wehub-resource-sync
66 lines
2.1 KiB
Bash
Executable File
66 lines
2.1 KiB
Bash
Executable File
#!/bin/bash
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set -e
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# shellcheck disable=SC2139
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alias pip="$HOME/anaconda3/bin/pip"
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sudo apt-get update \
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&& sudo apt-get install -y gcc \
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cmake \
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libgtk2.0-dev \
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libgl1-mesa-dev \
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libgl1-mesa-glx \
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libosmesa6 \
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libosmesa6-dev \
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libglfw3 \
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patchelf \
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unzip \
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unrar \
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zlib1g-dev
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# Install requirements
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pip --no-cache-dir install -r requirements.txt -c requirements_compiled.txt
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# Install other requirements. Keep pinned requirements bounds as constraints
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pip --no-cache-dir install \
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-c requirements.txt \
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-c requirements_compiled.txt \
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-r dl-cpu-requirements.txt \
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-r core-requirements.txt \
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-r data-requirements.txt \
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-r rllib-requirements.txt \
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-r rllib-test-requirements.txt \
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-r train-requirements.txt \
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-r train-test-requirements.txt \
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-r tune-requirements.txt \
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-r tune-test-requirements.txt \
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-r ray-docker-requirements.txt
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# Remove any device-specific constraints from requirements_compiled.txt.
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# E.g.: torch-scatter==2.1.1+pt20cpu or torchvision==0.15.2+cpu
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# These are replaced with gpu-specific requirements in dl-gpu-requirements.txt.
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# Also remove pandas and cupy-cuda12x pins so cudf-cu12 dependencies can resolve.
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sed "/[0-9]\+cpu/d;/[0-9]\+pt/d;/^pandas==/d;/^cupy-cuda12x==/d" "requirements_compiled.txt" > requirements_compiled_gpu.txt
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# explicitly install (overwrite) pytorch with CUDA support
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pip --no-cache-dir install \
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-c requirements.txt \
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-c requirements_compiled_gpu.txt \
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-r dl-gpu-requirements.txt
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sudo apt-get clean
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# requirements_compiled.txt will be kept.
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sudo rm ./*requirements.txt requirements_compiled_gpu.txt
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# MuJoCo Installation.
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export MUJOCO_GL=osmesa
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wget https://github.com/google-deepmind/mujoco/releases/download/2.1.1/mujoco-2.1.1-linux-x86_64.tar.gz
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mkdir -p ~/.mujoco
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mv mujoco-2.1.1-linux-x86_64.tar.gz ~/.mujoco/.
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cd ~/.mujoco || exit
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tar -xf ~/.mujoco/mujoco-2.1.1-linux-x86_64.tar.gz
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export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:-}:/root/.mujoco/mujoco-2.1.1/bin
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