leofang

# Many Python libraries provide low-level CUDA support, but when it comes to interoperability 
# things get complicated. This script shows a simple example on converting a CUDA stream 
# created from CuPy's API to one that is compatible with Numba.


from numba import cuda
import cupy as cp


def stream_cupy_to_numba(cp_stream):

DmitryUlyanov

from __future__ import print_function
import threading
from joblib import Parallel, delayed
import Queue
import os

# Fix print 
_print = print
_rlock = threading.RLock()
def print(*args, **kwargs):

jtyr

How to run Linux desktop in a corporate environment

DISCLAIMER

Some of the practices described in this HOWTO are considered to be illegal as they often break internal corporate policies. Anything you do, you do at your own risk.