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Benchmarking serialization/unserialization in python using json, pickle and cPickle
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Installing CUDA 12.1.1 + PyTorch nightly + Python 3.10 on Ubuntu 22.10
Installing CUDA 12.1.1 + PyTorch nightly + Python 3.10 on Ubuntu 22.10
Should you keep your NVIDIA driver?
CUDA 12.1.1 toolkit is gonna offer to install Nvidia driver 530 for us. It's from New Feature branch. It's likely to be newer than the default Nvidia driver you would've installed via apt-get (apt would prefer to give you 525, i.e. Production Branch).
If you're confident that you already have a new enough Nvidia driver for CUDA 12.1.1, and you'd like to keep your driver: feel free to skip this "uninstall driver" step.
But if you're not sure, or you know your driver is too old: let's uninstall it. CUDA will install a new driver for us later.
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Example for Ansible git-module and ssh agent forwarding
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Changing playback sound speed in realtime with python and multiprocessing
Changing playback sound speed in realtime with python and multiprocessing
This is a script to change the sound speed in real time like for example background music in pygame.
The script generates the raw data of a sound file each time there is space in the queue. The sample will scale to the desired speed which you can modify with sound_Factor.
To play the music, you just need to get buffers from the queue and pass them to your music stream. Exemple for pygame :
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