def run_phonon(task_type,jdata,mdata): user= ('user_incar' in jdata.keys()) work_path=util.make_work_path(jdata,'06.phonon',False,False,user) all_task = glob.glob(os.path.join(work_path,'.')) #vasp if task_type == "vasp": mdata=decide_fp_machine(mdata) machine,resources,command,group_size=util.get_machine_info(mdata,task_type) run_tasks = util.collect_task(all_task,task_type) forward_files = ['INCAR', 'POTCAR','KPOINTS','KPOINTS'] backward_files = ['OUTCAR', task_type+'.out' , 'OSZICAR','vasprun.xml'] common_files=['POSCAR'] if ('cvasp' in jdata) and (jdata['cvasp'] == True): mdata['fp_resources']['cvasp'] = True forward_files.append('cvasp.py') disp = make_dispatcher(machine, resources, work_path, run_tasks, group_size) disp.run_jobs(resources, command, work_path, run_tasks, group_size, common_files, forward_files, backward_files, outlog=task_type+'.out', errlog=task_type+'.err') #lammps elif task_type in lammps_task_type: None else: raise RuntimeError ("unknown task %s, something wrong" % task_type)
def run_phonon(task_type, jdata, mdata): user = ('user_incar' in jdata.keys()) work_path = util.make_work_path(jdata, '06.phonon', False, False, user) all_task = glob.glob(os.path.join(work_path, '.')) #vasp if task_type == "vasp": mdata = decide_fp_machine(mdata) machine, machine_type, ssh_sess, resources, command, group_size = util.get_machine_info( mdata, task_type) run_tasks = util.collect_task(all_task, task_type) forward_files = ['INCAR', 'POTCAR', 'KPOINTS'] backward_files = ['OUTCAR', 'OSZICAR', 'vasprun.xml'] common_files = ['POSCAR'] _run(machine, machine_type, ssh_sess, resources, command, work_path, run_tasks, group_size, common_files, forward_files, backward_files) #lammps elif task_type in lammps_task_type: None else: raise RuntimeError("unknow task %s, something wrong" % task_type)
def run_equi(task_type,jdata,mdata): #rmprint("This module has been run !") work_path=util.make_work_path(jdata,'00.equi',False,False,False) all_task = glob.glob(os.path.join(work_path,'.')) #vasp if task_type=="vasp": mdata=decide_fp_machine(mdata) forward_files = ['INCAR', 'POTCAR', 'KPOINTS'] if ('cvasp' in jdata) and (jdata['cvasp'] == True): mdata['fp_resources']['cvasp'] = True forward_files.append('cvasp.py') backward_files = ['OUTCAR', task_type+'.out' , 'CONTCAR','OSZICAR'] common_files=['POSCAR'] #lammps elif task_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) forward_files = ['conf.lmp', 'lammps.in'] backward_files = ['dump.relax','log.lammps', task_type+'.out'] fp_params = jdata['lammps_params'] model_dir = fp_params['model_dir'] model_dir = os.path.abspath(model_dir) model_name =fp_params['model_name'] if not model_name : models = glob.glob(os.path.join(model_dir, '*pb')) model_name = [os.path.basename(ii) for ii in models] else: models = [os.path.join(model_dir,ii) for ii in model_name] common_files = model_name if len(model_name)>1 and task_type == 'deepmd': backward_files = backward_files + ['model_devi.out'] else: raise RuntimeError ("unknow task %s, something wrong" % task_type) run_tasks = util.collect_task(all_task,task_type) if len(run_tasks)==0: return machine,resources,command,group_size=util.get_machine_info(mdata,task_type) disp = make_dispatcher(machine, resources, work_path, run_tasks, group_size) #debug# #print(' '.join(common_files)) #print(' '.join(forward_files)) #print(' '.join(backward_files)) disp.run_jobs(resources, command, work_path, run_tasks, group_size, common_files, forward_files, backward_files, outlog=task_type+'.out', errlog=task_type+'.err')
