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build_tflite.py
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build_tflite.py
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#!/usr/bin/env python3
import argparse
import glob
import os
import platform
import shlex
import shutil
import subprocess
import sys
PLUGIN_PATH=f'{os.getcwd()}/Packages/com.github.asus4.tflite/Plugins'
TENSORFLOW_PATH=''
def run_cmd(cmd):
print(cmd)
args = shlex.split(cmd)
is_shell = platform.system() == 'Windows'
ret = subprocess.call(args, cwd=TENSORFLOW_PATH, shell=is_shell)
if ret != 0:
sys.exit(ret)
def copy(from_tf, to_unity):
shutil.copy(f'{TENSORFLOW_PATH}/{from_tf}', f'{PLUGIN_PATH}/{to_unity}')
def unzip(from_tf, to_unity):
subprocess.call(['unzip', '-o', f'{TENSORFLOW_PATH}/{from_tf}', '-d' f'{PLUGIN_PATH}/{to_unity}'])
def patch(file_path, target_str, patched_str):
with open(file_path, 'r', encoding='utf-8') as file:
source = file.read()
source = source.replace(target_str, patched_str)
with open(file_path, 'w', encoding='utf-8') as file:
file.write(source)
def build_mac(enable_xnnpack = True):
# Main
option_xnnpack = 'true' if enable_xnnpack else 'false'
run_cmd(f'bazel build --config=macos --cpu=darwin -c opt --define tflite_with_xnnpack={option_xnnpack} tensorflow/lite/c:tensorflowlite_c')
run_cmd(f'bazel build --config=macos_arm64 --cpu=darwin_arm64 -c opt --define tflite_with_xnnpack={option_xnnpack} tensorflow/lite/c:tensorflowlite_c')
dylib_bin_path = 'bin/tensorflow/lite/c/libtensorflowlite_c.dylib'
run_cmd(f'lipo -create -output {PLUGIN_PATH}/macOS/libtensorflowlite_c.dylib bazel-out/darwin-opt/{dylib_bin_path} bazel-out/darwin_arm64-opt/{dylib_bin_path}')
# Metal Delegate
# v2.3.0 or later, Need to apply the following patch to build metal delegate
# For further info
# https://github.com/tensorflow/tensorflow/issues/41039#issuecomment-664701908
cpuinfo_file = f'{TENSORFLOW_PATH}/bazel-tensorflow/external/cpuinfo/BUILD.bazel'
original = '"cpu": "darwin",'
patched = '"cpu": "darwin_x86_64",'
patch(cpuinfo_file, original, patched)
run_cmd('bazel build --config=macos --cpu=darwin_x86_64 --macos_cpus=x86_64 --apple_platform_type=macos --cxxopt=--std=c++17 -c opt --copt -Os --copt -DTFLITE_GPU_BINARY_RELEASE --copt -fvisibility=default --linkopt -s --strip always //tensorflow/lite/delegates/gpu:tensorflow_lite_gpu_dylib')
run_cmd('bazel build --config=macos_arm64 --cpu=darwin_arm64 --macos_cpus=arm64 --apple_platform_type=macos --cxxopt=--std=c++17 -c opt --copt -Os --copt -DTFLITE_GPU_BINARY_RELEASE --copt -fvisibility=default --linkopt -s --strip always //tensorflow/lite/delegates/gpu:tensorflow_lite_gpu_dylib')
# Export path contains postfix like `applebin_macos-darwin_arm64-opt-ST-*`
metal_delegate_pathes = glob.glob(f'{TENSORFLOW_PATH}/bazel-out/applebin_macos-darwin*/bin/tensorflow/lite/delegates/gpu/tensorflow_lite_gpu_dylib.dylib')
print(metal_delegate_pathes)
run_cmd(f'lipo -create -output {PLUGIN_PATH}/macOS/libtensorflowlite_metal_delegate.dylib ' + ' '.join(metal_delegate_pathes))
# Restore patch
patch(cpuinfo_file, patched, original)
def build_windows(enable_xnnpack = True):
# Main
option_xnnpack = 'true' if enable_xnnpack else 'false'
run_cmd(f'bazel build -c opt --define tflite_with_xnnpack={option_xnnpack} tensorflow/lite/c:tensorflowlite_c')
copy('bazel-bin/tensorflow/lite/c/tensorflowlite_c.dll', 'Windows/libtensorflowlite_c.dll')
# TODO support GPU Delegate
def build_linux(enable_xnnpack = True):
# Tested on Ubuntu 18.04.5 LTS
# Main
option_xnnpack = 'true' if enable_xnnpack else 'false'
run_cmd(f'bazel build -c opt --define tflite_with_xnnpack={option_xnnpack} tensorflow/lite/c:tensorflowlite_c')
copy('bazel-bin/tensorflow/lite/c/libtensorflowlite_c.so', 'Linux/x86_64/libtensorflowlite_c.so')
# For Embedded Linux
run_cmd(f'bazel build --config=elinux_aarch64 -c opt --define tflite_with_xnnpack={option_xnnpack} tensorflow/lite/c:tensorflowlite_c')
copy('bazel-bin/tensorflow/lite/c/libtensorflowlite_c.so', 'Linux/arm64/libtensorflowlite_c.so')
# GPU Delegate
# See MediaPipe docs to setup EGL on Linux https://google.github.io/mediapipe/getting_started/gpu_support.html#opengl-es-setup-on-linux-desktop
# Also, you need link EGL and GLESv2 for Linux platform, will make a patch for this
# https://github.com/tensorflow/tensorflow/blob/5850c0ba26745f92456234c34ed258b472f07487/tensorflow/lite/delegates/gpu/build_defs.bzl#L3-L15
run_cmd('bazel build --config=linux -c opt --copt -Os --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 --copt -DCL_TARGET_OPENCL_VERSION=210 --copt -fvisibility=default --linkopt -s --strip always //tensorflow/lite/delegates/gpu:libtensorflowlite_gpu_delegate.so')
