Installation

Betty can be installed via pip. Betty’s dependencies include:

• Python 3.6 - 3.9

• PyTorch 1.6 - 1.12

Install with pip

pip install betty-ml

To use IterativeProblem, you need to additionally install functorch. However, functorch requires users to use PyTorch 1.11.

pip install functorch

To install Betty and develop locally:

git clone https://github.com/leopard-ai/betty.git
cd betty
pip install -e .

Verifying Installation

You can verify the installation by running the following:

python -c "from betty import test_install"

Additionally, you can verify the developer installation by running test.py.

python test.py

If the installation was successful, you should see the following output:

[YYYY-mm-dd HH:MM:SS] [INFO] Initializing Multilevel Optimization...

[YYYY-mm-dd HH:MM:SS] [INFO] *** Problem Information ***
[YYYY-mm-dd HH:MM:SS] [INFO] Name: outer
[YYYY-mm-dd HH:MM:SS] [INFO] Uppers: []
[YYYY-mm-dd HH:MM:SS] [INFO] Lowers: ['inner']
[YYYY-mm-dd HH:MM:SS] [INFO] Paths: [['outer', 'inner', 'outer']]

[YYYY-mm-dd HH:MM:SS] [INFO] *** Problem Information ***
[YYYY-mm-dd HH:MM:SS] [INFO] Name: inner
[YYYY-mm-dd HH:MM:SS] [INFO] Uppers: ['outer']
[YYYY-mm-dd HH:MM:SS] [INFO] Lowers: []
[YYYY-mm-dd HH:MM:SS] [INFO] Paths: []

[YYYY-mm-dd HH:MM:SS] [INFO] Time spent on initialization: 0.001 (s)

[YYYY-mm-dd HH:MM:SS] [INFO] [Problem "outer"] [Global Step 1000] [Local Step 10] loss: 0.3682613968849182
[YYYY-mm-dd HH:MM:SS] [INFO] [Problem "outer"] [Global Step 2000] [Local Step 20] loss: 0.30229413509368896
[YYYY-mm-dd HH:MM:SS] [INFO] [Problem "outer"] [Global Step 3000] [Local Step 30] loss: 0.29078295826911926
[YYYY-mm-dd HH:MM:SS] [INFO] [Problem "outer"] [Global Step 4000] [Local Step 40] loss: 0.29050588607788086
[YYYY-mm-dd HH:MM:SS] [INFO] [Problem "outer"] [Global Step 5000] [Local Step 50] loss: 0.29037463665008545
*** Hello (Betty) World ***

Hello (Betty) World!