def run_surf(task_type,jdata,mdata): static=jdata['static-opt'] work_path=util.make_work_path(jdata,'05.surf',False,static,False) all_task = glob.glob(os.path.join(work_path,'struct-*')) #vasp if task_type == "vasp": mdata=decide_fp_machine(mdata) forward_files = ['INCAR', 'POSCAR','POTCAR','KPOINTS'] backward_files = ['OUTCAR', task_type+'.out' , 'OSZICAR'] common_files=['INCAR','POTCAR'] if ('cvasp' in jdata) and (jdata['cvasp'] == True): mdata['fp_resources']['cvasp'] = True forward_files.append('cvasp.py') #lammps elif task_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) fp_params = jdata['lammps_params'] model_dir = fp_params['model_dir'] model_dir = os.path.abspath(model_dir) model_name =fp_params['model_name'] if not model_name : models = glob.glob(os.path.join(model_dir, '*pb')) model_name = [os.path.basename(ii) for ii in models] else: models = [os.path.join(model_dir,ii) for ii in model_name] forward_files = ['conf.lmp', 'lammps.in']+model_name backward_files = ['log.lammps',task_type+'.out'] common_files=['lammps.in']+model_name if len(model_name)>1 and task_type == 'deepmd': backward_files = backward_files + ['model_devi.out'] else: raise RuntimeError ("unknow task %s, something wrong" % task_type) run_tasks = util.collect_task(all_task,task_type) if len(run_tasks)==0: return else: run_tasks = [os.path.basename(ii) for ii in all_task] machine,resources,command,group_size=util.get_machine_info(mdata,task_type) disp = make_dispatcher(machine, resources, work_path, run_tasks, group_size) disp.run_jobs(resources, command, work_path, run_tasks, group_size, common_files, forward_files, backward_files, outlog=task_type+'.out', errlog=task_type+'.err')
def run_equi(confs, inter_param, mdata): # find all POSCARs and their name like mp-xxx # ... conf_dirs = [] for conf in confs: conf_dirs.extend(glob.glob(conf)) conf_dirs.sort() # generate a list of task names like mp-xxx/relaxation/relax_task # ... work_path_list = [] for ii in conf_dirs: work_path_list.append(os.path.abspath(os.path.join(ii, 'relaxation'))) all_task = [] for ii in work_path_list: all_task.append(os.path.join(ii, 'relax_task')) inter_type = inter_param['type'] # vasp if inter_type == "vasp": mdata = decide_fp_machine(mdata) elif inter_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) else: raise RuntimeError("unknown task %s, something wrong" % inter_type) # dispatch the tasks # POSCAR here is useless virtual_calculator = make_calculator(inter_param, "POSCAR") forward_files = virtual_calculator.forward_files() forward_common_files = virtual_calculator.forward_common_files() backward_files = virtual_calculator.backward_files() # backward_files += logs # ... run_tasks = util.collect_task(all_task, inter_type) if len(run_tasks) == 0: return else: run_tasks = [os.path.basename(ii) for ii in all_task] machine, resources, command, group_size = util.get_machine_info(mdata, inter_type) print('%d tasks will be submited '%len(run_tasks)) for ii in range(len(work_path_list)): work_path = work_path_list[ii] disp = make_dispatcher(machine, resources, work_path, [run_tasks[ii]], group_size) print("%s --> Runing... "%(work_path)) disp.run_jobs(resources, command, work_path, [run_tasks[ii]], group_size, forward_common_files, forward_files, backward_files, outlog='outlog', errlog='errlog')
def run_vacancy(task_type,jdata,mdata): work_path=util.make_work_path(jdata,'03.vacancy',False,False,False) all_task = glob.glob(os.path.join(work_path,'struct-*')) #vasp if task_type == "vasp": mdata=decide_fp_machine(mdata) forward_files = ['INCAR', 'POSCAR','POTCAR'] backward_files = ['OUTCAR', 'autotest.out' , 'OSZICAR'] common_files=['INCAR','POTCAR'] #lammps elif task_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) fp_params = jdata['lammps_params'] model_dir = fp_params['model_dir'] model_dir = os.path.abspath(model_dir) model_name =fp_params['model_name'] if not model_name : models = glob.glob(os.path.join(model_dir, '*pb')) model_name = [os.path.basename(ii) for ii in models] else: models = [os.path.join(model_dir,ii) for ii in model_name] common_files = model_name forward_files = ['conf.lmp', 'lammps.in']+model_name backward_files = ['log.lammps','autotest.out'] common_files=['lammps.in']+model_name if len(model_name)>1 and task_type == 'deepmd': backward_files = backward_files + ['model_devi.out'] else: raise RuntimeError ("unknow task %s, something wrong" % task_type) run_tasks = util.collect_task(all_task,task_type) if len(run_tasks)==0: return machine,machine_type,ssh_sess,resources,command,group_size=util.get_machine_info(mdata,task_type) disp = make_dispatcher(machine) disp.run_jobs(resources, command, work_path, run_tasks, group_size, common_files, forward_files, backward_files, outlog='autotest.out', errlog='autotest.err')
