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[Update] Fix issue of *_param.py, avoid name conflict;add keep_tmp_file flag to support keep the temp config file. (#1640)
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2542bc6907
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@ -42,14 +42,15 @@ class DLCRunner(BaseRunner):
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eval_with_gpu: list = ['plugin_eval'],
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retry: int = 2,
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debug: bool = False,
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lark_bot_url: str = None):
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lark_bot_url: str = None,
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keep_tmp_file: bool = False):
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super().__init__(task=task, debug=debug, lark_bot_url=lark_bot_url)
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self.aliyun_cfg = aliyun_cfg
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self.max_num_workers = max_num_workers
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self.retry = retry
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self.eval_with_gpu = eval_with_gpu
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self.keep_tmp_file = keep_tmp_file
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logger = get_logger()
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logger.warning(
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'To ensure the integrity of the log results, the log displayed '
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@ -106,7 +107,10 @@ class DLCRunner(BaseRunner):
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# Dump task config to file
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mmengine.mkdir_or_exist('tmp/')
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param_file = f'tmp/{os.getpid()}_params.py'
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# Using uuid to avoid filename conflict
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import uuid
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uuid_str = str(uuid.uuid4())
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param_file = f'tmp/{uuid_str}_params.py'
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pwd = os.getcwd()
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try:
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cfg.dump(param_file)
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@ -305,7 +309,10 @@ class DLCRunner(BaseRunner):
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return_code = _run_within_retry()
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finally:
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# Clean up
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os.remove(param_file)
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if not self.keep_tmp_file:
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os.remove(param_file)
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else:
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pass
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return task_name, return_code
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@ -56,10 +56,12 @@ class LocalRunner(BaseRunner):
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debug: bool = False,
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max_workers_per_gpu: int = 1,
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lark_bot_url: str = None,
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keep_tmp_file: bool = False,
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**kwargs):
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super().__init__(task=task, debug=debug, lark_bot_url=lark_bot_url)
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self.max_num_workers = max_num_workers
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self.max_workers_per_gpu = max_workers_per_gpu
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self.keep_tmp_file = keep_tmp_file
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logger = get_logger()
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for k, v in kwargs.items():
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logger.warning(f'Ignored argument in {self.__module__}: {k}={v}')
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@ -100,7 +102,10 @@ class LocalRunner(BaseRunner):
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assert len(all_gpu_ids) >= num_gpus
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# get cmd
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mmengine.mkdir_or_exist('tmp/')
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param_file = f'tmp/{os.getpid()}_params.py'
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import uuid
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uuid_str = str(uuid.uuid4())
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param_file = f'tmp/{uuid_str}_params.py'
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try:
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task.cfg.dump(param_file)
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# if use torchrun, restrict it behaves the same as non
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@ -140,7 +145,10 @@ class LocalRunner(BaseRunner):
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stdout=log_file,
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stderr=subprocess.STDOUT)
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finally:
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os.remove(param_file)
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if not self.keep_tmp_file:
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os.remove(param_file)
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else:
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pass
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status.append((task_name, 0))
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else:
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if len(all_gpu_ids) > 0:
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@ -24,11 +24,11 @@ class SlurmSequentialRunner(BaseRunner):
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using `srun` command.
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This runner launches tasks one by one for execution. A new task will only
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be launched when and only when max_num_workers is not met, and the previous
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task has been successfully allocated to a machine. Therefore, unlike the
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`SlurmRunner`, at most only one task will be in the PENDING status at the
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same time during a run, making the random_sleep strategy no longer
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necessary. In addition, this runner also includes a feature to
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be launched when and only when max_num_workers is not met, and the
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previous task has been successfully allocated to a machine. Therefore,
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unlike the `SlurmRunner`, at most only one task will be in the PENDING
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status at the same time during a run, making the random_sleep strategy
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no longer necessary. In addition, this runner also includes a feature to
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automatically kill all jobs by the job_id on exit.
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The runner will obtain the job_id by reading the srun output similar to
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@ -59,7 +59,8 @@ class SlurmSequentialRunner(BaseRunner):
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qos: str = None,
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debug: bool = False,
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lark_bot_url: str = None,
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extra_command: Optional[List[str]] = None):
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extra_command: Optional[List[str]] = None,
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keep_tmp_file: bool = False):
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super().__init__(task=task, debug=debug, lark_bot_url=lark_bot_url)
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self.max_num_workers = max_num_workers
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self.retry = retry
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@ -67,6 +68,7 @@ class SlurmSequentialRunner(BaseRunner):
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self.quotatype = quotatype
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self.qos = qos
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self.task_prefix = task_prefix
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self.keep_tmp_file = keep_tmp_file
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if not extra_command:
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extra_command = []
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assert isinstance(extra_command, list)
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@ -171,7 +173,10 @@ class SlurmSequentialRunner(BaseRunner):
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# Dump task config to file
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mmengine.mkdir_or_exist('tmp/')
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param_file = f'tmp/{os.getpid()}_params.py'
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# Using uuid to avoid filename conflict
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import uuid
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uuid_str = str(uuid.uuid4())
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param_file = f'tmp/{uuid_str}_params.py'
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process = None
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try:
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cfg.dump(param_file)
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@ -256,7 +261,11 @@ class SlurmSequentialRunner(BaseRunner):
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child_conn.close()
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if process is not None:
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process.kill()
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os.remove(param_file)
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if not self.keep_tmp_file:
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os.remove(param_file)
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else:
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pass
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return task_name, process.returncode
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def _job_failed(self, return_code: int, output_paths: List[str]) -> bool:
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@ -47,7 +47,8 @@ class VOLCRunner(BaseRunner):
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max_num_workers: int = 32,
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retry: int = 2,
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debug: bool = False,
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lark_bot_url: str = None):
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lark_bot_url: str = None,
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keep_tmp_file: bool = False):
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super().__init__(task=task, debug=debug, lark_bot_url=lark_bot_url)
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self.volcano_cfg = volcano_cfg
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self.max_num_workers = max_num_workers
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@ -55,6 +56,7 @@ class VOLCRunner(BaseRunner):
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self.queue_name = queue_name
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self.preemptible = preemptible
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self.priority = priority
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self.keep_tmp_file = keep_tmp_file
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def launch(self, tasks: List[Dict[str, Any]]) -> List[Tuple[str, int]]:
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"""Launch multiple tasks.
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@ -100,9 +102,12 @@ class VOLCRunner(BaseRunner):
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pwd = os.getcwd()
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# Dump task config to file
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mmengine.mkdir_or_exist('tmp/')
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param_file = f'{pwd}/tmp/{os.getpid()}_params.py'
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# Using uuid to avoid filename conflict
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import uuid
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uuid_str = str(uuid.uuid4())
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param_file = f'{pwd}/tmp/{uuid_str}_params.py'
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volc_cfg_file = f'{pwd}/tmp/{os.getpid()}_cfg.yaml'
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volc_cfg_file = f'{pwd}/tmp/{uuid_str}_cfg.yaml'
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volc_cfg = self._choose_flavor(num_gpus)
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with open(volc_cfg_file, 'w') as fp:
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yaml.dump(volc_cfg, fp, sort_keys=False)
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@ -191,8 +196,12 @@ class VOLCRunner(BaseRunner):
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finally:
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# Clean up
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os.remove(param_file)
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os.remove(volc_cfg_file)
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if not self.keep_tmp_file:
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os.remove(param_file)
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os.remove(volc_cfg_file)
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else:
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pass
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return task_name, returncode
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def _run_task(self, cmd, log_path, poll_interval):
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