Prashant Kumar answered . 2024-05-19 10:26:40

• To build the TensorFlow Lite dynamic library, you must install bazel (version 3.1.0 to 3.99.0) on the host Windows computer. See this link for more information: Installing Bazel on Windows
• You may need to add PYTHON_BIN_PATH to the bazel command if Bazel is not able to find the python paths
• Start the process of bazel-build from the Developer Command Prompt terminals provided with Visual Studio installations

% clone the git repo
git clone https://github.com/tensorflow/tensorflow.git  

% git clone will automatically download the code into a folder named `tensorflow`
cd tensorflow

% checkout version 2.4.1
git checkout v2.4.1

% install dependencies
pip --no-cache-dir install numpy future

% Download flatbuffers and other dependent files by running the following command from within the command prompt in Windows:
./tensorflow/lite/tools/make/download_dependencies.sh

% configure tensorflowlite installation
python ./configure.py

% build the dynamic library
bazel build -c opt //tensorflow/lite:tensorflowlite.dll

% it might be necessary to provide python path if it's not picked up automatically
bazel build -c opt //tensorflow/lite:tensorflowlite.dll --action_env PYTHON_BIN_PATH=

% Create a directory named lib and copy the contents of the bazel-bin directory into it.
cd bazel-bin
cp -r ../lib/

% To configure the MATLAB environment for TensorFlow Lite code generation, set the environment variables TFLITE_PATH
%  is the full-path to `tensorflow` folder where you have downloaded the source files
setenv('TFLITE_PATH’, ‘’);

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