@i TdZddlmZddlmZddlmZmZddlm Z ddl m Z m Z ddl ZddlmZddlZd d lmZd d lmZmZGd d eZ ddedej4ededej8efdZe GddZGddZ ejBe gdfZ"GddZ#y)a Classes used to define a grid search. `Launcher`: a launcher is passed to each grid search explore function, and can be called repeatidly to schedule XPs. `Explorer`: defines some metadata, in particular the metrics to display with the `dora grid` command. ) OrderedDict)deepcopy)ProcessPoolExecutorFuture)contextmanager) dataclassfieldN)_Node) SlurmConfig)ShepherdSheepc eZdZy)ProcessExceptionN)__name__ __module__ __qualname__a/Volumes/fast/ai/experiments/voice-extract-mac/.venv/lib/python3.12/site-packages/dora/explore.pyrrsrrshepherdargvslurmjob_array_indexcv |j|||fS#t$r}tt|d}~wwxYwN)get_sheep_from_argv Exceptionrrepr)rrrrexcs r_processr!"s>*,,T2E?KK *tCy))*s 838c eZdZUdZeeZeje e fe d<ee Z eje efe d<eeZej"ej"e e d<eeZej"ee d<dZej*de d <d Z dd ed ej"e d edej*efdZ dde d edej*efdZy)Herdz7Represents a herd of sheeps ready to be scheduled. )default_factorysheeps slurm_configs job_arrays _pendingsNLauncher_job_array_launcherc|jrP|jjd}|j\}}}|j||||jrOyy)z@Complete all pending sheep evaluations and add them to the herd.rN)r(popresult _add_sheep)selffuturesheeprrs rcompletez Herd.complete7sHnn^^''*F,2MMO )E5/ OOE5/ :nnrrrrpoolc 0|j|jjgt|jdz }|#|j |j |||y|j j|jt||||y)Nr ) r*r'appendlenr.rr(submitr!)r/rrrr3rs r add_sheepzHerd.add_sheep>sv  # # + OO " "2 &doo.2 < OOH88> W NN ! !$++h$"_ `rr1rc@|jj|jvry||j|jj<||j|jj<|3|j|j |jjyyr)xpsigr%r&r'r5)r/r1rrs rr.zHerd._add_sheepHsq 88<<4;; & $) EHHLL!+0588<<(  & OOO , 3 3EHHLL A 'rr)rrr__doc__r rr%tpDictstrr__annotations__dictr&r listr'Listr(rr*Optionalr2r rr8intr.rrrr#r#*s"' "DFBGGCJ D/4T/JM2773 +,J(-d(CJ %C"'t!!^^((  uo $Z  rct|j|j|j|j|j Sr)r)rIrMrLrNrOr/s r_copyzLauncher._copyis) TZZTZZXXrcF|j}|j|i|S)a Returns a new `Launcher` with different default XP parameters when scheduling experiments. Each entry in `*args` can be itself a list of dict or strings, or a string or a dict. Any string arg is considered directly as something to append to the list of *argv*, i.e. the command line arguments passed to the training scripts. A dictionary will be converted to a list of `argv`, with the specific syntax defined by the `main` function. For an argparse based script, a key value pair will be converted to `--key=value`, with some special rules (if the value is True, then it is converted to just `--key`). A list containing strings or dicts will be the concatenation of the argv obtained from each of its entries. For instance sub_launcher = launcher.bind(["--some_flag=5"], other_flag="test") )rSbind_)r/argskwargsnews rbindz Launcher.bindls%,jjlsyy$)&))rc|D]0}|xj|jj|z c_2|xj|jj|z c_|S)z8 In-place version of `Launcher.bind()`. )rNrK value_to_argv)r/rVrWargs rrUzLauncher.bind_sMC JJ$**2237 7J djj..v66  rc F|j}|jdi|S)z Return a new `Launcher` with different default Slurm parameters. For instance sub_launcher = launcher.slurm(cpus_per_task=20) r)rSslurm_)r/rWrXs rrzLauncher.slurms#jjlszz#F##rc |jD]@\}}t|j|std|t |j||B|S)z9 In-place version of `Launcher.slurm()`. zInvalid Slurm config )itemshasattrrMAttributeErrorsetattr)r/rWkeyvalues rr^zLauncher.slurm_sP!,,.JC4;;,$' ?; T^^X^^X__djjYrc#&K|jjJd|j|j_|jjj g dd|j_y#d|j_wxYww)zContext manager to indicate that you wish to launch all the included XPs using a single job array with the current Slurm parameters. NzCannot stack job arrays)rLr*rSr'r5rRs r job_arrayzLauncher.job_arraysn zz--5P7PP5)- & $$R( 2 -1DJJ *TDJJ *sA"B%A;)B;BB)rrrr<r r r#r=rCr?rDrrPrSrYrUrr^rirrkrrrr)r)Rs ')SW+Twws|02 )alignnamestater;sid)ttleafrRs r get_grid_metazExplorer.get_grid_metasO GGG3 ' GGFO GGG  GGE % GGE %   rc ddgS)N0z38;5;245rrRs r get_colorszExplorer.get_colorss Z  rr1historyct)a Process a sheep to return a dict (with possibly nested dict inside) matching the schema given by `get_grid_metrics`. This gives more possiblities than `process_history`, which is kept for compatibility, as one has access to the XP config here. If this is implemented, it will always be called, otherwise, `process_history` is used. One should use the history provided here, rather than the one in `sheep.xp.link.history`, as it has possibly been shortened to align multiple experiments. )NotImplementedError)r/r1rs r process_sheepzExplorer.process_sheeps "##rcPdt|i}|D]}|j||S)zProcess history to return a dict (with possibly nested dict inside) matching the schema given by `get_grid_metrics`. epoch)r6update)r/routmetricss rprocess_historyzExplorer.process_historys1 S\ G JJw  rN)rrrExplorerPr)rir=rCr rtr~rrrArrrrrrmrms"''%.  rwwu~  ! $5 $2774= $T $ rwwt}  rrmr)$r< collectionsrcopyrconcurrent.futuresrr contextlibr dataclassesrr typingr=treetable.tabler treetabler|confr shepr r RuntimeErrorrrCr?rDrEr!r#r)Callablerrmrrrrs$:%(!! | 26*x*rwws|*K* kk#.* $B$B $BNj2j2Z ++xj$& '//r