Pip install error
JaYzZ opened this issue · comments
Any idea on why this error attached is happening during pip install? Here are the key conda environment components:
Name | Version | Build | Channel |
---|---|---|---|
_libgcc_mutex | 0.1 | main | defaults |
_openmp_mutex | 5.1 | 1_gnu | defaults |
blas | 1.0 | mkl | defaults |
clip | 1.0 | pypi_0 | pypi |
clip-benchmark | 1.6.1 | pypi_0 | pypi |
cuda-cudart | 11.8.89 | 0 | nvidia |
cuda-cupti | 11.8.87 | 0 | nvidia |
cuda-libraries | 11.8.0 | 0 | nvidia |
cuda-nvrtc | 11.8.89 | 0 | nvidia |
cuda-nvtx | 11.8.86 | 0 | nvidia |
cuda-runtime | 11.8.0 | 0 | nvidia |
intel-openmp | 2023.1.0 | hdb19cb5_46306 | defaults |
kornia | 0.7.2 | pypi_0 | pypi |
kornia-rs | 0.1.3 | pypi_0 | pypi |
libcublas | 11.11.3.6 | 0 | nvidia |
libcufft | 10.9.0.58 | 0 | nvidia |
libcufile | 1.9.0.20 | 0 | nvidia |
libcurand | 10.3.5.119 | 0 | nvidia |
libcusolver | 11.4.1.48 | 0 | nvidia |
libcusparse | 11.7.5.86 | 0 | nvidia |
llvm-openmp | 14.0.6 | h9e868ea_0 | defaults |
mkl | 2023.1.0 | h213fc3f_46344 | defaults |
mkl-service | 2.4.0 | py39h5eee18b_1 | defaults |
mkl_fft | 1.3.8 | py39h5eee18b_0 | defaults |
mkl_random | 1.2.4 | py39hdb19cb5_0 | defaults |
ninja | 1.11.1.1 | pypi_0 | pypi |
nvidia-ml-py | 12.535.133 | pypi_0 | pypi |
pip | 23.3.1 | py39h06a4308_0 | defaults |
python | 3.9.18 | h955ad1f_0 | defaults |
pytorch | 2.2.2 | py3.9_cuda11.8_cudnn8.7.0_0 | pytorch |
pytorch-cuda | 11.8 | h7e8668a_5 | pytorch |
pytorch-lightning | 2.1.3 | pypi_0 | pypi |
pytorch-mutex | 1.0 | cuda | pytorch |
setuptools | 68.0.0 | py39h06a4308_0 | defaults |
tensorboard | 2.15.1 | pypi_0 | pypi |
tensorboard-data-server | 0.7.2 | pypi_0 | pypi |
timm | 0.9.16 | pypi_0 | pypi |
torch-kmeans | 0.2.0 | pypi_0 | pypi |
torchmetrics | 1.2.1 | pypi_0 | pypi |
torchtriton | 2.2.0 | py39 | pytorch |
torchvision | 0.17.2 | py39_cu118 | pytorch |
wheel | 0.41.2 | py39h06a4308_0 | defaults |
xformers | 0.0.25.post1 | py39_cu11.8.0_pyt2.2.2 | xformers |
You've installed pytorch compiled with CUDA 11.8 when your machine is running CUDA v11.1
Try updating CUDA on your machine to 11.8