pkg: Update to tensorflow-lite:2.2.2, flatbuffers:1.12, gemmlowp:09.2018 #16416

sl1g18 · 2021-04-29T15:49:19Z

Contribution description

This PR updates the tensorflow-lite pkg version to v2.2.2. This was done to support new operations and optimization features available in newer versions of tflite. Flatbuffers was updated to v1.12 and gemmlowp:09.2018 to ensure compatibility.

Testing procedure

I ran the pkg_tensorflow-lite test with the updated packages on the samr21-xpro. This returned the nominal output: 'Digit prediction: 7'

Issues/PRs references

benpicco

Great, thank you for taking care of this!
We should really try to push #13911 forward.

Just one thing: please make sure commit messages are < 72 characters so they are not trunctaed & CI is happy.

pkg/tensorflow_lite: Update to v2.2.2

is entirely sufficient.

For gemmlowp you forgot the pkg/gemmlowp prefix in the commit message.

benpicco · 2021-04-29T16:11:19Z

pkg/flatbuffers/Makefile

@@ -1,6 +1,6 @@
 PKG_NAME=flatbuffers
 PKG_URL=https://github.com/google/flatbuffers
-PKG_VERSION=v1.11.0
+PKG_VERSION=6df40a2471737b27271bdd9b900ab5f3aec746c7


Suggested change

PKG_VERSION=6df40a2471737b27271bdd9b900ab5f3aec746c7

PKG_VERSION=6df40a2471737b27271bdd9b900ab5f3aec746c7 # 1.12

You can also use tags instead of the commit hash if those are available.

benpicco · 2021-04-29T16:11:50Z

pkg/tensorflow-lite/Makefile

@@ -1,6 +1,6 @@
 PKG_NAME=tensorflow-lite
 PKG_URL=https://github.com/tensorflow/tensorflow
-PKG_VERSION=1768c8f2fa155d4c6406e8ff7addf374c83de7ad
+PKG_VERSION=d745ff2a48cebf18e847e8b602a744e97e058946


Suggested change

PKG_VERSION=d745ff2a48cebf18e847e8b602a744e97e058946

PKG_VERSION=d745ff2a48cebf18e847e8b602a744e97e058946 # 2.2.2

benpicco · 2021-04-29T16:12:02Z

pkg/gemmlowp/Makefile

@@ -1,6 +1,6 @@
 PKG_NAME=gemmlowp
 PKG_URL=https://github.com/google/gemmlowp
-PKG_VERSION=dc69acdf61d7a64260ae0eb9c17421fef0488c02
+PKG_VERSION=719139ce755a0f31cbf1c37f7f98adcc7fc9f425


Suggested change

PKG_VERSION=719139ce755a0f31cbf1c37f7f98adcc7fc9f425

PKG_VERSION=719139ce755a0f31cbf1c37f7f98adcc7fc9f425 # 09.2018

sl1g18 · 2021-04-29T16:18:48Z

Great, thank you for taking care of this!
We should really try to push #13911 forward.

Just one thing: please make sure commit messages are < 72 characters so they are not trunctaed & CI is happy.
pkg/tensorflow_lite: Update to v2.2.2 
is entirely sufficient.

For gemmlowp you forgot the pkg/gemmlowp prefix in the commit message.

Thank you! This was my first pull request so wasn't sure what to expect! Should I edit the commit messages to remedy the omission/shorten the messages?

Best regards,
Sergiu

benpicco · 2021-04-29T16:20:27Z

Yes just run git rebase -i HEAD~3 and select 'reword' to edit the commit messages.

benpicco · 2021-04-29T16:30:15Z

Looks like the build fails now on RISC-V. (BOARD=hifive1)

sl1g18 · 2021-04-29T17:09:22Z

Looks like the build fails now on RISC-V. (BOARD=hifive1)

Very interesting, I'm wondering where the board builds diverge and why in this case?

aabadie · 2021-04-29T17:46:48Z

Thanks for trying to update tensorflow-lite package.

Regarding the failure on RISC-V, you have to add a patch file similar to the existing one, but applied to "tensorflow/lite/kernels/internal/reference/reduce.h" and it seems another one is needed for "tensorflow/lite/micro/kernels/activation_utils.h" with fmin/fmax functions but I don't know how to fix it.

sl1g18 · 2021-04-29T18:02:35Z

Thanks for trying to update tensorflow-lite package.

Regarding the failure on RISC-V, you have to add a patch file similar to the existing one, but applied to "tensorflow/lite/kernels/internal/reference/reduce.h" and it seems another one is needed for "tensorflow/lite/micro/kernels/activation_utils.h" with fmin/fmax functions but I don't know how to fix it.

