def fetch(self):
configpath = "http://{}/client/config/{}/{}".format(self.server, self.fqdn, self.secret)
self.logger.debug("Fetching {}".format(configpath))
cpu_info = cpuinfo.get_cpu_info()
sysinfo = {
"arch": platform.machine(),
"dist": " ".join(list(platform.linux_distribution())),
"cpu": cpu_info["brand"],
"cores": cpu_info["count"]
}
try:
response = requests.get(configpath, params=sysinfo)
if response.status_code == 200:
server_config = response.json()
if not server_config["enabled"]:
self.logger.error("This client hasn't been accepted on the server yet.")
self.logger.info("Retrying in {} minutes".format(server_config["polling_time"]))
sleep(60 * server_config["polling_time"])
self.fetch()
else:
self.logger.info("Config download successful")
self.send_throttle = server_config["send_throttle"]
self.monitor_enabled = server_config["monitor_enabled"]
else:
self.logger.error("Server error {} at http://{}".format(response.status_code, self.server))
exit(1)
except requests.exceptions.ConnectionError as e:
self.logger.error("Cannot connect to the server at http://{}".format(self.server))
exit(1)
def update(self):
"""Update quicklook stats using the input method."""
# Init new stats
stats = self.get_init_value()
# Grab quicklook stats: CPU, MEM and SWAP
if self.input_method == 'local':
# Get the latest CPU percent value
stats['cpu'] = cpu_percent.get()
stats['percpu'] = cpu_percent.get(percpu=True)
# Use the psutil lib for the memory (virtual and swap)
stats['mem'] = psutil.virtual_memory().percent
stats['swap'] = psutil.swap_memory().percent
elif self.input_method == 'snmp':
# Not available
pass
# Optionnaly, get the CPU name/frequency
# thanks to the cpuinfo lib: https://github.com/workhorsy/py-cpuinfo
if cpuinfo_tag:
cpu_info = cpuinfo.get_cpu_info()
# Check cpu_info (issue #881)
if cpu_info is not None:
stats['cpu_name'] = cpu_info.get('brand', 'CPU')
if 'hz_actual_raw' in cpu_info:
stats['cpu_hz_current'] = cpu_info['hz_actual_raw'][0]
if 'hz_advertised_raw' in cpu_info:
stats['cpu_hz'] = cpu_info['hz_advertised_raw'][0]
# Update the stats
self.stats = stats
return self.stats
def update(self):
"""Update quicklook stats using the input method."""
# Reset stats
self.reset()
# Grab quicklook stats: CPU, MEM and SWAP
if self.input_method == 'local':
# Get the latest CPU percent value
self.stats['cpu'] = cpu_percent.get()
self.stats['percpu'] = cpu_percent.get(percpu=True)
# Use the PsUtil lib for the memory (virtual and swap)
self.stats['mem'] = psutil.virtual_memory().percent
self.stats['swap'] = psutil.swap_memory().percent
elif self.input_method == 'snmp':
# Not available
pass
# Optionnaly, get the CPU name/frequency
# thanks to the cpuinfo lib: https://github.com/workhorsy/py-cpuinfo
if cpuinfo_tag:
cpu_info = cpuinfo.get_cpu_info()
self.stats['cpu_name'] = cpu_info['brand']
self.stats['cpu_hz_current'] = cpu_info['hz_actual_raw'][0]
self.stats['cpu_hz'] = cpu_info['hz_advertised_raw'][0]
# Update the view
self.update_views()
return self.stats
def update(self):
"""Get the latest data and updates the state."""
from cpuinfo import cpuinfo
self.info = cpuinfo.get_cpu_info()
if HZ_ACTUAL_RAW in self.info:
self._state = round(
float(self.info[HZ_ACTUAL_RAW][0]) / 10 ** 9, 2
)
else:
self._state = None
def nextRun( self ):
'''
Decide which run should take place next.
Return a (#workers,#battles,run #) tuple.
'''
# See which combinations have the fewest runs.
# If there are some, choose one of those at random.
# Otherwise, choose a possible combination at random.
this_cpu = cpuinfo.get_cpu_info()['brand']
max_cpu = int(cpuinfo.get_cpu_info()['count'] * 1.5)
comb = tuple(itertools.product(range(1,max_cpu+1),
range(1,self.mmax+1)))
already_run = { '{0:04d}_{1:04d}'.format(w,m):0 for w,m in comb }
#print(str(already_run))
for record in self.conn.execute('''
SELECT Workers,BattleMultiplier,COUNT(RunID)
FROM Runs
WHERE CPUInfo=?
GROUP BY Workers,BattleMultiplier
''',[this_cpu]):
#print('{0}'.format({ k:record[k] for k in record.keys()}))
already_run['{0:04d}_{1:04d}'.format(
record['Workers'],record['BattleMultiplier'])] = \
record['COUNT(RunID)']
#print(str(already_run))
fewest_runs = min(already_run.values())
if fewest_runs == self.desired_runs:
raise StopIteration()
need_run = tuple(filter(lambda k: already_run[k] == fewest_runs, already_run.keys()))
# Choose a random scenario with fewer runs.
if len(need_run) > 0:
c = random.choice(need_run)
return tuple(map(int,re.split(r'_',c))) + (fewest_runs+1,)
def __init__(self, model, dataset, parameters):
info = cpuinfo.get_cpu_info()
self.model = model
self.dataset = dataset
self.parameters = json.dumps(parameters)
self.machine = json.dumps({'node': platform.node(), 'hostname': socket.gethostname(), 'cpu': info})
self.start = timeit.default_timer()
self.experimentId = uuid.uuid4()
rollbar.report_message('Starting', 'info', None, extra_data=self.extra_data())
self.io = MySQL()
def get_sys_conf(map):
info = cpuinfo.get_cpu_info()
#pprint.pprint(info)
map['SYS_hz_actual'] = info['hz_actual']
map['SYS_raw_arch_string'] = info['raw_arch_string']
map['SYS_l2_cache_size'] = info['l2_cache_size']
map['SYS_brand'] = info['brand']
map['SYS_cpu_count'] = info['count']
meminfo = psutil.virtual_memory()
#pprint.pprint(meminfo)
map['SYS_total_mem'] = float(meminfo[0])
map['SYS_percent_free'] = meminfo[2]
def run_job(queue, job):
# multiprocessing: don't capture ctrl+c
signal.signal(signal.SIGINT, signal.SIG_IGN)
output_file = tempfile.NamedTemporaryFile(bufsize=8, delete=False)
output_file.write("experiment: %s\n" % " ".join(sys.argv))
output_file.write("start: %s\n" % datetime.datetime.now())
output_file.write("cpu: %s\n" % cpuinfo.get_cpu_info()['brand'])
if sys.platform.startswith("linux"):
output_file.write("affinity: %s\n" % psutil.Process().cpu_affinity())
output_file.write("\n")
output_file.write("cmd: %s\n" % " ".join(job.command))
output_file.write("\n")
output_file.flush()
queue.put(("start", job, output_file.name))
t = time.time()
proc = subprocess.Popen(job.command, stderr=subprocess.STDOUT,
stdout=output_file)
timed_out = False
try:
out, err = proc.communicate(timeout=job.timeout)
t = time.time() - t
except subprocess.TimeoutExpired:
parent = psutil.Process(proc.pid)
for c in parent.children(recursive=True):
try:
c.kill()
except:
pass
try:
proc.kill()
except:
pass
out, err = proc.communicate()
t = job.timeout
timed_out = True
f = open(output_file.name)
out = f.read()
f.close()
output_file.close()
queue.put(("end", job, t, timed_out, out))
def commitRun( self, run_data ):
'''
Save the run data into the database.
'''
cpu_info = cpuinfo.get_cpu_info()
result = self.conn.execute('''
INSERT INTO Runs
(CPUInfo,CPUCount,Hostname,Workers,BattleMultiplier,
RunStarted,RunFinished,DBFile)
VALUES
(?,?,?,?,?,?,?,?)
''',[ cpu_info['brand'], cpu_info['count'], socket.gethostname(),
run_data['Workers'], run_data['BattleMultiplier'],
run_data['RunStarted'], run_data['RunFinished'],
run_data['DBFile'],
])
def generate_makefile(self, writer, compiler, native, compiler_flags, linker_flags, nb_threads):
if compiler=='msvc':
if native:
arch_flag = ''
try:
from cpuinfo import cpuinfo
res = cpuinfo.get_cpu_info()
if 'sse' in res['flags']:
arch_flag = '/arch:SSE'
if 'sse2' in res['flags']:
arch_flag = '/arch:SSE2'
except ImportError:
logger.warn('Native flag for MSVC compiler requires installation of the py-cpuinfo module')
compiler_flags += ' '+arch_flag
if nb_threads>1:
openmp_flag = '/openmp'
else:
openmp_flag = ''
# Generate the visual studio makefile
source_bases = [fname.replace('.cpp', '').replace('/', '\\') for fname in writer.source_files]
win_makefile_tmp = CPPStandaloneCodeObject.templater.win_makefile(
None, None,
source_bases=source_bases,
compiler_flags=compiler_flags,
linker_flags=linker_flags,
openmp_flag=openmp_flag,
)
writer.write('win_makefile', win_makefile_tmp)
else:
# Generate the makefile
if os.name=='nt':
rm_cmd = 'del *.o /s\n\tdel main.exe $(DEPS)'
else:
rm_cmd = 'rm $(OBJS) $(PROGRAM) $(DEPS)'
makefile_tmp = CPPStandaloneCodeObject.templater.makefile(None, None,
source_files=' '.join(writer.source_files),
header_files=' '.join(writer.header_files),
compiler_flags=compiler_flags,
linker_flags=linker_flags,
rm_cmd=rm_cmd)
writer.write('makefile', makefile_tmp)
def post_process_perf_results(settings, results_location, workitem_dir):
# Use the xunit perf analysis exe from nuget package here
log.info('Converting xml to csv')
payload_dir = fix_path(os.getenv('HELIX_CORRELATION_PAYLOAD'))
perf_analysis_version = (next(os.walk(os.path.join(payload_dir, 'Microsoft.DotNet.xunit.performance.analysis')))[1])[0]
xmlconvertorpath = os.path.join(*[payload_dir, 'Microsoft.DotNet.xunit.performance.analysis', perf_analysis_version, 'tools', 'xunit.performance.analysis.exe'])
xmlCmd = xmlconvertorpath+' -csv '+os.path.join(workitem_dir, 'results.csv')+' '+results_location
if (helix.proc.run_and_log_output(xmlCmd.split(' '))) != 0:
raise Exception('Failed to generate csv from result xml')
log.info('Uploading the results.csv file')
_write_output_path(os.path.join(workitem_dir, 'results.csv'), settings)
perfscriptsdir = os.path.join(*[payload_dir, 'RunnerScripts', 'xunitrunner-perf'])
perfsettingsjson = ''
with open(os.path.join(perfscriptsdir, 'xunitrunner-perf.json'), 'rb') as perfsettingsjson:
# read the perf-specific settings
perfsettingsjson = json.loads(perfsettingsjson.read())
# need to extract more properties from settings to pass to csvtojsonconvertor.py
jsonFileName = perfsettingsjson['TestProduct']+'-'+settings.workitem_id+'.json'
jsonPath = os.path.join(workitem_dir, jsonFileName)
jsonArgsDict = dict()
jsonArgsDict['--csvFile'] = os.path.join(workitem_dir, 'results.csv')
jsonArgsDict['--jsonFile'] = jsonPath
jsonArgsDict['--jobName'] = settings.correlation_id
jsonArgsDict['--jobDescription'] = '...'
jsonArgsDict['--configName'] = perfsettingsjson['TargetQueue']
jsonArgsDict['--jobGroupName'] = perfsettingsjson['Creator']+'-'+perfsettingsjson['TestProduct']+'-'+perfsettingsjson['Branch']+'-Perf'
jsonArgsDict['--jobTypeName'] = 'Private'
jsonArgsDict['--username'] = perfsettingsjson['Creator']
jsonArgsDict['--userAlias'] = perfsettingsjson['Creator']
jsonArgsDict['--branch'] = perfsettingsjson['TestProduct']
jsonArgsDict['--buildInfoName'] = perfsettingsjson['BuildMoniker']
# extract build number from buildmoniker if official build
buildtokens = perfsettingsjson['BuildMoniker'].split('-')
if len(buildtokens) < 3:
jsonArgsDict['--buildNumber'] = perfsettingsjson['BuildMoniker']
else:
jsonArgsDict['--buildNumber'] = buildtokens[-2] +'.'+buildtokens[-1]
jsonArgsDict['--machinepoolName'] = perfsettingsjson['TargetQueue']
jsonArgsDict['--machinepoolDescription'] = '...'
