- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi,
I'm not an expert in Python.
When intel-numpy ffts I experiment with (fft2 and fftn), the memory increases until to be full.
I try a small code that generates the same issue:
import numpy import math import gc import numpy.fft as fft while True : test=numpy.fft.fft2(numpy.ones((200,200))); del test gc.collect()
I am doing something wrong, or it's a bug in the package ?
I run the experimentations on a Ubuntu en a CentOS with Python 3.6
Thanks, in advance for the highlight,
Mathieu
PS. mkl_fft do the same
Link Copied
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi Mathieu,
what version of `mkl_fft` and Intel(R) MKL are you using? Did you install it through conda, pip, or built it yourself?
Thank you,
Oleksandr
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi,
I get the version number with mkl_fft.__version__
On Ubuntu I installed with pip, and I get the version: '1.0.6'
On CentOS with pip, then I remove it and install with yum , and I get the same version '1.0.6', with the same problem
Mathieu
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Mathieu, I have file the issue on your behalf on GitHub, https://github.com/IntelPython/mkl_fft/issues/39
I have identified the leak, and will commit the fix shortly.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Thanks a lot,
Mathieu
- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page