def init(logfile=__logfile):
if mode != 'tracing':
return
mpi4py.profile(name='mpe', logfile=logfile)
mpi4py.MPI.Pcontrol(1)
MPE.initLog(logfile=logfile)
MPE.setLogFileName(logfile)
def main(args=None):
"Entry-point for ``python -m mpi4py``"
from optparse import OptionParser
from mpi4py import __name__ as prog
from mpi4py import __version__ as version
parser = OptionParser(prog=prog,
version='%prog ' + version,
usage="%prog [options] <command> [args]")
parser.add_option("--no-threads",
action="store_false",
dest="threads",
default=True,
help="initialize MPI without thread support")
parser.add_option("--thread-level",
type="choice",
metavar="LEVEL",
choices=["single", "funneled", "serialized", "multiple"],
action="store",
dest="thread_level",
default="multiple",
help="initialize MPI with required thread support")
parser.add_option("--mpe",
action="store_true",
dest="mpe",
default=False,
help="use MPE for MPI profiling")
parser.add_option("--vt",
action="store_true",
dest="vt",
default=False,
help="use VampirTrace for MPI profiling")
parser.disable_interspersed_args()
(options, args) = parser.parse_args(args)
import mpi4py
mpi4py.rc.threads = options.threads
mpi4py.rc.thread_level = options.thread_level
if options.mpe:
mpi4py.profile('mpe', logfile='mpi4py')
if options.vt:
mpi4py.profile('vt', logfile='mpi4py')
from mpi4py import MPI
comm = MPI.COMM_WORLD
if not args:
if comm.rank == 0:
parser.print_usage()
parser.exit()
command = args.pop(0)
if command not in main.commands:
if comm.rank == 0:
parser.error("unknown command '%s'" % command)
parser.exit(2)
command = main.commands[command]
command(comm, args=args)
parser.exit()
def main(args=None):
from optparse import OptionParser
from mpi4py import __name__ as prog
from mpi4py import __version__ as version
parser = OptionParser(prog=prog, version='%prog ' + version,
usage="%prog [options] <command> [args]")
parser.add_option("--no-threads",
action="store_false", dest="threaded", default=True,
help="initialize MPI without thread support")
parser.add_option("--thread-level", type="choice", metavar="LEVEL",
choices=["single", "funneled", "serialized", "multiple"],
action="store", dest="thread_level", default="multiple",
help="initialize MPI with required thread support")
parser.add_option("--mpe",
action="store_true", dest="mpe", default=False,
help="use MPE for MPI profiling")
parser.add_option("--vt",
action="store_true", dest="vt", default=False,
help="use VampirTrace for MPI profiling")
parser.disable_interspersed_args()
(options, args) = parser.parse_args(args)
#
import mpi4py
mpi4py.rc.threaded = options.threaded
mpi4py.rc.thread_level = options.thread_level
if options.mpe:
mpi4py.profile('mpe', logfile='mpi4py')
if options.vt:
mpi4py.profile('vt', logfile='mpi4py')
#
from mpi4py import MPI
comm = MPI.COMM_WORLD
if not args:
if comm.rank == 0:
parser.print_usage()
parser.exit()
command = args.pop(0)
if command not in _commands:
if comm.rank == 0:
parser.error("unknown command '%s'" % command)
parser.exit(2)
command = _commands[command]
command(comm, args=args)
parser.exit()
#!/usr/bin/env python
# If you want MPE to log MPI calls, you have to add the two lines
# below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.profile('mpe', logfile='cpilog')
# Import the MPI extension module
from mpi4py import MPI
if 0: # <- use '1' to disable logging of MPI calls
MPI.Pcontrol(0)
# Import the 'array' module
from array import array
# This is just to make the logging
# output a bit more interesting
from time import sleep
comm = MPI.COMM_WORLD
nprocs = comm.Get_size()
myrank = comm.Get_rank()
n = array('i', [0])
pi = array('d', [0])
mypi = array('d', [0])
