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git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@14328 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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@ -39,7 +39,8 @@ scripts in the examples sub-directory:
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trivial.py read/run a LAMMPS input script thru Python
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demo.py invoke various LAMMPS library interface routines
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simple.py mimic operation of examples/COUPLE/simple/simple.cpp
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simple.py parallel example, mimicing examples/COUPLE/simple/simple.cpp
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split.py parallel example
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mc.py Monte Carlo energy relaxation wrapper on LAMMPS
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gui.py GUI go/stop/temperature-slider to control LAMMPS
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plot.py real-time temeperature plot with GnuPlot via Pizza.py
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@ -77,30 +78,53 @@ The latter link is to the open-source version.
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-------------------------------------------------------------------
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Each example script has more documentation in the file that explains
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how to use it and what it is doing.
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You can run a particular script in either of the following ways:
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% trivial.py in.trivial
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% python -i trivial.py in.trivial
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The former assumes that you have changed the first line of the script
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to point to the Python installed on your box.
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to point to the Python installed on your box and made the script
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exectable (e.g. chmod +x trivial.py).
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Run the Python scripts with the following LAMMPS input scripts and
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arguments:
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The example scripts take the following arguments. The in.* args are
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LAMPS input scripts.
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trivial.py in.trivial
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demo.py
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simple.py in.simple
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simple.py in.simple # can run in parallel (see below)
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split.py in.simple # can run in parallel (see below)
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gui.py in.gui 100
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plot.py in.plot 10 1000 thermo_temp
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viz_tool.py in.viz 100 5000
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vizplotgui_tool.py in.viz 100 thermo_temp
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You can un-comment the Pypar calls if you want to run these in
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parallel. Then, for example, you can type:
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To run LAMMPS in parallel from Python, so something like this:
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% mpirun -np 4 simple.py in.simple
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% mpirun -np 4 python split.py in.simple
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If you run simple.py as-is, this will invoke P instances of a
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one-processor run, where both Python and LAMMPS will run on single
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processors. Each running job will read the same input file, and write
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to same log.lammps file, which isn't too useful.
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However, if you have either the Pypar or mpi4py packages installed in
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your Python, and uncomment the Pypar or mpi4py code in simple.py, then
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the above commands will invoke 1 instance of a P-processor run. Both
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Python and LAMMPS will run on P processors. The job will read the
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input file and write a single log.lammps file.
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The split.py script can also be run in parallel. It uses mpi4py
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version 2.0.0 (or later), which makes it possible to pass a
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communicator when creating the LAMMPS object and thus run multiple
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instances of LAMMPS at the same time, each on a different subset of
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MPI ranks. Or run LAMMPS on one subset and some other program on the
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rest of the MPI ranks, concurrently. See comments in the split.py
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script for more details.
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% mpirun -np 4 trivial.py in.trivial
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% mpirun -np 4 python trivial.py in.trivial
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Each script has more documentation in the file that explains how to
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use it and what it is doing.
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@ -19,9 +19,24 @@ from os.path import dirname,abspath,join
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from inspect import getsourcefile
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class lammps:
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def __init__(self,name="",cmdargs=None,ptr=None):
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# detect if Python is using version of mpi4py that can pass a communicator
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has_mpi4py_v2 = False
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try:
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from mpi4py import MPI
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from mpi4py import __version__ as mpi4py_version
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if mpi4py_version.split('.')[0] == '2':
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has_mpi4py_v2 = True
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except:
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pass
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# create instance of LAMMPS
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def __init__(self,name="",cmdargs=None,ptr=None,comm=None):
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# determine module location
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modpath = dirname(abspath(getsourcefile(lambda:0)))
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# load liblammps.so by default
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@ -37,6 +52,7 @@ class lammps:
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# if no ptr provided, create an instance of LAMMPS
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# don't know how to pass an MPI communicator from PyPar
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# but we can pass an MPI communicator from mpi4py v2.0.0 and later
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# no_mpi call lets LAMMPS use MPI_COMM_WORLD
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# cargs = array of C strings from args
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# if ptr, then are embedding Python in LAMMPS input script
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@ -44,18 +60,49 @@ class lammps:
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# just convert it to ctypes ptr and store in self.lmp
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if not ptr:
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self.opened = 1
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if cmdargs:
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cmdargs.insert(0,"lammps.py")
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narg = len(cmdargs)
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cargs = (c_char_p*narg)(*cmdargs)
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# with mpi4py v2, can pass MPI communicator to LAMMPS
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# need to adjust for type of MPI communicator object
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# allow for int (like MPICH) or void* (like OpenMPI)
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if lammps.has_mpi4py_v2 and comm != None:
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if lammps.MPI._sizeof(lammps.MPI.Comm) == sizeof(c_int):
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MPI_Comm = c_int
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else:
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MPI_Comm = c_void_p
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narg = 0
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cargs = 0
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if cmdargs:
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cmdargs.insert(0,"lammps.py")
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narg = len(cmdargs)
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cargs = (c_char_p*narg)(*cmdargs)
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self.lib.lammps_open.argtypes = [c_int, c_char_p*narg, \
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MPI_Comm, c_void_p()]
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else:
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self.lib.lammps_open.argtypes = [c_int, c_int, \
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MPI_Comm, c_void_p()]
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self.lib.lammps_open.restype = None
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self.opened = 1
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self.lmp = c_void_p()
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self.lib.lammps_open_no_mpi(narg,cargs,byref(self.lmp))
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comm_ptr = lammps.MPI._addressof(comm)
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comm_val = MPI_Comm.from_address(comm_ptr)
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self.lib.lammps_open(narg,cargs,comm_val,byref(self.lmp))
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else:
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self.lmp = c_void_p()
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self.lib.lammps_open_no_mpi(0,None,byref(self.lmp))
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# could use just this if LAMMPS lib interface supported it
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# self.lmp = self.lib.lammps_open_no_mpi(0,None)
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self.opened = 1
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if cmdargs:
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cmdargs.insert(0,"lammps.py")
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narg = len(cmdargs)
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cargs = (c_char_p*narg)(*cmdargs)
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self.lmp = c_void_p()
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self.lib.lammps_open_no_mpi(narg,cargs,byref(self.lmp))
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else:
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self.lmp = c_void_p()
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self.lib.lammps_open_no_mpi(0,None,byref(self.lmp))
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# could use just this if LAMMPS lib interface supported it
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# self.lmp = self.lib.lammps_open_no_mpi(0,None)
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else:
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self.opened = 0
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# magic to convert ptr to ctypes ptr
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