How to use the funcx.executor.parsl.launchers.launchers.Launcher function in funcx

cp /dev/null $PFILE

for COUNT in $(seq 1 1 $WORKERCOUNT)
do
    echo "sh cmd_$JOBNAME.sh" >> $PFILE
done

parallel --env _ --joblog "$JOBNAME.sh.parallel.log" \
    --sshloginfile $SSHLOGINFILE --jobs {1} < $PFILE

echo "All workers done"
'''.format(command, tasks_per_node, nodes_per_block, task_blocks)
        return x


class MpiExecLauncher(Launcher):
    """ Worker launcher that wraps the user's command with the framework to
    launch multiple command invocations via mpiexec.

    This wrapper sets the bash env variable CORES to the number of cores on the
    machine.

    This launcher makes the following assumptions:
    - mpiexec is installed and can be located in $PATH
    - The provider makes available the $PBS_NODEFILE environment variable
    """
    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """
        Args:
        - command (string): The command string to be launched
        - task_block (string) : bash evaluated string.

CMD ( ) {{
{0}
}}
for COUNT in $(seq 1 1 $WORKERCOUNT)
do
    echo "Launching worker: $COUNT"
    CMD &
done
wait
echo "All workers done"
'''.format(command, task_blocks)
        return x


class GnuParallelLauncher(Launcher):
    """ Worker launcher that wraps the user's command with the framework to
    launch multiple command invocations via GNU parallel sshlogin.

    This wrapper sets the bash env variable CORES to the number of cores on the
    machine.

    This launcher makes the following assumptions:
    - GNU parallel is installed and can be located in $PATH
    - Paswordless SSH login is configured between the controller node and the
      target nodes.
    - The provider makes available the $PBS_NODEFILE environment variable
    """
    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """
        Args:
        - command (string): The command string to be launched

sort -u $PBS_NODEFILE > $HOSTFILE
fi

cat << MPIEXEC_EOF > cmd_$JOBNAME.sh
{0}
MPIEXEC_EOF
chmod u+x cmd_$JOBNAME.sh

mpiexec --bind-to none -n $WORKERCOUNT --hostfile $HOSTFILE /usr/bin/sh cmd_$JOBNAME.sh

echo "All workers done"
'''.format(command, tasks_per_node, nodes_per_block, task_blocks)
        return x


class SrunLauncher(Launcher):
    """ Worker launcher that wraps the user's command with the SRUN launch framework
    to launch multiple cmd invocations in parallel on a single job allocation.
    """

    def __init__(self, overrides=''):
        """
        Parameters
        ----------

        overrides: str
             This string will be passed to the srun launcher. Default: ''
        """
        self.overrides = overrides

    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """

NODES_PER_BLOCK=$(( $NODES / $TASKBLOCKS ))
    for blk in $(seq 1 1 $TASKBLOCKS):
    do
        srun --exclusive --nodes $NODES_PER_BLOCK -l {overrides} bash cmd_$SLURM_JOB_NAME.sh &
    done
    wait

fi


echo "Done"
'''.format(command, task_blocks, overrides=self.overrides)
        return x


class AprunLauncher(Launcher):
    """  Worker launcher that wraps the user's command with the Aprun launch framework
    to launch multiple cmd invocations in parallel on a single job allocation

    """
    def __init__(self, overrides=''):
        """
        Parameters
        ----------

        overrides: str
             This string will be passed to the aprun launcher. Default: ''
        """
        self.overrides = overrides

    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """

from parsl.utils import RepresentationMixin


class Launcher(RepresentationMixin, metaclass=ABCMeta):
    """ Launcher base class to enforce launcher interface
    """
    @abstractmethod
    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """ Wraps the command with the Launcher calls.
        *MUST* be implemented by the concrete child classes
        """
        pass


class SimpleLauncher(Launcher):
    """ Does no wrapping. Just returns the command as-is
    """

    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """
        Args:
        - command (string): The command string to be launched
        - task_block (string) : bash evaluated string.

        KWargs:
        - walltime (int) : This is not used by this launcher.
        """
        return command


class SingleNodeLauncher(Launcher):

""" Does no wrapping. Just returns the command as-is
    """

    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """
        Args:
        - command (string): The command string to be launched
        - task_block (string) : bash evaluated string.

        KWargs:
        - walltime (int) : This is not used by this launcher.
        """
        return command


class SingleNodeLauncher(Launcher):
    """ Worker launcher that wraps the user's command with the framework to
    launch multiple command invocations in parallel. This wrapper sets the
    bash env variable CORES to the number of cores on the machine. By setting
    task_blocks to an integer or to a bash expression the number of invocations
    of the command to be launched can be controlled.
    """
    def __call__(self, command, tasks_per_node, nodes_per_block, walltime=None):
        """
        Args:
        - command (string): The command string to be launched
        - task_block (string) : bash evaluated string.

        KWargs:
        - walltime (int) : This is not used by this launcher.
        """
        task_blocks = tasks_per_node * nodes_per_block

cat << SLURM_EOF > cmd_$SLURM_JOB_NAME.sh
{0}
SLURM_EOF
chmod a+x cmd_$SLURM_JOB_NAME.sh

TASKBLOCKS={1}

srun --ntasks $TASKBLOCKS -l {overrides} bash cmd_$SLURM_JOB_NAME.sh

echo "Done"
'''.format(command, task_blocks, overrides=self.overrides)
        return x


class SrunMPILauncher(Launcher):
    """Launches as many workers as MPI tasks to be executed concurrently within a block.

    Use this launcher instead of SrunLauncher if each block will execute multiple MPI applications
    at the same time. Workers should be launched with independent Srun calls so as to setup the
    environment for MPI application launch.
    """
    def __init__(self, overrides=''):
        """
        Parameters
        ----------

        overrides: str
             This string will be passed to the launcher. Default: ''
        """
        self.overrides = overrides