def run_equi(confs, inter_param, mdata): # find all POSCARs and their name like mp-xxx # ... conf_dirs = glob.glob(confs) conf_dirs.sort() # generate a list of task names like mp-xxx/relaxation # ... work_path_list = [] for ii in conf_dirs: work_path_list.append(os.path.join(ii, 'relaxation')) all_task = [] for ii in work_path_list: all_task.append(os.path.join(ii, '.')) inter_type = inter_param['type'] # vasp if inter_type == "vasp": mdata = decide_fp_machine(mdata) elif inter_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) else: raise RuntimeError("unknown task %s, something wrong" % task_type) # dispatch the tasks forward_files, forward_common_files, backward_files = make_task_trans_files( inter_param) # backward_files += logs # ... run_tasks = util.collect_task(all_task, inter_type) if len(run_tasks) == 0: return else: run_tasks = [os.path.basename(ii) for ii in all_task] machine, resources, command, group_size = util.get_machine_info( mdata, inter_type) for ii in range(len(work_path_list)): work_path = work_path_list[ii] disp = make_dispatcher(machine, resources, work_path, run_tasks[ii], group_size) disp.run_jobs(resources, command, work_path, run_tasks[ii], group_size, forward_common_files, forward_files, backward_files, outlog=inter_type + '.out', errlog=inter_type + '.err')
def run_equi(task_type, jdata, mdata): #rmprint("This module has been run !") work_path = util.make_work_path(jdata, '00.equi', False, False, False) all_task = glob.glob(os.path.join(work_path, '.')) #vasp if task_type == "vasp": mdata = decide_fp_machine(mdata) forward_files = ['INCAR', 'POTCAR'] backward_files = ['OUTCAR', 'CONTCAR', 'OSZICAR'] common_files = ['POSCAR'] #lammps elif task_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) forward_files = ['conf.lmp', 'lammps.in'] backward_files = ['dump.relax', 'log.lammps', 'model_devi.log'] fp_params = jdata['lammps_params'] model_dir = fp_params['model_dir'] model_dir = os.path.abspath(model_dir) model_name = fp_params['model_name'] if not model_name: models = glob.glob(os.path.join(model_dir, '*pb')) model_name = [os.path.basename(ii) for ii in models] else: models = [os.path.join(model_dir, ii) for ii in model_name] common_files = model_name if len(model_name) > 1 and task_type == 'deepmd': backward_files = backward_files + ['model_devi.out'] else: raise RuntimeError("unknow task %s, something wrong" % task_type) run_tasks = util.collect_task(all_task, task_type) machine, machine_type, ssh_sess, resources, command, group_size = util.get_machine_info( mdata, task_type) _run(machine, machine_type, ssh_sess, resources, command, work_path, run_tasks, group_size, common_files, forward_files, backward_files)
def run_property(confs, inter_param, property_list, mdata): # find all POSCARs and their name like mp-xxx # ... # conf_dirs = glob.glob(confs) # conf_dirs.sort() processes = len(property_list) pool = Pool(processes=processes) print("Submit job via %d processes" % processes) conf_dirs = [] for conf in confs: conf_dirs.extend(glob.glob(conf)) conf_dirs.sort() task_list = [] work_path_list = [] for ii in conf_dirs: sepline(ch=ii, screen=True) for jj in property_list: # determine the suffix: from scratch or refine # ... if jj.get("skip", False): continue if 'init_from_suffix' and 'output_suffix' in jj: suffix = jj['output_suffix'] elif 'reproduce' in jj and jj['reproduce']: suffix = 'reprod' else: suffix = '00' property_type = jj['type'] path_to_work = os.path.abspath( os.path.join(ii, property_type + '_' + suffix)) work_path_list.append(path_to_work) tmp_task_list = glob.glob( os.path.join(path_to_work, 'task.