Contents

Installation

Steps

  1. Install Python >= 3.9

  2. Get the most recent PyGRANSO package (including examples and requirements file):

    git clone https://github.com/sun-umn/PyGRANSO.git
cd PyGRANSO

  3. Install PyGRANSO solver from PyPI:

    pip install pygranso

  4. Install Dependencies from PyPI:

    OS: Linux OR Windows; Compute Platform: CUDA:

    pip install -r requirements.txt -f https://download.pytorch.org/whl/cu111/torch_stable.html

    OS: Linux; Compute Platform: CPU:

    pip install -r requirements_linux_cpu.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html

    OS: Mac OR Windows; Compute Platform: CPU:

    pip install -r requirements_cpu.txt

  5. (CUDA) Run test to make sure the dependency installation is correct:

    python test_cuda.py

    (CPU) Run test to make sure the dependency installation is correct:

    python test_cpu.py

  6. Check the Examples section in the documentation website to get started.

Dependencies

osqp-0.6.2

Python-3.9.7

numpy-1.20.3

scipy-1.7.1

pytorch-1.9.0

Jupyter Notebook-6.4.5