It looks like it's because C++ 11 is required. Does RISC-V not support that with RIOT at the moment? I know that is the case with ESP32

benpicco · 2021-04-29T18:23:42Z

Can you try with

CXXEXFLAGS += -std=c++11

in tensorflow-lite/Makefile.include? The you could probably also drop the existing patch.

flatbuffers sets this too. (I wonder why it's not the default given that we already compile with -std=c11)

I think both RISC-V and esp32 toolchains should support C++11.

sl1g18 · 2021-04-29T18:31:44Z

Can you try with
CXXEXFLAGS += -std=c++11
in tensorflow-lite/Makefile.include? The you could probably also drop the existing patch.

flatbuffers sets this too. (I wonder why it's not the default given that we already compile with -std=c11)

I think both RISC-V and esp32 toolchains should support C++11.

Makefile.dep contains

USEMODULE += cpp11-compat
....
# C++ support on ESP32 in RIOT doesn't work with TensorFlow-Lite for the moment
FEATURES_BLACKLIST += arch_esp32

Which made me conclude that it doesn't work with ESP32. I will try your suggestion, but I'm getting a different error when compiling it locally.

Sergiu

aabadie · 2021-04-29T19:19:01Z

I'm getting a different error when compiling it locally.

It might be your RISCV toolchain version. Use the riotbuild docker image and you'll get the same failure:

$ BOARD=hifive1b BUILD_IN_DOCKER=1 make -C tests/pkg_tensorflow-lite --no-print-directory 
Launching build container using image "riot/riotbuild:latest".
docker run --rm --tty --user $(id -u) -v '/usr/share/zoneinfo/Europe/Paris:/etc/localtime:ro' -v '/work/riot/RIOT:/data/riotbuild/riotbase:delegated' -e 'RIOTBASE=/data/riotbuild/riotbase' -e 'CCACHE_BASEDIR=/data/riotbuild/riotbase' -e 'BUILD_DIR=/data/riotbuild/riotbase/build' -e 'RIOTPROJECT=/data/riotbuild/riotbase' -e 'RIOTCPU=/data/riotbuild/riotbase/cpu' -e 'RIOTBOARD=/data/riotbuild/riotbase/boards' -e 'RIOTMAKE=/data/riotbuild/riotbase/makefiles'      -e 'BOARD=hifive1b'  -w '/data/riotbuild/riotbase/tests/pkg_tensorflow-lite/' 'riot/riotbuild:latest' make  'EXTERNAL_MODULE_DIRS=/data/riotbuild/riotbase/tests/pkg_tensorflow-lite/mnist'   
Building application "tests_pkg_tensorflow-lite" for "hifive1b" with MCU "fe310".

"make" -C /data/riotbuild/riotbase/pkg/flatbuffers
"make" -C /data/riotbuild/riotbase/pkg/gemmlowp
"make" -C /data/riotbuild/riotbase/pkg/tensorflow-lite
"make" -C /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/c -f /data/riotbuild/riotbase/pkg/tensorflow-lite/Makefile.tensorflow-lite-c
"make" -C /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/core/api -f /data/riotbuild/riotbase/pkg/tensorflow-lite/Makefile.tensorflow-lite-core
"make" -C /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels -f /data/riotbuild/riotbase/pkg/tensorflow-lite/Makefile.tensorflow-lite-kernels
"make" -C /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal -f /data/riotbuild/riotbase/pkg/tensorflow-lite/Makefile.tensorflow-lite-kernels-internal
"make" -C /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/micro/kernels -f /data/riotbuild/riotbase/pkg/tensorflow-lite/Makefile.tensorflow-lite-micro-kernels
In file included from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/micro/kernels/reduce.cc:16:
/data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal/reference/reduce.h: In function 'bool tflite::reference_ops::QuantizedMeanOrSum(const T*, int32, float, const int*, int, T*, int32, float, const int*, int, const int*, int, bool, int*, int*, U*, bool)':
/data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal/reference/reduce.h:377:33: error: 'round' is not a member of 'std'; did you mean 'round'?
  377 |             static_cast<U>(std::round(temp_sum[idx] * scale + bias)) +
      |                                 ^~~~~
In file included from /opt/xpack-riscv-none-embed-gcc-10.1.0-1.1/riscv-none-embed/include/c++/10.1.0/cmath:45,
                 from /data/riotbuild/riotbase/build/pkg/gemmlowp/fixedpoint/fixedpoint.h:23,
                 from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal/common.h:24,
                 from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal/reference/reduce.h:19,
                 from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/micro/kernels/reduce.cc:16:
/opt/xpack-riscv-none-embed-gcc-10.1.0-1.1/riscv-none-embed/include/math.h:308:15: note: 'round' declared here
  308 | extern double round (double);
      |               ^~~~~
In file included from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/micro/kernels/reduce.cc:16:
/data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal/reference/reduce.h:387:27: error: 'round' is not a member of 'std'; did you mean 'round'?
  387 |             std::min(std::round(float_mean * scale + bias) + output_zero_point,
      |                           ^~~~~
In file included from /opt/xpack-riscv-none-embed-gcc-10.1.0-1.1/riscv-none-embed/include/c++/10.1.0/cmath:45,
                 from /data/riotbuild/riotbase/build/pkg/gemmlowp/fixedpoint/fixedpoint.h:23,
                 from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal/common.h:24,
                 from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/kernels/internal/reference/reduce.h:19,
                 from /data/riotbuild/riotbase/build/pkg/tensorflow-lite/tensorflow/lite/micro/kernels/reduce.cc:16:
/opt/xpack-riscv-none-embed-gcc-10.1.0-1.1/riscv-none-embed/include/math.h:308:15: note: 'round' declared here
  308 | extern double round (double);
      |               ^~~~~
/data/riotbuild/riotbase/Makefile.base:146: recipe for target '/data/riotbuild/riotbase/tests/pkg_tensorflow-lite/bin/hifive1b/tensorflow-lite-micro-kernels/reduce.o' failed
make[2]: *** [/data/riotbuild/riotbase/tests/pkg_tensorflow-lite/bin/hifive1b/tensorflow-lite-micro-kernels/reduce.o] Error 1
Makefile:20: recipe for target 'tensorflow-lite' failed
make[1]: *** [tensorflow-lite] Error 2
/data/riotbuild/riotbase/Makefile.include:709: recipe for target 'pkg-build-tensorflow-lite' failed
make: *** [pkg-build-tensorflow-lite] Error 2
make: *** [/work/riot/RIOT/makefiles/docker.inc.mk:314: ..in-docker-container] Error 2

