Last active
March 14, 2021 15:59
-
-
Save jaymody/9d7dec07300f817ddd40b74b1d648a34 to your computer and use it in GitHub Desktop.
NumPy operations profiling.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import timeit | |
import numpy as np | |
def broadcast(): | |
a = np.random.random(256) | |
b = np.random.random((2048, 256)) | |
return timeit.timeit(lambda: a - b, number=1000) | |
def tile(): | |
a = np.random.random(256) | |
b = np.random.random((2048, 256)) | |
n = b.shape[0] | |
return timeit.timeit(lambda: np.tile(a, (n, 1)) - b, number=1000) | |
# 0.3977937699999998 | |
broadcast() | |
# 0.575944809000001 | |
tile() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import time | |
import numpy as np | |
def profile(f, n=2000): | |
arr = np.random.random((1000, 100)) - 0.5 | |
start = time.time() | |
for _ in range(n): | |
f(arr) | |
elapsed = time.time() - start | |
return elapsed | |
def maximum(a): | |
a = np.maximum(0, a) | |
return a | |
def indexing(a): | |
a[a > 0] = 0 | |
return a | |
def where(a): | |
a = np.where(a > 0, a, 0) | |
return a | |
print(profile(maximum)) # 0.2757070064544678 | |
print(profile(indexing)) # 0.06246805191040039 | |
print(profile(where)) # 0.8790371417999268 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment