feat: Upgrade Docker build to use custom TRT + CUDNN #1805
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- Upgrade Ubuntu version to 22.04 - Make custom build args for TensorRT and CUDNN versions, user-specifiable in a.b.c version format - Make build args required, without defaults, to improve code cleanliness and reduce amount of changes needed when versions shift - Provide clear error messages when the build args are not provided by the user - Add documentation of the change in the Docker README
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| FROM torch-tensorrt-builder-base as torch-tensorrt-builder | ||
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| COPY . /workspace/torch_tensorrt/src | ||
| WORKDIR /workspace/torch_tensorrt/src | ||
| RUN cp ./docker/WORKSPACE.docker WORKSPACE | ||
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| # Symlink the path pyenv is using for python with the /usr/local/lib/ for package sourcing | ||
| RUN ln -s "`pyenv which python | xargs dirname | xargs dirname`/lib/python$PYTHON_VERSION/site-packages" "/usr/local/lib/python" |
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Since pyenv puts the packages for the distribution in a different location, create a symbolic link to an unchanging path, which is then used in the WORKSPACE files to source libtorch.
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- Add support for pyenv in Docker file, allowing specification of a custom Python version - Update WORKSPACE files to automatically synchronize regardless of Python version choice, using symbolic links - Update dependencies accordingly - Add documentation for changing the base image of the Docker container
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- Add documentation regarding Python versioning
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Description
Fixes #1782
Type of change
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