5 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
8 if [ "$#" -le 0 ]; then
11 command -v "$@" > /dev/null 2>&1
16 echo "Convert TensorFlow model to nnpackage."
17 echo "Usage: tf2nnpkg --info <path/to/info> --graphdef <path/to/pb> [OPTION] -o <path/to/nnpkg/directory>"
21 # Parse command-line arguments
23 while [ "$#" -ne 0 ]; do
35 export GRAPHDEF_FILE="$2"
39 export OUTPUT_DIR="$2"
49 if [ -z ${GRAPHDEF_FILE} ] || [ ! -e ${GRAPHDEF_FILE} ]; then
50 echo "pb is not found. Please check --graphdef is correct."
54 if [ -z ${INFO_FILE} ] || [ ! -e ${INFO_FILE} ]; then
55 echo "info is not found. Please check --info is correct."
59 FILE_BASE=$(basename ${GRAPHDEF_FILE})
60 MODEL_NAME="${FILE_BASE%.*}"
62 trap "{ rm -rf $TMPDIR; }" EXIT
64 # activate python virtual environment
65 VIRTUALENV_LINUX="${ROOT}/bin/venv/bin/activate"
66 VIRTUALENV_WINDOWS="${ROOT}/bin/venv/Scripts/activate"
68 if [ -e ${VIRTUALENV_LINUX} ]; then
69 source ${VIRTUALENV_LINUX}
70 elif [ -e ${VIRTUALENV_WINDOWS} ]; then
71 source ${VIRTUALENV_WINDOWS}
74 # parse inputs, outputs from info file
75 INPUT=$(awk -F, '/^input/ { print $2 }' ${INFO_FILE} | cut -d: -f1 | tr -d ' ' | paste -d, -s)
76 OUTPUT=$(awk -F, '/^output/ { print $2 }' ${INFO_FILE} | cut -d: -f1 | tr -d ' ' | paste -d, -s)
78 # generate tflite file
79 python "${ROOT}/bin/tf2tfliteV2.py" --v1 --input_path ${GRAPHDEF_FILE} \
80 --output_path "${TMPDIR}/${MODEL_NAME}.tflite" \
81 --input_arrays ${INPUT} --output_arrays ${OUTPUT}
83 # convert .tflite to .circle
84 "${ROOT}/bin/tflite2circle" "${TMPDIR}/${MODEL_NAME}.tflite" "${TMPDIR}/${MODEL_NAME}.circle"
87 "${ROOT}/bin/circle2circle" "${TMPDIR}/${MODEL_NAME}.circle" "${TMPDIR}/${MODEL_NAME}.circle"
89 "${ROOT}/bin/model2nnpkg.sh" -o "${OUTPUT_DIR}" "${TMPDIR}/${MODEL_NAME}.circle"