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Numba JIT slower than pure python with parameterized function
I just wrote a simple benchmark comparing Numba and Julia, together with some discussion.
I'm wondering whether my Numba code could be fixed somehow, or if what I'm trying to do is indeed not supporte...
Martín Maas
Votes: 0
Answers: 1
Why numpy.array gives an error in jitclass numba?
I'm trying to initialize a matrix with np.array in jitclass, but it just give me an error
for instance :
from numba.experimental import jitclass
from numba import int32, float64
import numpy as np
sp...
ymmx
Votes: 0
Answers: 1
Increase largest tuple allowed for parallelization (numba)
I'm getting the error in numba while I'm trying to parallelize a loop that says
Use of a tuple (my_list) of length 200 in a parallel region exceeds
the maximum supported tuple size. Since Generalized...
financial_physician
Votes: 0
Answers: 0
Vectorize this matmul like operation in Numpy, Numba, Cupy manner
Say I have an vector v(ij) and matrix M(jk).
v = np.array([1.0, 1.0, 0.0, 0.0], dtype=np.float32)
M = np.array([[0.0, 0.0, 0.2, 0.0],
[0.0, 0.0, 0.0, -0.1],
[0.0, 0.0, 0.0...
Gestalt
Votes: 0
Answers: 0