabTracker.store_init_configurationrr$rCc lURR"U4SU0UD6 [RS5 g)a Logs `values` to the current run. Args: data : Dict[str, DataType] Data must be a dict. The key must be a string with 0-9, a-z, A-Z, " ", "_", "-", "/". The value must be a `float`, `float convertible object`, `int` or `swanlab.data.BaseType`. step : int, optional The step number of the current data, if not provided, it will be automatically incremented. If step is duplicated, the data will be ignored. kwargs: Additional key word arguments passed along to the `swanlab.log` method. Likes: print_to_console : bool, optional Whether to print the data to the console, the default is False. rCzSuccessfully logged to SwanLabNrrEs r!rFSwanLabTracker.logs+"  V1$1&1 56r$c SSKnUR5H:upVUR"XVVs/sHotRU5PM sn04SU0UD6 M< [R S5 gs snf)a& Logs `images` to the current run. Args: values (Dictionary `str` to `List` of `np.ndarray` or `PIL.Image`): Values to be logged as key-value pairs. The values need to have type `List` of `np.ndarray` or step (`int`, *optional*): The run step. If included, the log will be affiliated with this step. kwargs: Additional key word arguments passed along to the `swanlab.log` method. Likes: print_to_console : bool, optional Whether to print the data to the console, the default is False. rNrCz%Successfully logged images to SwanLab)rrrFrrkrl)rr>rCrrrrrs r!rSwanLabTracker.log_imagess\ LLNDA HHaA>A5--.A>? Ud Uf U# <=?rcbURR5 [RS5 g)z Closes `swanlab` writer zSwanLab run closedNrr:s r!rISwanLabTracker.finishrr$rrZ)rKrLrMrNrOr.r/rryr7rr;rr0rPrArrQrFrrIrRrrs@r!rrs D!&""    Pt P P7$7hsm77&>>Xc]>>(++r$r) rrrrVrrcrrrlog_withrXc/nUGb[U[[45(dU/nSU;d[RU;a@UVs/sH%n[ [ U5[5(dM#UPM' sn[5-nU$UGHnU[;aB[ [ U5[5(d$[SUS[R"535e[ [ U5[5(aURU5 M[U5nXB;dMU[5;aH[[U5nUR(aUc[SUS35eURU5 M[RSUS35 GM U$s snf)a+ Takes in a list of potential tracker types and checks that: - The tracker wanted is available in that environment - Filters out repeats of tracker types - If `all` is in `log_with`, will return all trackers in the environment - If a tracker requires a `logging_dir`, ensures that `logging_dir` is not `None` Args: log_with (list of `str`, [`~utils.LoggerType`] or [`~tracking.GeneralTracker`], *optional*): A list of loggers to be setup for experiment tracking. Should be one or several of: - `"all"` - `"tensorboard"` - `"wandb"` - `"trackio"` - `"aim"` - `"comet_ml"` - `"mlflow"` - `"dvclive"` - `"swanlab"` If `"all"` is selected, will pick up all available trackers in the environment and initialize them. Can also accept implementations of `GeneralTracker` for custom trackers, and can be combined with `"all"`. logging_dir (`str`, `os.PathLike`, *optional*): A path to a directory for storing logs of locally-compatible loggers. allz Unsupported logging capability: z. Choose between zLogging with `z+` requires a `logging_dir` to be passed in.zTried adding logger z+, but package is unavailable in the system.)rrrr ALL issubclassrJr*r(rappendLOGGER_TYPE_TO_CLASSryr/rkrl)rrXloggersolog_type tracker_inits r!filter_trackersrsW:G(T5M22 zH H  ( :"*R(Qja..Qq(RUkUmmG* N'%:-jhQ_6`6`$'GzQbcmcrcrctbu%vwwd8nn==NN8,)(3H.#'='??+?H +NL+FF#.#6*4*8 Bm(n+&%&$NN84"LL+?zIt)uv#%& N+Ss "F )F rZ);r*rfrx functoolsrtypingrrrr| packagingrloggingr stater r=r r rrrrrrrrrrr&r TENSORBOARDWANDBCOMETMLAIMMLFLOWCLEARMLDVCLIVESWANLABTRACKIOrKrkrr(r*rTrrrrrrbrrrrryrrr'r$r!rsO$ ''      z556z//0z112z~~.z001z112z112z112z112 H #& N N bp2p2fC)>C)LJ+^J+Z[*^[*|ddNLNL^[^[|U^Upa+^a+J %  6:75j.89:7%R[[ 0127r$