jsonArgsDict['--microarchName'] = 'SSE2' # cannot be obtained by cpu-info; need to figure out some other way
jsonArgsDict['--numberOfCores'] = psutil.cpu_count(logical=False)
jsonArgsDict['--numberOfLogicalProcessors'] = psutil.cpu_count(logical=True)
# psutil returns mem in bytes, convert it to MB for readability
jsonArgsDict['--totalPhysicalMemory'] = psutil.virtual_memory().total/1024
jsonArgsDict['--osInfoName'] = platform.system()
jsonArgsDict['--osVersion'] = platform.version()
jsonArgsDict['--machineName'] = platform.node()
info = cpuinfo.get_cpu_info()
jsonArgsDict['--architectureName'] = format(info['arch'])
jsonArgsDict['--machineDescription'] = format(info['brand'])
jsonArgsDict['--manufacturerName'] = format(info['vendor_id'])
jsonArgs = [sys.executable, os.path.join(perfscriptsdir, 'csvjsonconvertor.py')]
for key, value in jsonArgsDict.iteritems():
jsonArgs.append(key)
jsonArgs.append(str(value))
if (helix.proc.run_and_log_output(jsonArgs)) != 0:
raise Exception('Failed to generate json from csv file')
# set info to upload result to perf-specific json container
log.info('Uploading the results json')
perfsettings = copy.deepcopy(settings)
perfsettings.output_uri = perfsettingsjson['RootURI']
perfsettings.output_write_token = perfsettingsjson['WriteToken']
perfsettings.output_read_token = perfsettingsjson['ReadToken']
jsonPath = str(jsonPath)
# Upload json with rest of the results
_write_output_path(jsonPath, settings)
# Upload json to the perf specific container
_write_output_path(jsonPath, perfsettings)
# coding: UTF-8
from statistics import mean
from typing import Iterable
from itertools import islice
from cpuinfo import cpuinfo
from ..utils.machine_type import MachineChecker, NodeType
NODE_TYPE = MachineChecker.get_node_type()
# LLC_SIZE = int(cpuinfo.get_cpu_info()['l3_cache_size'].split()[0]) * 1024 # Xeon Server (BC5) LLC (L3 Cache)
if NODE_TYPE == NodeType.IntegratedGPU:
LLC_SIZE = int(cpuinfo.get_cpu_info()['l2_cache_size'].split()
[0]) * 1024 # JETSON TX2 LLC (L2Cache)
elif NODE_TYPE == NodeType.CPU:
LLC_SIZE = int(cpuinfo.get_cpu_info()['l3_cache_size'].split()
[0]) * 1024 # Desktop (SDC) LLC (L3Cache)
class BasicMetric:
def __init__(self, llc_references, llc_misses, inst, cycles, gpu_core_util,
gpu_core_freq, gpu_emc_util, gpu_emc_freq, interval):
self._llc_references = llc_references
self._llc_misses = llc_misses
self._instructions = inst
self._cycles = cycles
self._gpu_core_util = gpu_core_util
self._gpu_core_freq = gpu_core_freq
self._gpu_emc_util = gpu_emc_util
self._gpu_emc_freq = gpu_emc_freq
def __init__(self, info=None):
"""Loads cpu info from localhost"""
from cpuinfo import cpuinfo
self.info = info if info else cpuinfo.get_cpu_info()
self.cpuId = self._loadId()
self.advertisedHz = self._loadAdvertisedHz()
def main(self, args):
import aetros.const
parser = argparse.ArgumentParser(
formatter_class=argparse.RawTextHelpFormatter,
prog=aetros.const.__prog__ + ' run')
parser.add_argument(
'command',
nargs='?',
help="The command to run. Default read in configuration file")
parser.add_argument(
'-i',
'--image',
help=
"Which Docker image to use for the command. Default read in configuration file. If not specified, command is executed on the host."
)
parser.add_argument(
'--no-image',
action='store_true',
help=
"Forces not to use docker, even when image is defined in the configuration file."
)
parser.add_argument(
'-s',
'--server',
action='append',
help=
"Limits the server pool to this server. Default not limitation or read in configuration file. Multiple --server allowed."
)
parser.add_argument(
'-m',
'--model',
help=
"Under which model this job should be listed. Default read in configuration file"
)
parser.add_argument(
'-l',
'--local',
action='store_true',
help="Start the job immediately on the current machine.")
parser.add_argument(
'-c',
'--config',
help="Default aetros.yml in current working directory.")
parser.add_argument(
'--priority',
help="Increases or decreases priority. Default is 0.")
parser.add_argument(
'--cpu',
help="How many CPU cores should be assigned to job. Docker only.")
parser.add_argument(
'--memory',
help="How much memory should be assigned to job. Docker only.")
parser.add_argument(
'--gpu',
help="How many GPU cards should be assigned to job. Docker only.")
parser.add_argument(
'--gpu_memory',
help="Memory requirement for the GPU. Docker only.")
parser.add_argument(
'--offline',
'-o',
action='store_true',
help="Whether the execution should happen offline.")
parser.add_argument(
'--rebuild-image',
action='store_true',
help="Makes sure the Docker image is re-built without cache.")
parser.add_argument(
'--max-time',
help=
"Limit execution time in seconds. Sends SIGINT to the process group when reached."
)
parser.add_argument(
'--max-epochs',
help=
"Limit execution epochs. Sends SIGINT to the process group when reached."
)
parser.add_argument(
'--gpu-device',
action='append',
help=
"Which device id should be mapped into the NVIDIA docker container. Only when --local"
)
parser.add_argument('--volume',
'-v',
action='append',
help="Volume into docker. Only when --local")
parser.add_argument(
'-e',
action='append',
help=
"Sets additional environment variables. '-e name=value' to set value, or '-e name' to read from current env"
)
parser.add_argument(
'-p',
'--param',
action='append',
help=
"Sets a hyperparameter, example '--param name=value'. Multiple --param allowed."
)
parsed_args = parser.parse_args(args)
if parsed_args.config and not os.path.exists(parsed_args.config):
self.logger.error("fatal: file %s does not exist." %
(parsed_args.config, ))
sys.exit(2)
config = find_config(parsed_args.config)
home_config = read_home_config()
if config['model'] and not parsed_args.model:
parsed_args.model = config['model']
if not parsed_args.model:
print(
"fatal: no model defined. Use --model or switch into a directory where you executed 'aetros init model-name'."
)
sys.exit(2)
if not parsed_args.local and parsed_args.volume:
print(
"fatal: can not use volume with jobs on the cluster. Use datasets instead."
)
sys.exit(1)
if parsed_args.local and parsed_args.priority:
print(
"fatal: the priority can only be set for jobs in the cluster.")
sys.exit(1)
if config['image']:
ensure_docker_installed(self.logger)
env = {}
if parsed_args.e:
for item in parsed_args.e:
if '=' in item:
k, v = item.split('=')
else:
k = item
v = os.getenv(k)
env[k] = v
if ('command' not in config
or not config['command']) and not parsed_args.command:
self.logger.error(
'No command given. Define the command in aetros.yml or use command argument.'
)
sys.exit(1)
job_backend = JobBackend(parsed_args.model, self.logger)
ignore = []
if 'ignore' in config:
ignore = config['ignore']
job_backend.job = {'config': {'ignore': ignore}}
adding_files = loading_text("- Adding job files to index ... ")
files_added, size_added = job_backend.add_files(config['root'],
report=False)
adding_files("done with %d file%s added (%s)." %
(files_added, 's' if files_added != 1 else '',
human_size(size_added, 2)))
create_info = {'type': 'custom', 'config': config}
incoming_hyperparameter = {}
if parsed_args.param:
for param in parsed_args.param:
if '=' not in param:
raise Exception(
'--param ' + param +
' does not contain a `=`. Please use "--param name=value"'
)
name, value = param.split('=')
incoming_hyperparameter[name] = value
# first transform simple format in the full definition with parameter types
# (string, number, group, choice_group, etc)
full_hyperparameters = lose_parameters_to_full(config['parameters'])
# now extract hyperparameters from full definition, and overwrite stuff using
# incoming_hyperparameter if available
hyperparameter = extract_parameters(full_hyperparameters,
incoming_hyperparameter)
create_info['config']['parameters'] = hyperparameter
if parsed_args.rebuild_image:
create_info['config']['rebuild_image'] = True
if parsed_args.max_epochs:
create_info['config']['maxEpochs'] = int(parsed_args.max_epochs)
create_info['config']['priority'] = 0
if parsed_args.priority:
create_info['config']['priority'] = float(parsed_args.priority)
if parsed_args.max_time:
create_info['config']['maxTime'] = float(parsed_args.max_time)
if parsed_args.command:
create_info['config']['command'] = parsed_args.command
if parsed_args.image:
# reset install options, since we can't make sure if the base image still fits
if 'image' in config and config[
'image'] and config['image'] != parsed_args.image:
create_info['config']['install'] = None
# reset dockerfile, since we specified manually an image
create_info['config']['dockerfile'] = None
create_info['config']['image'] = parsed_args.image
if parsed_args.no_image:
create_info['config']['image'] = None
if parsed_args.server:
create_info['config']['servers'] = []
for name in parsed_args.server:
create_info['config']['servers'].append(name)
create_info['config']['resources'] = create_info['config'].get(
'resources', {})
resources = create_info['config']['resources']
default_cpu_and_memory = 1 if create_info['config']['image'] else 0
resources['cpu'] = int(parsed_args.cpu
or resources.get('cpu', default_cpu_and_memory))
resources['memory'] = int(
parsed_args.memory
or resources.get('memory', default_cpu_and_memory))
resources['gpu'] = int(parsed_args.gpu or resources.get('gpu', 0))
resources['gpu_memory'] = int(parsed_args.gpu_memory
or resources.get('gpu_memory', 0))
if parsed_args.local:
create_info['server'] = 'local'
# make sure we do not limit the resources to something that is not available on the local machine
warning = []
cpu = cpuinfo.get_cpu_info()
mem = psutil.virtual_memory().total
gpu = 0
try:
gpu = len(get_ordered_devices())
except CudaNotImplementedException:
pass
if not create_info['config']['image'] and not all(
[x == 0 for x in six.itervalues(resources)]):
self.logger.warning(
"! No Docker virtualization since no `image` defined, resources limitation ignored."
)
if create_info['config']['image'] and resources['gpu'] > 0:
if not (sys.platform == "linux" or sys.platform == "linux2"):
self.logger.warning(
"! Your operating system does not support GPU allocation for "
"Docker virtualization. "
"NVIDIA-Docker2 is only supported on Linux.")
local_max_resources = {
'cpu': cpu['count'],
'memory': ceil(mem / 1024 / 1024 / 1024),
'gpu': gpu
}
if create_info['config']['image']:
# read max hardware within Docker
out = docker_call([
'run', 'alpine', 'sh', '-c',
'nproc && cat /proc/meminfo | grep MemTotal'
])
cpus, memory = out.decode('utf-8').strip().split('\n')
local_max_resources['cpu'] = int(cpus)
memory = memory.replace('MemTotal:', '').replace('kB',
'').strip()
local_max_resources['memory'] = ceil(int(memory) / 1024 / 1024)
if local_max_resources['cpu'] < resources['cpu']:
warning.append('CPU cores %d -> %d' %
(resources['cpu'], local_max_resources['cpu']))
resources['cpu'] = local_max_resources['cpu']
if local_max_resources['memory'] < resources['memory']:
warning.append(
'memory %dGB -> %dGB' %
(resources['memory'], local_max_resources['memory']))
resources['memory'] = local_max_resources['memory']
if local_max_resources['gpu'] < resources['gpu']:
warning.append('GPU cards %d -> %d' %
(resources['gpu'], local_max_resources['gpu']))
resources['gpu'] = local_max_resources['gpu']
if warning:
self.logger.warning(
"! Resources downgrade due to missing hardware: %s." %
(', '.join(warning), ))
if parsed_args.config and not create_info['config']['configPath']:
create_info['config']['configPath'] = parsed_args.config
create_info['config']['sourcesAttached'] = True
creating_git_job = loading_text("- Create job in local Git ... ")
if aetros.utils.git.get_current_commit_hash():
create_info['origin_git_source'] = {
'origin': aetros.utils.git.get_current_remote_url(),
'author': aetros.utils.git.get_current_commit_author(),
'message': aetros.utils.git.get_current_commit_message(),
'branch': aetros.utils.git.get_current_branch(),
'commit': aetros.utils.git.get_current_commit_hash(),
}
job_backend.create(create_info=create_info, server=None)
creating_git_job("created %s in %s." %
(job_backend.job_id[0:9], job_backend.model_name))
summary = "➤ Summary: Job running "
if parsed_args.local:
summary += 'locally'
else:
summary += 'on the cluster'
if create_info['config']['image']:
summary += ' in Docker using image %s with %d CPU cores, %dGB memory and %d GPUs.' \
% (create_info['config']['image'], resources['cpu'], resources['memory'], resources['gpu'])
else:
summary += ' on host using all available resources.'
print(summary)
# tasks = []
#
# if 'tasks' in config:
# for name, task_config in six.iteritems(config['tasks']):
# replica = 1
# if 'replica' in task_config:
# replica = int(task_config['replica'])
# for index in range(0, replica):
# tasks.append(job_backend.create_task(job_id, task_config, name, index))
if parsed_args.offline:
if not parsed_args.local:
self.logger.warning(
"Can not create a remote job in offline mode.")
sys.exit(1)
self.logger.warning("Execution started offline.")
else:
adding_files = loading_text("- Connecting to " +
home_config['host'] + " ... ")
if job_backend.connect():
adding_files("connected.")
else:
parsed_args.offline = True
adding_files("failed. Continue in offline mode.")
