Hi, rdb
Many thanks for your reply! I also checked this post: How to get GPU memory pointer from `Texture` Object - #3 by Hao-Yan. I think I can roughly understand the workflow now. As I don’t want to touch any C++ stuff at this stage, I would like to use Nvidia/CUDA-Python to finish the OpenGL-CUDA interoperation: cudart - CUDA Python 12.0.0 documentation.
Do you think is it possible to finish all cuda-opengl actions with this? Actually, I tried this through the following code:
from cuda.cudart import cudaGraphicsGLRegisterImage, cudaGraphicsRegisterFlags, GLuint, GLenum
# set texture
my_texture = Texture()
my_texture.setMinfilter(Texture.FTLinear)
my_texture.setFormat(Texture.FRgba32)
engine.win.add_render_texture(my_texture, GraphicsOutput.RTMCopyTexture)
gsg = GraphicsStateGuardianBase.getDefaultGsg()
texture_context = my_texture.prepareNow(0, gsg.prepared_objects, gsg)
# texture_context = my_texture.prepare(gsg.prepared_objects)
identifier = texture_context.getNativeId()
flag, resource = cudaGraphicsGLRegisterImage(identifier, 1,
cudaGraphicsRegisterFlags.cudaGraphicsRegisterFlagsNone)
But the returned flag is CudaError: InvalidValue, which indicates that the arguments are not in an acceptable range, and thus the resource handle is an invalid one as well. I am inexperienced at these CG stuff, actually, so could you share with me some intuition, like if this Cuda-Python lib works or not? If not, should I write a CUDA backend and provide python bind to my Panda3D program?