def comp_pi(n, myrank=0, nprocs=1):
h = 1.0 / n
s = 0.0
#!/usr/bin/env python
import os
os.environ['MPE_LOGFILE_PREFIX'] = 'ring'
import mpi4py
mpi4py.profile('mpe')
from mpi4py import MPI
from array import array
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
src = rank-1
dest = rank+1
if rank == 0:
src = size-1
if rank == size-1:
dest = 0
try:
from numpy import zeros
a1 = zeros(1000000, 'd')
a2 = zeros(1000000, 'd')
except ImportError:
from array import array
a1 = array('d', [0]*1000); a1 *= 1000
a2 = array('d', [0]*1000); a2 *= 1000
comm.Sendrecv(sendbuf=a1, recvbuf=a2,
source=src, dest=dest)
def mpi4py_profile(*args, **kwargs):
try:
mpi4py.profile(*args, **kwargs)
except ValueError:
pass
import sys; sys.path.insert(0, sys.argv[1])
import mpi4py
if len(sys.argv) > 2:
lfn = "runtests-mpi4py-child"
mpe = sys.argv[2] == 'mpe'
vt = sys.argv[2] == 'vt'
if mpe: mpi4py.profile('mpe', logfile=lfn)
if vt: mpi4py.profile('vt', logfile=lfn)
from mpi4py import MPI
parent = MPI.Comm.Get_parent()
parent.Barrier()
parent.Disconnect()
assert parent == MPI.COMM_NULL
parent = MPI.Comm.Get_parent()
assert parent == MPI.COMM_NULL
mpi4py.rc(
initialize=True,
threads=True,
thread_level='multiple',
finalize=None,
fast_reduce=True,
recv_mprobe=True,
errors='exception',
)
try:
mpi4py.rc(querty=False)
except TypeError:
pass
import mpi4py
mpi4py.profile()
mpi4py.profile('mpe')
mpi4py.profile('mpe', path="/usr/lib")
mpi4py.profile('mpe', path=["/usr/lib"])
mpi4py.profile('mpe', logfile="mpi4py")
mpi4py.profile('mpe', logfile="mpi4py")
mpi4py.profile('vt')
mpi4py.profile('vt', path="/usr/lib")
mpi4py.profile('vt', path=["/usr/lib"])
mpi4py.profile('vt', logfile="mpi4py")
mpi4py.profile('vt', logfile="mpi4py")
try:
mpi4py.profile('@querty')
except ValueError:
pass
#!/usr/bin/env python
import mpi4py
mpi4py.rc.threads = True
mpi4py.rc.thread_level = "funneled"
mpi4py.profile('vt-hyb', logfile='threads')
from mpi4py import MPI
from threading import Thread
MPI.COMM_WORLD.Barrier()
# Understanding the Python GIL
# David Beazley, http://www.dabeaz.com
# PyCon 2010, Atlanta, Georgia
# http://www.dabeaz.com/python/UnderstandingGIL.pdf
# Consider this trivial CPU-bound function
def countdown(n):
while n > 0:
n -= 1
# Run it once with a lot of work
COUNT = 10000000 # 10 millon
tic = MPI.Wtime()
countdown(COUNT)
toc = MPI.Wtime()
print ("sequential: %f seconds" % (toc-tic))
# Now, subdivide the work across two threads
t1 = Thread(target=countdown, args=(COUNT//2,))
#!/usr/bin/env python
# If you want VampirTrace to log MPI calls, you have to add the two
# lines below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.rc.threads = False
mpi4py.profile('vt', logfile='cpilog')
# Import the MPI extension module
from mpi4py import MPI
# Import the 'array' module
from array import array
# This is just to make the logging
# output a bit more interesting
from time import sleep
comm = MPI.COMM_WORLD
nprocs = comm.Get_size()
myrank = comm.Get_rank()
n = array('i', [0])
pi = array('d', [0])
mypi = array('d', [0])
def comp_pi(n, myrank=0, nprocs=1):
h = 1.0 / n
s = 0.0
for i in range(myrank + 1, n + 1, nprocs):
# ring_mpe.py
"""
Demonstrates mpi4py profiling with MPE.
Run this with 8 processes like:
$ mpiexec -n 8 python ring_mpe.py
"""
import os
#os.environ['MPE_LOGFILE_PREFIX'] = 'ring'
import mpi4py
#mpi4py.profile('mpe')
# or
mpi4py.profile('mpe', logfile='ring')
from mpi4py import MPI
from array import array
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
src = rank - 1
dest = rank + 1
if rank == 0:
src = size - 1
if rank == size - 1:
dest = 0
try:
from numpy import zeros
# ring_mpe.py
"""
Demonstrates mpi4py profiling with MPE.