if not parsed_args.offline:
sys.stdout.write("- Uploading job data ... ")
job_backend.git.push()
job_backend.client.wait_until_queue_empty(['files'],
clear_end=False)
sys.stdout.write(" done.\n")
link = "%s/model/%s/job/%s" % (
home_config['url'], job_backend.model_name, job_backend.job_id)
sys.__stdout__.write(u"➤ Monitor job at %s\n" % (link))
if parsed_args.local:
job_backend.start(collect_system=False,
offline=parsed_args.offline,
push=False)
if not parsed_args.offline:
job_backend.git.start_push_sync()
cpus = create_info['config']['resources']['cpu']
memory = create_info['config']['resources']['memory']
if not parsed_args.gpu_device and create_info['config'][
'resources']['gpu'] > 0:
# if requested 2 GPUs and we have 3 GPUs with id [0,1,2], gpus should be [0,1]
parsed_args.gpu_device = []
for i in range(0, create_info['config']['resources']['gpu']):
parsed_args.gpu_device.append(i)
start_command(self.logger,
job_backend,
env,
parsed_args.volume,
cpus=cpus,
memory=memory,
gpu_devices=parsed_args.gpu_device,
offline=parsed_args.offline)
def samArch():
cpu=cpuinfo.get_cpu_info()['brand'].split()[3:5]
if(cpu[0] == "E5-2620" and cpu[1] == "v3"):
return "haswell"
def execute_jobs(jobs, threads, job_name, output_dir, plot_file, args):
# set up the cache
cache_dir = os.path.join(output_dir, "cache")
if not os.path.exists(cache_dir):
os.mkdir(cache_dir)
# find things in the cache if we're allowed
cached = []
if not args.force:
for job in jobs[:]:
key = cache_key(job)
path = os.path.join(cache_dir, key + ".json")
if os.path.exists(path):
cached.append((job, path))
jobs.remove(job)
if args.dry_run:
if cached:
print "in cache:"
for i, (job, path) in enumerate(cached):
print " %d: %s (%s)" % (i, " ".join(
job.command), cache_key(job))
if jobs:
print ""
if jobs:
print "to run:"
for i, job in enumerate(jobs):
print " %d: %s" % (i, " ".join(job.command))
sys.exit(0)
# do we have enough actual threads to run every remaining job?
if threads == -1:
threads = psutil.cpu_count()
else:
threads = min(psutil.cpu_count(), threads)
needed_threads = max([0] + [job.threads for job in jobs])
if needed_threads > threads:
raise Exception("not enough threads: need %d, have %d" %
(needed_threads, threads))
# compile benchmark runner if necessary
if jobs:
compile_runner()
# output files
data_file = open(os.path.join(output_dir, "%s.out.csv" % job_name), "w")
output_file = open(os.path.join(output_dir, "%s.out.txt" % job_name), "w")
output_file.write("experiment: %s\n" % " ".join(sys.argv))
output_file.write("start: %s\n" % datetime.datetime.now())
output_file.write("cpu: %s\n" % cpuinfo.get_cpu_info()['brand'])
header_printed = False
def on_job_complete(job, t, timed_out, out):
# write to data file
if not header_printed:
keys = sorted(job.ident) + ["time", "timeout"]
data_file.write(",".join("\"%s\"" % k for k in keys) + "\n")
for k in sorted(job.ident):
data_file.write("\"%s\"," % job.ident[k])
data_file.write("%.3f,%s\n" % (t, timed_out))
data_file.flush()
# write to output file
output_file.write("*** %s\n" % job.ident)
output_file.write(out.encode('utf8', 'replace'))
output_file.write("*** %s\n" %
("timeout (%s)" % t if timed_out else t))
output_file.flush()
# first process all results that are cached
for job, path in cached:
with open(path) as f:
data = json.load(f)
cmd = " ".join(job.command)
print "cached: %s\n (%s)" % (cmd, cache_key(job))
on_job_complete(job, data["time"], data["timed_out"], data["out"])
header_printed = True
total_jobs = len(jobs)
running_jobs = {}
threads_used = 0
cpus = range(psutil.cpu_count())
queue = multiprocessing.Queue()
# schedule jobs in descending order of threads so we can use smaller jobs to
# fill gaps
jobs = sorted(jobs, key=lambda j: j.threads, reverse=True)
# spawn jobs that use at most a given number of threads on the given cpus
def launch_more_jobs(threads, cpus):
threads_used = 0
cpus_available = cpus
for job in jobs[:]:
if threads_used + job.threads <= threads:
my_cpus = cpus_available[:job.threads]
cpus_available = cpus_available[job.threads:]
p = multiprocessing.Process(target=run_job, args=(queue, job))
p.start()
if sys.platform.startswith("linux"):
pp = psutil.Process(p.pid)
pp.cpu_affinity(my_cpus)
running_jobs[job.id] = (p, my_cpus)
threads_used += job.threads
jobs.remove(job)
if args.sequential:
break
return threads_used, cpus_available
# spawn initial threads
threads_used, cpus = launch_more_jobs(threads, cpus)
while running_jobs:
evt = queue.get()
if evt[0] == "start":
start, job, output_name = evt
cmd = " ".join(job.command)
status = "[%d jobs: %d complete, %d running, %d remaining]" % (
total_jobs, total_jobs - len(running_jobs) - len(jobs),
len(running_jobs), len(jobs))
print "starting: %s\n --> %s\n %s" % (cmd, output_name, status)
elif evt[0] == "end":
end, job, t, timed_out, out = evt
# write to data file
on_job_complete(job, t, timed_out, out)
header_printed = True
# write to cache
key = cache_key(job)
path = os.path.join(cache_dir, key + ".json")
with open(path, "w") as f:
json.dump(
{
"command": job.command,
"time": t,
"timed_out": timed_out,
"out": out
},
f,
indent=2)
p, c = running_jobs[job.id]
p.join()
del running_jobs[job.id]
threads_used -= job.threads
cpus = sorted(cpus + c)
status = "[%d jobs: %d complete, %d running, %d remaining]" % (
total_jobs, total_jobs - len(running_jobs) - len(jobs),
len(running_jobs), len(jobs))
print "finished: %s\n %s" % (" ".join(job.command), status)
t, c = launch_more_jobs(threads - threads_used, cpus)
threads_used += t
cpus = c
output_file.close()
data_file.close()
if plot_file and not args.no_post_process:
path = os.path.join(os.getcwd(), "experiments/plots/" + plot_file)
if not os.path.exists(path):
print "plot file not found: %s" % plot_file
else:
print "running post-process file %s..." % plot_file
subprocess.check_call(["python", path, job_name],
cwd=output_dir,
stderr=subprocess.STDOUT)
import distro
#Colors! Use the ANCI codes found here https://github.com/dslackw/colored
FontColor = 166
AtColor = 15
TitleColor = 15
#ubuntu
DarkColor = 1
MedColor = 166
LightColor = 11
#You shouldn't need to touch anything bellow here!
cpu = cpuinfo.get_cpu_info()
RAM = psutil.virtual_memory()
Disk = psutil.disk_usage('/')
DiskTotal = round(Disk[0] / 1000000000, 2)
DiskTaken = round(Disk[1] / 1000000000, 2)
DiskFree = round(Disk[2] / 1000000000, 2)
DiskPercent = Disk[3]
RamTotal = round(RAM[0] / 1000000000, 2)
RamTaken = round(RAM[5] / 1000000000, 2)
RamFree = round(RAM[1] / 1000000000, 2)
RamPercent = RAM[2]
def __init__(self, lxd):
self.lxd = lxd
self.host_cpu_info = cpuinfo.get_cpu_info()
def send_config(config_file):
'''
Sends the registration of this machine to the OpenSubmit web server.
'''
config = read_config(config_file)
conf = platform.uname()
output = []
output.append(["Operating system","%s %s %s (%s)"%(conf[0], conf[2], conf[3], conf[4])])
try:
from cpuinfo import cpuinfo
cpu=cpuinfo.get_cpu_info()
conf="%s, %s, %s Family %d Model %d Stepping %d #%d" % (cpu["brand"],cpu["vendor_id"],cpu["arch"],cpu['family'],cpu['model'],cpu['stepping'],cpu["count"])
except:
conf=platform.processor() #may be empty on Linux because of partial implemtation in platform
output.append(["CPUID information", conf])
if platform_sys == "Windows":
conf = _infos_cmd("cl.exe|@echo off","") #force returncode 0
conf = conf.split("\n")[0] #extract version info
else:
conf = _infos_cmd("cc -v")
try: #read keys and values from JSON file
import simplejson
with open('environment.json','rb') as f:
environ_vars = simplejson.loads(f.read())
output.append(["CC information", conf ])
for k,v in environ_vars.iteritems():
output.append([k,_infos_cmd(v)])
output.append(["OpenCL Details", _infos_opencl()])
except Exception as e:
logger.error("ERROR Collecting environment information (%s)" % (str(e)))
return False
#separate distro and custom environment values for reliability
try:
import simplejson
custom_vars_file = config.get("Execution","custom_variables")
print "Using custom variables from %s" % (custom_vars_file)
with open(custom_vars_file,'rb') as f:
custom_vars = simplejson.loads(f.read())
for k,v in custom_vars.iteritems():
output.append([k + " information", _infos_cmd(v)])
except Exception as e:
logger.error("ERROR loading custom variables (%s)" % (str(e)))
pass
try:
logger.debug("Sending config data: "+str(output))
post_data = [ ("Config",json.dumps(output)),
("UUID",config.get("Server","uuid")),
("Address",_infos_host()),
("Secret",config.get("Server","secret"))
]
post_data = urlencode(post_data)
post_data = post_data.encode("utf-8",errors="ignore")
urlopen("%s/machines/"% config.get("Server","url"), post_data)
except Exception as e:
logger.error("ERROR Could not contact OpenSubmit web server at %s (%s)" % (config.get("Server","url"), str(e)))
async def async_get_config_entry_diagnostics(
hass: HomeAssistant, entry: ConfigEntry) -> dict[str, Any]:
"""Return diagnostics for a config entry."""
info: dict[str, Any] = cpuinfo.get_cpu_info()
return info
def generate_json(opts, csvdicts):
perfsettingsjson = ''
with open(os.path.join(opts['--perfSettingsJson'])) as perfsettingsjson:
# read the perf-specific settings
perfsettingsjson = json.loads(perfsettingsjson.read())
jsonFilePath = opts['--jsonFile']
log.info('Attempting to generate ' + jsonFilePath)
rootTests = list()
info = cpuinfo.get_cpu_info()
for metric, currdict in csvdicts.iteritems():
# recursively build nodes from the csvdict
rootTest = generate_test_object(
currdict, perfsettingsjson['TestProduct'] + ' Perf Test Results',
info, metric)
rootTests.append(rootTest)
# populate the root level meta info
run = serialobj.Run()
run.testList = rootTests
machinepool = serialobj.MachinePool()
architecture = serialobj.Architecture()
architecture.architectureName = format(info['arch'])
machinepool.architecture = architecture
manufacturer = serialobj.Manufacturer()
manufacturer.manufacturerName = format(info['vendor_id'])
machinepool.manufacturer = manufacturer
microarch = serialobj.MicroArch()
microarch.microarchName = 'SSE2' # cannot be obtained by cpu-info; need to figure out some other way
osInfo = serialobj.OSInfo()
osInfo.osInfoName = platform.system()
osInfo.osVersion = platform.version()
machinepool.osInfo = osInfo
machinepool.microarch = microarch
machinepool.NumberOfCores = psutil.cpu_count(logical=False)
machinepool.NumberOfLogicalProcessors = psutil.cpu_count(logical=True)
machinepool.TotalPhysicalMemory = psutil.virtual_memory().total / 1024
machinepool.machinepoolName = perfsettingsjson['TargetQueue']
machinepool.machinepoolDescription = '...'
run.machinepool = machinepool
config = serialobj.Config()
config.configName = perfsettingsjson['TargetQueue']
run.config = config
runs = list()
runs.append(run)
job = serialobj.Job()
job.Runs = runs
user = serialobj.User()
user.userName = perfsettingsjson['Creator']
user.userAlias = perfsettingsjson['Creator']
job.user = user
# extract build number from buildmoniker if official build
buildtokens = perfsettingsjson['BuildMoniker'].split('-')
if len(buildtokens) < 3:
buildNumber = perfsettingsjson['BuildMoniker']
else:
buildNumber = buildtokens[-2] + '.' + buildtokens[-1]
buildInfo = serialobj.BuildInfo()
buildInfo.buildInfoName = perfsettingsjson['BuildMoniker']
buildInfo.buildNumber = buildNumber
buildInfo.branch = perfsettingsjson['TestProduct']
job.buildInfo = buildInfo
jobType = serialobj.JobType()
jobType.jobTypeName = 'Private'
job.jobType = jobType
jobGroup = serialobj.JobGroup()
jobGroup.jobGroupName = perfsettingsjson[
'Creator'] + '-' + perfsettingsjson[
'TestProduct'] + '-' + perfsettingsjson['Branch'] + '-Perf'
job.jobGroup = jobGroup
job.jobDescription = '...'
job.jobName = opts['--jobName']
root = serialobj.Root()
root.job = job
jsonOutput = serialobj.JsonOutput()
jsonOutput.roots.append(root)
with open(jsonFilePath, 'w+') as opfile:
opfile.write(jsonOutput.to_JSON())
opfile.flush()
opfile.close()
log.info('Conversion of csv to json successful')
def getCPU(self):
info = cpuinfo.get_cpu_info()
return PREFIX + "[CPU] " + SUFFIX + info['brand'] + ";"
def getCpuInfo(): """Loads cpu info for localhost""" from cpuinfo import cpuinfo fullCpuInfo = cpuinfo.get_cpu_info() return fullCpuInfo
def __init__(self):
info = cpuinfo.get_cpu_info()
self.name = info["brand"]
self.num_proccess = psutil.cpu_count()
self.utilization = self.utilization_update()
def update(self):
"""Get the latest data and updates the state."""
from cpuinfo import cpuinfo
self.info = cpuinfo.get_cpu_info()
self._state = round(float(self.info['hz_actual_raw'][0])/10**9, 2)
def execute_jobs(jobs, threads, job_name, output_dir, plot_file, args):
# set up the cache
cache_dir = os.path.join(output_dir, "cache")
if not os.path.exists(cache_dir):
os.mkdir(cache_dir)
# find things in the cache if we're allowed
cached = []
if not args.force:
for job in jobs[:]:
key = cache_key(job)
path = os.path.join(cache_dir, key + ".json")
if os.path.exists(path):
cached.append((job, path))
jobs.remove(job)
if args.dry_run:
if cached:
print "in cache:"
for i, (job, path) in enumerate(cached):
print " %d: %s (%s)" % (i, " ".join(job.command),
cache_key(job))
if jobs:
print ""
if jobs:
print "to run:"
for i, job in enumerate(jobs):
print " %d: %s" % (i, " ".join(job.command))
sys.exit(0)
