fix: fixed typo in README.md (#910)

facebookresearch · Oct 31, 2023 · addb38b · addb38b
1 parent 1e13ad9
commit addb38b
Showing 1 changed file with 2 additions and 2 deletions.
diff --git 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