importtimeimportos# 设置进程的CPU亲和性os.sched_setaffinity(0,{0})# 需要大量计算的函数defcompute(n):result=0foriinrange(n):result+=ireturnresult# 主程序if__name__=="__main__":start_time=time.time()result=compute(100000000)end_time=time.time()elapsed_time=end_time-start_timeprint("Re...
importtime# 导入time模块用于时间测量defcompute_sum():total=0# 初始化总和变量foriinrange(1,1000001):# 循环从1到1000000total+=i# 累加returntotal# 返回总和start_time=time.time()# 记录开始时间compute_sum()# 调用计算函数end_time=time.time()# 记录结束时间elapsed_time=end_time-start_time# 计算...
1>#: ^ '''sett1 = %TIME%call%*sett2 = %TIME% python %~f0"exit /b rem ^ ''' import os import datetime # python code to compute the time elapsed print"TimeElapsed: xxx" 具体解释可以看这个问题:http://stackoverflow.com/questions/17467441/how-to-embed-python-code-in-batch-script 注...
import time def clock(func): def clocked(*args): # ① t0 = time.perf_counter() result = func(*args) # ② elapsed = time.perf_counter() - t0 name = func.__name__ arg_str = ', '.join(repr(arg) for arg in args) print(f'[{elapsed:0.8f}s] {name}({arg_str}) -> {resu...
end_time = time.time elapsed_time = end_time - start_time print(f'Execution time: {elapsed_time:.2f} seconds') 注意:这些方法只会测量单元格中代码的执行时间。如果计算单元依赖于其他计算单元或外部资源,则执行时间将不包括执行这些依赖项所需的时间。
run_until_complete() print('Total elapsed time is', datetime.datetime.now() - start) if __name__ == '__main__': main() 6、总结Python异步编程版本细节 Python 2.5:增强生成器yield。 Python 3.3:引入yield from表达式。 Python 3.4:asyncio作为具有临时API的状态引入Python标准库中。 Python 3.5:...
print(f"Function '{func.__name__}' took {end_time - start_time} seconds to execute.") return result return wrapper @timer def compute_square(n): return [i**2 for i in range(n)] # 使用装饰器 compute_square(100000) 在这个示例中,timer 装饰器测量了函数 compute_square 的执行时间并输...
elapsed = format_time(time.time() - t0) # Report progress. print(' Batch {:>5,} of {:>5,}.'.format(step, len(val_dataloader))) # push the batch to gpu batch = [t.to(device) for t in batch] sent_id, mask, labels = batch # deactivate autograd with torch.no_grad(): # ...
@memory.cachedefcompute_func(arg1,arg2,arg3):passclassFoo(object):def__init__(self,args):self.data=Nonedefcompute(self):# 类中调用缓存的函数self.data=compute_func(self.arg1,self.arg2,40) 1.2 Parallel类 Joblib库的Parallel类用于简单快速将任务分解为多个子任务,并分配到不同的CPU核心或机器上...
# Elapsed time: 178 ± 141 μs 对于简单的内核,还可以测量算法的整个过程获得每秒浮点运算的数量。通常以GFLOP/s (giga-FLOP /s)为度量单位。加法操作只包含一个触发器:加法。因此,吞吐量由: # G * FLOP / timing in s gflops = 1e-9 * dev_a.size * 1e6 / timing.mean() ...