这条警告信息表明NumExpr库检测到了你的系统有32个核心,但由于环境变量NUMEXPR_MAX_THREADS(或numexpr_max_threads,两者在NumExpr中均可使用,但通常使用大写形式)未设置,因此NumExpr将强制执行一个安全的线程数限制,通常是8个线程。 研究numexpr_max_threads参数的作用和设置方法: NUMEXPR_MAX
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if'NUMEXPR_MAX_THREADS'inos.environ: # The user has configured NumExpr in the expected way, so suppress logs. env_configured=True n_cores=MAX_THREADS ... if'NUMEXPR_NUM_THREADS'inos.environ: requested_threads=int(os.environ['NUMEXPR_NUM_THREADS']) elif'OMP_NUM_THREADS'inos.environ: request...
你也可以通过设置环境变量 NUMEXPR_MAX_THREAD 来控制你想要生成的线程的数量,以便用大型数组进行并行操作。NUMEXPR_MAX_THREAD 最好是CPU的线程数,以便获得更好的加速。 import os os.environ['NUMEXPR_MAX_THREADS'] = '16' os.environ['NUMEXPR_NUM_THREADS'] = '8' import numexpr as 1. 2. 3. 4. ...
"INFO:numexpr.utils:Note: NumExpr detected 32 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8. INFO:numexpr.utils:NumExpr defaulting to 8 threads." Where do I change this parameter? github-actionsbotadded thestale🪨话题搁置labelApr 12, 2024 ...
to use 16. You can always override this with the "NUMEXPR_MAX_THREADS" environment variable.Changes from 2.9.0 to 2.10.0 ---2 changes: 1 addition & 1 deletion 2 numexpr/tests/test_numexpr.py Original file line numberDiff line numberDiff line change @@ -41,7 +41,7 @@ double ...
示例代码如下： import sys from time import sleep def viewBar(i): """ 进度条效果 ...
You can also control the number of threads that you want to spawn for parallel operations with large arrays by setting the environment variableNUMEXPR_MAX_THREAD. Currently, the maximum possible number of threads is 64 but there is no real benefit of going higher than the number of virtual cor...
因此linux-image-extra-4.4.0-116-generic这个包很可能是在某次apt upgrade过程中被安装的，但是由于/...
INFO:numexpr.utils:Note: NumExpr detected 16 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8. INFO:numexpr.utils:NumExpr defaulting to 8 threads. INFO:fbprophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this. ...