v0.4.3
版本发布时间: 2022-09-21 10:02:41
NVIDIA/warp最新发布版本:v1.3.3(2024-09-05 04:54:55)
[0.4.3] - 2022-09-20
- Update all samples to use GPU interop path by default
- Fix for arrays > 2GB in length
- Add support for per-vertex USD mesh colors with warp.render class
[0.4.2] - 2022-09-07
- Register Warp samples to the sample browser in Kit
- Add NDEBUG flag to release mode kernel builds
- Fix for particle solver node when using a large number of particles
- Fix for broken cameras in Warp sample scenes
[0.4.1] - 2022-08-30
- Add geometry sampling methods, see
wp.sample_unit_cube()
,wp.sample_unit_disk()
, etc - Add
wp.lower_bound()
for searching sorted arrays - Add an option for disabling code-gen of backward pass to improve compilation times, see
wp.set_module_options({"enable_backward": False})
, True by default - Fix for using Warp from Script Editor or when module does not have a
__file__
attribute - Fix for hot reload of modules containing
wp.func()
definitions - Fix for debug flags not being set correctly on CUDA when
wp.config.mode == "debug"
, this enables bounds checking on CUDA kernels in debug mode - Fix for code gen of functions that do not return a value
[0.4.0] - 2022-08-09
- Fix for FP16 conversions on GPUs without hardware support
- Fix for
runtime = None
errors when reloading the Warp module - Fix for PTX architecture version when running with older drivers, see
wp.config.ptx_target_arch
- Fix for USD imports from
__init__.py
, defer them to individual functions that need them - Fix for robustness issues with sign determination for
wp.mesh_query_point()
- Fix for
wp.HashGrid
memory leak when creating/destroying grids - Add CUDA version checks for toolkit and driver
- Add support for cross-module
@wp.struct
references - Support running even if CUDA initialization failed, use
wp.is_cuda_available()
to check availability - Statically linking with the CUDA runtime library to avoid deployment issues
1、 warp-public-binary-0.4.3+master.1280.5db431a4.teamcity.zip 91.37MB