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package:lib-tflite (v3.0.0)
Copyright: See copyright in the source repository
License: See license in the source repository
Creation date: 2020-06-22
Source: GitHub
cID: 1dc07ee0f4742028:6adb15d2b22bef05

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Description  

This meta package is our attempt to provide a unified Python API, CLI and JSON meta description for different package managers and building tools to automatically download and install different components (models, data sets, libraries, frameworks, tools) necessary to run portable program pipelines across evolving platforms. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!

Dependencies    

ReadMe  

TensorFlow Lite package

This package builds TensorFlow Lite from the following official tagged releases of TensorFlow:

  • rel.1.13.1
  • rel.1.14.0
  • rel.1.15.0 (enables ruy, a new GEMM backend)
  • rel.1.15.3
  • rel.2.0.2 (fails on 32-bit Raspberry Pi OS)
  • rel.2.1.0
  • rel.2.1.1

Installation

To install a particular release, use one of the above variation tags e.g.:

$ ck install package --tags=lib,tflite,rel.1.15.3

Target-specific variations

Raspberry Pi 4, with 32-bit Raspberry Pi OS

To use the optimal compilation flags, add the rpi4 variation tag e.g.:

$ ck install package --tags=lib,tflite,rel.1.15.3,rpi4

NB: This is equivalent to:

$ ck install package --tags=lib,tflite,rel.1.15.3 \
--env.EXTRA_CXXFLAGS="-march=armv7-a+neon+vfpv4 -mfpu=neon-vfpv4"

Build-thread variations

To limit the number of build threads on a resource-constrained platform, add e.g.:

$ ck install package --tags=lib,tflite,rel.1.15.3,threads.2

NB: This is equivalent to:

$ ck install package --tags=lib,tflite,rel.1.15.3 \
--env.CK_HOST_CPU_NUMBER_OF_PROCESSORS=2

However, thread variations currently only support 1-4 threads, while CK_HOST_CPU_NUMBER_OF_PROCESSORS can be set to higher numbers.

Known issues

Cannot build v2.0.x on 32-bit Raspberry Pi OS

Building rel.2.0.2 on a Raspberry Pi 4 with 32-bit Raspberry Pi OS (GCC 8.3.0), runs into an assemler problem:

g++ -O3 -DNDEBUG -fPIC -flax-vector-conversions -fomit-frame-pointer -DTFLITE_WITH_RUY -march=armv7-a+neon+vfpv4 -mfpu=neon-vfpv4  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/../../../../../ -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/../../../../../../ -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/ -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/eigen -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/absl -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/gemmlowp -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/neon_2_sse -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/farmhash/src -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/flatbuffers/include -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/googletest/googletest/include/ -I/home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/downloads/googletest/googlemock/include/ -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/thread_pool.cc -o /home/lahiru/CK-TOOLS/lib-tflite-src-static-2.0.2-gcc-8.3.0-rel.2.0.2-rpi4-linux-32/src/tensorflow/lite/tools/make/gen/obj/tensorflow/lite/experimental/ruy/thread_pool.o^M
/tmp/ccvOXh3e.s: Assembler messages:
/tmp/ccvOXh3e.s:114: Error: immediate expression requires a # prefix -- `mov r0,0'

It is fine on a Raspberry Pi 4 with 64-bit Ubuntu 20.04 (GCC 9.3.0).

Cannot build for Android (taken from package:lib-tflite-1.15.0-src-static)

Tried installing with --target_os=android23-arm64 using Android NDK 17.2: - GCC 4.9.x complained about paths to stdint.h. - LLVM 6.0.2 failed when linking:

/home/anton/CK_TOOLS/lib-tflite-src-static-1.15.0-rc2-llvm-android-ndk-6.0.2-android23-arm64/src/tensorflow/lite/tools/make/gen/lib/libtensorflow-lite.a(c_api_internal.o): error adding symbols: File in wrong format
clang++: error: linker command failed with exit code 1 (use -v to see invocation)

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