# do we have enough actual threads to run every remaining job?
if threads == -1:
threads = psutil.cpu_count()
else:
threads = min(psutil.cpu_count(), threads)
needed_threads = max([0] + [job.threads for job in jobs])
if needed_threads > threads:
raise Exception("not enough threads: need %d, have %d" % (
needed_threads, threads))
# compile benchmark runner if necessary
if jobs:
compile_runner()
# output files
data_file = open(os.path.join(output_dir, "%s.out.csv" % job_name), "w")
output_file = open(os.path.join(output_dir, "%s.out.txt" % job_name), "w")
output_file.write("experiment: %s\n" % " ".join(sys.argv))
output_file.write("start: %s\n" % datetime.datetime.now())
output_file.write("cpu: %s\n" % cpuinfo.get_cpu_info()['brand'])
header_printed = False
def on_job_complete(job, t, timed_out, out):
# write to data file
if not header_printed:
keys = sorted(job.ident) + ["time", "timeout"]
data_file.write(",".join("\"%s\"" % k for k in keys) + "\n")
for k in sorted(job.ident):
data_file.write("\"%s\"," % job.ident[k])
data_file.write("%.3f,%s\n" % (t, timed_out))
data_file.flush()
# write to output file
output_file.write("*** %s\n" % job.ident)
output_file.write(out.encode('utf8', 'replace'))
output_file.write("*** %s\n" % (
"timeout (%s)" % t if timed_out else t))
output_file.flush()
# first process all results that are cached
for job, path in cached:
with open(path) as f:
data = json.load(f)
cmd = " ".join(job.command)
print "cached: %s\n (%s)" % (cmd, cache_key(job))
on_job_complete(job, data["time"], data["timed_out"], data["out"])
header_printed = True
total_jobs = len(jobs)
running_jobs = {}
threads_used = 0
cpus = range(psutil.cpu_count())
queue = multiprocessing.Queue()
# schedule jobs in descending order of threads so we can use smaller jobs to
# fill gaps
jobs = sorted(jobs, key=lambda j: j.threads, reverse=True)
# spawn jobs that use at most a given number of threads on the given cpus
def launch_more_jobs(threads, cpus):
threads_used = 0
cpus_available = cpus
for job in jobs[:]:
if threads_used + job.threads <= threads:
my_cpus = cpus_available[:job.threads]
cpus_available = cpus_available[job.threads:]
p = multiprocessing.Process(target=run_job, args=(queue, job))
p.start()
if sys.platform.startswith("linux"):
pp = psutil.Process(p.pid)
pp.cpu_affinity(my_cpus)
running_jobs[job.id] = (p, my_cpus)
threads_used += job.threads
jobs.remove(job)
if args.sequential:
break
return threads_used, cpus_available
# spawn initial threads
threads_used, cpus = launch_more_jobs(threads, cpus)
while running_jobs:
evt = queue.get()
if evt[0] == "start":
start, job, output_name = evt
cmd = " ".join(job.command)
status = "[%d jobs: %d complete, %d running, %d remaining]" % (
total_jobs, total_jobs - len(running_jobs) - len(jobs),
len(running_jobs), len(jobs))
print "starting: %s\n --> %s\n %s" % (cmd, output_name, status)
elif evt[0] == "end":
end, job, t, timed_out, out = evt
# write to data file
on_job_complete(job, t, timed_out, out)
header_printed = True
# write to cache
key = cache_key(job)
path = os.path.join(cache_dir, key + ".json")
with open(path, "w") as f:
json.dump({"command": job.command, "time": t,
"timed_out": timed_out, "out": out},
f, indent=2)
p, c = running_jobs[job.id]
p.join()
del running_jobs[job.id]
threads_used -= job.threads
cpus = sorted(cpus + c)
status = "[%d jobs: %d complete, %d running, %d remaining]" % (
total_jobs, total_jobs - len(running_jobs) - len(jobs),
len(running_jobs), len(jobs))
print "finished: %s\n %s" % (" ".join(job.command), status)
t, c = launch_more_jobs(threads - threads_used, cpus)
threads_used += t
cpus = c
output_file.close()
data_file.close()
if plot_file and not args.no_post_process:
path = os.path.join(os.getcwd(), "experiments/plots/" + plot_file)
if not os.path.exists(path):
print "plot file not found: %s" % plot_file
else:
print "running post-process file %s..." % plot_file
subprocess.check_call(["python", path, job_name], cwd=output_dir,
stderr=subprocess.STDOUT)
#Colors! Use the ANCI codes found here https://github.com/dslackw/colored
FontColor = 166
AtColor = 15
TitleColor = 15
#ubuntu
DarkColor = 1
MedColor = 166
LightColor = 11
#You shouldn't need to touch anything bellow here!
cpu = cpuinfo.get_cpu_info()
RAM = psutil.virtual_memory()
Disk = psutil.disk_usage('/')
DiskTotal = round(Disk[0] / 1000000000,2)
DiskTaken = round(Disk[1] / 1000000000,2)
DiskFree = round(Disk[2] / 1000000000,2)
DiskPercent = Disk[3]
RamTotal = round(RAM[0] / 1000000000,2)
RamTaken = round(RAM[5] / 1000000000,2)
RamFree = round(RAM[1] / 1000000000,2)
RamPercent = RAM[2]
def update(self):
"""Get the latest data and updates the state."""
from cpuinfo import cpuinfo
self.info = cpuinfo.get_cpu_info()
self._state = round(float(self.info['hz_actual_raw'][0]) / 10**9, 2)
def build(self, directory='output',
compile=True, run=True, debug=False, clean=True,
with_output=True, native=True,
additional_source_files=None, additional_header_files=None,
main_includes=None, run_includes=None,
run_args=None, **kwds):
'''
Build the project
TODO: more details
Parameters
----------
directory : str
The output directory to write the project to, any existing files will be overwritten.
compile : bool
Whether or not to attempt to compile the project
run : bool
Whether or not to attempt to run the built project if it successfully builds.
debug : bool
Whether to compile in debug mode.
with_output : bool
Whether or not to show the ``stdout`` of the built program when run.
native : bool
Whether or not to compile for the current machine's architecture (best for speed, but not portable)
clean : bool
Whether or not to clean the project before building
additional_source_files : list of str
A list of additional ``.cpp`` files to include in the build.
additional_header_files : list of str
A list of additional ``.h`` files to include in the build.
main_includes : list of str
A list of additional header files to include in ``main.cpp``.
run_includes : list of str
A list of additional header files to include in ``run.cpp``.
'''
renames = {'project_dir': 'directory',
'compile_project': 'compile',
'run_project': 'run'}
if len(kwds):
msg = ''
for kwd in kwds:
if kwd in renames:
msg += ("Keyword argument '%s' has been renamed to "
"'%s'. ") % (kwd, renames[kwd])
else:
msg += "Unknown keyword argument '%s'. " % kwd
raise TypeError(msg)
if additional_source_files is None:
additional_source_files = []
if additional_header_files is None:
additional_header_files = []
if main_includes is None:
main_includes = []
if run_includes is None:
run_includes = []
if run_args is None:
run_args = []
self.project_dir = directory
ensure_directory(directory)
compiler, extra_compile_args = get_compiler_and_args()
compiler_flags = ' '.join(extra_compile_args)
for d in ['code_objects', 'results', 'static_arrays']:
ensure_directory(os.path.join(directory, d))
writer = CPPWriter(directory)
# Get the number of threads if specified in an openmp context
nb_threads = prefs.devices.cpp_standalone.openmp_threads
# If the number is negative, we need to throw an error
if (nb_threads < 0):
raise ValueError('The number of OpenMP threads can not be negative !')
logger.debug("Writing C++ standalone project to directory "+os.path.normpath(directory))
if nb_threads > 0:
logger.warn("OpenMP code is not yet well tested, and may be inaccurate.", "openmp", once=True)
logger.debug("Using OpenMP with %d threads " % nb_threads)
for codeobj in self.code_objects.itervalues():
if not 'IS_OPENMP_COMPATIBLE' in codeobj.template_source:
raise RuntimeError(("Code object '%s' uses the template %s "
"which is not compatible with "
"OpenMP.") % (codeobj.name,
codeobj.template_name))
arange_arrays = sorted([(var, start)
for var, start in self.arange_arrays.iteritems()],
key=lambda (var, start): var.name)
# # Find np arrays in the namespaces and convert them into static
# # arrays. Hopefully they are correctly used in the code: For example,
# # this works for the namespaces for functions with C++ (e.g. TimedArray
# # treats it as a C array) but does not work in places that are
# # implicitly vectorized (state updaters, resets, etc.). But arrays
# # shouldn't be used there anyway.
for code_object in self.code_objects.itervalues():
for name, value in code_object.variables.iteritems():
if isinstance(value, np.ndarray):
self.static_arrays[name] = value
# write the static arrays
logger.debug("static arrays: "+str(sorted(self.static_arrays.keys())))
static_array_specs = []
for name, arr in sorted(self.static_arrays.items()):
arr.tofile(os.path.join(directory, 'static_arrays', name))
static_array_specs.append((name, c_data_type(arr.dtype), arr.size, name))
# Write the global objects
networks = [net() for net in Network.__instances__()
if net().name != '_fake_network']
synapses = []
for net in networks:
net_synapses = [s for s in net.objects if isinstance(s, Synapses)]
synapses.extend(net_synapses)
# We don't currently support pathways with scalar delays
for synapse_obj in net_synapses:
for pathway in synapse_obj._pathways:
if not isinstance(pathway.variables['delay'],
DynamicArrayVariable):
error_msg = ('The "%s" pathway uses a scalar '
'delay (instead of a delay per synapse). '
'This is not yet supported. Do not '
'specify a delay in the Synapses(...) '
'call but instead set its delay attribute '
'afterwards.') % (pathway.name)
raise NotImplementedError(error_msg)
# Not sure what the best place is to call Network.after_run -- at the
# moment the only important thing it does is to clear the objects stored
# in magic_network. If this is not done, this might lead to problems
# for repeated runs of standalone (e.g. in the test suite).
for net in networks:
net.after_run()
arr_tmp = CPPStandaloneCodeObject.templater.objects(
None, None,
array_specs=self.arrays,
dynamic_array_specs=self.dynamic_arrays,
dynamic_array_2d_specs=self.dynamic_arrays_2d,
zero_arrays=self.zero_arrays,
arange_arrays=arange_arrays,
synapses=synapses,
clocks=self.clocks,
static_array_specs=static_array_specs,
networks=networks)
writer.write('objects.*', arr_tmp)
main_lines = []
procedures = [('', main_lines)]
runfuncs = {}
for func, args in self.main_queue:
if func=='run_code_object':
codeobj, = args
main_lines.append('_run_%s();' % codeobj.name)
elif func=='run_network':
net, netcode = args
main_lines.extend(netcode)
elif func=='set_by_array':
arrayname, staticarrayname = args
code = '''
{pragma}
for(int i=0; i<_num_{staticarrayname}; i++)
{{
{arrayname}[i] = {staticarrayname}[i];
}}
'''.format(arrayname=arrayname, staticarrayname=staticarrayname, pragma=openmp_pragma('static'))
main_lines.extend(code.split('\n'))
elif func=='set_by_single_value':
arrayname, item, value = args
code = '{arrayname}[{item}] = {value};'.format(arrayname=arrayname,
item=item,
value=value)
main_lines.extend([code])
elif func=='set_array_by_array':
arrayname, staticarrayname_index, staticarrayname_value = args
code = '''
{pragma}
for(int i=0; i<_num_{staticarrayname_index}; i++)
{{
{arrayname}[{staticarrayname_index}[i]] = {staticarrayname_value}[i];
}}
'''.format(arrayname=arrayname, staticarrayname_index=staticarrayname_index,
staticarrayname_value=staticarrayname_value, pragma=openmp_pragma('static'))
main_lines.extend(code.split('\n'))
elif func=='insert_code':
main_lines.append(args)
elif func=='start_run_func':
name, include_in_parent = args
if include_in_parent:
main_lines.append('%s();' % name)
main_lines = []
procedures.append((name, main_lines))
elif func=='end_run_func':
name, include_in_parent = args
name, main_lines = procedures.pop(-1)
runfuncs[name] = main_lines
name, main_lines = procedures[-1]
else:
raise NotImplementedError("Unknown main queue function type "+func)
# generate the finalisations
for codeobj in self.code_objects.itervalues():
if hasattr(codeobj.code, 'main_finalise'):
main_lines.append(codeobj.code.main_finalise)
# Generate data for non-constant values
code_object_defs = defaultdict(list)
for codeobj in self.code_objects.itervalues():
lines = []
for k, v in codeobj.variables.iteritems():
if isinstance(v, AttributeVariable):
# We assume all attributes are implemented as property-like methods
line = 'const {c_type} {varname} = {objname}.{attrname}();'
lines.append(line.format(c_type=c_data_type(v.dtype), varname=k, objname=v.obj.name,
attrname=v.attribute))
elif isinstance(v, ArrayVariable):
try:
if isinstance(v, DynamicArrayVariable):
if v.dimensions == 1:
dyn_array_name = self.dynamic_arrays[v]
array_name = self.arrays[v]
line = '{c_type}* const {array_name} = &{dyn_array_name}[0];'
line = line.format(c_type=c_data_type(v.dtype), array_name=array_name,
dyn_array_name=dyn_array_name)
lines.append(line)
line = 'const int _num{k} = {dyn_array_name}.size();'
line = line.format(k=k, dyn_array_name=dyn_array_name)
lines.append(line)
else:
lines.append('const int _num%s = %s;' % (k, v.size))
except TypeError:
pass
for line in lines:
# Sometimes an array is referred to by to different keys in our
# dictionary -- make sure to never add a line twice
if not line in code_object_defs[codeobj.name]:
code_object_defs[codeobj.name].append(line)
# Generate the code objects
for codeobj in self.code_objects.itervalues():
ns = codeobj.variables
# TODO: fix these freeze/CONSTANTS hacks somehow - they work but not elegant.
code = freeze(codeobj.code.cpp_file, ns)
code = code.replace('%CONSTANTS%', '\n'.join(code_object_defs[codeobj.name]))
code = '#include "objects.h"\n'+code
writer.write('code_objects/'+codeobj.name+'.cpp', code)
writer.write('code_objects/'+codeobj.name+'.h', codeobj.code.h_file)
