# 需要導入模塊: import psutil [as 別名]# 或者: from psutil importvirtual_memory[as 別名]def_virtual_memory(self):vmem = psutil.virtual_memory()return{'total': vmem.total,'available': vmem.available,'percent': vmem.percent,'used': vmem.used,'free': vmem.free,'active': vmem.active,'ina...
以下是一个简单的示例代码: importpsutil memory=psutil.virtual_memory()print("Total Memory: {} bytes".format(memory.total))print("Available Memory: {} bytes".format(memory.available))print("Used Memory: {} bytes".format(memory.used))print("Memory Usage: {}%".format(memory.percent)) 1. 2...
可以使用sys模块监控内存使用情况,从而在应用中实时调整相应策略。 importsys# 获取当前对象占用的内存大小(字节数)defmemory_usage():returnsys.getsizeof(object)data=[iforiinrange(1000000)]# 模拟数据print(f"当前数据占用内存:{memory_usage(data)}bytes") 1. 2. 3. 4. 5. 6. 7. 8. 9. 4. 使用...
# 需要导入模块: import pynvml [as 别名]# 或者: from pynvml importnvmlDeviceGetMemoryInfo[as 别名]defmem_used_percent_for(device_handle):"""Get GPU device memory consumption in percent"""try: memory_info = pynvml.nvmlDeviceGetMemoryInfo(device_handle)returnmemory_info.used *100.0/ memory_info....
For example, you might enable shared memory to reduce bottlenecks when you're using Blob Storage bindings to transfer payloads larger than 1 MB.This functionality is available only for function apps that are running in Premium and Dedicated (Azure App Service) plans. To learn more, see Shared...
This API downloads an object using streaming from OBS to your local computer.To download an object, you must be the bucket owner or have the required permission (obs:obje
Increasingly, other functionality is available when another Python has a certain package installed. For example, onefile compression will work for a Python 2.x when another Python is found that has thezstandardpackage installed. Moving binaries to other machines ...
x += i # xrange return x def main(): print test() gc.collect() p = psutil.Process(os.getpid()) 25 print p.get_memory_info() if __name__ == "__main__": main() 对⽐比 range 和 xrange 所需的 RSS 值. range: meminfo(rss=93339648L, vms=2583552000L)! xrange: meminfo(...
If your Python file imports the memory profiler from memory_profiler import profile these timestamps will not be recorded. Comment out the import, leave your functions decorated, and re-run. The available commands for mprof are: mprof run: running an executable, recording memory usage ...
_path.startswith(home_dir): file_path_real = file_path else: file_path_real = os.path.join(home_dir, file_path) file_dir, file_name = os.path.split(file_path_real) if file_dir == home_dir: # Run the glob module to query the file in the root directory of the flash memory....