numba version check
Dependency List · Checking your installation · Compiling Python code with @jit ... CUDA Array Interface (Version 2) · Python Interface Specification. ,The two versions numba and python -m numba are the same. The first is shorter to type, but if you get a “command not found” error because your PATH doesn't ...
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 numba version check 相關參考資料
A ~5 minute guide to Numba — Numba 0.50.1 documentation
This compiled version is then used every time your function is called. Other things of interest:¶. Numba has quite a few decorators, we've seen @jit , but ... https://numba.pydata.org A ~5 minute guide to Numba — Numba 0.52.0.dev0+274 ...
Dependency List · Checking your installation · Compiling Python code with @jit ... CUDA Array Interface (Version 2) · Python Interface Specification. https://numba.pydata.org Command line interface — Numba 0.50.1 documentation
The two versions numba and python -m numba are the same. The first is shorter to type, but if you get a “command not found” error because your PATH doesn't ... https://numba.pydata.org First Steps with numba — numba 0.12.1 documentation
Now, let's try the function, this way we check that it works. First we'll create an array of sorted ... Let's get a numba version of this code running. http://numba.pydata.org First Steps with numba — numba 0.12.2 documentation
Now, let's try the function, this way we check that it works. First we'll create an array of sorted ... Let's get a numba version of this code running. https://numba.pydata.org First Steps with numba — numba 0.15.1 documentation
Now, let's try the function, this way we check that it works. First we'll create an array of sorted ... Let's get a numba version of this code running. http://numba.pydata.org Installation — Numba 0.50.1 documentation
Compatibility¶. Numba is compatible with Python 3.6 or later, and Numpy versions 1.15 or later. Our supported platforms are: Linux x86 (32-bit and 64-bit). https://numba.pydata.org Installing on Linux ARMv7 Platforms - Numba
Installation¶. Compatibility¶. Numba is compatible with Python 3.6 or later, and Numpy versions 1.15 or later. Our supported platforms are:. https://numba.pydata.org Numba and types — numba 0.12.2 documentation
from __future__ import print_function import numba import numpy as np import math import llvm import ctypes print(numba version: %s -nNumPy version: ... https://numba.pydata.org Release Notes — Numba 0.50.1 documentation
PR #5918: Fix cuda test due to #5876. Authors: @pepping_dore. Lucio Fernandez-Arjona. Siu Kwan Lam (core dev). https://numba.pydata.org |