示例#1
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    def launch(self, job_overrides):
        setup_globals()
        configure_log(self.config.hydra.hydra_logging,
                      self.config.hydra.verbose)
        sweep_dir = self.config.hydra.sweep.dir
        Path(str(sweep_dir)).mkdir(parents=True, exist_ok=True)
        log.info("Launching {} jobs locally".format(len(job_overrides)))
        runs = []

        for idx, overrides in enumerate(job_overrides):
            log.info("\t#{} : {}".format(idx, " ".join(
                filter_overrides(overrides))))
            sweep_config = self.config_loader.load_sweep_config(
                self.config, list(overrides))
            with open_dict(sweep_config):
                sweep_config.hydra.job.id = idx
                sweep_config.hydra.job.num = idx
            HydraConfig().set_config(sweep_config)
            ret = run_job(
                config=sweep_config,
                task_function=self.task_function,
                job_dir_key="hydra.sweep.dir",
                job_subdir_key="hydra.sweep.subdir",
            )
            runs.append(ret)
            configure_log(self.config.hydra.hydra_logging,
                          self.config.hydra.verbose)
        return runs
示例#2
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def test_to_absolute_path(orig_cwd, path, expected):
    # normalize paths to current OSg
    orig_cwd = str(Path(orig_cwd))
    path = str(Path(path))
    expected = str(Path(expected))
    cfg = OmegaConf.create({"hydra": {"runtime": {"cwd": orig_cwd}}})
    HydraConfig().set_config(cfg)
    assert utils.to_absolute_path(path) == expected
示例#3
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def test_to_absolute_path(orig_cwd: str, path: str, expected: str) -> None:
    # normalize paths to current OS
    orig_cwd = str(Path(orig_cwd))
    path = str(Path(path))
    expected = str(Path(expected))
    cfg = OmegaConf.create({"hydra": {"runtime": {"cwd": orig_cwd}}})
    assert isinstance(cfg, DictConfig)
    HydraConfig().set_config(cfg)
    assert utils.to_absolute_path(path) == expected
示例#4
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文件: hydra.py 项目: blackc03r/hydra
 def run(
     self,
     config_file: Optional[str],
     task_function: TaskFunction,
     overrides: List[str],
 ) -> JobReturn:
     cfg = self.compose_config(config_file=config_file,
                               overrides=overrides,
                               with_log_configuration=True)
     HydraConfig().set_config(cfg)
     return run_job(
         config=cfg,
         task_function=task_function,
         job_dir_key="hydra.run.dir",
         job_subdir_key=None,
     )
    def launch(self, job_overrides):
        """
        :param job_overrides: a List of List<String>, where each inner list is the arguments for one job run.
        :return: an array of return values from run_job with indexes corresponding to the input list indexes.
        """
        configure_log(self.config.hydra.hydra_logging,
                      self.config.hydra.verbose)
        sweep_dir = Path(str(self.config.hydra.sweep.dir))
        sweep_dir.mkdir(parents=True, exist_ok=True)
        log.info("Ray Launcher is launching {} jobs locally".format(
            len(job_overrides)))
        log.info("Sweep output dir : {}".format(sweep_dir))
        runs = []

        for idx, overrides in enumerate(job_overrides):
            log.info("\t#{} : {}".format(idx, " ".join(
                filter_overrides(overrides))))
            sweep_config = self.config_loader.load_sweep_config(
                self.config, list(overrides))
            with open_dict(sweep_config):
                # This typically coming from the underlying scheduler (SLURM_JOB_ID for instance)
                # In that case, it will not be available here because we are still in the main process.
                # but instead should be populated remotely before calling the task_function.
                sweep_config.hydra.job.id = idx
                sweep_config.hydra.job.num = idx
            HydraConfig().set_config(sweep_config)

