63 lines
1.9 KiB
Python
Executable File
63 lines
1.9 KiB
Python
Executable File
#!/home/eljakim/Source/tegrax1_plus/source/Shofel2_T124_python/venv/bin/python3
|
|
#
|
|
# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
|
|
# Copyright (c) 2008-2016 California Institute of Technology.
|
|
# Copyright (c) 2016-2023 The Uncertainty Quantification Foundation.
|
|
# License: 3-clause BSD. The full license text is available at:
|
|
# - https://github.com/uqfoundation/dill/blob/master/LICENSE
|
|
'''
|
|
build profile graph for the given instance
|
|
|
|
running:
|
|
$ get_gprof <args> <instance>
|
|
|
|
executes:
|
|
gprof2dot -f pstats <args> <type>.prof | dot -Tpng -o <type>.call.png
|
|
|
|
where:
|
|
<args> are arguments for gprof2dot, such as "-n 5 -e 5"
|
|
<instance> is code to create the instance to profile
|
|
<type> is the class of the instance (i.e. type(instance))
|
|
|
|
For example:
|
|
$ get_gprof -n 5 -e 1 "import numpy; numpy.array([1,2])"
|
|
|
|
will create 'ndarray.call.png' with the profile graph for numpy.array([1,2]),
|
|
where '-n 5' eliminates nodes below 5% threshold, similarly '-e 1' eliminates
|
|
edges below 1% threshold
|
|
'''
|
|
|
|
import sys
|
|
# grab args for gprof2dot
|
|
args = sys.argv[1:-1]
|
|
args = ' '.join(args)
|
|
# last arg builds the object
|
|
obj = sys.argv[-1]
|
|
obj = obj.split(';')
|
|
# multi-line prep for generating an instance
|
|
for line in obj[:-1]:
|
|
exec(line)
|
|
# one-line generation of an instance
|
|
obj = eval(obj[-1])
|
|
|
|
# get object 'name'
|
|
objtype = type(obj)
|
|
name = getattr(objtype, '__name__', getattr(objtype, '__class__', objtype))
|
|
|
|
# profile dumping an object
|
|
import dill
|
|
import os
|
|
import cProfile
|
|
#name = os.path.splitext(os.path.basename(__file__))[0]
|
|
cProfile.run("dill.dumps(obj)", filename="%s.prof" % name)
|
|
msg = "gprof2dot -f pstats %s %s.prof | dot -Tpng -o %s.call.png" % (args, name, name)
|
|
os.system(msg)
|
|
|
|
# get stats
|
|
f_prof = "%s.prof" % name
|
|
import pstats
|
|
stats = pstats.Stats(f_prof, stream=sys.stdout)
|
|
stats.strip_dirs().sort_stats('cumtime')
|
|
stats.print_stats(20) #XXX: save to file instead of print top 20?
|
|
os.remove(f_prof)
|