Closed zdyj3170101136 closed 10 months ago
Yes, see https://bloomberg.github.io/memray/run.html#native-tracking - you'll need to use the --native
option to memray run
, and you'll need to generate the reports on the same machine the capture file was generated on.
Yes, see https://bloomberg.github.io/memray/run.html#native-tracking - you'll need to use the
--native
option tomemray run
, and you'll need to generate the reports on the same machine the capture file was generated on.
memray-flamegraph-benchmakr.py.13823.html.zip
here is my memory profiling.
i read a lot of image:
import os
import PIL
from PIL import Image
dir = "/home/centos/pillow-bench/Images_0/0"
onlyfiles = []
filedir = dir
files = [f for f in os.listdir(filedir) if os.path.isfile(os.path.join(filedir, f))]
filepaths = map( lambda x: os.path.join(filedir, x), files )
onlyfiles += list(filepaths)
s = 0
for i in range(len(onlyfiles)):
fname = onlyfiles[i]
image = PIL.Image.open(fname)
# Do something
image.tobytes("xbm", "rgb")
if i % 10000 == 0:
print('iteration ', i)
input("Press Enter to continue...")
i expect there have lots of memory allocation by pillow package, but there is not.
is memray support profiling c version of python package like pillow?