然后你可以像这样使用它并且一旦你完成就不要留下猴子修补代码: from math import sqrt from joblib import Parallel, delayed with tqdm_joblib(tqdm(desc="My calculation", total=10)) as progress_bar: Parallel(n_jobs=16)(delayed(sqrt)(i**2) for i in range(10)) 我认为这很棒,它看起来类似于 ...
returnsuper(ProgressParallel, self).__call__(*args, **kwargs) defprint_progress(self): ifself._totalisNone: self._pbar.total = self.n_dispatched_tasks self._pbar.n = self.n_completed_tasks self._pbar.refresh() 使用的时候:
我有一个函数: for j intqdm(something):joblib.Parallel(n_jobs=4)((joblib.delayed)(s) for s in something_else) 现在,这将创建4个重叠的tqdm进度条。有没有可能得到4个独立更新的独立版本? 浏览71提问于2019-07-19得票数1 9回答 我们如何使用tqdm与joblib并行执行? 、、、 我希望并行地运行一个函数...
with tqdm_joblib(tqdm(desc="progress", total=len(zipped_structures))) asprogress_bar: values = Parallel(n_jobs=-1)(delayed(func)(a,b,c) for a,b,c in zipped_structures)
joblib progress bar classBatchCompletionCallBack(object):# Added code - startglobaltotal_n_jobsglobaljobs_start_time# Added code - enddef__init__(self,dispatch_timestamp,batch_size,parallel):self.dispatch_timestamp=dispatch_timestampself.batch_size=batch_sizeself.parallel=paralleldef__call__(self...
)的可迭代性的解决方案并不能真正监视执行过程。相反，我建议对Parallel进行子类化并重写print_progress()...
16_tqdm_progress_bar 17_folium_map_1_different_map_tiles 18_folium_map_2_custom_icon 19_folium_map_3_heatmap 20_python_basemap_background 21_folium_map_4_draw_lines 22_joblib .ipynb_checkpoints Python Module - Joblib, parallel for loop.ipynb README.md 23_folium_map_5_overlay_imag...
16_tqdm_progress_bar 17_folium_map_1_different_map_tiles 18_folium_map_2_custom_icon 19_folium_map_3_heatmap 20_python_basemap_background 21_folium_map_4_draw_lines 22_joblib .ipynb_checkpoints Python Module - Joblib, parallel for loop.ipynb README.md 23_folium_map_5_overlay...
修改nth的伟大答案，允许动态标志使用TQDM或不使用TQDM，并提前指定总量，这样状态栏才能正确填充。
This week, I found a nice python module to do quick parallel computing - joblib. I used to do parallel computing using python Multiprocessing module. But for a quick dirty way to parallel for loop, joblib is a very nice tool! Here's an example....