mirror of
https://github.com/firestar5683/StarPilot.git
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firestar5683
22a8575199
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
29 lines
1.1 KiB
Bash
Executable File
29 lines
1.1 KiB
Bash
Executable File
#!/bin/sh
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install_loc="$HOME/.local/bin"
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docker build --platform=linux/arm64 -t cuda-nvcc:12.8 - <<'EOF'
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FROM ubuntu:22.04
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RUN apt-get update && apt-get install -y --no-install-recommends wget ca-certificates && \
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/sbsa/cuda-keyring_1.1-1_all.deb && \
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dpkg -i cuda-keyring_1.1-1_all.deb && \
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apt-get update && apt-get install -y --no-install-recommends cuda-nvcc-12-8 cuda-nvdisasm-12-8 cuda-cuobjdump-12-8 && rm -rf /var/lib/apt/lists/*
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ENV PATH=/usr/local/cuda/bin:$PATH
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EOF
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mkdir -p "$install_loc"
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tee "$install_loc/nvccshim" >/dev/null <<'EOF'
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#!/bin/sh
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set -eu
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cname="cuda-nvcc-persistent"
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if ! docker inspect --format='{{.State.Running}}' "$cname" 2>/dev/null | grep -q true; then
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docker rm -f "$cname" 2>/dev/null || true
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docker run -d --platform=linux/arm64 --name "$cname" \
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-v /var/folders:/var/folders -v "$HOME":"$HOME" \
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cuda-nvcc:12.8 sleep 300 >/dev/null
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fi
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exec docker exec "$cname" "$(basename "$0")" "$@"
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EOF
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chmod +x "$install_loc/nvccshim"
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for t in nvcc nvdisasm; do
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ln -sf "$install_loc/nvccshim" "$install_loc/$t"
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done
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