# The code_objects are passed in the right order to run them because they were
# sorted by the Network object. To support multiple clocks we'll need to be
# smarter about that.
main_tmp = CPPStandaloneCodeObject.templater.main(None, None,
main_lines=main_lines,
code_objects=self.code_objects.values(),
report_func=self.report_func,
dt=float(defaultclock.dt),
additional_headers=main_includes,
)
writer.write('main.cpp', main_tmp)
if compiler=='msvc':
std_move = 'std::move'
else:
std_move = ''
network_tmp = CPPStandaloneCodeObject.templater.network(None, None,
std_move=std_move)
writer.write('network.*', network_tmp)
synapses_classes_tmp = CPPStandaloneCodeObject.templater.synapses_classes(None, None)
writer.write('synapses_classes.*', synapses_classes_tmp)
# Generate the run functions
run_tmp = CPPStandaloneCodeObject.templater.run(None, None, run_funcs=runfuncs,
code_objects=self.code_objects.values(),
additional_headers=run_includes,
)
writer.write('run.*', run_tmp)
# Copy the brianlibdirectory
brianlib_dir = os.path.join(os.path.split(inspect.getsourcefile(CPPStandaloneCodeObject))[0],
'brianlib')
brianlib_files = copy_directory(brianlib_dir, os.path.join(directory, 'brianlib'))
for file in brianlib_files:
if file.lower().endswith('.cpp'):
writer.source_files.append('brianlib/'+file)
elif file.lower().endswith('.h'):
writer.header_files.append('brianlib/'+file)
# Copy the CSpikeQueue implementation
shutil.copy2(os.path.join(os.path.split(inspect.getsourcefile(Synapses))[0], 'cspikequeue.cpp'),
os.path.join(directory, 'brianlib', 'spikequeue.h'))
shutil.copy2(os.path.join(os.path.split(inspect.getsourcefile(Synapses))[0], 'stdint_compat.h'),
os.path.join(directory, 'brianlib', 'stdint_compat.h'))
writer.source_files.extend(additional_source_files)
writer.header_files.extend(additional_header_files)
if compiler=='msvc':
if native:
arch_flag = ''
try:
from cpuinfo import cpuinfo
res = cpuinfo.get_cpu_info()
if 'sse' in res['flags']:
arch_flag = '/arch:SSE'
if 'sse2' in res['flags']:
arch_flag = '/arch:SSE2'
except ImportError:
logger.warn('Native flag for MSVC compiler requires installation of the py-cpuinfo module')
compiler_flags += ' '+arch_flag
if nb_threads>1:
openmp_flag = '/openmp'
else:
openmp_flag = ''
# Generate the visual studio makefile
source_bases = [fname.replace('.cpp', '').replace('/', '\\') for fname in writer.source_files]
win_makefile_tmp = CPPStandaloneCodeObject.templater.win_makefile(
None, None,
source_bases=source_bases,
compiler_flags=compiler_flags,
openmp_flag=openmp_flag,
)
writer.write('win_makefile', win_makefile_tmp)
else:
# Generate the makefile
if os.name=='nt':
rm_cmd = 'del *.o /s\n\tdel main.exe $(DEPS)'
else:
rm_cmd = 'rm $(OBJS) $(PROGRAM) $(DEPS)'
makefile_tmp = CPPStandaloneCodeObject.templater.makefile(None, None,
source_files=' '.join(writer.source_files),
header_files=' '.join(writer.header_files),
compiler_flags=compiler_flags,
rm_cmd=rm_cmd)
writer.write('makefile', makefile_tmp)
# build the project
if compile:
with in_directory(directory):
if compiler=='msvc':
# TODO: handle debug
if debug:
logger.warn('Debug flag currently ignored for MSVC')
vcvars_search_paths = [
# futureproofing!
r'c:\Program Files\Microsoft Visual Studio 15.0\VC\vcvarsall.bat',
r'c:\Program Files (x86)\Microsoft Visual Studio 15.0\VC\vcvarsall.bat',
r'c:\Program Files\Microsoft Visual Studio 14.0\VC\vcvarsall.bat',
r'c:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\vcvarsall.bat',
r'c:\Program Files\Microsoft Visual Studio 13.0\VC\vcvarsall.bat',
r'c:\Program Files (x86)\Microsoft Visual Studio 13.0\VC\vcvarsall.bat',
r'c:\Program Files\Microsoft Visual Studio 12.0\VC\vcvarsall.bat',
r'c:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\vcvarsall.bat',
r'c:\Program Files\Microsoft Visual Studio 11.0\VC\vcvarsall.bat',
r'c:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\vcvarsall.bat',
r'c:\Program Files\Microsoft Visual Studio 10.0\VC\vcvarsall.bat',
r'c:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\vcvarsall.bat',
]
vcvars_loc = prefs['codegen.cpp.msvc_vars_location']
if vcvars_loc=='':
for fname in vcvars_search_paths:
if os.path.exists(fname):
vcvars_loc = fname
break
if vcvars_loc=='':
raise IOError("Cannot find vcvarsall.bat on standard search path.")
# TODO: copy vcvars and make replacements for 64 bit automatically
arch_name = prefs['codegen.cpp.msvc_architecture']
if arch_name=='':
mach = platform.machine()
if mach=='AMD64':
arch_name = 'x86_amd64'
else:
arch_name = 'x86'
vcvars_cmd = '"{vcvars_loc}" {arch_name}'.format(
vcvars_loc=vcvars_loc, arch_name=arch_name)
make_cmd = 'nmake /f win_makefile'
if os.path.exists('winmake.log'):
os.remove('winmake.log')
with std_silent(debug):
if clean:
os.system('%s >>winmake.log 2>&1 && %s clean >>winmake.log 2>&1' % (vcvars_cmd, make_cmd))
x = os.system('%s >>winmake.log 2>&1 && %s >>winmake.log 2>&1' % (vcvars_cmd, make_cmd))
if x!=0:
raise RuntimeError("Project compilation failed")
else:
with std_silent(debug):
if clean:
os.system('make clean')
if debug:
x = os.system('make debug')
elif native:
x = os.system('make native')
else:
x = os.system('make')
if x!=0:
raise RuntimeError("Project compilation failed")
if run:
if not with_output:
stdout = open(os.devnull, 'w')
else:
stdout = None
if os.name=='nt':
x = subprocess.call(['main'] + run_args, stdout=stdout)
else:
x = subprocess.call(['./main'] + run_args, stdout=stdout)
if x:
raise RuntimeError("Project run failed")
self.has_been_run = True
def get_server_usage_stats(agent):
yield From(agent.run_event.wait())
config = agent.config['metrics']
logger.info('starting "get_server_usage" task for "%s"', hostname)
prev_stats = psutil.disk_io_counters(perdisk=True)
prev_io_counters = psutil.net_io_counters(pernic=True)
disk_partitions = psutil.disk_partitions()
partition_mountpoint = dict()
partitions = set()
included_partitions = [part.device for part in disk_partitions]
for dp in disk_partitions:
if included_partitions and dp.device not in included_partitions:
continue
partitions.add(dp.device)
partition_mountpoint[dp.device] = dp.mountpoint
while agent.run_event.is_set():
yield From(asyncio.sleep(frequency))
try:
#OpenStack processes
the_processes = [
'nova-novncproxy', 'nova-cert', 'nova-compute',
'nova-conductor', 'nova-api', 'neutron-openvswitch-agent',
'neutron-l3-agent', 'neutron-dhcp-agent', 'nova-scheduler',
'neutron-server', 'neutron-metadata-agent'
]
the_processes_to_check = [
'nova-novncproxy', 'nova-cert', 'nova-compute',
'nova-conductor', 'nova-api', 'neutron-openvswitch-agent',
'neutron-l3-agent', 'neutron-dhcp-agent', 'nova-scheduler',
'neutron-server', 'neutron-metadata-agent'
]
cpu_percent = psutil.cpu_percent(interval=None)
memory = psutil.virtual_memory()
swap = psutil.swap_memory()
loadavg = os.getloadavg()
data = {
'server_name': hostname,
'measurements': [],
'stats': {
'platform': {},
'hardware': {},
'openstack': {}
}
}
#data['measurements'].append({'name': 'cpu.total', 'value': psutil.cpu_count()})
data['measurements'].append({
'name': 'cpu.percent',
'value': cpu_percent
})
#data['measurements'].append({'name': 'memory.total', 'value': memory.total})
data['measurements'].append({
'name': 'memory.available',
'value': memory.available
})
data['measurements'].append({
'name': 'memory.percent',
'value': memory.percent
})
data['measurements'].append({
'name': 'memory.used',
'value': memory.used
})
data['measurements'].append({
'name': 'memory.free',
'value': memory.free
})
#data['measurements'].append({'name': 'swap.total', 'value': swap.total})
data['measurements'].append({
'name': 'swap.used',
'value': swap.used
})
data['measurements'].append({
'name': 'swap.free',
'value': swap.free
})
data['measurements'].append({
'name': 'swap.percent',
'value': swap.percent
})
data['measurements'].append({
'name': 'loadavg.1',
'value': loadavg[0]
})
data['measurements'].append({
'name': 'loadavg.5',
'value': loadavg[1]
})
data['measurements'].append({
'name': 'loadavg.15',
'value': loadavg[2]
})
curr_stats = psutil.disk_io_counters(perdisk=True)
include_disks = None
include_disks = [part.device for part in disk_partitions]
for disk in curr_stats:
if include_disks and disk not in include_disks:
continue
curr = curr_stats[disk]
prev = prev_stats[disk]
data['measurements'].append({
'name':
'disk_io.read_count',
'tags': {
'disk': disk
},
'value':
curr.read_count - prev.read_count
})
data['measurements'].append({
'name':
'disk_io.write_count',
'tags': {
'disk': disk
},
'value':
curr.write_count - prev.write_count
})
data['measurements'].append({
'name':
'disk_io.read_bytes',
'tags': {
'disk': disk
},
'value':
curr.read_bytes - prev.read_bytes
})
data['measurements'].append({
'name':
'disk_io.write_bytes',
'tags': {
'disk': disk
},
'value':
curr.write_bytes - prev.write_bytes
})
data['measurements'].append({
'name':
'disk_io.read_time',
'tags': {
'disk': disk
},
'value':
curr.read_time - prev.read_time
})
data['measurements'].append({
'name':
'disk_io.write_time',
'tags': {
'disk': disk
},
'value':
curr.write_time - prev.write_time
})
prev_stats = curr_stats
for partition in partitions:
disk_data = psutil.disk_usage(partition_mountpoint[partition])
data['measurements'].append({
'name': 'partition_usage.total',
'tags': {
'partition': partition
},
'value': disk_data.total
})
data['measurements'].append({
'name': 'partition_usage.used',
'tags': {
'partition': partition
},
'value': disk_data.used
})
data['measurements'].append({
'name': 'partition_usage.free',
'tags': {
'partition': partition
},
'value': disk_data.free
})
data['measurements'].append({
'name': 'partition_usage.percent',
'tags': {
'partition': partition
},
'value': disk_data.percent
})
curr_io_counters = psutil.net_io_counters(pernic=True)
for interface in curr_io_counters:
try:
curr = curr_io_counters[interface]
except:
curr = 0
try:
prev = prev_io_counters[interface]
except:
prev = 0
if curr and hasattr(curr, 'bytes_sent'):
curr_bytes_sent = curr.bytes_sent
else:
curr_bytes_sent = 0
if curr and hasattr(curr, 'bytes_recv'):
curr_bytes_recv = curr.bytes_recv
else:
curr_bytes_recv = 0
if prev and hasattr(prev, 'bytes_sent'):
prev_bytes_sent = prev.bytes_sent
else:
prev_bytes_sent = 0
if prev and hasattr(prev, 'bytes_recv'):
prev_bytes_recv = prev.bytes_recv
else:
prev_bytes_recv = 0
if curr and hasattr(curr, 'packets_sent'):
curr_packets_sent = curr.packets_sent
else:
curr_packets_sent = 0
if curr and hasattr(curr, 'packets_recv'):
curr_packets_recv = curr.packets_recv
else:
curr_packets_recv = 0
if prev and hasattr(prev, 'packets_sent'):
prev_packets_sent = prev.packets_sent
else:
prev_packets_sent = 0
if prev and hasattr(prev, 'packets_recv'):
prev_packets_recv = prev.packets_recv
else:
prev_packets_recv = 0
if curr and hasattr(curr, 'errin'):
curr_errin = curr.errin
else:
curr_errin = 0
if curr and hasattr(curr, 'errout'):
curr_errout = curr.errout
else:
curr_errout = 0
if prev and hasattr(prev, 'errin'):
prev_errin = prev.errin
else:
prev_errin = 0
if prev and hasattr(prev, 'errout'):
prev_errout = prev.errout
else:
prev_errout = 0
if curr and hasattr(curr, 'dropin'):
curr_dropin = curr.dropin
else:
curr_dropin = 0
if curr and hasattr(curr, 'dropout'):
curr_dropout = curr.dropout
else:
curr_dropout = 0
if prev and hasattr(prev, 'dropin'):
prev_dropin = prev.dropin
else:
prev_dropin = 0
if prev and hasattr(prev, 'dropout'):
prev_dropout = prev.dropout
else:
prev_dropout = 0
data['measurements'].append({
'name':
'net_io.bytes_sent',
'tags': {
'interface': interface
},
'value':
curr_bytes_sent - prev_bytes_sent
})
data['measurements'].append({
'name':
'net_io.bytes_recv',
'tags': {
'interface': interface
},
'value':
curr_bytes_recv - prev_bytes_recv
})
data['measurements'].append({
'name':
'net_io.packets_sent',
'tags': {
'interface': interface
},
'value':
curr_packets_sent - prev_packets_sent
})
data['measurements'].append({
'name':
'net_io.packets_recv',
'tags': {
'interface': interface
},
'value':
curr_packets_recv - prev_packets_recv
})
data['measurements'].append({
'name': 'net_io.errin',
'tags': {
'interface': interface
},
'value': curr_errin - prev_errin
})
data['measurements'].append({
'name': 'net_io.errout',
'tags': {
'interface': interface
},
'value': curr_errout - prev_errout
})
data['measurements'].append({
'name': 'net_io.dropin',
'tags': {
'interface': interface
},
'value': curr_dropin - prev_dropin
})
data['measurements'].append({
'name':
'net_io.dropout',
'tags': {
'interface': interface
},
'value':
curr_dropout - prev_dropout
})
server_stats = platform.dist()
data['stats']['platform']['dist'] = platform.dist(
)[0] + ' ' + platform.dist()[1] + ' ' + platform.dist()[2]
data['stats']['platform']['kernel'] = platform.uname()[2]
data['stats']['platform']['architecture'] = platform.architecture(
)[0]
cpu_hw = cpuinfo.get_cpu_info()
data['stats']['platform']['processor'] = {}
data['stats']['platform']['processor']['qty'] = psutil.cpu_count()
data['stats']['platform']['processor'][
'brand'] = cpuinfo.get_cpu_info()['brand']
data['stats']['platform']['processor'][
'count'] = cpuinfo.get_cpu_info()['count']
data['stats']['platform']['processor'][
'flags'] = cpuinfo.get_cpu_info()['flags']
data['stats']['platform']['memory'] = {}
data['stats']['platform']['memory']['total'] = memory.total
data['stats']['platform']['swap'] = {}
data['stats']['platform']['swap']['total'] = swap.total
processes = the_processes
processes_to_check = the_processes_to_check
try:
p = subprocess.Popen(["nova-manage", "version"],
stdout=subprocess.PIPE)
version = p.communicate()[0]
if version:
data['stats']['openstack']['version'] = version.strip()
except Exception, e:
pass
for p in psutil.process_iter():
try:
try:
process_name = p.name()
except:
process_name = p.name
process_found = False
result = False
result = [
process_found for process_found in processes_to_check
if process_name in process_found
]
if len(result) > 0:
process_name = result[0]
if p.is_running():
is_running = 1
