modadao
modadao
error: identifier "cudaStreamCaptureModeRelaxed" is undefined whta can I do？
When I execute the command instant-ngp$ cmake --build build --config RelWithDebInfo -j, an error occurs ，The error is reported as follows： Built target glfw_objects /home/ubuntu/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/cuda_graph.h(91): error: identifier "cudaStreamCaptureModeRelaxed" is undefined...
error: identifier "VkDebugUtilsMessengerEXT" is undefined
/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/shampoo.h(750): error: identifier "cublasSetWorkspace" is undefined detected during: instantiation of "tcnn::ShampooOptimizer::ShampooOptimizer(const tcnn::json &) [with T=float]" /home/projects/instant-ngp/dependencies/tiny-cuda-nn/src/optimizer.cu(72): here instantiation of "tcnn::Optimizer *tcnn::create_optimizer(const tcnn::json &) [with T=float]" /home/projects/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/average.h(66): here how to slove...
/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/shampoo.h(756): error: identifier "cublasSetWorkspace" is undefined detected during: instantiation of "tcnn::ShampooOptimizer::ShampooOptimizer(const tcnn::json &) [with T=float]" /home/projects/instant-ngp/dependencies/tiny-cuda-nn/src/optimizer.cu(72): here instantiation of "tcnn::Optimizer *tcnn::create_optimizer(const tcnn::json &) [with T=float]" /home/projects/instant-ngp/dependencies/tiny-cuda-nn/include/tiny-cuda-nn/optimizers/average.h(66): here how to slove...
CMake Error at CMakeLists.txt:40 (message): Some instant-ngp dependencies are missing. If you forgot the "--recursive" flag when cloning this project, this can be fixed by calling "git submodule update --init...
CMake Error at CMakeLists.txt:40 (message): Some instant-ngp dependencies are missing. If you forgot the "--recursive" flag when cloning this project, this can be fixed by calling "git submodule update --init...
Hi, Xingyu. May I ask what the following mask parameters do? I don't understand the impact of these parameters. Could you please explain the following to me? # Loss parameters...
Hi，xingyu！ In the calculation of loss, ret ['mode_seeking ']=hparams. weightMS * 1/\ ((torch.mean(torch.abs(inputs['rgb_fine'].detach() - inputs['rgb_fine_random'])) / \ Torch.mean (torch. abs (inputs ['a_embedded ']. detach() - inputs ['a_embedded_random']. detach())+1 * 1e-5),...
If I use the parameter -- use_ Cache, but where to get the. pkl file