The current binaries are not built with CUDA 10.2 anymore, but your environment still picks it up.
I guess it’s because you are using a deprecated Python 3.6 release, which isn’t supported anymore since 23rd Dec 2021, so you might want to update Python.
The command also works for me properly:
pip install --no-cache-dir torch torchvision torchaudio
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting torch
Downloading torch-2.0.1-cp310-cp310-manylinux1_x86_64.whl (619.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 619.9/619.9 MB 31.3 MB/s eta 0:00:00
Collecting torchvision
Downloading torchvision-0.15.2-cp310-cp310-manylinux1_x86_64.whl (6.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.0/6.0 MB 27.8 MB/s eta 0:00:00
Collecting torchaudio
Downloading torchaudio-2.0.2-cp310-cp310-manylinux1_x86_64.whl (4.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 46.1 MB/s eta 0:00:00
Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.12.2)
Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch) (4.6.3)
Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch) (1.12)
Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch) (2.6.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch) (3.1.2)
Collecting nvidia-cuda-nvrtc-cu11==11.7.99 (from torch)
Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 52.2 MB/s eta 0:00:00
Collecting nvidia-cuda-runtime-cu11==11.7.99 (from torch)
Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 65.4 MB/s eta 0:00:00
Collecting nvidia-cuda-cupti-cu11==11.7.101 (from torch)
Downloading nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl (11.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 63.0 MB/s eta 0:00:00
Collecting nvidia-cudnn-cu11==8.5.0.96 (from torch)
Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 116.2 MB/s eta 0:00:00
...
Successfully installed lit-16.0.6 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 torch-2.0.1 torchaudio-2.0.2 torchvision-0.15.2 triton-2.0.0```