针对你提出的问题“from pytorch3d import _c importerror: libtorch_cuda_cu.so: cannot open shared”,这里有几个可能的解决方案,你可以按照以下步骤逐一尝试: 检查环境变量LD_LIBRARY_PATH: 确保CUDA的路径被正确添加到LD_LIBRARY_PATH环境变量中。你可以通过以下命令查看和设置LD_LIBRARY_PATH: bash echo $LD_...
$ cmake -DTorch_DIR=$(python3 -c "import torch; print(torch.utils.cmake_prefix_path)")/Torch . CMake Warning at /home/dvrogozh/pytorch.xpu/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Sta...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [Split Build] Make libtorch_global_deps accessible from libtorch whee… · pytorch/pytorch@3f8b8f0
Collecting environment information... PyTorch version: 2.2.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect CMake version...
PyTorch version: 0.4 Python version: 3.6.5 CUDA/cuDNN version: 9.1 GPU models and configuration: V100 server GCC version (if compiling from source): 6.3.1, but the one used at /usr/bin/cc is 4.4.7 CMake version: 3.11.1 Versions of any other relevant libraries: ...