[0-9]*[0-9]')) tmp_task_list.sort() task_list.append(tmp_task_list) inter_param_prop = inter_param if 'cal_setting' in jj and 'overwrite_interaction' in jj[ 'cal_setting']: inter_param_prop = jj['cal_setting']['overwrite_interaction'] # dispatch the tasks # POSCAR here is useless virtual_calculator = make_calculator(inter_param_prop, "POSCAR") forward_files = virtual_calculator.forward_files(property_type) forward_common_files = virtual_calculator.forward_common_files( property_type) backward_files = virtual_calculator.backward_files(property_type) # backward_files += logs # ... inter_type = inter_param_prop['type'] # vasp if inter_type == "vasp": mdata = decide_fp_machine(mdata) elif inter_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) else: raise RuntimeError("unknown task %s, something wrong" % inter_type) work_path = path_to_work all_task = tmp_task_list run_tasks = util.collect_task(all_task, inter_type) if len(run_tasks) == 0: return else: ret = pool.apply_async(worker, ( work_path, all_task, forward_common_files, forward_files, backward_files, mdata, inter_type, )) # run_tasks = [os.path.basename(ii) for ii in all_task] # machine, resources, command, group_size = util.get_machine_info(mdata, inter_type) # disp = make_dispatcher(machine, resources, work_path, run_tasks, group_size) # disp.run_jobs(resources, # command, # work_path, # run_tasks, # group_size, # forward_common_files, # forward_files, # backward_files, # outlog='outlog', # errlog='errlog') pool.close() pool.join() if ret.successful(): print('finished')
def run_equi(confs, inter_param, mdata): # find all POSCARs and their name like mp-xxx # ... conf_dirs = [] for conf in confs: conf_dirs.extend(glob.glob(conf)) conf_dirs.sort() # generate a list of task names like mp-xxx/relaxation/relax_task # ... work_path_list = [] for ii in conf_dirs: work_path_list.append(os.path.abspath(os.path.join(ii, 'relaxation'))) all_task = [] for ii in work_path_list: all_task.append(os.path.join(ii, 'relax_task')) inter_type = inter_param['type'] # vasp if inter_type == "vasp": mdata = convert_mdata(mdata, ["fp"]) elif inter_type in lammps_task_type: mdata = convert_mdata(mdata, ["model_devi"]) else: raise RuntimeError("unknown task %s, something wrong" % inter_type) # dispatch the tasks # POSCAR here is useless virtual_calculator = make_calculator(inter_param, "POSCAR") forward_files = virtual_calculator.forward_files() forward_common_files = virtual_calculator.forward_common_files() backward_files = virtual_calculator.backward_files() # backward_files += logs # ... run_tasks = util.collect_task(all_task, inter_type) if len(run_tasks) == 0: return else: # if LooseVersion() run_tasks = [os.path.basename(ii) for ii in all_task] machine, resources, command, group_size = util.get_machine_info( mdata, inter_type) print('%d tasks will be submited ' % len(run_tasks)) for ii in range(len(work_path_list)): work_path = work_path_list[ii] disp = make_dispatcher(machine, resources, work_path, [run_tasks[ii]], group_size) print("%s --> Runing... " % (work_path)) api_version = mdata.get('api_version', '0.9') if LooseVersion(api_version) < LooseVersion('1.0'): warnings.warn( f"the dpdispatcher will be updated to new version." f"And the interface may be changed. Please check the documents for more details" ) disp.run_jobs(resources, command, work_path, [run_tasks[ii]], group_size, forward_common_files, forward_files, backward_files, outlog='outlog', errlog='errlog') elif LooseVersion(api_version) >= LooseVersion('1.0'): submission = make_submission( mdata_machine=machine, mdata_resource=resources, commands=[command], work_path=work_path, run_tasks=run_tasks, group_size=group_size, forward_common_files=forward_common_files, forward_files=forward_files, backward_files=backward_files, outlog='outlog', errlog='errlog') submission.run_submission()
