Memory Profiler
This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for python programs.
Installation
To install through easy_install or pip:
$ easy_install -U line_profiler # pip install -U line_profiler
To install from source, download the package, extract and type:
$ python setup.py install
Usage
The line-by-line profiler is used much in the same way of the line_profiler: you must first decorate the function you would like to profile with @profile:
@profile
def my_func():
a = np.zeros((100, 100))
b = np.zeros((1000, 1000))
c = np.zeros((10000, 1000))
return a, b, c
then execute the code passing the option “-m memory_profiler” to the python interpreter. If the file name was example.py, this would result in:
$ python -m line_profiler example.py
Output will follow:
Line # Mem usage Line Contents
===================================
3 @profile
4 def my_func():
5 13.68 MB a = np.zeros((100, 100))
6 13.77 MB b = np.zeros((1000, 1000))
7 21.40 MB c = np.zeros((10000, 1000))
8 97.70 MB return a, b, c
Bugs & wishlist
It currently prints the memory at line before the line has been executed. It would be nice to print consumption after the line has been executed. Maybe also print the increment in memory consumption.
Development
Latest sources are available from github:
Author: Fabian Pedregosa <fabian@fseoane.net> License: Simplified BSD
2 maintainers
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