通过 Dask 将自定义作业脚本提交到 PBS？

Question

我有一个带有可执行文件的 PBS 作业脚本，可将结果写入 out 文件。

### some lines

PBS_O_EXEDIR="path/to/software"
EXECUTABLE="executablefile"
OUTFILE="out"

### Copy application directory on compute node

[ -d $PBS_O_EXEDIR ] || mkdir -p $PBS_O_EXEDIR
[ -w $PBS_O_EXEDIR ] && \
rsync -Cavz --rsh=$SSH $HOST:$PBS_O_EXEDIR `dirname $PBS_O_EXEDIR`

[ -d $PBS_O_WORKDIR ] || mkdir -p $PBS_O_WORKDIR
rsync -Cavz --rsh=$SSH $HOST:$PBS_O_WORKDIR `dirname $PBS_O_WORKDIR`

# Change into the working directory
cd $PBS_O_WORKDIR

# Save the jobid in the outfile
echo "PBS-JOB-ID was $PBS_JOBID" > $OUTFILE

# Run the executable
$PBS_O_EXEDIR/$EXECUTABLE >> $OUTFILE

在我的项目中，我必须使用 Dask 来提交作业并监控它们。因此，我配置了这样的 jobqueue.yaml 文件。

jobqueue:
     pbs:
         name: htc_calc

         # Dask worker options
         cores: 4                 # Total number of cores per job
         memory: 50GB                # Total amount of memory per job

         # PBS resource manager options
         shebang: "#!/usr/bin/env bash"
         walltime: '00:30:00'
         exe_dir: "/home/r/rb11/softwares/FPLO/bin"
         excutable: "fplo18.00-57-x86_64"
         outfile: "out"

         job-extra: "exe_dir/executable >> outfile"

但是，我在通过 Dask 提交作业时遇到了这个错误。

qsub: directive error: e


tornado.application - ERROR - Exception in callback functools.partial(<function wrap.<locals>.null_wrapper at 0x7f3d8c4a56a8>, <Task finished coro=<SpecCluster._correct_state_internal() done, defined at /home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/distributed/deploy/spec.py:284> exception=RuntimeError('Command exited with non-zero exit code.\nExit code: 1\nCommand:\nqsub /tmp/tmpwyvkfcmi.sh\nstdout:\n\nstderr:\nqsub: directive error: e \n\n',)>)
Traceback (most recent call last):
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/tornado/ioloop.py", line 758, in _run_callback
    ret = callback()
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/tornado/stack_context.py", line 300, in null_wrapper
    return fn(*args, **kwargs)
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/tornado/ioloop.py", line 779, in _discard_future_result
    future.result()
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/asyncio/futures.py", line 294, in result
    raise self._exception
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/asyncio/tasks.py", line 240, in _step
    result = coro.send(None)
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/distributed/deploy/spec.py", line 317, in _correct_state_internal
    await w  # for tornado gen.coroutine support
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/distributed/deploy/spec.py", line 41, in _
    await self.start()
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/dask_jobqueue/core.py", line 285, in start
    out = await self._submit_job(fn)
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/dask_jobqueue/core.py", line 268, in _submit_job
    return self._call(shlex.split(self.submit_command) + [script_filename])
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/dask_jobqueue/core.py", line 368, in _call
    "stderr:\n{}\n".format(proc.returncode, cmd_str, out, err)
RuntimeError: Command exited with non-zero exit code.
Exit code: 1
Command:
qsub /tmp/tmpwyvkfcmi.sh
stdout:

stderr:
qsub: directive error: e

如何在 Dask 中指定自定义 bash 脚本？

Answer 1

Dask 用于分发 Python 应用程序。在 Dask Jobqueue 的情况下，它通过向批处理系统提交调度程序和工作程序来工作，它们连接在一起形成自己的集群。然后，您可以将 Python 工作提交给 Dask 调度程序。

从您的示例来看，您似乎正在尝试将集群设置配置用于运行您自己的 bash 应用程序而不是 Dask。

为了用 Dask 做到这一点，你应该 return 将作业队列配置为默认值，而不是编写一个 Python 调用你的 bash 脚本的函数。

from dask_jobqueue import PBSCluster
cluster = PBSCluster()
cluster.scale(jobs=10)    # Deploy ten single-node jobs

from dask.distributed import Client
client = Client(cluster)  # Connect this local process to remote workers

client.submit(os.system, "/path/to/your/script")  # Run script on all workers

然而，Dask 似乎不太适合您正在尝试做的事情。您可能最好直接向 PBS 正常提交您的工作。

通过 Dask 将自定义作业脚本提交到 PBS？

Custom job script submission to PBS via Dask?

cluster-computing

pbs

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dask-distributed

dask-jobqueue