def run_interstitial(task_type,jdata,mdata): reprod_opt=jdata['reprod-opt'] work_path=util.make_work_path(jdata,'04.interstitial',reprod_opt,False,False) all_task = glob.glob(os.path.join(work_path,'struct-*')) #vasp if task_type == "vasp": mdata=decide_fp_machine(mdata) forward_files = ['INCAR', 'POSCAR','POTCAR',"KPOINTS"] backward_files = ['OUTCAR', task_type+'.out' , 'XDATCAR','OSZICAR'] common_files=['INCAR'] if ('cvasp' in jdata) and (jdata['cvasp'] == True): mdata['fp_resources']['cvasp'] = True forward_files.append('cvasp.py') #lammps elif task_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) if reprod_opt: all_frame=[] for ii in all_task: all_frame+=(glob.glob(os.path.join(ii,'frame.*'))) work_path = all_task all_task = all_frame run_tasks_ = [] for ii in all_task: # fres = os.path.join(ii, 'log.lammps') # if os.path.isfile(fres) : # if not lammps.check_finished(fres): # run_tasks_.append(ii) # else : # run_tasks_.append(ii) run_tasks_.append(ii) fp_params = jdata['lammps_params'] model_dir = fp_params['model_dir'] model_dir = os.path.abspath(model_dir) model_name =fp_params['model_name'] if not model_name : models = glob.glob(os.path.join(model_dir, '*pb')) model_name = [os.path.basename(ii) for ii in models] else: models = [os.path.join(model_dir,ii) for ii in model_name] forward_files = ['conf.lmp', 'lammps.in']+model_name backward_files = ['log.lammps', task_type+'.out'] common_files=['lammps.in']+model_name if len(model_name)>1 and task_type == 'deepmd': backward_files = backward_files + ['model_devi.out'] else: raise RuntimeError ("unknow task %s, something wrong" % task_type) machine,resources,command,group_size=util.get_machine_info(mdata,task_type) if reprod_opt: for ii in work_path: run_tasks=[] for jj in run_tasks_: if ii in jj: run_tasks.append(os.path.basename(jj)) disp = make_dispatcher(machine, resources, work_path, run_tasks, group_size) disp.run_jobs(resources, command, ii, run_tasks, group_size, common_files, forward_files, backward_files, outlog=task_type+'.out', errlog=task_type+'.err') else: run_tasks = util.collect_task(all_task,task_type) if len(run_tasks)==0: return else: run_tasks = [os.path.basename(ii) for ii in all_task] disp = make_dispatcher(machine, resources, work_path, run_tasks, group_size) disp.run_jobs(resources, command, work_path, run_tasks, group_size, common_files, forward_files, backward_files, outlog=task_type+'.out', errlog=task_type+'.err')
def run_property(confs, inter_param, property_list, mdata): # find all POSCARs and their name like mp-xxx # ... # conf_dirs = glob.glob(confs) # conf_dirs.sort() processes = len(property_list) pool = Pool(processes=processes) print("Submit job via %d processes" % processes) conf_dirs = [] for conf in confs: conf_dirs.extend(glob.glob(conf)) conf_dirs.sort() task_list = [] work_path_list = [] multiple_ret = [] for ii in conf_dirs: sepline(ch=ii, screen=True) for jj in property_list: # determine the suffix: from scratch or refine # ... if jj.get("skip", False): continue if 'init_from_suffix' and 'output_suffix' in jj: suffix = jj['output_suffix'] elif 'reproduce' in jj and jj['reproduce']: suffix = 'reprod' else: suffix = '00' property_type = jj['type'] path_to_work = os.path.abspath( os.path.join(ii, property_type + '_' + suffix)) work_path_list.append(path_to_work) tmp_task_list = glob.glob( os.path.join(path_to_work, 'task.[0-9]*[0-9]')) tmp_task_list.sort() task_list.append(tmp_task_list) inter_param_prop = inter_param if 'cal_setting' in jj and 'overwrite_interaction' in jj[ 'cal_setting']: inter_param_prop = jj['cal_setting']['overwrite_interaction'] # dispatch the tasks # POSCAR here is useless virtual_calculator = make_calculator(inter_param_prop, "POSCAR") forward_files = virtual_calculator.forward_files(property_type) forward_common_files = virtual_calculator.forward_common_files( property_type) backward_files = virtual_calculator.backward_files(property_type) # backward_files += logs # ... inter_type = inter_param_prop['type'] # vasp if inter_type == "vasp": mdata = convert_mdata(mdata, ["fp"]) elif inter_type in lammps_task_type: mdata = convert_mdata(mdata, ["model_devi"]) else: raise RuntimeError("unknown task %s, something wrong" % inter_type) work_path = path_to_work all_task = tmp_task_list run_tasks = util.collect_task(all_task, inter_type) if len(run_tasks) == 0: continue else: ret = pool.apply_async(worker, ( work_path, all_task, forward_common_files, forward_files, backward_files, mdata, inter_type, )) multiple_ret.append(ret) pool.close() pool.join() for ii in range(len(multiple_ret)): if not multiple_ret[ii].successful(): raise RuntimeError("Job %d is not successful!" % ii) print('%d jobs are finished' % len(multiple_ret))
