Hello everybody, I am trying to include some CUDA-Code in an existing project. It seems that the CMAKE option enable_language(CUDA) leads to some troubles in setting NVCC compiler flags. With this CMAKE script everythi…
This change included in v3.2.0 introduced a build regression that caused llama.cpp to build for only the CUDA 5.2 compute architecture by default. Normally this would only be a performance regression, but for whatever reason this seems to be causing incorrect output. If this fix is confirmed,...
Without this change even if we have added "-allow-unsupported-compiler" to CMAKE_CUDA_FLAGS_INIT, the check will still fail. Sorry I don't know why.
OCV_OPTION(ENABLE_CUDA_FIRST_CLASS_LANGUAGE "Enable CUDA as a first class language, if enabled dependant projects will need to use CMake >= 3.18" OFF VISIBLE_IF (WITH_CUDA AND NOT CMAKE_VERSION VERSION_LESS 3.18) VERIFY HAVE_CUDA)
environment: CUDA 10.1 Ubuntu 16.04 TensorRT 5.1.5 I pulled the code today and try build, this error got again: -- The CUDA compiler identification is unknown CMake Error at CMakeLists.txt:582 (enable_language): No CMAKE_CUDA_COMPILER co...
First, provide Bazel users cross-platform autocomplete for the C language family (C++, C, Objective-C, Objective-C++, and CUDA), and thereby make development more efficient and fun! More generally, export Bazel build actions into thecompile_commands.jsonformat that enables great tooling decoupled...
Note: this repo requires an NVIDIA GPU with CUDA 11.7+ for NeRF and feature field distillation. 1. Setup conda environment # We recommend that you use conda to manage your environment conda create -n f3rm python=3.8 conda activate f3rm 2. Install Nerfstudio dependencies # Install torch per...
First, provide Bazel users cross-platform autocomplete for the C language family (C++, C, Objective-C, Objective-C++, and CUDA), and thereby make development more efficient and fun! More generally, export Bazel build actions into thecompile_commands.jsonformat that enables great tooling decoupled...