I’m attempting to follow the guide at https://github.com/NVIDIA-AI-IOT/CUDA-PointPillars?tab=readme-ov-file to setup the environment with the provided dockerfile for CUDA-PointPillars, but I am encountering the following error:
=> ERROR [4/6] RUN pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https:/ 2.7s
[4/6] RUN pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html:
1.299 Looking in links: https://download.pytorch.org/whl/cu113/torch_stable.html
2.531 ERROR: Could not find a version that satisfies the requirement torch==1.10.0+cu113 (from versions: 1.8.0, 1.8.1, 1.9.0, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0)
2.531 ERROR: No matching distribution found for torch==1.10.0+cu113
Dockerfile:9
7 | RUN apt-get install -y python3.8 python3-pip git libgl1-mesa-glx libglib2.0-0
8 |
9 | >>> RUN pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
10 | RUN pip install pyyaml scikit-image onnx onnx-simplifier spconv==2.3.6 pillow==10.0.0 numba==0.58.0 opencv-python
11 | RUN pip install onnx_graphsurgeon --index-url https://pypi.ngc.nvidia.com
ERROR: failed to solve: process “/bin/sh -c pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html” did not complete successfully: exit code: 1
It appears that there isn’t a matching torch distribution at the provided link in the dockerfile. Is this specific distribution necessary? Could there be an extra setup step that was missed or an additional change to the dockerfile I should make?