else:
is_running = 0
data['measurements'].append({
'name':
'openstack.processes.' + process_name + '.' +
'cpu_percent',
'value':
p.cpu_percent()
})
data['measurements'].append({
'name':
'openstack.processes.' + process_name + '.' +
'memory_percent',
'value':
p.memory_percent()
})
data['measurements'].append({
'name':
'openstack.processes.' + process_name + '.' +
'num_threads',
'value':
p.num_threads()
})
data['measurements'].append({
'name':
'openstack.processes.' + process_name + '.' +
'is_running',
'value':
is_running
})
#data['measurements'].append({'name': 'openstack.processes.'+process_name+'.'+'create_time', 'value': create_time})
if p.is_running() and p.status != psutil.STATUS_ZOMBIE:
process_status = 1
else:
process_status = 0
data['measurements'].append({
'name':
'openstack.processes.' + process_name + '.' + 'up',
'tags': {
'status': p.status()
},
'value':
process_status
})
logger.info(
'OUTPUT - %s',
'openstack.processes.' + process_name + '.' + 'up')
processes_to_check.remove(process_name)
except psutil.Error:
pass
for process in processes_to_check:
data['measurements'].append({
'name':
'openstack.processes.' + process + '.' + 'up',
'tags': {
'status': 'down'
},
'value':
0
})
# OpenStack Nova API
if agent._config['openstack_credentials']['user'] and agent._config[
'openstack_credentials']['password'] and agent._config[
'openstack_credentials']['project'] and agent._config[
'openstack_credentials']['auth_url']:
nova = client.Client(
agent.nova_api_version,
agent._config['openstack_credentials']['user'],
agent._config['openstack_credentials']['password'],
agent._config['openstack_credentials']['project'],
agent._config['openstack_credentials']['auth_url'])
if nova:
#nova services
try:
services = nova.services.list()
for service in services:
status = 1 if service.state == 'up' else 0
data['measurements'].append({
'name':
'openstack.nova-api.services.' +
service.binary + '.' + 'status',
'value':
status
})
except Exception, e:
pass
#availability zones
try:
avalability_zones = nova.availability_zones.list(True)
for availability_zone in avalability_zones:
status = 1 if availability_zone.zoneState[
'available'] is True else 0
data['measurements'].append({
'name':
'openstack.nova-api.avalability_zones.status',
'tags': {
'availability_zone':
availability_zone.zoneName
},
'value': status
})
except Exception, e:
pass
#hypervisor stats
hypervisor_keys = {
'count', 'current_workload', 'disk_available_least',
'free_disk_gb', 'free_ram_mb', 'local_gb',
'local_gb_used', 'memory_mb', 'memory_mb_used',
'running_vms', 'vcpus', 'vcpus_used'
}
try:
stats = nova.hypervisor_stats.statistics()
for key_name in hypervisor_keys:
if hasattr(stats, key_name):
data['measurements'].append({
'name':
'openstack.nova-api.hypervisor_total.' +
key_name,
'value':
getattr(stats, key_name)
})
if hasattr(stats, 'vcpus') and hasattr(
stats, 'vcpus_used'):
data['measurements'].append({
'name':
'openstack.nova-api.hypervisor_total.vcpus_percent',
'value':
round(
100 * float(stats.vcpus_used) /
float(stats.vcpus), 2)
})
if hasattr(stats, 'local_gb') and hasattr(
stats, 'local_gb_used'):
data['measurements'].append({
'name':
'openstack.nova-api.hypervisor_total.local_gb_percent',
'value':
round(
100 * float(stats.local_gb_used) /
float(stats.local_gb), 2)
})
if hasattr(stats, 'memory_mb') and hasattr(
stats, 'memory_mb_used'):
data['measurements'].append({
'name':
'openstack.nova-api.hypervisor_total.memory_mb_percent',
'value':
round(
100 * float(stats.memory_mb_used) /
float(stats.memory_mb), 2)
})
except Exception, e:
pass
#server stats
try:
servers = nova.servers.list()
for server in servers:
value = agent.openstack_status[server.status]
if not value:
value = -1
data['measurements'].append({
'name': 'openstack.nova-api.servers',
'tags': {
'name': server.name,
'id': server.id,
'tenant_id': server.tenant_id,
'status': server.status
},
'value': value
})
except Exception, e:
pass
def main(self, args):
import aetros.const
parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter,
prog=aetros.const.__prog__ + ' run')
parser.add_argument('command', nargs='?', help="The command to run. Default read in configuration file")
parser.add_argument('-i', '--image', help="Which Docker image to use for the command. Default read in configuration file. If not specified, command is executed on the host.")
parser.add_argument('--no-image', action='store_true', help="Forces not to use docker, even when image is defined in the configuration file.")
parser.add_argument('-s', '--server', action='append', help="Limits the server pool to this server. Default not limitation or read in configuration file. Multiple --server allowed.")
parser.add_argument('-m', '--model', help="Under which model this job should be listed. Default read in configuration file")
parser.add_argument('-l', '--local', action='store_true', help="Start the job immediately on the current machine.")
parser.add_argument('-c', '--config', help="Default aetros.yml in current working directory.")
parser.add_argument('--priority', help="Increases or decreases priority. Default is 0.")
parser.add_argument('--cpu', help="How many CPU cores should be assigned to job. Docker only.")
parser.add_argument('--memory', help="How much memory should be assigned to job. Docker only.")
parser.add_argument('--gpu', help="How many GPU cards should be assigned to job. Docker only.")
parser.add_argument('--gpu_memory', help="Memory requirement for the GPU. Docker only.")
parser.add_argument('--offline', '-o', action='store_true', help="Whether the execution should happen offline.")
parser.add_argument('--rebuild-image', action='store_true', help="Makes sure the Docker image is re-built without cache.")
parser.add_argument('--max-time', help="Limit execution time in seconds. Sends SIGINT to the process group when reached.")
parser.add_argument('--max-epochs', help="Limit execution epochs. Sends SIGINT to the process group when reached.")
parser.add_argument('--gpu-device', action='append', help="Which device id should be mapped into the NVIDIA docker container. Only when --local")
parser.add_argument('--volume', '-v', action='append', help="Volume into docker. Only when --local")
parser.add_argument('-e', action='append', help="Sets additional environment variables. '-e name=value' to set value, or '-e name' to read from current env")
parser.add_argument('-p', '--param', action='append', help="Sets a hyperparameter, example '--param name=value'. Multiple --param allowed.")
parsed_args = parser.parse_args(args)
if parsed_args.config and not os.path.exists(parsed_args.config):
self.logger.error("fatal: file %s does not exist." % (parsed_args.config,))
sys.exit(2)
config = find_config(parsed_args.config)
home_config = read_home_config()
if config['model'] and not parsed_args.model:
parsed_args.model = config['model']
if not parsed_args.model:
print("fatal: no model defined. Use --model or switch into a directory where you executed 'aetros init model-name'.")
sys.exit(2)
if not parsed_args.local and parsed_args.volume:
print("fatal: can not use volume with jobs on the cluster. Use datasets instead.")
sys.exit(1)
if parsed_args.local and parsed_args.priority:
print("fatal: the priority can only be set for jobs in the cluster.")
sys.exit(1)
if config['image']:
ensure_docker_installed(self.logger)
env = {}
if parsed_args.e:
for item in parsed_args.e:
if '=' in item:
k, v = item.split('=')
else:
k = item
v = os.getenv(k)
env[k] = v
if ('command' not in config or not config['command']) and not parsed_args.command:
self.logger.error('No command given. Define the command in aetros.yml or use command argument.')
sys.exit(1)
job_backend = JobBackend(parsed_args.model, self.logger)
ignore = []
if 'ignore' in config:
ignore = config['ignore']
job_backend.job = {'config': {'ignore': ignore}}
adding_files = loading_text("- Adding job files to index ... ")
files_added, size_added = job_backend.add_files(config['root'], report=False)
adding_files("done with %d file%s added (%s)."
% (files_added, 's' if files_added != 1 else '', human_size(size_added, 2)))
create_info = {
'type': 'custom',
'config': config
}
incoming_hyperparameter = {}
if parsed_args.param:
for param in parsed_args.param:
if '=' not in param:
raise Exception('--param ' + param + ' does not contain a `=`. Please use "--param name=value"')
name, value = param.split('=')
incoming_hyperparameter[name] = value
# first transform simple format in the full definition with parameter types
# (string, number, group, choice_group, etc)
full_hyperparameters = lose_parameters_to_full(config['parameters'])
# now extract hyperparameters from full definition, and overwrite stuff using
# incoming_hyperparameter if available
hyperparameter = extract_parameters(full_hyperparameters, incoming_hyperparameter)
create_info['config']['parameters'] = hyperparameter
if parsed_args.rebuild_image:
create_info['config']['rebuild_image'] = True
if parsed_args.max_epochs:
create_info['config']['maxEpochs'] = int(parsed_args.max_epochs)
create_info['config']['priority'] = 0
if parsed_args.priority:
create_info['config']['priority'] = float(parsed_args.priority)
if parsed_args.max_time:
create_info['config']['maxTime'] = float(parsed_args.max_time)
if parsed_args.command:
create_info['config']['command'] = parsed_args.command
if parsed_args.image:
# reset install options, since we can't make sure if the base image still fits
if 'image' in config and config['image'] and config['image'] != parsed_args.image:
create_info['config']['install'] = None
# reset dockerfile, since we specified manually an image
create_info['config']['dockerfile'] = None
create_info['config']['image'] = parsed_args.image
if parsed_args.no_image:
create_info['config']['image'] = None
if parsed_args.server:
create_info['config']['servers'] = []
for name in parsed_args.server:
create_info['config']['servers'].append(name)
create_info['config']['resources'] = create_info['config'].get('resources', {})
resources = create_info['config']['resources']
default_cpu_and_memory = 1 if create_info['config']['image'] else 0
resources['cpu'] = int(parsed_args.cpu or resources.get('cpu', default_cpu_and_memory))
resources['memory'] = int(parsed_args.memory or resources.get('memory', default_cpu_and_memory))
resources['gpu'] = int(parsed_args.gpu or resources.get('gpu', 0))
resources['gpu_memory'] = int(parsed_args.gpu_memory or resources.get('gpu_memory', 0))
if parsed_args.local:
create_info['server'] = 'local'
# make sure we do not limit the resources to something that is not available on the local machine
warning = []
cpu = cpuinfo.get_cpu_info()
mem = psutil.virtual_memory().total
gpu = 0
try:
gpu = len(get_ordered_devices())
except CudaNotImplementedException: pass
if not create_info['config']['image'] and not all([x == 0 for x in six.itervalues(resources)]):
self.logger.warning("! No Docker virtualization since no `image` defined, resources limitation ignored.")
if create_info['config']['image'] and resources['gpu'] > 0:
if not (sys.platform == "linux" or sys.platform == "linux2"):
self.logger.warning("! Your operating system does not support GPU allocation for "
"Docker virtualization. "
"NVIDIA-Docker2 is only supported on Linux.")
local_max_resources = {'cpu': cpu['count'], 'memory': ceil(mem / 1024 / 1024 / 1024), 'gpu': gpu}
if create_info['config']['image']:
# read max hardware within Docker
out = docker_call(['run', 'alpine', 'sh', '-c', 'nproc && cat /proc/meminfo | grep MemTotal'])
cpus, memory = out.decode('utf-8').strip().split('\n')
local_max_resources['cpu'] = int(cpus)
memory = memory.replace('MemTotal:', '').replace('kB', '').strip()
local_max_resources['memory'] = ceil(int(memory) / 1024 / 1024)
if local_max_resources['cpu'] < resources['cpu']:
warning.append('CPU cores %d -> %d' % (resources['cpu'], local_max_resources['cpu']))
resources['cpu'] = local_max_resources['cpu']
if local_max_resources['memory'] < resources['memory']:
warning.append('memory %dGB -> %dGB' % (resources['memory'], local_max_resources['memory']))
resources['memory'] = local_max_resources['memory']
if local_max_resources['gpu'] < resources['gpu']:
warning.append('GPU cards %d -> %d' % (resources['gpu'], local_max_resources['gpu']))
resources['gpu'] = local_max_resources['gpu']
if warning:
self.logger.warning("! Resources downgrade due to missing hardware: %s." % (', '.join(warning),))
if parsed_args.config and not create_info['config']['configPath']:
create_info['config']['configPath'] = parsed_args.config
create_info['config']['sourcesAttached'] = True
creating_git_job = loading_text("- Create job in local Git ... ")
if aetros.utils.git.get_current_commit_hash():
create_info['origin_git_source'] = {
'origin': aetros.utils.git.get_current_remote_url(),
'author': aetros.utils.git.get_current_commit_author(),
'message': aetros.utils.git.get_current_commit_message(),
'branch': aetros.utils.git.get_current_branch(),
'commit': aetros.utils.git.get_current_commit_hash(),
}
job_backend.create(create_info=create_info, server=None)
creating_git_job("created %s in %s." % (job_backend.job_id[0:9], job_backend.model_name))
summary = "➤ Summary: Job running "
if parsed_args.local:
summary += 'locally'
else:
summary += 'on the cluster'
if create_info['config']['image']:
summary += ' in Docker using image %s with %d CPU cores, %dGB memory and %d GPUs.' \
% (create_info['config']['image'], resources['cpu'], resources['memory'], resources['gpu'])
else:
summary += ' on host using all available resources.'
print(summary)
# tasks = []
#
# if 'tasks' in config:
# for name, task_config in six.iteritems(config['tasks']):
# replica = 1
# if 'replica' in task_config:
# replica = int(task_config['replica'])
# for index in range(0, replica):
# tasks.append(job_backend.create_task(job_id, task_config, name, index))
if parsed_args.offline:
if not parsed_args.local:
self.logger.warning("Can not create a remote job in offline mode.")