Run this with 8 processes like:
$ mpiexec -n 8 python ring_mpe.py
"""
import os
os.environ['MPE_LOGFILE_PREFIX'] = 'ring'
import mpi4py
mpi4py.profile('mpe')
# or
# mpi4py.profile('mpe', logfile='ring')
from mpi4py import MPI
from array import array
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
src = rank - 1
dest = rank + 1
if rank == 0:
src = size - 1
if rank == size - 1:
dest = 0
try:
from numpy import zeros
import sys
sys.path.insert(0, sys.argv[1])
import mpi4py
if len(sys.argv) > 2:
lfn = "runtests-mpi4py-child"
mpe = sys.argv[2] == 'mpe'
vt = sys.argv[2] == 'vt'
if mpe: mpi4py.profile('mpe', logfile=lfn)
if vt: mpi4py.profile('vt', logfile=lfn)
from mpi4py import MPI
parent = MPI.Comm.Get_parent()
parent.Barrier()
parent.Disconnect()
assert parent == MPI.COMM_NULL
parent = MPI.Comm.Get_parent()
assert parent == MPI.COMM_NULL
import sys
import mpi4py
mpi4py.profile('mpe', logfile='threads')
from mpi4py import MPI
from array import array
try:
import threading
except ImportError:
sys.stderr.write("threading module not available\n")
sys.exit(0)
send_msg = array('i', [7]*1000); send_msg *= 1000
recv_msg = array('i', [0]*1000); recv_msg *= 1000
def self_send(comm, rank):
comm.Send([send_msg, MPI.INT], dest=rank, tag=0)
def self_recv(comm, rank):
comm.Recv([recv_msg, MPI.INT], source=rank, tag=0)
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
send_thread = threading.Thread(target=self_send, args=(comm, rank))
recv_thread = threading.Thread(target=self_recv, args=(comm, rank))
send_thread.start()
recv_thread.start()
recv_thread.join()
#!/usr/bin/env python
# If you want VampirTrace to log MPI calls, you have to add the two
# lines below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.rc.threads = False
mpi4py.profile('vt', logfile='cpilog')
# Import the MPI extension module
from mpi4py import MPI
# Import the 'array' module
from array import array
# This is just to make the logging
# output a bit more interesting
from time import sleep
comm = MPI.COMM_WORLD
nprocs = comm.Get_size()
myrank = comm.Get_rank()
n = array('i', [0])
pi = array('d', [0])
mypi = array('d', [0])
def comp_pi(n, myrank=0, nprocs=1):
h = 1.0 / n;
s = 0.0;
for i in range(myrank + 1, n + 1, nprocs):
x = h * (i - 0.5);
import sys
import mpi4py
mpi4py.profile('MPE', logfile='threads')
from mpi4py import MPI
from array import array
try:
import threading
except ImportError:
sys.stderr.write("threading module not available\n")
sys.exit(0)
send_msg = array('i', [7] * 1000)
send_msg *= 1000
recv_msg = array('i', [0] * 1000)
recv_msg *= 1000
def self_send(comm, rank):
comm.Send([send_msg, MPI.INT], dest=rank, tag=0)
def self_recv(comm, rank):
comm.Recv([recv_msg, MPI.INT], source=rank, tag=0)
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
send_thread = threading.Thread(target=self_send, args=(comm, rank))
recv_thread = threading.Thread(target=self_recv, args=(comm, rank))
#!/usr/bin/env python
if False:
import mpi4py
name = "name" # lib{name}.so
path = []
mpi4py.profile(name, path=path)
from mpi4py import MPI
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
src = rank - 1
dest = rank + 1
if rank == 0:
src = size - 1
if rank == size - 1:
dest = 0
try:
from numpy import zeros
a1 = zeros(1000000, 'd')
a2 = zeros(1000000, 'd')
except ImportError:
from array import array
a1 = array('d', [0] * 1000)
a1 *= 1000
a2 = array('d', [0] * 1000)
a2 *= 1000
#!/usr/bin/env python
from __future__ import with_statement # Python 2.5 and later
# If you want MPE to log MPI calls, you have to add the two lines
# below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.profile('MPE', logfile='cpilog')
# Import the MPI extension module
from mpi4py import MPI
if 0: # <- use '1' to disable logging of MPI calls
MPI.Pcontrol(0)
