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naver · Jul 9, 2024 · fb8dadf · fb8dadf
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diff --git a/README.md b/README.md
@@ -67,7 +67,7 @@ Alternatively one can install the latest version of *RoMa* directly from the sou
 pip install git+https://github.com/naver/roma
 ```
 
-**For pytorch versions older than 1.8**, we recommend installing [torch-batch-svd](https://github.com/KinglittleQ/torch-batch-svd)
+**With old pytorch versions (torch<1.8)**, we recommend installing [torch-batch-svd](https://github.com/KinglittleQ/torch-batch-svd)
 to achieve a significant speed-up with `special_procrustes` on CUDA GPUs.
 You can check that this module is properly loaded using the function `roma.utils.is_torch_batch_svd_available()`.
 **With recent pytorch installations (torch>=1.8), `torch-batch-svd` is no longer needed or used.**

diff --git a/docsource/source/index.rst b/docsource/source/index.rst
@@ -28,7 +28,7 @@ Alternatively one can install the latest version of *RoMa* directly from the sou
 
     pip install git+https://github.com/naver/roma
 
-**For pytorch versions older than 1.8**, we recommend installing `torch-batch-svd <https://github.com/KinglittleQ/torch-batch-svd>`_
+**With old pytorch versions (torch<1.8)**, we recommend installing `torch-batch-svd <https://github.com/KinglittleQ/torch-batch-svd>`_
 to achieve a significant speed-up with :func:`~roma.mappings.procrustes` on CUDA GPUs (see section :ref:`Why a new library?`).
 You can check that this module is properly loaded using the function :func:`~roma.utils.is_torch_batch_svd_available()`.
 **With recent pytorch installations (torch>=1.8), torch-batch-svd is no longer needed or used.**