28 lines
1.1 KiB
Bash
Executable File
28 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
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set -e
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script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
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# 1. Init occlum workspace
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[ -d occlum_instance ] || occlum new occlum_instance
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# 2. Install python and dependencies to specified position
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[ -f Miniconda3-latest-Linux-x86_64.sh ] || wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
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[ -d miniconda ] || bash ./Miniconda3-latest-Linux-x86_64.sh -b -p $script_dir/miniconda
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$script_dir/miniconda/bin/conda create --prefix $script_dir/python-occlum -y matplotlib numpy python=3.8.10 paddlepaddle==2.4.2 -c paddle
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# Remove miniconda and installation scripts
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rm -rf ./Miniconda3-latest-Linux-x86_64.sh $script_dir/miniconda
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CORE_PY=$script_dir/python-occlum/lib/python3.8/site-packages/paddle/fluid/core.py
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IMAGE_PY=$script_dir/python-occlum/lib/python3.8/site-packages/paddle/dataset/image.py
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# Adjust the source code to run in Occlum
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sed -i "186 i \ elif sysstr == 'occlum':\n return True" $CORE_PY
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sed -ie "37,64d" $IMAGE_PY
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sed -i "37 i \try:\n import cv2\nexcept ImportError:\n cv2 = None" $IMAGE_PY
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# Download the dataset
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git clone https://github.com/fgnt/mnist.git
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