Skip to content

docs: full CUDA toolkit (NVRTC dev libs) required to build the extension #208

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
JinukMoon wants to merge 1 commit into
base: main
Choose a base branch
from
+17 −3
Open

docs: full CUDA toolkit (NVRTC dev libs) required to build the extension #208

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
20 changes: 17 additions & 3 deletions docs/installation.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ You need the following to install OpenEquivariance:

c++ --version

To build the extension with an alternate compiler, set the
To build the extension with an alternate compiler, set the
``CC`` and ``CXX``
environment variable and retry the import:

Expand All @@ -46,9 +46,23 @@ You need the following to install OpenEquivariance:
export CXX=/path/to/your/g++
python -c "import openequivariance"

Building the extension also requires a **full CUDA toolkit**, including
the NVRTC development libraries (the CMake build links ``CUDA::nvrtc``).
A compiler-only toolchain — for example conda's ``cuda-nvcc`` package on
its own — fails with::

These configuration steps are required only ONCE after
installation (or upgrade) with pip.
target_link_libraries ... CUDA::nvrtc but the target was not found

In that case, point CMake at a full toolkit installation and retry the
step that failed (the ``pip install`` for a source build, or the import):

.. code-block:: bash

export CUDAToolkit_ROOT=/usr/local/cuda
python -c "import openequivariance"

These configuration steps are required only ONCE after
installation (or upgrade) with pip.


.. tab:: JAX NVIDIA GPUs
Expand Down