You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
- OpenSubDiv Conan recipe was incorrectly specifying that clients needed to link
against libtbbmalloc and libtbbmalloc_proxy, which could cause mixing of TBB
and glibc malloc. Fixes [#371 usdview core dump](#371).
- docker-builds.yml missing line continuation, would abort trying to build base2 Conan packages due to missing options.
- clean up some bare URLs in README.md
- clean up references to internal Conan paths in installed CPython and USD scripts.
Fixes [#370](#370).
Signed-off-by: Jean-Francois Panisset <panisset@gmail.com>
Copy file name to clipboardExpand all lines: README.md
+2-2Lines changed: 2 additions & 2 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -336,7 +336,7 @@ The container images include CUDA, OptiX, OpenGL and Vulkan libraries and can be
336
336
337
337
The host system must have the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-container-toolkit) installed to allow GPU devices to be mapped into the container and accessible by a binary running inside it. The NVIDIA GPU driver also needs to be installed on the host: the Container Toolkit will map the hardware specific shared libraries into the container at startup time. There is no need to install the GPU driver in the container itself.
338
338
339
-
Academy Software Foundation projects running their CI in the context of the [https://github.com/AcademySoftwareFoundation/] GitHub organization have access to GPU accelerated hosted runners where the NVIDIA Container Toolkit is already installed.
339
+
Academy Software Foundation projects running their CI in the context of the [ASWF GitHub organization](https://github.com/AcademySoftwareFoundation/) have access to GPU accelerated hosted runners where the NVIDIA Container Toolkit is already installed.
340
340
341
341
#### CUDA CI Workloads
342
342
@@ -352,7 +352,7 @@ container:
352
352
353
353
The[Open Shading Language](https://github.com/AcademySoftwareFoundation/OpenShadingLanguage) optionally uses NVIDIA OptiX for ray tracing acceleration. This requires additional [driver capabilities](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/1.10.0/user-guide.html#driver-capabilities) to be mapped into the container at startup time:
0 commit comments