Building and Validating a Python Model

Similar to the previous lab, before implementing the function in Vitis HLS, it is better to develop a model in a language like python where the debugging is simple. This python simulation will serve as a golden model meaning that it can provide a verified reference for the hardware design.

Copy the jupyter notebook in:

hwdesign/labs/rootsolve/partial/rootsolve.ipynb

hwdesign/labs/rootsolve/rootsolve.ipynb

Then complete this notebook to:

Create a floating point model of the cubic function
Create a root solve function using the Euler method. The function takes the polynomial coefficients, step size, and maximum number of iterations among other parameters as inputs, and outputs an estimate, x_root of the root of the polynomial, and the function value f(x_root).

Once the python model is complete, you can run the test

python run_tests.py --tests python

If you are on the NYU server, you will need to follow the instructions for running python with uv, and run

uv run python run_tests.py --tests python

This test will inspect the test outputs to make sure that the algorithm is producing an estimate of the root x_root such that f(x_root) is sufficiently small.

Go to Building the VITIS HLS.