Commits on Jul 16, 2023

1. Add a requirements file for multi-backend cuda …

   Not totally sure if we should merge this now, or wait for tf 2.14, but
   figured I could put it up anyway so people could use it. With
   tensorflow/tensorflow#59825
   tf-nightly can be installed using cuda pip packages. Which means we
   can write a recipe for cross framework GPU support.
   
   To install a local development version...
   ```shell
   pip install -r requirements-cuda.txt
   python pip_build.py --install
   ```
   
   To install the official pip version...
   ```shell
   pip install -r requirements-cuda.txt
   pip install keras-core --no-deps
   ```
   
   Note that `--no-deps` is required to avoid pulling in `tensorflow` and
   `tf-nightly` at the same time.
   
   This should work in a clean python env, as long nvidia drivers are
   >=520.61.05. No conda or cuda shenanigans required!

   

   mattdangerw committed Jul 16, 2023
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