            ray_remote_cfg = get_key(self.config, 'ray.remote')
            if ray_remote_cfg:
                run_job_ray = ray.remote(**ray_remote_cfg)(launch)
            else:
                run_job_ray = ray.remote(launch)

            ret = run_job_ray.remote(
                config=sweep_config,
                task_function=self.task_function,
                job_dir_key="hydra.sweep.dir",
                job_subdir_key="hydra.sweep.subdir",
            )

            runs.append(ret)
            configure_log(self.config.hydra.hydra_logging,
                          self.config.hydra.verbose)

        return [ray.get(run) for run in runs]
示例#6
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    def launch(self,
               job_overrides: Sequence[Sequence[str]]) -> Sequence[JobReturn]:
        """
        :param job_overrides: a List of List<String>, where each inner list is the arguments for one job run.
        :return: an array of return values from run_job with indexes corresponding to the input list indexes.
        """
        setup_globals()
        assert self.config is not None
        assert self.config_loader is not None
        assert self.task_function is not None

        configure_log(self.config.hydra.hydra_logging,
                      self.config.hydra.verbose)
        sweep_dir = Path(str(self.config.hydra.sweep.dir))
        sweep_dir.mkdir(parents=True, exist_ok=True)
        log.info(
            "Example Launcher(foo={}, bar={}) is launching {} jobs locally".
            format(self.foo, self.bar, len(job_overrides)))
        log.info("Sweep output dir : {}".format(sweep_dir))
        runs = []

        for idx, overrides in enumerate(job_overrides):
            log.info("\t#{} : {}".format(idx, " ".join(
                filter_overrides(overrides))))
            sweep_config = self.config_loader.load_sweep_config(
                self.config, list(overrides))
            with open_dict(sweep_config):
                # This typically coming from the underlying scheduler (SLURM_JOB_ID for instance)
                # In that case, it will not be available here because we are still in the main process.
                # but instead should be populated remotely before calling the task_function.
                sweep_config.hydra.job.id = "job_id_for_{}".format(idx)
                sweep_config.hydra.job.num = idx
            HydraConfig().set_config(sweep_config)

            ret = run_job(
                config=sweep_config,
                task_function=self.task_function,
                job_dir_key="hydra.sweep.dir",
                job_subdir_key="hydra.sweep.subdir",
            )
            runs.append(ret)
            configure_log(self.config.hydra.hydra_logging,
                          self.config.hydra.verbose)
        return runs
示例#7
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文件: hydra.py 项目: blackc03r/hydra
 def multirun(
     self,
     config_file: Optional[str],
     task_function: TaskFunction,
     overrides: List[str],
 ) -> Any:
     # Initial config is loaded without strict (individual job configs may have strict).
     cfg = self.compose_config(
         config_file=config_file,
         overrides=overrides,
         strict=False,
         with_log_configuration=True,
     )
     HydraConfig().set_config(cfg)
     sweeper = Plugins.instantiate_sweeper(config=cfg,
                                           config_loader=self.config_loader,
                                           task_function=task_function)
     task_overrides = cfg.hydra.overrides.task
     return sweeper.sweep(arguments=task_overrides)
示例#8
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def get_original_cwd():
    return HydraConfig().hydra.runtime.cwd
示例#9
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def get_original_cwd() -> str:
    ret = HydraConfig().hydra.runtime.cwd
    assert ret is not None and isinstance(ret, str)
    return ret
示例#10
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def test_get_original_cwd() -> None:
    orig = "/foo/bar"
    cfg = OmegaConf.create({"hydra": {"runtime": {"cwd": orig}}})
    assert isinstance(cfg, DictConfig)
    HydraConfig().set_config(cfg)
    assert utils.get_original_cwd() == orig
示例#11
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def test_get_original_cwd():
    orig = "/foo/bar"
    cfg = OmegaConf.create({"hydra": {"runtime": {"cwd": orig}}})
    HydraConfig().set_config(cfg)
    assert utils.get_original_cwd() == orig