nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu11 10.2.10.91 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu11 11.4.0.1 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu11 11.7.4.91 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu11 2.14.3 nvidia-nccl-cu12 2.18.1 nvidia-nvjitlink-cu12 12.2...
Notice, that I will be doing anti-bloat on it, but it's very unlike to be correct to build JIT accelerations on the target system, or is that something you want to do? I will look at it in #2552 but I believe, we have to disarm that JIT, so as to not trigger this. I will ...
RuntimeError: Only tuples, lists and Variables supported as JIT inputs/outputs. Dictionaries and strings are also accepted but their usage is not recommended. But got unsupported type Instances We knew if we wanna use the model on TensorRT that we have to export the onnx m...
Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /home/suw469/.local/lib/python3.10/site-packages (from torch>=2.3.1->SAM-2==1.0) (11.0.2.54) Requirement already satisfied: nvidia-nvjitlink-cu12 in /home/suw469/.local/lib/python3.10/site-packages (from nvidia-cusolver-cu12...
but nvidia-*-cu12 is - cuda_libs: Dict[str, str] = { + # Can only happen for wheel with cuda libs as PYPI deps + # As PyTorch is not purelib, but nvidia-*-cu12 is + cuda_libs: Dict[str, str] = { + 'nvjitlink': 'libnvJitLink.so.*[0-9]', + 'cusparse': 'libcusp...
#AMD64 (PyPi instead of PyTorch)#Defaults to latest cuda variant (+cu121)#Same nvidia specific deps as PyTorch +cu121, exceptfornvidia-nvjitlink-cu12 (Cuda 12.4 here instead of 12.1)$uv pip install torch torchvision torchaudioResolved 25 packages in 558msDownloaded 25 packages in 53.62sIns...
GPU models and configuration: GPU 0: NVIDIA A100-SXM4-80GB Nvidia driver version: 535.129.03 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True CPU: Architecture: x86_64 ...
nvidia libnvjitlink 12.1.105 0 nvidia libnvjpeg 12.1.1.14 0 nvidia libogg 1.3.4 h7f98852_1 conda-forge libopus 1.3.1 h7f98852_1 conda-forge libpng 1.6.39 h5eee18b_0 libsndfile 1.0.31 h9c3ff4c_1 conda-forge libstdcxx-devel_linux-64 11.2.0 h1234567_1 libstdcxx-ng 11.2.0 h1234567...
x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2080 Ti GPU 1: NVIDIA GeForce RTX 2080 Ti Nvidia driver version: 531.79 cuDNN version: Could not collect HIP run...
1. Issue or feature description I have container running with nvidia-docker. The GPU linked to the container entered some error state that caused it to drop off the bus. The container is still alive, and docker kill simply hangs forever ...