Jupyter Notebook > %timeit range(100) > 処理時間の計測 > %%timeit > 複数文の処理時間の計測

動作環境

Ubuntu 14.04 LTS desktop amd64
GeForce GTX 750 Ti
ASRock Z170M Pro4S [Intel Z170chipset]
TensorFlow v0.11
cuDNN v5.1 for Linux
CUDA v7.5
Python 2.7.6
IPython 5.1.0 -- An enhanced Interactive Python.

Jupyter(IPython) NotebookのTutorial
https://www.youtube.com/watch?v=LNncYkzetJg&index=3&list=PLRJx8WOUx5Xd3_dgw5xRmABUd8MWdsA_C

6:02頃

%timeit range(100)

%timeit range(100)

上記でShift+Enter(Run Cells)すると処理時間が表示される。

The slowest run took 4.85 times longer than the fastest. This could mean that an intermediate result is being cached. 1000000 loops, best of 3: 393 ns per loop

%%timeit のあとに複数の実行文

%%timeit

for x in range(100):
    y=x+1

The slowest run took 18.90 times longer than the fastest. This could mean that an intermediate result is being cached. 1000000 loops, best of 3: 1.98 µs per loop

%%timeitの練習

%%timeit

sum=0
i=0
while i<=100000:
    sum+=i
    i+=1

100 loops, best of 3: 3.01 ms per loop

%%timeit
sum=0
for i in xrange(100001):
    sum+=i

1000 loops, best of 3: 1.64 ms per loop

%%timeit
sum(xrange(100001))

1000 loops, best of 3: 526 µs per loop