tf-lite-unity-sample's Introduction

TensorFlow Lite for Unity Samples

Tested on macOS/iOS
Unity 2910.2.8

How to build tensorflow lite for Unity

Pre-build library is included. see following instructions if you want to build your own lib.

macOS

# Core Lib
bazel build -c opt --cxxopt=--std=c++11 tensorflow/lite/experimental/c:libtensorflowlite_c.so

# Use this branch to build metal GPU delegate dynamic library
# https://github.com/asus4/tensorflow/tree/tflite-macos-metal-delegate
bazel 'build' -c opt --copt -Os --copt -DTFLITE_GPU_BINARY_RELEASE --copt -fvisibility=hidden --linkopt -s --strip always --cxxopt=-std=c++14 --apple_platform_type=macos '//tensorflow/lite/delegates/gpu:tensorflow_lite_gpu_dylib'

then rename libtensorflowlite_c.so to libtensorflowlite_c.bundle

iOS

Download pre-build framework from CocoaPods

# Sample Podfile

platform :ios, '10.0'

target 'TfLiteSample' do
    pod 'TensorFlowLiteObjC', '0.0.1-nightly'
end

# and build Metal GPU delegete with bitcode option enabled
bazel build -c opt --cpu ios_arm64 --copt -Os --copt -DTFLITE_GPU_BINARY_RELEASE --copt -fvisibility=hidden --copt=-fembed-bitcode --linkopt -s --strip always --cxxopt=-std=c++14 //tensorflow/lite/delegates/gpu:tensorflow_lite_gpu_framework --apple_platform_type=ios

Android

If you do not have the Android SDK and NDK, intall Android Studio, SDK and NDK.

# Configure the Android SDK path by running configure script at repository root
./configure

# Build experimental
bazel build -c opt --cxxopt=--std=c++11 --config=android_arm64 //tensorflow/lite/experimental/c:libtensorflowlite_c.so

# Build GPU delegate
bazel build -c opt --config android_arm64 --copt -Os --copt -DTFLITE_GPU_BINARY_RELEASE --copt -fvisibility=hidden --linkopt -s --strip always //tensorflow/lite/delegates/gpu:libtensorflowlite_gpu_delegate.so