Hi
Using the l4t-jetpack:r35.1.0 as base image I’m trying to install additional dependencies in this docker image. The ultimate goal of this exercise is to be able to run Model Converter and Inference SDK of (mmdeploy) inside a docker container on a Jetson Xavier NX.
However, I get stuck at trying to install one of the needed dependencies, torchvision:
In the docker image, I include:
ENV FORCE_CUDA="1"
# torch
RUN wget https://developer.download.nvidia.com/compute/redist/jp/v50/pytorch/torch-1.12.0a0+2c916ef.nv22.3-cp38-cp38-linux_aarch64.whl -O torch-1.12.0a0+2c916ef.nv22.3-cp38-cp38-linux_aarch64.whl &&\
pip install torch-1.12.0a0+2c916ef.nv22.3-cp38-cp38-linux_aarch64.whl
RUN apt-get update &&\
apt-get install -y libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev libopenblas-base libopenmpi-dev libopenblas-dev --no-install-recommends &&\
rm -rf /var/lib/apt/lists/*
ENV CUDA_HOME = "/usr/local/cuda/"
# torchvision
RUN git clone --branch v0.13.0 https://github.com/pytorch/vision torchvision &&\
cd torchvision &&\
export BUILD_VERSION=0.13.0 &&\
pip install -e .
When trying to build I get the following error message:
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Preparing wheel metadata: started
Preparing wheel metadata: finished with status 'done'
Collecting requests
Downloading requests-2.28.1-py3-none-any.whl (62 kB)
Collecting pillow!=8.3.*,>=5.3.0
Downloading Pillow-9.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.0 MB)
Requirement already satisfied: torch in /usr/local/lib/python3.8/dist-packages (from torchvision==0.13.0) (1.12.0a0+2c916ef.nv22.3)
Requirement already satisfied: typing-extensions in /usr/local/lib/python3.8/dist-packages (from torchvision==0.13.0) (4.4.0)
Requirement already satisfied: numpy in /usr/lib/python3/dist-packages (from torchvision==0.13.0) (1.17.4)
Collecting certifi>=2017.4.17
Downloading certifi-2022.9.24-py3-none-any.whl (161 kB)
Collecting urllib3<1.27,>=1.21.1
Downloading urllib3-1.26.13-py2.py3-none-any.whl (140 kB)
Collecting idna<4,>=2.5
Downloading idna-3.4-py3-none-any.whl (61 kB)
Collecting charset-normalizer<3,>=2
Downloading charset_normalizer-2.1.1-py3-none-any.whl (39 kB)
Installing collected packages: certifi, urllib3, idna, charset-normalizer, requests, pillow, torchvision
Running setup.py develop for torchvision
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/root/workspace/mmdeploy/torchvision/setup.py'"'"'; __file__='"'"'/root/workspace/mmdeploy/torchvision/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' develop --no-deps
cwd: /root/workspace/mmdeploy/torchvision/
Complete output (33 lines):
No CUDA runtime is found, using CUDA_HOME='= /usr/local/cuda/'
Building wheel torchvision-0.13.0
PNG found: False
Running build on conda-build: False
Running build on conda: False
JPEG found: True
Building torchvision with JPEG image support
NVJPEG found: False
FFmpeg found: False
video codec found: False
The installed version of ffmpeg is missing the header file 'bsf.h' which is required for GPU video decoding. Please install the latest ffmpeg from conda-forge channel: `conda install -c conda-forge ffmpeg`.
running develop
running egg_info
writing torchvision.egg-info/PKG-INFO
writing dependency_links to torchvision.egg-info/dependency_links.txt
writing requirements to torchvision.egg-info/requires.txt
writing top-level names to torchvision.egg-info/top_level.txt
reading manifest file 'torchvision.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
/tmp/pip-build-env-2kdphqcs/overlay/lib/python3.8/site-packages/setuptools/config/setupcfg.py:508: SetuptoolsDeprecationWarning: The license_file parameter is deprecated, use license_files instead.
warnings.warn(msg, warning_class)
/tmp/pip-build-env-2kdphqcs/overlay/lib/python3.8/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
/tmp/pip-build-env-2kdphqcs/overlay/lib/python3.8/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
/usr/local/lib/python3.8/dist-packages/torch/utils/cpp_extension.py:387: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
warnings.warn(msg.format('we could not find ninja.'))
warning: no previously-included files matching '__pycache__' found under directory '*'
warning: no previously-included files matching '*.py[co]' found under directory '*'
adding license file 'LICENSE'
writing manifest file 'torchvision.egg-info/SOURCES.txt'
running build_ext
error: [Errno 2] No such file or directory: '= /usr/local/cuda/bin/nvcc'
----------------------------------------
ERROR: Command errored out with exit status 1: /usr/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/root/workspace/mmdeploy/torchvision/setup.py'"'"'; __file__='"'"'/root/workspace/mmdeploy/torchvision/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' develop --no-deps Check the logs for full command output.
I think the error lies in No CUDA runtime is found, using CUDA_HOME='= /usr/local/cuda/', but Im not sure how to solve this.