diff --git a/README.rst b/README.rst index 54c8e7a..4f7b5b1 100644 --- a/README.rst +++ b/README.rst @@ -39,7 +39,7 @@ Learn more about EagerPy in the `documentation ` pip install eagerpy -EagerPy requires Python 3.6 or newer. Besides that, all essential dependencies are automatically installed. To use it with PyTorch, TensorFlow, JAX, or NumPy, the respective framework needs to be installed separately. These frameworks are not declared as dependencies because not everyone wants to use and thus install all of them and because some of these packages have different builds for different architectures and CUDA\footnote{\url{https://developer.nvidia.com/cuda-zone}} versions. +EagerPy requires Python 3.6 or newer. Besides that, all essential dependencies are automatically installed. To use it with PyTorch, TensorFlow, JAX, or NumPy, the respective framework needs to be installed separately. These frameworks are not declared as dependencies because not everyone wants to use and thus install all of them and because some of these packages have different builds for different architectures and `CUDA `_ versions. 🎉 Example ----------- diff --git a/docs/guide/getting-started.md b/docs/guide/getting-started.md index ebfb33f..3b1dcb9 100644 --- a/docs/guide/getting-started.md +++ b/docs/guide/getting-started.md @@ -8,7 +8,7 @@ You can install the latest release from [PyPI](https://pypi.org/project/eagerpy/ python3 -m pip install eagerpy ``` -EagerPy requires Python 3.6 or newer. Besides that, all essential dependencies are automatically installed. To use it with PyTorch, TensorFlow, JAX, or NumPy, the respective framework needs to be installed separately. These frameworks are not declared as dependencies because not everyone wants to use and thus install all of them and because some of these packages have different builds for different architectures and CUDA\footnote{\url{https://developer.nvidia.com/cuda-zone}} versions. +EagerPy requires Python 3.6 or newer. Besides that, all essential dependencies are automatically installed. To use it with PyTorch, TensorFlow, JAX, or NumPy, the respective framework needs to be installed separately. These frameworks are not declared as dependencies because not everyone wants to use and thus install all of them and because some of these packages have different builds for different architectures and `CUDA `_ versions. ::: warning NOTE EagerPy requires Python 3.6 or newer.