docker/install/ubuntu_install_tflite.sh

#!/bin/bash
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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
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# specific language governing permissions and limitations
# under the License.

set -e
set -u
set -o pipefail

# Download, build and install flatbuffers
git clone --branch=v1.12.0 --depth=1 --recursive https://github.com/google/flatbuffers.git
cd flatbuffers
cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=Release
make install -j8
cd ..

# Install flatbuffers python packages.
pip3 install flatbuffers

# Build the TFLite static library, necessary for building with TFLite ON.
# The library is built at:
# tensorflow/tensorflow/lite/tools/make/gen/*/lib/libtensorflow-lite.a.
git clone https://github.com/tensorflow/tensorflow --branch=r2.1
./tensorflow/tensorflow/lite/tools/make/download_dependencies.sh
./tensorflow/tensorflow/lite/tools/make/build_lib.sh

# Setup tflite from schema
mkdir tflite
cd tflite
wget -q https://raw.githubusercontent.com/tensorflow/tensorflow/r2.1/tensorflow/lite/schema/schema.fbs
flatc --python schema.fbs

cat <<EOM >setup.py
import setuptools

setuptools.setup(
    name="tflite",
    version="2.1.0",
    author="google",
    author_email="google@google.com",
    description="TFLite",
    long_description="TFLite",
    long_description_content_type="text/markdown",
    url="https://www.tensorflow.org/lite",
    packages=setuptools.find_packages(),
    classifiers=[
        "Programming Language :: Python :: 2",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
)
EOM

cat <<EOM >__init__.py
name = "tflite"
EOM

# Install tflite over python3
python3 setup.py install

cd ..
rm -rf tflite