def run_equi(confs, inter_param, mdata): # find all POSCARs and their name like mp-xxx # ... conf_dirs = [] for conf in confs: conf_dirs.extend(glob.glob(conf)) conf_dirs.sort() processes = len(conf_dirs) pool = Pool(processes=processes) print("Submit job via %d processes" % processes) # generate a list of task names like mp-xxx/relaxation/relax_task # ... work_path_list = [] for ii in conf_dirs: work_path_list.append(os.path.abspath(os.path.join(ii, 'relaxation'))) all_task = [] for ii in work_path_list: all_task.append(os.path.join(ii, 'relax_task')) inter_type = inter_param['type'] # vasp if inter_type == "vasp": mdata = convert_mdata(mdata, ["fp"]) elif inter_type in lammps_task_type: mdata = convert_mdata(mdata, ["model_devi"]) else: raise RuntimeError("unknown task %s, something wrong" % inter_type) # dispatch the tasks # POSCAR here is useless virtual_calculator = make_calculator(inter_param, "POSCAR") forward_files = virtual_calculator.forward_files() forward_common_files = virtual_calculator.forward_common_files() backward_files = virtual_calculator.backward_files() # backward_files += logs # ... run_tasks = util.collect_task(all_task, inter_type) if len(run_tasks) == 0: return else: run_tasks = [os.path.basename(ii) for ii in all_task] machine, resources, command, group_size = util.get_machine_info( mdata, inter_type) print('%d tasks will be submited ' % len(run_tasks)) multiple_ret = [] for ii in range(len(work_path_list)): work_path = work_path_list[ii] ret = pool.apply_async(worker, ( work_path, run_tasks[ii], forward_common_files, forward_files, backward_files, mdata, inter_type, )) multiple_ret.append(ret) pool.close() pool.join() for ii in range(len(multiple_ret)): if not multiple_ret[ii].successful(): raise RuntimeError( "Task %d is not successful! work_path: %s " % (ii, work_path_list[ii])) print('finished')
def run_property(confs, inter_param, property_list, mdata): # find all POSCARs and their name like mp-xxx # ... conf_dirs = glob.glob(confs) conf_dirs.sort() task_list = [] work_path_list = [] for ii in conf_dirs: for jj in property_list: # determine the suffix: from scratch or refine # ... if 'init_from_suffix' and 'output_suffix' in jj: suffix = jj['output_suffix'] else: suffix = 0 property_type = jj['type'] path_to_work = os.path.join(ii, property_type + '_' + suffix) work_path_list.append(path_to_work) tmp_task_list = glob.glob( os.path.join(path_to_work, 'task.[0-9]*[0-9]')) tmp_task_list.sort() task_list.append(tmp_task_list) # dispatch the tasks forward_files, forward_common_files, backward_files = make_task_trans_files( inter_param) # backward_files += logs # ... task_type = inter_param['type'] # vasp if task_type == "vasp": mdata = decide_fp_machine(mdata) elif task_type in lammps_task_type: mdata = decide_model_devi_machine(mdata) else: raise RuntimeError("unknown task %s, something wrong" % task_type) for ii in range(len(work_path_list)): work_path = work_path_list[ii] all_task = task_list[ii] run_tasks = util.collect_task(all_task, task_type) if len(run_tasks) == 0: return else: run_tasks = [os.path.basename(ii) for ii in all_task] machine, resources, command, group_size = util.get_machine_info( mdata, task_type) disp = make_dispatcher(machine, resources, work_path, run_tasks, group_size) disp.run_jobs(resources, command, work_path, run_tasks, group_size, forward_common_files, forward_files, backward_files, outlog=task_type + '.out', errlog=task_type + '.err')