Spresense SDK - Tensorflow : Flatbuffers missing

Arco

tf_example_micro_speech was successfully build -> flashed -> launched ( working correctly ) on my Spresense.

KamilTomaszewski

@Arco Thank you for your confirmation.

The problem is that the compiler doesn't have the path given where the flatbuffers library is. Even if you add it, you will encounter other errors. This is because there are two build systems. The first is NuttX which has its own implementations of standard libraries. The second is TensorFlow which uses the standard libraries from the compiler. When you try to build something with TensorFlow on NuttX then you have compatibility problems with standard libraries.

If you want to create a new application then you must include it in the TensorFlow system build. Then, in the NuttX application, call functions like in this example:
https://github.com/sonydevworld/spresense/blob/master/examples/tf_example

It is currently not possible to call TensorFlow functions directly from the NuttX application. This is only temporary because we are working to make it possible. This is the first SDK release that has allowed the TensorFlow examples to run on Spresense and unfortunately has some limitations.

I am sorry for the inconvenience.
Best Regards,
Kamil Tomaszewski

Arco

@KamilTomaszewski Thank for your help I own you one

Do you think that another solutions like CircuitPython or MicroEJ would be better for using TensorFlow ?

Thank you again

KamilTomaszewski

@Arco You're welcome.

Unfortunately, TensorFlow is currently only supported on the NuttX SDK.

Arco

Hello @KamilTomaszewski

after a while I came back to this issue.
I tried to create new project inside of /spresense/examples (same as tf_examples). I was following whole structure of tf_examples from Makefile, Kconfig to creating configuration files in /spresense/sdk/examples/.

I have launched ( hlasove_povely is name of the project )

$ tools/config.py hlasove_povely

and after that

$ make

But I am getting this output :

make[6]: *** No rule to make target `context'.  Stop.
make[5]: *** [hlasove_povely_context] Error 2
make[4]: *** [../examples/_context] Error 2
make[3]: *** [/Users/arcius/C++/Sony-Spresense/spresense/sdk/apps/.._context] Error 2
make[2]: *** [context_serialize] Error 2
make[1]: *** [context] Error 2
make: *** [all] Error 2

Am I something missing thanks

Arco

Right now after calling :

tools/config.py hlasove_povely

the response is :

make[6]: *** No rule to make target `preconfig'.  Stop.
make[5]: *** [Kconfig] Error 2
make[4]: *** [../examples/_preconfig] Error 2
make[3]: *** [preconfig] Error 2
make[2]: *** [Kconfig] Error 2
make[1]: *** [apps_preconfig] Error 2
make: *** [olddefconfig] Error 2
Post process failed. 512
Try 'make distclean' first.

(I tried 'make distclean' but didn't help)

Thanks

KamilTomaszewski

Hi @Arco

Do you include in your Makefile: include $(APPDIR)/Application.mk

The error could be because it is missing.

Arco

@KamilTomaszewski
Yes I do.

Makefile :

-include $(TOPDIR)/Make.defs
-include $(SDKDIR)/Make.defs

PROGNAME = $(CONFIG_EXAMPLES_HLASOVE_POVELY_PROGNAME)
PRIORITY = $(CONFIG_EXAMPLES_HLASOVE_POVELY_PRIORITY)
STACKSIZE = $(CONFIG_EXAMPLES_HLASOVE_POVELY_STACKSIZE)
MODULE = $(CONFIG_EXAMPLES_HLASOVE_POVELY)

MAINSRC = hlasove_povely_main.c

include $(APPDIR)/Application.mk

Make.defs :

ifneq ($(CONFIG_EXAMPLES_HLASOVE_POVELY),y)
CONFIGURED_APPS += hlasove_povely
endif

Kconfig :

config EXAMPLES_HLASOVE_POVELY
	tristate "Tensorflow Example app"
	default n
	---help---
		Enable the NuttX command line application for executing example of
		Tensorflow lite micro.

if EXAMPLES_HLASOVE_POVELY

config EXAMPLES_HLASOVE_POVELY_PROGNAME
	string "Program name"
	default "hlasove_povely"
	---help---
		This is the name of the program that will be use when the NSH ELF
		program is installed.

config EXAMPLES_HLASOVE_POVELY_PRIORITY
	int "hlasove_povely task priority"
	default 100

config EXAMPLES_HLASOVE_POVELY_STACKSIZE
	int "hlasove_povely stack size"
	default 32768

endif

KamilTomaszewski

Hi @Arco

Could you try to create a new example using this command:

sdk$ ./tools/mkcmd.py hlasove_povely

Arco

@KamilTomaszewski

Response is :

hlasove_povely already exists

KamilTomaszewski

@Arco

Delete or move your old example out of sdk and create a new one using this command.

KamilTomaszewski

@Arco Another thing I noticed in your example is incorrect code in Make.defs:

ifneq ($(CONFIG_EXAMPLES_HLASOVE_POVELY),y)
CONFIGURED_APPS += hlasove_povely
endif

It should be:

ifeq ($(CONFIG_EXAMPLES_HLASOVE_POVELY),y)
CONFIGURED_APPS += hlasove_povely
endif

ifneq -> ifeq

Arco

Thanks @KamilTomaszewski, you saved me once again !
Have a nice day ! ( make is working )

suburban-daredevil

Hey @arco

I am trying to create a new Tensorflow lite micro application based on image classification similar to the (/spresense/examples/tflmrt_lenet application) and deploy it on Spresense. Could you please share the steps to be followed to create the application?

Any kind of help is highly appreciated

Thanks in advance

suburban-daredevil

@arco said in Spresense SDK - Tensorflow : Flatbuffers missing:

Hello @KamilTomaszewski

after a while I came back to this issue.
I tried to create new project inside of /spresense/examples (same as tf_examples). I was following whole structure of tf_examples from Makefile, Kconfig to creating configuration files in /spresense/sdk/examples/.

I have launched ( hlasove_povely is name of the project )
$ tools/config.py hlasove_povely
and after that
$ make
But I am getting this output :
make[6]: *** No rule to make target `context'.  Stop.
make[5]: *** [hlasove_povely_context] Error 2
make[4]: *** [../examples/_context] Error 2
make[3]: *** [/Users/arcius/C++/Sony-Spresense/spresense/sdk/apps/.._context] Error 2
make[2]: *** [context_serialize] Error 2
make[1]: *** [context] Error 2
make: *** [all] Error 2
Am I something missing thanks

Can you share the structure (the make, kconfig and so on..) (or any link/resource that mentions it) that you followed (which you have mentioned here) ?

Thanks

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Spresense SDK - Tensorflow : Flatbuffers missing