The RISCV toolchain version in riotbuild Docker image is 10.1.0:

$ docker run --rm riot/riotbuild riscv-none-embed-gcc --version
riscv-none-embed-gcc (xPack GNU RISC-V Embedded GCC, 64-bit) 10.1.0
Copyright (C) 2020 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

aabadie · 2021-04-29T19:24:40Z

Does RISC-V not support that with RIOT at the moment?

Normally it should but maybe the C++-11 support might vary depending on the toolchain.

Can you try with

CXXEXFLAGS += -std=c++11

This is already added in the flatbuffers Makefile.include file, so applied to the whole build, including tflite, since it depends on it.

RIOT/pkg/flatbuffers/Makefile.include

Lines 10 to 11 in 4db2a86

    
           # This module requires cpp11 support 
        
           CXXEXFLAGS += -std=c++11

fjmolinas · 2021-11-18T09:57:57Z

@aabadie maybe you can take over this one?

benpicco added Area: pkg Area: External package ports CI: ready for build If set, CI server will compile all applications for all available boards for the labeled PR Type: enhancement The issue suggests enhanceable parts / The PR enhances parts of the codebase / documentation labels Apr 29, 2021

benpicco reviewed Apr 29, 2021

View reviewed changes

sl1g18 added 2 commits April 29, 2021 17:29

pkg/tensorflow_lite: Update to v2.2.2

d373b3e

pkg/flatbuffers: Updated to v1.12

1c487c6

pkg/gemmlowp: Updated to version to 08.2019 commit

024fda0

sl1g18 force-pushed the master branch from b3e26d0 to 024fda0 Compare April 29, 2021 16:30

fjmolinas requested a review from aabadie May 3, 2021 08:50

MrKevinWeiss added this to the Release 2021.07 milestone Jun 22, 2021

MrKevinWeiss removed this from the Release 2021.07 milestone Jul 15, 2021

benpicco requested a review from maribu September 22, 2021 19:59

aabadie mentioned this pull request Apr 8, 2022

pkg/tflite-micro: add support and deprecate tensorflow-lite #17908

Merged

aabadie closed this in #17908 Apr 8, 2022

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pkg: Update to tensorflow-lite:2.2.2, flatbuffers:1.12, gemmlowp:09.2018 #16416

pkg: Update to tensorflow-lite:2.2.2, flatbuffers:1.12, gemmlowp:09.2018 #16416

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	PKG_VERSION=6df40a2471737b27271bdd9b900ab5f3aec746c7
	PKG_VERSION=6df40a2471737b27271bdd9b900ab5f3aec746c7 # 1.12

	PKG_VERSION=d745ff2a48cebf18e847e8b602a744e97e058946
	PKG_VERSION=d745ff2a48cebf18e847e8b602a744e97e058946 # 2.2.2

	PKG_VERSION=719139ce755a0f31cbf1c37f7f98adcc7fc9f425
	PKG_VERSION=719139ce755a0f31cbf1c37f7f98adcc7fc9f425 # 09.2018

pkg: Update to tensorflow-lite:2.2.2, flatbuffers:1.12, gemmlowp:09.2018 #16416

pkg: Update to tensorflow-lite:2.2.2, flatbuffers:1.12, gemmlowp:09.2018 #16416

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sl1g18 commented Apr 29, 2021

Contribution description

Testing procedure

Issues/PRs references

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