Python Profiling with line profiler
line_profiler is a python package that lets you profile a python app line by line with minimal code modifications.
- Install the tool:
pip3 install line_profiler - On your code, import the package and add the
@profiledecorator before the methods that you want to profile - Create a script that runs through your code in a loop.
#!/usr/bin/env python3
import numpy as np
from line_profiler import profile
@profile
def matrix_operations():
# Create two large random matrices
A = np.random.rand(1000, 1000)
B = np.random.rand(1000, 1000)
# Perform matrix multiplication
C = np.dot(A, B)
if __name__ == "__main__":
for i in range(100):
matrix_operations()
Run the script:
chmod +x script.py reset; kernprof -l -v script.py
Example output:
Wrote profile results to script.py.lprof
Timer unit: 1e-06 s
Total time: 3.7408 s
File: script.py
Function: matrix_operations at line 6
Line # Hits Time Per Hit % Time Line Contents
==============================================================
6 @profile
7 def matrix_operations():
8 # Create two large random matrices
9 100 1061370.6 10613.7 28.4 A = np.random.rand(1000, 1000)
10 100 1140344.9 11403.4 30.5 B = np.random.rand(1000, 1000)
11
12 # Perform matrix multiplication
13 100 1539081.9 15390.8 41.1 C = np.dot(A, B)
For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.
ARTIFICIAL INTELLIGENCE
