you need to set that so that the NVIDIA Container Runtime gets used duringdocker buildoperations. This way, CUDA/cuDNN/TensorRT will be mounted into your build context (on JetPack 4, those CUDA libraries get mounted from the host)
(message): **Could NOT find CUDA (missing: CUDA_TOOLKIT_ROOT_DIR CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) (found suitable version "8.0", minimum required is "6.5")** Call Stack (most recent call first): /usr/local/share/cmake-3.6/Modules/FindPackageHandleStandardArgs.cmake:388 (_FPHSA_...
libs\python310.lib' '-DPython_EXECUTABLE:PATH=C:\Users\Armaguedin\.conda\envs\textgen\python.exe' '-DPython_ROOT_DIR:PATH=C:\Users\Armaguedin\.conda\envs\textgen' -DPython_FIND_REGISTRY:STRING=NEVER '-DPython_INCLUDE_DIR:PATH=C:\Users\Armaguedin\.conda\envs\textgen\Include' '-DPy...
简介:Docker【部署 07】镜像内安装tensorflow-gpu及调用GPU多个问题处理Could not find cuda drivers+unable to find libcuda.so... 1.安装tensorflow-gpu Building wheels for collected packages: tensorflow-gpuBuilding wheel for tensorflow-gpu (setup.py): startedBuilding wheel for tensorflow-gpu (setup.py):...
7.0.0 CMake Error at /root/install/share/cmake-3.19/Modules/CMakeDetermineCUDACompiler.cmake:100 (message): Could not find nvcc executable in path specified by CUDAToolkit_ROOT=/usr/local/cuda-11.1 Call Stack (most recent call first): CMakeLists.txt:46 (project) -- Configuring incomplete...
version of RELION -- Setting cpu precision to double -- Setting accelerated code precision to single CUDA_TOOLKIT_ROOT_DIR not found or specified -- Could NOT find CUDA (missing: CUDA_TOOLKIT_ROOT_DIR CUDA_NVCC_EXECUTABLE CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) -- Using ...
Could not load dynamic library 'libcupti.so.10.1' 这种情况下可以通过设置环境变量来解决(前提是已正确安装了该组件,该组件默认在CUDA SDK中): exportLD_LIBRARY_PATH=/usr/local/cuda-10.1/extras/CUPTI/lib64/:$LD_LIBRARY_PATH 有时候会报错:
CUDA_CUDA_LIBRARY:FILEPATH=CUDA_CUDA_LIBRARY-NOTFOUND //Did we find cuda? CUDA_FOUND:BOOL=FALSE //Directory to put all the output files. If blank it will default // to the CMAKE_CURRENT_BINARY_DIR CUDA_GENERATED_OUTPUT_DIR:PATH= ...
As an example, this will turn into an error since the cudatoolkit versions are not listed in pip; !pip install torch==1.10.0+cu111 ERROR: Could not find a version that satisfies the requirement torch==1.10.0+cu111 (from versions: 1.0.0, 1.0.1, 1.0.1.post2, 1.1.0, 1...