sys.exit(1)
self.logger.warning("Execution started offline.")
else:
adding_files = loading_text("- Connecting to "+home_config['host']+" ... ")
if job_backend.connect():
adding_files("connected.")
else:
parsed_args.offline = True
adding_files("failed. Continue in offline mode.")
if not parsed_args.offline:
sys.stdout.write("- Uploading job data ... ")
job_backend.git.push()
job_backend.client.wait_until_queue_empty(['files'], clear_end=False)
sys.stdout.write(" done.\n")
link = "%smodel/%s/job/%s" % (home_config['url'], job_backend.model_name, job_backend.job_id)
sys.__stdout__.write(u"➤ Monitor job at %s\n" % (link))
if parsed_args.local:
job_backend.start(collect_system=False, offline=parsed_args.offline, push=False)
if not parsed_args.offline:
job_backend.git.start_push_sync()
cpus = create_info['config']['resources']['cpu']
memory = create_info['config']['resources']['memory']
if not parsed_args.gpu_device and create_info['config']['resources']['gpu'] > 0:
# if requested 2 GPUs and we have 3 GPUs with id [0,1,2], gpus should be [0,1]
parsed_args.gpu_device = []
for i in range(0, create_info['config']['resources']['gpu']):
parsed_args.gpu_device.append(i)
start_command(self.logger, job_backend, env, parsed_args.volume, cpus=cpus, memory=memory, gpu_devices=parsed_args.gpu_device,
offline=parsed_args.offline)
def post_process_perf_results(settings, results_location, workitem_dir):
# Use the xunit perf analysis exe from nuget package here
log.info('Converting xml to csv')
payload_dir = fix_path(os.getenv('HELIX_CORRELATION_PAYLOAD'))
xmlconvertorpath = os.path.join(*[payload_dir, 'Microsoft.DotNet.xunit.performance.analysis', '1.0.0-alpha-build0028', 'tools', 'xunit.performance.analysis.exe'])
xmlCmd = xmlconvertorpath+' -csv '+os.path.join(workitem_dir, 'results.csv')+' '+results_location
if (helix.proc.run_and_log_output(xmlCmd.split(' '))) != 0:
raise Exception('Failed to generate csv from result xml')
perfscriptsdir = os.path.join(*[payload_dir, 'RunnerScripts', 'xunitrunner-perf'])
# need to extract more properties from settings to pass to csvtojsonconvertor.py
jsonPath = os.path.join(workitem_dir, settings.workitem_id+'.json')
log.info('Uploading the results.csv file')
_write_output_path(os.path.join(workitem_dir, 'results.csv'), settings)
perfsettingsjson = ''
with open(os.path.join(perfscriptsdir, 'xunitrunner-perf.json'), 'rb') as perfsettingsjson:
# read the perf-specific settings
perfsettingsjson = json.loads(perfsettingsjson.read())
jsonArgsDict = dict()
jsonArgsDict['--csvFile'] = os.path.join(workitem_dir, 'results.csv')
jsonArgsDict['--jsonFile'] = jsonPath
jsonArgsDict['--jobName'] = settings.correlation_id
jsonArgsDict['--jobDescription'] = '...'
jsonArgsDict['--configName'] = perfsettingsjson['TargetQueue']
jsonArgsDict['--jobGroupName'] = perfsettingsjson['Creator']+'-'+perfsettingsjson['TestProduct']+'-'+perfsettingsjson['Branch']+'-Perf'
jsonArgsDict['--jobTypeName'] = 'Private'
jsonArgsDict['--username'] = perfsettingsjson['Creator']
jsonArgsDict['--userAlias'] = perfsettingsjson['Creator']
jsonArgsDict['--branch'] = perfsettingsjson['TestProduct']
jsonArgsDict['--buildInfoName'] = perfsettingsjson['BuildMoniker']
# extract build number from buildmoniker if official build
buildtokens = perfsettingsjson['BuildMoniker'].split('-')
if len(buildtokens) < 3:
jsonArgsDict['--buildNumber'] = perfsettingsjson['BuildMoniker']
else:
jsonArgsDict['--buildNumber'] = buildtokens[-2] +'.'+buildtokens[-1]
jsonArgsDict['--machinepoolName'] = perfsettingsjson['TargetQueue']
jsonArgsDict['--machinepoolDescription'] = '...'
jsonArgsDict['--microarchName'] = 'SSE2' # cannot be obtained by cpu-info; need to figure out some other way
jsonArgsDict['--numberOfCores'] = psutil.cpu_count(logical=False)
jsonArgsDict['--numberOfLogicalProcessors'] = psutil.cpu_count(logical=True)
# psutil returns mem in bytes, convert it to MB for readability
jsonArgsDict['--totalPhysicalMemory'] = psutil.virtual_memory().total/1024
jsonArgsDict['--osInfoName'] = platform.system()
jsonArgsDict['--osVersion'] = platform.version()
jsonArgsDict['--machineName'] = platform.node()
info = cpuinfo.get_cpu_info()
jsonArgsDict['--architectureName'] = format(info['arch'])
jsonArgsDict['--machineDescription'] = format(info['brand'])
jsonArgsDict['--manufacturerName'] = format(info['vendor_id'])
jsonArgs = [sys.executable, os.path.join(perfscriptsdir, 'csvjsonconvertor.py')]
for key, value in jsonArgsDict.iteritems():
jsonArgs.append(key)
jsonArgs.append(str(value))
if (helix.proc.run_and_log_output(jsonArgs)) != 0:
raise Exception('Failed to generate json from csv file')
# set info to upload result to perf-specific json container
log.info('Uploading the results json')
perfsettings = copy.deepcopy(settings)
perfsettings.output_uri = perfsettingsjson['RootURI']
perfsettings.output_write_token = perfsettingsjson['WriteToken']
perfsettings.output_read_token = perfsettingsjson['ReadToken']
_write_output_path(jsonPath, perfsettings)
def run_simulations(args):
global instance_names
global cmd
global parameter_string_template
global cmd_builder_script
# parse the arguments, find the instances and read the pcs file
options = parse_args(args)
cmd_builder_script = options['cmd_builder_script']
logging.info("Setting up simulations in '%s'"%options['outputdir'])
instance_names = find_instances(options['training_instances'])
# in case the validation-fraction option is used
if options['validation_instances'] is None:
instance_names = find_instances(options['training_instances'])
random.shuffle(instance_names)
num_test_instances = int(len(instance_names) * options['validation_fraction'])
num_train_instances= len(instance_names) - num_test_instances
else: # if a specific set of validation instances was specified
test_instances = find_instances(options['validation_instances'])
num_train_instances = len(instance_names)
num_test_instances = len(test_instances)
instance_names = instance_names + test_instances
if (num_train_instances < 1 or num_test_instances <1):
logging.error("Unable to create a training-test split from "
"the instances you provided!")
sys.exit(2)
param_dict, conditions, forbiddens = pysmac.utils.read_pcs(options['pcs'])
logging.debug("Params: %s" % (str(list(param_dict.keys()))))
logging.debug("Params: %s" % (str(param_dict)))
parameter_string_template = ("%s" % options['prefix']) +\
'%s' + ('%s' % options['separator']) + '%s'
cmd = "%s %s" % (options['binary'], options['callstring'])
smac_debug = False if options['verbosity'] != 'DEBUG' else True
# for the special seed 0,
if options['seed'] == 0:
# make sure that the output directory exists
try:
os.makedirs(options['outputdir'])
except OSError as exception:
if exception.errno != errno.EEXIST:
raise
# store meta information in a file for the report
with open(os.path.join(options['outputdir'], 'spysmac.meta'),'w') as fh:
# os information
fh.write("os system = {}\n".format(platform.system()))
fh.write("os release = {}\n".format(platform.release()))
# cpu info
info = get_cpu_info()
fh.write("cpu vendor = {}\n".format(info['vendor_id']))
fh.write("cpu brand = {}\n".format(info['brand']))
fh.write("cpu hz = {}\n".format(info['hz_advertised']))
fh.write("cpu arch = {}\n".format(info['arch']))
fh.write("cpu count = {}\n".format(info['count']))
# spysmacs run options
for (k,v) in list(options.items()):
fh.write("{} = {}\n".format(k,v))
# pcs information
for key in param_dict.keys():
fh.write("%s = %s\n" % (key, param_dict[key][1]))
# make sure no time is wasted and go directly to the validation
options['repetitions'] = 1
options['budget'] = 1
smac = pysmac.optimizer.SMAC_optimizer(deterministic=False,
t_limit_total_s=options['budget'],
mem_limit_smac_mb=1024,
working_directory=options['outputdir'],
persistent_files=True, debug=smac_debug)
# adjust some advanced SMAC options here
smac.smac_options['wallclock-limit'] = options['budget']
smac.smac_options['run-obj'] = 'RUNTIME'
smac.smac_options['overall_obj']='MEAN10'
if options['seed'] == 0:
smac.smac_options['scenario_fn'] = 'default_validation_scenario.dat'
with open(os.path.join(options['outputdir'],'shuffled_instances.txt'),'w') as fh:
fh.write('\n'.join(instance_names))
logging.info('Starting SMAC...')
num_evals = 2**31-1 if options['seed'] > 0 else 1
smac.minimize(sat_function, num_evals, param_dict, conditions,
forbiddens, num_instances=num_train_instances,
num_test_instances=num_train_instances+num_test_instances,
seed=options['seed'], num_procs=options['num_procs'],
num_runs=options['repetitions'],
mem_limit_function_mb=options['memory'],
t_limit_function_s=options['cutoff'])
def cpu_info():
""" Show instruction type, arch, tecnology and more info
"""
return jsonify(cpuinfo=cpuinfo.get_cpu_info())
def get_system_processor(self):
info = cpuinfo.get_cpu_info()
return str(info['brand'])
# coding: UTF-8
from statistics import mean
from typing import Iterable
from cpuinfo import cpuinfo
LLC_SIZE = int(cpuinfo.get_cpu_info()['l3_cache_size'].split()[0]) * 1024
class BasicMetric:
def __init__(self, l2miss, l3miss, inst, cycles, stall_cycles, wall_cycles, intra_coh,
inter_coh, llc_size, local_mem, remote_mem, interval):
self._l2miss = l2miss
self._l3miss = l3miss
self._instructions = inst
self._cycles = cycles
self._stall_cycles = stall_cycles
self._wall_cycles = wall_cycles
self._intra_coh = intra_coh
self._inter_coh = inter_coh
self._llc_size = llc_size
self._local_mem = local_mem
self._remote_mem = remote_mem
self._interval = interval
@classmethod
def calc_avg(cls, metrics: Iterable['BasicMetric']) -> 'BasicMetric':
return BasicMetric(
mean(metric._l2miss for metric in metrics),
mean(metric._l3miss for metric in metrics),
def generate_json(opts, csvdicts):
perfsettingsjson = ''
with open(os.path.join(opts['--perfSettingsJson'])) as perfsettingsjson:
# read the perf-specific settings
perfsettingsjson = json.loads(perfsettingsjson.read())
jsonFilePath = opts['--jsonFile']
log.info('Attempting to generate '+jsonFilePath)
rootTests = list()
info = cpuinfo.get_cpu_info()
for metric, currdict in csvdicts.iteritems():
# recursively build nodes from the csvdict
rootTest = generate_test_object(currdict, perfsettingsjson['TestProduct']+' Perf Test Results', info, metric)
rootTests.append(rootTest)
# populate the root level meta info
run = serialobj.Run()
run.testList = rootTests
machinepool = serialobj.MachinePool()
architecture = serialobj.Architecture()
architecture.architectureName = format(info['arch'])
machinepool.architecture = architecture
manufacturer = serialobj.Manufacturer()
manufacturer.manufacturerName = format(info['vendor_id'])
machinepool.manufacturer = manufacturer
microarch = serialobj.MicroArch()
microarch.microarchName = 'SSE2' # cannot be obtained by cpu-info; need to figure out some other way
osInfo = serialobj.OSInfo()
osInfo.osInfoName = platform.system()
osInfo.osVersion = platform.version()
machinepool.osInfo = osInfo
machinepool.microarch = microarch
machinepool.NumberOfCores = psutil.cpu_count(logical=False)
machinepool.NumberOfLogicalProcessors = psutil.cpu_count(logical=True)
machinepool.TotalPhysicalMemory = psutil.virtual_memory().total/1024
machinepool.machinepoolName = perfsettingsjson['TargetQueue']
machinepool.machinepoolDescription = '...'
run.machinepool = machinepool
config = serialobj.Config()
config.configName = perfsettingsjson['TargetQueue']
run.config = config
runs = list()
runs.append(run)
job = serialobj.Job()
job.Runs = runs
user = serialobj.User()
user.userName = perfsettingsjson['Creator']
user.userAlias = perfsettingsjson['Creator']
job.user = user
# extract build number from buildmoniker if official build
buildtokens = perfsettingsjson['BuildMoniker'].split('-')
if len(buildtokens) < 3:
buildNumber = perfsettingsjson['BuildMoniker']
else:
buildNumber = buildtokens[-2] +'.'+buildtokens[-1]
buildInfo = serialobj.BuildInfo()
buildInfo.buildInfoName = perfsettingsjson['BuildMoniker']
buildInfo.buildNumber = buildNumber
buildInfo.branch = perfsettingsjson['TestProduct']
job.buildInfo = buildInfo
jobType = serialobj.JobType()
jobType.jobTypeName = 'Private'
job.jobType = jobType
jobGroup = serialobj.JobGroup()
jobGroup.jobGroupName = perfsettingsjson['Creator']+'-'+perfsettingsjson['TestProduct']+'-'+perfsettingsjson['Branch']+'-Perf'
job.jobGroup = jobGroup
job.jobDescription = '...'
