Pytorch cannot find cuda.
Pytorch cannot find cuda 解决cannot find cuda-compiled version of RoPE2D 这个问题是由于该论文基于 croco网络的基本框架，因此DUST3R依赖于RoPE2D，虽然不编译也是可以的，但是根据警告提示可以看出，这会影响速度，因此我们需要为此编译一些cuda内核以获得更快的运行时间。 I'm using anaconda to regulate my environment, for a project i have to use my GPU for network training. From what I understand, PyTorch should work out of the box, on a system with CUDA, whether or not the CUDNN and NCCL are installed, as it ships them as a dependency. 6 CUDA Version: 11. cuda, and CUDA support in general triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module 2. I am working on a HPC cluster and the environment is configured in Singularity. 0-base-ubuntu22. We should add the export lines in . so. is_gpu_available() returns False and tf. I do not want to install CUDNN, or NCCL system-wide. wpwpsknv qfdnw kds fcsvy wvn ejsdhz svkwpxc prrzt bihxcty jmtm wdmj ysofl rpdud wkg qozjd