Hi, every experts:
Recently I'm trying to move my old project from python to pypy. In the
past, I have do some optimizations for python interpreter. One Important thing
is modify python default integer object cache range(default is from -5 to 257),
my config is -100 to 1024 * 1024, this range covers most of the my app
logics. The benchmark shows that it saves a lot of memory , and speedup the
program(mainly benefits from avoiding large amount of creating intobject and
releasing intobject) .
BUT, in pypy, I found the withprebuiltint option is set off default. While I
tried open this option and add translateoption : --prebuiltintfrom -5
--prebuiltintfrom 1048576, the benchmark shows that it saves memory(OK, it's
expected), BUT the speed is SLOWER.
I check the pypy sourcecode, but I have not find out the problem so far. So,
my doubt is: why withprebuiltint option is off default? Maybe the performance
is a problem as known?
#############################################################################################
#test_speed4_prebuit_int.py
def foo():
j = 0
for i in xrange(1024 * 1024):
j = i -1
j = i + 1
import timeit
print timeit.repeat(foo, repeat = 3, number= 100)
user:~/pypy_run$ official-pypy/bin/pypy-c -B test_speed4_prebuit_int.py
#default pypy
[0.21457695960998535, 0.21348810195922852, 0.21274185180664062]
user:~/pypy_run$ pypy-build-by-pypy-test/bin/pypy-c -B
test_speed4_prebuit_int.py #--prebuiltintfrom -5 --prebuiltintfrom 1048576
[0.7308619022369385, 0.7308559417724609, 0.7256178855895996]
#almost 3 times slower
#############################################################################################
#test_mem4_prebuilt_int.py
listlen = 1024
itemlen = 1024 * 100
x = 1
a = [None] * listlen
def init_data():
for i in xrange(listlen):
a[i] = [None] * itemlen
def create_data():
for i in xrange(listlen):
for j in xrange(itemlen - 1):
a[i][j] = x + 0
init_data()
create_data()
###mem test is expected, no problem
Thanks regards!
shadow
2016-12-14
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