]i SrSSKJr SSKJrJr SSKJr SSKJr SSK r SSK J r SSK Jr S \ RS \4S jrS \ RS \ 4S jr\"SS55r\"SS55r\"SS55r\"SS55rg)z' Basic configuration for Dora is here. ) Namespace) dataclassfield)fnmatch)PathN) DictConfig) OmegaConfdataargscURHHn[U[5(de[X5(dM,[ X5nUcM<[ XU5 MJ g)z>Update the given dataclass from the argument parser args. N)__dict__ isinstancestrhasattrgetattrsetattr)r r keyvalues F/mnt/rpi/tmp/demucs-venv-sys/lib/python3.13/site-packages/dora/conf.pyupdate_from_argsrsJ}}#s#### 4  D&E 5) cfgc*[R"USS9n[U[5(deUR 5HSup4[U[ 5(de[ X5(a[XU5 M:[SURSU35e g)z6Update the given dataclass from the hydra config. T)resolvezObject of type z does not have an attribute N) r to_containerrdictitemsrrrAttributeError __class__)r rdctrrs rupdate_from_hydrar!s  d 3C c4  iik #s#### 4   Du % ?4>>2BC??Be"EF F "rc\rSrSr%SrSr\\S'Sr\ \S'Sr \\S'S r \\S 'S r \ R\\S 'S r\\S'S r\ R\\S'\"\S9r\ R*\\S'Sr\\S'Sr\\S'Sr\\S'Sr\\S'S r\ R\\S'S r\ R\\S'S r\ R\\S'Srg ) SlurmConfig.a Configuration when scheduling a job. This differs slightly from Slurm/Submitit params because this will automatically scale some values based on the number of GPUs. Args: gpus (int): number of total GPUs to schedule. Number of nodes and tasks per nodes will be automatically inferred. mem_per_gpu (float): amount of memory in GB to schedule per gpus. time (int): maximum duration for the job in minutes. cpus_per_gpu (int): number of cpus per gpu, this will set the `cpus_per_task` automatically, based on the number of gpus and `one_task_per_node`, unless `cpus_per_task` is explicitely provided. cpus_per_task (int or None): number of cpus per task. partition (str): partition name comment (str): comment for the job. setup (List[str]): list of shell commands to execute before the actual command. Use it for `module load`. max_num_timeout (int): maximum number of requeue. one_task_per_node (bool): if True, schedules a single task per node, otherwise, will schedule one task per gpu (default is False). array_parallelism (int): when using job arrays, how many tasks can run in parallel. qos: (str or None): qos param for slurm. account: (str or None): account param for slurm. ..warning:: this assumes one task per GPU. Set `one_task_per_node` if you do not want that. Tasks without any gpus are not really supported at the moment. gpus( mem_per_gpuitime cpus_per_gpuN cpus_per_tasklearnlab partitioncommentdefault_factorysetupmax_num_timeout constraintFone_task_per_nodearray_parallelismexcludeqosaccount)__name__ __module__ __qualname____firstlineno____doc__r&int__annotations__r(floatr)r+r,tpOptionalr.rr/rlistr2Listr4r6r7boolr9r:r;r<__static_attributes__r=rrr#r#.s@D#MKD#L#&*M2;;s#*Is $GR[[ $5E2773<5OSJ#t# s $GR[[ $ CS  $GR[[ $rr#cR\rSrSr%SrSr\\S'Sr\\S'Sr \\S'Sr \\S'Sr g ) SubmitRulesaa Submit rules describe in which case Shepherd will schedule new jobs. Args: retry (bool): if true, all failed or canceled jobs will be rescheduled. update_pending (bool): if true, all pending jobs whose Slurm parameters have changed will be replaced. update (bool): if true, all pending or running jobs whose Slurm parameters have changed will be replaced. replace (bool): if true, all running jobs will be replaced by new jobs. replace_done (bool): if true, all done jobs will be relaunched. Fretryupdatereplace replace_doner=N) r>r?r@rArBrOrJrDrPrQrRrKr=rrrMrMas1 E4FDGTL$rrMcn\rSrSr%SrSr\\S'Sr\\S'Sr \\S'Sr \\S'S r \\S 'S r \\S 'S r g ) ShepConfigvz} Configuration for Shepherd. Mostly naming conventions for folders and files. There should be little reasons to change that. zjob.pkljob_fileby_idorphanssubmititsubmitit_folderlatestlatest_submititarraysr=N)r>r?r@rArBrVrrDrWrXrZr\r]rKr=rrrTrTvsEHcE3GS%OS%#OS#FCrrTcR^\rSrSr%Sr\"S5r\\S'\"\ S9r \ R\ \S'Sr\\S'S r\ R"\\S 'S r\ R"\ \S 'S r\ \S 'Sr\ \S'\"\S9r\\S'Sr\ \S'Sr\\S'Sr\ \S'Sr\ \S'S\ S\4SjrU4SjrSrU=r$) DoraConfiga Main Dora configuration. The main parameters to change are the following. Args: dir (Path or str): path where Dora will save all useful informations, logs. This is also where you should store your checkpoints (see `dora.xp.XP`). exclude (List[str]): list of patterns of argument names to ignore when computing the XP signature and doing deduplication. For instance 'num_workers', etc. git_save (bool): when True, experiments can only be scheduled from a clean repo. A shallow clone of the repo will be made and execution will happen from there. This does not impact `dora run` unless you pass the `--git_save` flag. shared (Path or None): if provided, the path to a central repository of XPs. For the moment, this only supports sharing hyper-params, logs etc. will stay in the per user folder. grid_package (str or None): if provided, package to look for grids. Default to the package with the `train.py` module followed by `.grids`. z ./outputsdirr0r:Fgit_saveNshared grid_packagez history.jsonhistoryxpsshepzrendezvous.txtrendezvous_fileuse_rendezvousgrids_gridscodes_codesarg_namereturncNURHn[X5(dM g g)zMReturn True if the given argument name should be excluded from the signature.TF)r:r)selfrnpatterns r is_excludedDoraConfig.is_excludeds%||Gx))$rcd>US;aSSKJn Ub[U"U55n[TU]X5 g)N)rarcr%)to_absolute_path)rbrvrsuper __setattr__)rqnamerrvrs rrxDoraConfig.__setattr__s2 $ $ 2 -e45 D(rr=)r>r?r@rArBrrarDrrHr:rFrIrrbrJrcrGrdrerfrTrgrhrirkrmrsrxrK __classcell__)rs@rr_r_s$[!C!!$7GRWWS\7Hd $FBKK $%)L"++c")"GS!CZ8D*8+OS+ ND FCFCCD))rr_)rBargparser dataclassesrrrpathlibrtypingrFomegaconf.dictconfigr omegaconfr Anyrr!r#rMrTr_r=rrrs(+*266** FBFF F F /%/% /%d  (      1)1) 1)r