Installation

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NOTE: The installation instruction below assume that you have python installed on your machine and are using conda as your package/environment manager.

Option 1: Install from PIP (recommended for analysts):

1. Create a new environment: conda create --name sup3r python=3.11

2. Activate environment: conda activate sup3r

3. Install sup3r: pip install NREL-sup3r

4. Run this if you want to train models on GPUs: pip install tensorflow[and-cuda]

   4.1 For OSX use instead: python -m pip install tensorflow-metal

Option 2: Clone repo (recommended for developers)

1. from home dir, git clone git@github.com:NREL/sup3r.git

2. Create sup3r environment and install package

   1. Create a conda env with python: conda create --name sup3r python=3.11

   2. Run the command: conda activate sup3r

   3. cd into the repo cloned in 1.

   4. Prior to running pip below, make sure the branch is correct (install from main!)

   5. Install sup3r and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)

   6. Run this if you want to train models on GPUs: pip install tensorflow[and-cuda]

   7. Optional: Set up the pre-commit hooks with pip install pre-commit and pre-commit install