info = p.memory_full_info() # pfullmem 对象 memory = info.uss / 1024. / 1024 print(f'{hint} memory used: {memory} MB') def func(): show_memory_info('initial') a = [i for i in range(10000000)] show_memory_info('after a created') func() show_memory_info('finished') ""...
defshow_memory_info(hint):pid=os.getpid()p=psutil.Process(pid)info=p.memory_full_info()memory=info.uss/1024./1024print('{} memory used: {} MB'.format(hint,memory))deffunc():show_memory_info('initial')a=[iforiinrange(10000000)]show_memory_info('after a created')func()show_memory...
memory_full_info() 此方法返回与memory_info()相同的信息,同时,在某些平台(Linux,macOS,Windows)上,该方法还提供其他指标(USS,PSS和swap)。 pss: 该进程实际使用物理内存(比例分配共享库占用内存) uss:进程独立占用的物理内存(不包含共享库占用的内存) 根据这些内存信息我们就可以对Python程序进行更精准的优化调优...
file_path_real = file_path_real.replace(home_dir, FLASH_HOME_PATH, 1) file_list = glob.glob(file_path_real) return True if len(file_list) > 0 else False else: # Invoke the YANG interface if the file is not in the root directory of the flash memory. file_dir = file_dir + "...
memory_full_info ( ) # Convert to MB memory = info . uss / 1024 / 1024 print ( ' Memory used: {:.2f} MB ' . format ( memory ) ) if memory > 40 : print ( ' Memory too big! Exiting. ' ) sys . exit ( ) time . sleep ( 1 ) ...
from azureml.core.webservice import AciWebservice aciconfig = AciWebservice.deploy_configuration(cpu_cores=1, memory_gb=1, tags={"data": "NAME_OF_THE_DATASET", "method" : "local_explanation"}, description='Get local explanations for NAME_OF_THE_PROBLEM') 创建包含环境依赖项的文件。 P...
highlight=memory_info#psutil.Process.memory_full_info Currently, the backend can be set via the CLI $ python -m memory_profiler --backend psutil my_script.py and is exposed by the API >>>frommemory_profilerimportmemory_usage>>>mem_usage=memory_usage(-1,interval=.2,timeout=1,backend="...
一、Pillow PIL(PythonImaging Library):提供了强大的图像操作功能,可以通过简单的代码完成复杂的图像处理,是Python平台事实上的图像处理库,支持Python 2.7以及更低的版本 Pillow:在PIL基础上创建的兼容版本,同时加入了更多新特性,支持Python 3.x 1、安装Pillow ...
pin_memory=args.pin_mem, drop_last=True,)函数from functools import partial # Create a new function with the eps argument fixed custom_layer_norm = partial(nn.LayerNorm, eps=1e-6) # You can then use custom_layer_norm as a new function output = custom_layer_norm(input_data)nn...
memory_usage sub pad rename_axis ge mean last cummin notna agg convert_dtypes round transform asof isin asfreq slice_shift xs mad infer_objects rpow drop_duplicates mul cummax corr droplevel dtypes subtract rdiv filter multiply to_dict le dot aggregate pop rolling where interpolate head tail size...