# Import the MPE extension module
from mpi4py import MPE
if 1: # <- use '0' to disable user-defined logging
# This has to be explicitly called !
MPE.initLog(logfile='cpilog')
# Set the log file name (note: no extension)
MPE.setLogFileName('cpilog')
# Import the 'array' module
from array import array
# This is just to make the logging
# output a bit more interesting
from time import sleep
# User-defined MPE events
cpi_begin = MPE.newLogEvent("ComputePi-Begin", "yellow")
cpi_end = MPE.newLogEvent("ComputePi-End", "pink")
#!/usr/bin/env python
# If you want MPE to log MPI calls, you have to add the two lines
# below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.profile('mpe', logfile='cpilog')
# Import the MPI extension module
from mpi4py import MPI
if 0: # <- use '1' to disable logging of MPI calls
MPI.Pcontrol(0)
# Import the 'array' module
from array import array
# This is just to make the logging
# output a bit more interesting
from time import sleep
comm = MPI.COMM_WORLD
nprocs = comm.Get_size()
myrank = comm.Get_rank()
n = array('i', [0])
pi = array('d', [0])
mypi = array('d', [0])
def comp_pi(n, myrank=0, nprocs=1):
h = 1.0 / n;
s = 0.0;
for i in range(myrank + 1, n + 1, nprocs):
#!/usr/bin/env python
# If you want VampirTrace to log MPI calls, you have to add the two
# lines below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.rc.threads = False
mpi4py.profile('vt-mpi', logfile='ring')
from mpi4py import MPI
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
src = rank - 1
dest = rank + 1
if rank == 0:
src = size - 1
if rank == size - 1:
dest = 0
try:
from numpy import zeros
a1 = zeros(1000000, 'd')
a2 = zeros(1000000, 'd')
except ImportError:
from array import array
a1 = array('d', [0] * 1000)
a1 *= 1000
a2 = array('d', [0] * 1000)
a2 *= 1000
def mpi4py_profile(*args, **kargs):
try: mpi4py.profile(*args, **kargs)
except ValueError: pass
#!/usr/bin/env python
from __future__ import with_statement # Python 2.5 and later
# If you want MPE to log MPI calls, you have to add the two lines
# below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.profile('MPE', logfile='cpilog')
# Import the MPI extension module
from mpi4py import MPI
if 0: # <- use '1' to disable logging of MPI calls
MPI.Pcontrol(0)
# Import the MPE extension module
from mpi4py import MPE
if 1: # <- use '0' to disable user-defined logging
# This has to be explicitly called !
MPE.initLog(logfile='cpilog')
# Set the log file name (note: no extension)
MPE.setLogFileName('cpilog')
# Import the 'array' module
from array import array
# This is just to make the logging
# output a bit more interesting
from time import sleep
# User-defined MPE events
cpi_begin = MPE.newLogEvent("ComputePi-Begin", "yellow")
import sys
import mpi4py
mpi4py.profile('MPE', logfile='threads')
from mpi4py import MPI
from array import array
try:
import threading
except ImportError:
sys.stderr.write("threading module not available\n")
sys.exit(0)
send_msg = array('i', [7]*1000); send_msg *= 1000
recv_msg = array('i', [0]*1000); recv_msg *= 1000
def self_send(comm, rank):
comm.Send([send_msg, MPI.INT], dest=rank, tag=0)
def self_recv(comm, rank):
comm.Recv([recv_msg, MPI.INT], source=rank, tag=0)
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
send_thread = threading.Thread(target=self_send, args=(comm, rank))
recv_thread = threading.Thread(target=self_recv, args=(comm, rank))
send_thread.start()
recv_thread.start()
recv_thread.join()
import mpi4py.rc
mpi4py.rc(
initialize = True,
threads = True,
thread_level = 'multiple',
finalize = None,
fast_reduce = True,
recv_mprobe = True,
errors = 'exception',
)
try: mpi4py.rc(querty=False)
except TypeError: pass
import mpi4py
mpi4py.profile()
mpi4py.profile('mpe')
mpi4py.profile('mpe', path="/usr/lib")
