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https://github.com/andreinechaev/nvcc4jupyter.git
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Feature: Passing arguments to NVCC compiler (#26)
* Add option to give nvcc extra arguments * Add test for nvcc options that changes c++ dialect from c++17 to c++14 * Add make and the english language pack to devcontainer to be able to build the documentation * Update documentation config to automatically import the current version of the package * Document new --compiler-args argument * Improve tests coverage by testing for bad arguments and the error output during a failed compilation * Add IPython to docs requirements to allow the __version__ import for readthedocs env * Change devcontainer base image to have the latest CUDA toolkit * Mock the nsight compute tool with a bash script * Add test to compile with opencv * Add new page to documentation that contains a new notebook that explains compiling with external libraries * Add autodocstring vscode extension to devcontainer * Add function that modifies the default profiler/compiler arguments to allow reusing them in multiple magic command calls * Update pylint exceptions * Update contributing instructions * Change version from 1.0.3 to 1.1.0 due to adding features in a backward-compatible manner * Install latest CUDA toolkit on the test runner to pass the OpenCV compilation test * Install opencv in test runner and update code coverage install * Add CUDA bin to PATH in test and coverage runners * Add cuda bin to path variable in .bashrc * Update way to set environment variable PATH in github action * Change devcontainer base image back to ubuntu:22.04 to match the environment from the test runner
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@@ -1,15 +1,29 @@
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FROM ubuntu
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FROM ubuntu:22.04
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ARG VENV_PATH=/opt/dev-venv
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ENV VENV_ACTIVATE=${VENV_PATH}/bin/activate
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ENV DEBIAN_FRONTEND="noninteractive"
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# install the latest CUDA toolkit (https://developer.nvidia.com/cuda-downloads)
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RUN apt update
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RUN apt install -y python3.10-venv nvidia-cuda-toolkit gcc vim git
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RUN apt install -y wget
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RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
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RUN dpkg -i cuda-keyring_1.1-1_all.deb
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RUN apt update
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RUN apt -y install cuda-toolkit-12-3
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RUN echo "PATH=\"\$PATH:/usr/local/cuda/bin\"" >> ~/.bashrc
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# the mkdir command bypasses a profiler error, which allows us to run it with
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# host code only to at least check that the profiler parameters are correctly
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# provided; without this line, some tests will fail
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RUN mkdir -p /usr/lib/x86_64-linux-gnu/nsight-compute/sections
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# install OpenCV to test compilation with external libraries
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RUN apt install -y libopencv-dev pkg-config
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# make & language-pack-en are for documentation
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RUN apt install -y \
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gcc \
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git \
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language-pack-en \
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make \
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python3.10-venv \
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vim
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# we create the virtualenv here so that the devcontainer.json setting
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# python.defaultInterpreterPath can be used to find it; if we do it in the
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@@ -16,10 +16,12 @@
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"ms-python.isort",
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"ms-python.flake8",
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"ms-python.black-formatter",
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"ryanluker.vscode-coverage-gutters"
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"ryanluker.vscode-coverage-gutters",
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"njpwerner.autodocstring"
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],
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"settings": {
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"python.defaultInterpreterPath": "/opt/dev-venv/bin/python"
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"python.defaultInterpreterPath": "/opt/dev-venv/bin/python",
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"autoDocstring.docstringFormat": "google-notypes"
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}
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}
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}
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