job.jobName = opts['--jobName']
root = serialobj.Root()
root.job = job
jsonOutput = serialobj.JsonOutput()
jsonOutput.roots.append(root)
with open(jsonFilePath, 'w+') as opfile:
opfile.write(jsonOutput.to_JSON())
opfile.flush()
opfile.close()
log.info('Conversion of csv to json successful')
.. document_brian_prefs:: codegen.cpp
'''
from distutils.ccompiler import get_default_compiler
from cpuinfo import cpuinfo
from brian2.core.preferences import prefs, BrianPreference
from .codeobject import sys_info
__all__ = ['get_compiler_and_args']
# Try to get architecture information to get the best compiler setting for
# Windows
msvc_arch_flag = ''
res = cpuinfo.get_cpu_info()
# Note that this overwrites the arch_flag, i.e. only the best option will
# be used
if 'sse' in res['flags']:
msvc_arch_flag = '/arch:SSE'
if 'sse2' in res['flags']:
msvc_arch_flag = '/arch:SSE2'
if 'avx' in res['flags']:
msvc_arch_flag = '/arch:AVX'
if 'avx2' in res['flags']:
msvc_arch_flag = '/arch:AVX2'
# Preferences
prefs.register_preferences(
'codegen.cpp',
'C++ compilation preferences',
def get_node_info_for_current_machine():
# TODO
return NodeInfo(cpuinfo.get_cpu_info()['brand'], '4 GB')
def get_server_usage_stats(agent):
yield From(agent.run_event.wait())
config = agent.config['metrics']
logger.info('starting "get_server_usage" task for "%s"', hostname)
prev_stats = psutil.disk_io_counters(perdisk=True)
prev_io_counters = psutil.net_io_counters(pernic=True)
disk_partitions = psutil.disk_partitions()
partition_mountpoint = dict()
partitions = set()
included_partitions = [part.device for part in disk_partitions]
for dp in disk_partitions:
if included_partitions and dp.device not in included_partitions:
continue
partitions.add(dp.device)
partition_mountpoint[dp.device] = dp.mountpoint
while agent.run_event.is_set():
yield From(asyncio.sleep(frequency))
try:
#OpenStack processes
the_processes = ['nova-novncproxy', 'nova-cert', 'nova-compute', 'nova-conductor', 'nova-api', 'neutron-openvswitch-agent', 'neutron-l3-agent', 'neutron-dhcp-agent', 'nova-scheduler', 'neutron-server', 'neutron-metadata-agent']
the_processes_to_check = ['nova-novncproxy', 'nova-cert', 'nova-compute', 'nova-conductor', 'nova-api', 'neutron-openvswitch-agent', 'neutron-l3-agent', 'neutron-dhcp-agent', 'nova-scheduler', 'neutron-server', 'neutron-metadata-agent']
cpu_percent = psutil.cpu_percent(interval=None)
memory = psutil.virtual_memory()
swap = psutil.swap_memory()
loadavg = os.getloadavg()
data = {'server_name': hostname, 'measurements': [], 'stats':{'platform': {}, 'hardware': {}, 'openstack': {}}}
#data['measurements'].append({'name': 'cpu.total', 'value': psutil.cpu_count()})
data['measurements'].append({'name': 'cpu.percent', 'value': cpu_percent})
#data['measurements'].append({'name': 'memory.total', 'value': memory.total})
data['measurements'].append({'name': 'memory.available', 'value': memory.available})
data['measurements'].append({'name': 'memory.percent', 'value': memory.percent})
data['measurements'].append({'name': 'memory.used', 'value': memory.used})
data['measurements'].append({'name': 'memory.free', 'value': memory.free})
#data['measurements'].append({'name': 'swap.total', 'value': swap.total})
data['measurements'].append({'name': 'swap.used', 'value': swap.used})
data['measurements'].append({'name': 'swap.free', 'value': swap.free})
data['measurements'].append({'name': 'swap.percent', 'value': swap.percent})
data['measurements'].append({'name': 'loadavg.1', 'value': loadavg[0]})
data['measurements'].append({'name': 'loadavg.5', 'value': loadavg[1]})
data['measurements'].append({'name': 'loadavg.15', 'value': loadavg[2]})
curr_stats = psutil.disk_io_counters(perdisk=True)
include_disks = None
include_disks = [part.device for part in disk_partitions]
for disk in curr_stats:
if include_disks and disk not in include_disks:
continue
curr = curr_stats[disk]
prev = prev_stats[disk]
data['measurements'].append({'name': 'disk_io.read_count', 'tags': {'disk': disk}, 'value': curr.read_count - prev.read_count})
data['measurements'].append({'name': 'disk_io.write_count', 'tags': {'disk': disk}, 'value': curr.write_count - prev.write_count})
data['measurements'].append({'name': 'disk_io.read_bytes', 'tags': {'disk': disk}, 'value': curr.read_bytes - prev.read_bytes})
data['measurements'].append({'name': 'disk_io.write_bytes', 'tags': {'disk': disk}, 'value': curr.write_bytes - prev.write_bytes})
data['measurements'].append({'name': 'disk_io.read_time', 'tags': {'disk': disk}, 'value': curr.read_time - prev.read_time})
data['measurements'].append({'name': 'disk_io.write_time', 'tags': {'disk': disk}, 'value': curr.write_time - prev.write_time})
prev_stats = curr_stats
for partition in partitions:
disk_data = psutil.disk_usage(partition_mountpoint[partition])
data['measurements'].append({'name': 'partition_usage.total', 'tags': {'partition': partition}, 'value': disk_data.total})
data['measurements'].append({'name': 'partition_usage.used', 'tags': {'partition': partition}, 'value': disk_data.used})
data['measurements'].append({'name': 'partition_usage.free', 'tags': {'partition': partition}, 'value': disk_data.free})
data['measurements'].append({'name': 'partition_usage.percent', 'tags': {'partition': partition}, 'value': disk_data.percent})
curr_io_counters = psutil.net_io_counters(pernic=True)
for interface in curr_io_counters:
try:
curr = curr_io_counters[interface]
except:
curr = 0
try:
prev = prev_io_counters[interface]
except:
prev = 0
if curr and hasattr(curr, 'bytes_sent'):
curr_bytes_sent = curr.bytes_sent
else:
curr_bytes_sent = 0
if curr and hasattr(curr, 'bytes_recv'):
curr_bytes_recv = curr.bytes_recv
else:
curr_bytes_recv = 0
if prev and hasattr(prev, 'bytes_sent'):
prev_bytes_sent = prev.bytes_sent
else:
prev_bytes_sent = 0
if prev and hasattr(prev, 'bytes_recv'):
prev_bytes_recv = prev.bytes_recv
else:
prev_bytes_recv = 0
if curr and hasattr(curr, 'packets_sent'):
curr_packets_sent = curr.packets_sent
else:
curr_packets_sent = 0
if curr and hasattr(curr, 'packets_recv'):
curr_packets_recv = curr.packets_recv
else:
curr_packets_recv = 0
if prev and hasattr(prev, 'packets_sent'):
prev_packets_sent = prev.packets_sent
else:
prev_packets_sent = 0
if prev and hasattr(prev, 'packets_recv'):
prev_packets_recv = prev.packets_recv
else:
prev_packets_recv = 0
if curr and hasattr(curr, 'errin'):
curr_errin = curr.errin
else:
curr_errin = 0
if curr and hasattr(curr, 'errout'):
curr_errout = curr.errout
else:
curr_errout = 0
if prev and hasattr(prev, 'errin'):
prev_errin = prev.errin
else:
prev_errin = 0
if prev and hasattr(prev, 'errout'):
prev_errout = prev.errout
else:
prev_errout = 0
if curr and hasattr(curr, 'dropin'):
curr_dropin = curr.dropin
else:
curr_dropin = 0
if curr and hasattr(curr, 'dropout'):
curr_dropout = curr.dropout
else:
curr_dropout = 0
if prev and hasattr(prev, 'dropin'):
prev_dropin = prev.dropin
else:
prev_dropin = 0
if prev and hasattr(prev, 'dropout'):
prev_dropout = prev.dropout
else:
prev_dropout = 0
data['measurements'].append({'name': 'net_io.bytes_sent', 'tags': {'interface': interface}, 'value': curr_bytes_sent - prev_bytes_sent})
data['measurements'].append({'name': 'net_io.bytes_recv', 'tags': {'interface': interface}, 'value': curr_bytes_recv - prev_bytes_recv})
data['measurements'].append({'name': 'net_io.packets_sent', 'tags': {'interface': interface}, 'value': curr_packets_sent - prev_packets_sent})
data['measurements'].append({'name': 'net_io.packets_recv', 'tags': {'interface': interface}, 'value': curr_packets_recv - prev_packets_recv})
data['measurements'].append({'name': 'net_io.errin', 'tags': {'interface': interface}, 'value': curr_errin - prev_errin})
data['measurements'].append({'name': 'net_io.errout', 'tags': {'interface': interface}, 'value': curr_errout - prev_errout})
data['measurements'].append({'name': 'net_io.dropin', 'tags': {'interface': interface}, 'value': curr_dropin - prev_dropin})
data['measurements'].append({'name': 'net_io.dropout', 'tags': {'interface': interface}, 'value': curr_dropout - prev_dropout})
server_stats = platform.dist()
data['stats']['platform']['dist'] = platform.dist()[0] + ' ' + platform.dist()[1] + ' ' + platform.dist()[2]
data['stats']['platform']['kernel'] = platform.uname()[2]
data['stats']['platform']['architecture'] = platform.architecture()[0]
cpu_hw = cpuinfo.get_cpu_info()
data['stats']['platform']['processor'] = {}
data['stats']['platform']['processor']['qty'] = psutil.cpu_count()
data['stats']['platform']['processor']['brand'] = cpuinfo.get_cpu_info()['brand']
data['stats']['platform']['processor']['count'] = cpuinfo.get_cpu_info()['count']
data['stats']['platform']['processor']['flags'] = cpuinfo.get_cpu_info()['flags']
data['stats']['platform']['memory'] = {}
data['stats']['platform']['memory']['total'] = memory.total
data['stats']['platform']['swap'] = {}
data['stats']['platform']['swap']['total'] = swap.total
processes = the_processes
processes_to_check = the_processes_to_check
try:
p = subprocess.Popen(["nova-manage", "version"], stdout=subprocess.PIPE)
version = p.communicate()[0]
if version:
data['stats']['openstack']['version'] = version.strip()
except Exception, e:
pass
for p in psutil.process_iter():
try:
try:
process_name = p.name()
except:
process_name = p.name
process_found = False
result = False
result = [process_found for process_found in processes_to_check if process_name in process_found]
if len(result) > 0:
process_name = result[0]
if p.is_running():
is_running = 1
else:
is_running = 0
data['measurements'].append({'name': 'openstack.processes.'+process_name+'.'+'cpu_percent', 'value': p.cpu_percent()})
data['measurements'].append({'name': 'openstack.processes.'+process_name+'.'+'memory_percent', 'value': p.memory_percent()})
data['measurements'].append({'name': 'openstack.processes.'+process_name+'.'+'num_threads', 'value': p.num_threads()})
data['measurements'].append({'name': 'openstack.processes.'+process_name+'.'+'is_running', 'value': is_running})
#data['measurements'].append({'name': 'openstack.processes.'+process_name+'.'+'create_time', 'value': create_time})
if p.is_running() and p.status != psutil.STATUS_ZOMBIE:
process_status = 1
else:
process_status = 0
data['measurements'].append({'name': 'openstack.processes.'+process_name+'.'+'up', 'tags': {'status': p.status()} ,'value': process_status})
logger.info('OUTPUT - %s', 'openstack.processes.'+process_name+'.'+'up')
processes_to_check.remove(process_name)
except psutil.Error:
pass
for process in processes_to_check:
data['measurements'].append({'name': 'openstack.processes.'+process+'.'+'up', 'tags': {'status': 'down'}, 'value': 0})
# OpenStack Nova API
if agent._config['openstack_credentials']['user'] and agent._config['openstack_credentials']['password'] and agent._config['openstack_credentials']['project'] and agent._config['openstack_credentials']['auth_url']:
nova = client.Client(agent.nova_api_version, agent._config['openstack_credentials']['user'], agent._config['openstack_credentials']['password'], agent._config['openstack_credentials']['project'], agent._config['openstack_credentials']['auth_url'])
if nova:
#nova services
try:
services = nova.services.list()
for service in services:
status = 1 if service.state == 'up' else 0
data['measurements'].append({'name': 'openstack.nova-api.services.'+service.binary+'.'+'status', 'value': status})
except Exception, e:
pass
#availability zones
try:
avalability_zones = nova.availability_zones.list(True)
for availability_zone in avalability_zones:
status = 1 if availability_zone.zoneState['available'] is True else 0
data['measurements'].append({'name': 'openstack.nova-api.avalability_zones.status', 'tags': {'availability_zone': availability_zone.zoneName}, 'value': status})
except Exception, e:
pass
#hypervisor stats
hypervisor_keys = {'count', 'current_workload', 'disk_available_least', 'free_disk_gb', 'free_ram_mb', 'local_gb', 'local_gb_used', 'memory_mb', 'memory_mb_used', 'running_vms', 'vcpus', 'vcpus_used'}
try:
stats = nova.hypervisor_stats.statistics()
for key_name in hypervisor_keys:
if hasattr(stats, key_name):
data['measurements'].append({'name': 'openstack.nova-api.hypervisor_total.'+key_name, 'value': getattr(stats, key_name)})
if hasattr(stats, 'vcpus') and hasattr(stats, 'vcpus_used'):
data['measurements'].append({'name': 'openstack.nova-api.hypervisor_total.vcpus_percent', 'value': round(100 * float(stats.vcpus_used)/float(stats.vcpus), 2)})
if hasattr(stats, 'local_gb') and hasattr(stats, 'local_gb_used'):
data['measurements'].append({'name': 'openstack.nova-api.hypervisor_total.local_gb_percent', 'value': round(100 * float(stats.local_gb_used)/float(stats.local_gb), 2)})
if hasattr(stats, 'memory_mb') and hasattr(stats, 'memory_mb_used'):
data['measurements'].append({'name': 'openstack.nova-api.hypervisor_total.memory_mb_percent', 'value': round(100 * float(stats.memory_mb_used)/float(stats.memory_mb), 2)})
except Exception, e:
pass
#server stats
try:
servers = nova.servers.list()
for server in servers:
value = agent.openstack_status[server.status]
if not value:
value = -1
data['measurements'].append({'name': 'openstack.nova-api.servers', 'tags': {'name': server.name, 'id': server.id, 'tenant_id': server.tenant_id, 'status': server.status}, 'value': value})
except Exception, e:
pass
def cpu_info():
info = cpuinfo.get_cpu_info()
return info['brand_raw']