mpi4py.profile('mpe', path=["/usr/lib"])
mpi4py.profile('mpe', logfile="mpi4py")
mpi4py.profile('mpe', logfile="mpi4py")
mpi4py.profile('vt')
mpi4py.profile('vt', path="/usr/lib")
mpi4py.profile('vt', path=["/usr/lib"])
mpi4py.profile('vt', logfile="mpi4py")
mpi4py.profile('vt', logfile="mpi4py")
try: mpi4py.profile('@querty')
except ValueError: pass
import mpi4py.__main__
def testProfile(self):
import struct
import sysconfig
bits = struct.calcsize('P') * 8
triplet = sysconfig.get_config_var('MULTIARCH') or ''
libpath = [
f"{prefix}{suffix}" for prefix in ("/lib", "/usr/lib")
for suffix in (bits, f"/{triplet}", "")
]
fspath = (os.fsencode, os.fsdecode, pathlib.Path)
libraries = (
'c',
'libc.so.6',
'm',
'libm.so.6',
'dl',
'libdl.so.2',
)
def mpi4py_profile(*args, **kwargs):
try:
mpi4py.profile(*args, **kwargs)
except ValueError:
pass
if os.name != 'posix':
with warnings.catch_warnings():
warnings.simplefilter('error')
with self.assertRaises(UserWarning):
mpi4py.profile(MPI.__file__)
return
with warnings.catch_warnings():
warnings.simplefilter('ignore')
for libname in libraries:
mpi4py_profile(libname, path=libpath)
for fs in fspath:
mpi4py_profile(libname, path=map(fs, libpath))
for path in libpath:
mpi4py_profile(libname, path=path)
for fsp in fspath:
mpi4py_profile(libname, path=fsp(path))
warnings.simplefilter('error')
with self.assertRaises(UserWarning):
mpi4py.profile('hosts', path=["/etc"])
with self.assertRaises(ValueError):
mpi4py.profile('@querty')
with self.assertRaises(ValueError):
mpi4py.profile('@querty', path="/usr/lib")
with self.assertRaises(ValueError):
mpi4py.profile('@querty', path=["/usr/lib"])
with self.assertRaises(ValueError):
mpi4py.profile('@querty')
#!/usr/bin/env python
import mpi4py
mpi4py.rc.threads = True
mpi4py.rc.thread_level = "funneled"
mpi4py.profile('vt-hyb', logfile='threads')
from mpi4py import MPI
from threading import Thread
MPI.COMM_WORLD.Barrier()
# Understanding the Python GIL
# David Beazley, http://www.dabeaz.com
# PyCon 2010, Atlanta, Georgia
# http://www.dabeaz.com/python/UnderstandingGIL.pdf
# Consider this trivial CPU-bound function
def countdown(n):
while n > 0:
n -= 1
# Run it once with a lot of work
COUNT = 10000000 # 10 millon
tic = MPI.Wtime()
countdown(COUNT)
toc = MPI.Wtime()
print("sequential: %f seconds" % (toc - tic))
import mpi4py
#mpi4py.profile('vt', logfile='ring')
mpi4py.profile('mpe', logfile='mpi')
import numpy as np
import os
import time
# import struct
# import matplotlib.pyplot as plt
import math
from mpi4py import MPI
from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument("--mode",
type=int,
default=0,
help="descrete:0, continuous:1")
args = parser.parse_args()
def readmnist(mnist_dir, mode='training'):
if mode == 'training':
image_dir = os.path.join(mnist_dir, 'train-images-idx3-ubyte')
label_dir = os.path.join(mnist_dir, 'train-labels-idx1-ubyte')
elif mode == 'testing':
image_dir = os.path.join(mnist_dir, 't10k-images-idx3-ubyte')
label_dir = os.path.join(mnist_dir, 't10k-labels-idx1-ubyte')
with open(image_dir, 'rb') as fimage:
#training: magic=2049, num=60000, row=28, col=28
magic, num, row, col = np.fromfile(fimage,
#!/usr/bin/env python
# If you want VampirTrace to log MPI calls, you have to add the two
# lines below at the very beginning of your main bootstrap script.
import mpi4py
mpi4py.rc.threads = False
mpi4py.profile('vt-mpi', logfile='ring')
from mpi4py import MPI
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
src = rank-1
dest = rank+1
if rank == 0:
src = size-1
if rank == size-1:
dest = 0
try:
from numpy import zeros
a1 = zeros(1000000, 'd')
a2 = zeros(1000000, 'd')
except ImportError:
from array import array
a1 = array('d', [0]*1000); a1 *= 1000
a2 = array('d', [0]*1000); a2 *= 1000
comm.Sendrecv(sendbuf=a1, recvbuf=a2,