diff --git a/README.md b/README.md index 3b31272759..e61e062aeb 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ xFormers is: - **Customizable building blocks**: Independent/customizable building blocks that can be used without boilerplate code. The components are domain-agnostic and xFormers is used by researchers in vision, NLP and more. -- **Research first**: xFormers contains bleeding-edge components, that are not yet available in mainstream libraries like pytorch. +- **Research first**: xFormers contains bleeding-edge components, that are not yet available in mainstream libraries like PyTorch. - **Built with efficiency in mind**: Because speed of iteration matters, components are as fast and memory-efficient as possible. xFormers contains its own CUDA kernels, but dispatches to other libraries when relevant. ## Installing xFormers @@ -234,7 +234,7 @@ Patrick et al., 2021](https://arxiv.org/abs/2106.05392)* * the version of GCC that you're using matches the current NVCC capabilities * the `TORCH_CUDA_ARCH_LIST` env variable is set to the architectures that you want to support. A suggested setup (slow to build but comprehensive) is `export TORCH_CUDA_ARCH_LIST="6.0;6.1;6.2;7.0;7.2;7.5;8.0;8.6"` * If the build from source OOMs, it's possible to reduce the parallelism of ninja with `MAX_JOBS` (eg `MAX_JOBS=2`) -* If you encounter [`UnsatisfiableError`](https://github.com/facebookresearch/xformers/issues/390#issuecomment-1315020700) when installing with conda, make sure you have pytorch installed in your conda environment, and that your setup (pytorch version, cuda version, python version, OS) match [an existing binary for xFormers](https://anaconda.org/xformers/xformers/files) +* If you encounter [`UnsatisfiableError`](https://github.com/facebookresearch/xformers/issues/390#issuecomment-1315020700) when installing with conda, make sure you have PyTorch installed in your conda environment, and that your setup (PyTorch version, cuda version, python version, OS) match [an existing binary for xFormers](https://anaconda.org/xformers/xformers/files) ### License