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45 lines
2.2 KiB
45 lines
2.2 KiB
#!/bin/bash
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# The following script demonstrates how to execute a machine learning inference using the wasi-nn module optionally
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# compiled into Wasmtime. Calling it will download the necessary model and tensor files stored separately in $FIXTURE
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# into $TMP_DIR (optionally pass a directory with existing files as the first argument to re-try the script). Then,
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# it will compile the example code in crates/wasi-nn/tests/example into a Wasm file that is subsequently
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# executed with the Wasmtime CLI.
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set -e
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WASMTIME_DIR=$(dirname "$0" | xargs dirname)
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FIXTURE=https://github.com/intel/openvino-rs/raw/main/crates/openvino/tests/fixtures/mobilenet
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if [ -z "${1+x}" ]; then
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# If no temporary directory is specified, create one.
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TMP_DIR=$(mktemp -d -t ci-XXXXXXXXXX)
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REMOVE_TMP_DIR=1
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else
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# If a directory was specified, use it and avoid removing it.
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TMP_DIR=$(realpath $1)
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REMOVE_TMP_DIR=0
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fi
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# Inform the environment of OpenVINO library locations. Then we use OPENVINO_INSTALL_DIR below to avoid building all of
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# OpenVINO from source (quite slow).
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source /opt/intel/openvino/bin/setupvars.sh
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# Build Wasmtime with wasi-nn enabled; we attempt this first to avoid extra work if the build fails.
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OPENVINO_INSTALL_DIR=/opt/intel/openvino cargo build -p wasmtime-cli --features wasi-nn
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# Download all necessary test fixtures to the temporary directory.
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wget --no-clobber $FIXTURE/mobilenet.bin --output-document=$TMP_DIR/model.bin
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wget --no-clobber $FIXTURE/mobilenet.xml --output-document=$TMP_DIR/model.xml
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wget --no-clobber $FIXTURE/tensor-1x224x224x3-f32.bgr --output-document=$TMP_DIR/tensor.bgr
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# Now build an example that uses the wasi-nn API.
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pushd $WASMTIME_DIR/crates/wasi-nn/examples/classification-example
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cargo build --release --target=wasm32-wasi
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cp target/wasm32-wasi/release/wasi-nn-example.wasm $TMP_DIR
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popd
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# Run the example in Wasmtime (note that the example uses `fixture` as the expected location of the model/tensor files).
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cargo run -- run --mapdir fixture::$TMP_DIR $TMP_DIR/wasi-nn-example.wasm --wasi-modules=experimental-wasi-nn
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# Clean up the temporary directory only if it was not specified (users may want to keep the directory around).
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if [[ $REMOVE_TMP_DIR -eq 1 ]]; then
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rm -rf $TMP_DIR
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fi
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