38 lines
1.4 KiB
Bash
Executable File
38 lines
1.4 KiB
Bash
Executable File
#!/bin/bash
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benchmark=benchmark_app
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inference_bin=openvino_src/inference-engine/bin/intel64/Release
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occlum_lib=/usr/local/occlum/x86_64-linux-musl/lib
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set -e
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# 1. Init Occlum Workspace
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rm -rf occlum_context
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mkdir occlum_context
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cd occlum_context
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occlum init
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new_json="$(jq '.resource_limits.user_space_size = "320MB" | .process.default_mmap_size = "256MB"' Occlum.json)" && \
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echo "${new_json}" > Occlum.json
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# 2. Copy files into Occlum Workspace and Build
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cp ../$inference_bin/$benchmark image/bin
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cp ../$inference_bin/lib/libinference_engine.so image/lib
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cp ../$inference_bin/lib/libformat_reader.so image/lib
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cp ../$inference_bin/lib/libcpu_extension.so image/lib
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cp ../$inference_bin/lib/libHeteroPlugin.so image/lib
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cp ../$inference_bin/lib/libMKLDNNPlugin.so image/lib
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cp ../$inference_bin/lib/plugins.xml image/lib
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cp $occlum_lib/libopencv_imgcodecs.so.4.1 image/lib
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cp $occlum_lib/libopencv_imgproc.so.4.1 image/lib
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cp $occlum_lib/libopencv_core.so.4.1 image/lib
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cp $occlum_lib/libopencv_videoio.so.4.1 image/lib
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cp $occlum_lib/libz.so.1 image/lib
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[ -e $occlum_lib/libtbb.so ] && cp $occlum_lib/libtbb.so image/lib
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[ -e $occlum_lib/libtbbmalloc.so ] && cp $occlum_lib/libtbbmalloc.so image/lib
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mkdir image/proc
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cp /proc/cpuinfo image/proc
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mkdir image/model
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cp -r ../model/* image/model
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occlum build
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# 3. Run benchmark
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occlum run /bin/$benchmark -m /model/age-gender-recognition-retail-0013.xml
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