Bump pytorch from 2.0.0 to 2.1.0, CUDA from 11.8 to 12.0 (#51)

⬆️ Bump pytorch from 2.0.0 to 2.1.0, CUDA from 11.8 to 12.0 Bumps [torch](https://github.com/pytorch/pytorch) from 2.0.0 to 2.1.0. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.0.0...v2.1.0) Also changing from the CUDA 11.8 build to the CUDA 12.0 build
Clay-foundation · Nov 24, 2023 · 7704b9b · 7704b9b
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diff --git a/README.md b/README.md
@@ -52,7 +52,7 @@ Generate a unified [`conda-lock.yml`](https://github.com/conda/conda-lock) file
 based on the dependency specification in `environment.yml`. Use only when
 creating a new `conda-lock.yml` file or refreshing an existing one.
 
-    conda-lock lock --mamba --file environment.yml --platform linux-64 --with-cuda=11.8
+    conda-lock lock --mamba --file environment.yml --platform linux-64 --with-cuda=12.0
 
 Installing/Updating a virtual environment from a lockile. Use this to sync your
 dependencies to the exact versions in the `conda-lock.yml` file.