copy('bazel-bin/tensorflow/lite/delegates/gpu/libtensorflowlite_gpu_delegate.so', 'Linux/x86_64/libtensorflowlite_gpu_delegate.so')
# GPU Delegate for Embedded Linux, the cross-compile will not work as EGL it not linked correctly with aarch64_linux_toolchain
# run_cmd('bazel build --config=elinux_aarch64 -c opt --copt -Os --copt -DCL_DELEGATE_NO_GL --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 --copt -DCL_TARGET_OPENCL_VERSION=210 --copt -fvisibility=default --linkopt -s --strip always //tensorflow/lite/delegates/gpu:libtensorflowlite_gpu_gl.so')
def build_ios():
# Main
run_cmd('bazel build -c opt --config=ios_arm64 --cxxopt=--std=c++17 //tensorflow/lite/ios:TensorFlowLiteC_framework')
unzip('bazel-bin/tensorflow/lite/ios/TensorFlowLiteC_framework.zip', 'iOS')
# Metal Delegate
run_cmd('bazel build -c opt --config=ios_arm64 --cxxopt=--std=c++17 //tensorflow/lite/ios:TensorFlowLiteCMetal_framework')
unzip('bazel-bin/tensorflow/lite/ios/TensorFlowLiteCMetal_framework.zip', 'iOS')
# CoreML Delegate
run_cmd('bazel build -c opt --config=ios_arm64 --cxxopt=--std=c++17 //tensorflow/lite/ios:TensorFlowLiteCCoreML_framework')
unzip('bazel-bin/tensorflow/lite/ios/TensorFlowLiteCCoreML_framework.zip', 'iOS')
# SelectOps Delegate
# run_cmd('bazel build -c opt --config=ios --ios_multi_cpus=armv7,arm64,x86_64 //tensorflow/lite/ios:TensorFlowLiteSelectTfOps_framework')
# unzip('bazel-bin/tensorflow/lite/ios/TensorFlowLiteSelectTfOps_framework.zip', 'iOS')
def build_android(enable_xnnpack = True):
# Main
option_xnnpack = 'true' if enable_xnnpack else 'false'
run_cmd(f'bazel build -c opt --fat_apk_cpu=arm64-v8a,armeabi-v7a,x86_64 //tensorflow/lite/java:tensorflow-lite')
copy('bazel-bin/tensorflow/lite/java/tensorflow-lite.aar', 'Android')
# GPU Delegate
run_cmd('bazel build -c opt --fat_apk_cpu=arm64-v8a,armeabi-v7a,x86_64 //tensorflow/lite/java:tensorflow-lite-gpu')
copy('bazel-bin/tensorflow/lite/java/tensorflow-lite-gpu.aar', 'Android')
# GL Delegate
run_cmd('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_gl.so')
copy('bazel-bin/tensorflow/lite/delegates/gpu/libtensorflowlite_gpu_gl.so', 'Android/arm64-v8a')
run_cmd('bazel build -c opt --config=android_arm --copt -Os --copt -DTFLITE_GPU_BINARY_RELEASE --copt -fvisibility=hidden --linkopt -s --strip always //tensorflow/lite/delegates/gpu:libtensorflowlite_gpu_gl.so')
copy('bazel-bin/tensorflow/lite/delegates/gpu/libtensorflowlite_gpu_gl.so', 'Android/armeabi-v7a')
# NNAPI Delegate
# run_cmd('bazel build -c opt --config=android_arm64 //tensorflow/lite/delegates/nnapi:nnapi_delegate')
# copy('bazel-bin/tensorflow/lite/delegates/nnapi/libnnapi_delegate.so', 'Android')
if __name__ == '__main__':
parser = argparse.ArgumentParser(description = 'Update TensorFlow Lite libraries for Unity')
parser.add_argument('--tfpath', default = '../tensorflow', type = str,
help = 'The path of the TensorFlow repository')
parser.add_argument('-macos', action = "store_true", default = False,
help = 'Build macOS')
parser.add_argument('-windows', action = "store_true", default = False,
help = 'Build Windows')
parser.add_argument('-linux', action = "store_true", default = False,
help = 'Build Linux')
parser.add_argument('-ios', action = "store_true", default = False,
help = 'Build iOS')
parser.add_argument('-android', action = "store_true", default = False,
help = 'Build Android')
parser.add_argument('-xnnpack', action = "store_true", default = True,
help = 'Build with XNNPACK')
args = parser.parse_args()
TENSORFLOW_PATH = os.path.abspath(args.tfpath)
platform_name = platform.system()
if args.macos:
assert platform_name == 'Darwin', f'-macos not supported on the platform: {platform_name}'
print('Build macOS')
build_mac(args.xnnpack)
if args.windows:
assert platform_name == 'Windows', f'-windows not supported on the platform: {platform_name}'
print('Build Windows')
build_windows(args.xnnpack)
if args.linux:
assert platform_name == 'Linux', f'-linux not supported on the platform: {platform_name}'
print('Build Linux')
build_linux(args.xnnpack)
if args.ios:
assert platform_name == 'Darwin', f'-ios not supported on the platform: {platform_name}'
# Need to set iOS build option in ./configure
print('Build iOS')
build_ios()
if args.android:
# Need to set Android build option in ./configure
print('Build Android')
build_android(args.xnnpack)