View source for Austin: Time and memory profiling

We want to see where your Python program requires the most processing time and memory. For this we will use a time- and memory profiler called Austin.

Questions to [mailto:davrot@uni-bremen.de David Rotermund]

== Installing Austin ==
Obviously, first we need to get [https://github.com/p403n1x87/austin Austin]. On the Austin website, there a several methods described how to install it.

=== Linux as user ===
Compiling<syntaxhighlight lang="shell">git clone --depth=1 https://github.com/P403n1x87/austin.git
cd austin
autoreconf --install
./configure
make</syntaxhighlight>Adding it to the Python3 bin directory, e.g.<syntaxhighlight lang="shell">cp src/austin ~/P3.11/bin/</syntaxhighlight>

=== Windows ===
Go [https://github.com/P403n1x87/austin/releases/latest here] and download the latest Windows64 msi installer. And don’t let Windows intimidate you:<div class="figure">
</div>[[File:19 4.png]]
[[File:19 3.png]]<div class="figure">
</div>

== Installing [https://github.com/P403n1x87/austin-tui Austin TUI] ==
<syntaxhighlight lang="shell">pip install austin-tui</syntaxhighlight>Under Windows you might need (not tested yet):<syntaxhighlight lang="shell">pip install windows-curses</syntaxhighlight>

== Installing VS Code Austin extension ==
You need to install this extension:

[[File:19 0.png]]<div class="figure">
</div>

== Using austin-tui ==
This is how it looks like under Linux. I haven’t tested it under Windows yet.

I am using the PyTorch MNIST network example.

=== Without memory profiling ===
<syntaxhighlight lang="shell">austin-tui ~/P3.9/bin/python3 network.py</syntaxhighlight>[[File:19 1.png]]<div class="figure">
</div>

=== With memory profiling ===
<syntaxhighlight lang="shell">austin-tui -m ~/P3.9/bin/python3 network.py</syntaxhighlight>[[File:19 2.png]]<div class="figure">
</div>