Open schnitzlein opened 1 year ago
Hi @schnitzlein -- for libraries that aren't supported natively, you can do from python import <library>
, e.g. from python import matplotlib
. In JIT mode you can also pass the module to Codon with pyvars
: https://docs.exaloop.io/codon/interoperability/decorator#passing-globals-to-codon -- e.g. @codon.jit(pyvars=['cv2'])
. Let me know if this solves your issue!
Hi @arshajii thanks for the quick Reply, I will work with this hints!
Thanks
Hi @arshajii I'm using your solution, but it takes longer than a simple Python solution.
`import codon from time import time import cv2 def is_prime_python(): img=cv2.imread("./01.jpg") a=0 for i in range(img.shape[0]): for j in range(img.shape[1]): a+=i*img.shape[0]+j print("is_prime_python") print(a) return True
@codon.jit(pyvars=["cv2"]) def is_prime_codon(): img=cv2.imread("./01.jpg") a=0 for i in range(img.shape[0]): for j in range(img.shape[1]): a+=i*img.shape[0]+j print("is_prime_codon") print(a)
return True
t0 = time() ans = is_prime_python() t1 = time() print(f'[python] {ans} | took {t1 - t0} seconds')
t0 = time() ans = is_prime_codon() t1 = time() print(f'[codon] {ans} | took {t1 - t0} seconds') `
This slowdown is significant; we will take a look.
Hi I am just curious about this project.
Testing it with default libs works great. Than I go with written documentation for opencv2 aka cv2 ... along with matplotlib as plt.
But codon.codon_jit.JITError: ...codon_test.py: no module named 'cv2'
I try it with python3 and with codon run but seems not callable. Also with the explizit maker @python .
Any ideas?
greetings