Hi all,
I tried to fix this problem several days, but I still cannot find the solution. Could someone help me? Thx in advance.
I use the Apple Os, and have installed all the tools required, such as python, make, git and so on. Here are my steps:

1. clone this repo: git clone https://github.com/advaitjain/tflite-micro-sparkfun-edge-examples.git
2. cd into the directory, and type: make TARGET=sparkfun_edge micro_speech
3. during the make process, the arm compiler was downloaded success into the downloads directory.
4. the process finished without any error and the result file was saved at gen/bin/micro_speech, also the libtflm.a.
5. I prepared the OTA bin and Wired bin files according to the steps of the tutorial: https://codelabs.developers.google.com/codelabs/sparkfun-tensorflow#3, but with the offical AmbiqSuite SDK: https://github.com/sparkfun/AmbiqSuiteSDK. Because I found we dont have some tools, such as AmbiqSuite-Rel2.2.0/tools/*. Then I got some size warnings like:
   python tools/apollo3_scripts/create_cust_wireupdate_blob.py --load-address 0x20000 --bin micro_speech_ota.bin -i 6 -o micro_speech_wire --options 0x1
   Header Size = 0x60
   app_size 0x4f69a4 ( 5204388 )
   Image size bigger than max - Creating Split image
   Writing to file micro_speech_wire.bin
   Image from 0x0 to 0x48000 will be loaded at 0x20000
   Writing to file micro_speech_wire.bin
   Image from 0x48000 to 0x90000 will be loaded at 0x68000
   Writing to file micro_speech_wire.bin
   Image from 0x90000 to 0xd8000 will be loaded at 0xb0000
   Writing to file micro_speech_wire.bin
   Image from 0xd8000 to 0x120000 will be loaded at 0xf8000
   Writing to file micro_speech_wire.bin
   Image from 0x120000 to 0x168000 will be loaded at 0x140000
   Writing to file micro_speech_wire.bin
   Image from 0x168000 to 0x1b0000 will be loaded at 0x188000
   Writing to file micro_speech_wire.bin
   Image from 0x1b0000 to 0x1f8000 will be loaded at 0x1d0000
   Writing to file micro_speech_wire.bin
   Image from 0x1f8000 to 0x240000 will be loaded at 0x218000
   Writing to file micro_speech_wire.bin
   Image from 0x240000 to 0x288000 will be loaded at 0x260000
   Writing to file micro_speech_wire.bin
   Image from 0x288000 to 0x2d0000 will be loaded at 0x2a8000
   Writing to file micro_speech_wire.bin
   Image from 0x2d0000 to 0x318000 will be loaded at 0x2f0000
   Writing to file micro_speech_wire.bin
   Image from 0x318000 to 0x360000 will be loaded at 0x338000
   Writing to file micro_speech_wire.bin
   Image from 0x360000 to 0x3a8000 will be loaded at 0x380000
   Writing to file micro_speech_wire.bin
   Image from 0x3a8000 to 0x3f0000 will be loaded at 0x3c8000
   Writing to file micro_speech_wire.bin
   Image from 0x3f0000 to 0x438000 will be loaded at 0x410000
   Writing to file micro_speech_wire.bin
   Image from 0x438000 to 0x480000 will be loaded at 0x458000
   Writing to file micro_speech_wire.bin
   Image from 0x480000 to 0x4c8000 will be loaded at 0x4a0000
   Writing to file micro_speech_wire.bin
   Image from 0x4c8000 to 0x4f69a4 will be loaded at 0x4e8000
6. Anyway, the wired bin is generated successfully, then I used the python script to flash the Wired bin file to my SparkFun Edge Board, according to the tutorial: https://codelabs.developers.google.com/codelabs/sparkfun-tensorflow#5, but I was failed with no Response error.
7. I think I operated correctly when pressing and releasing the buttons, since I successfully flash the example bin file from the offical AmbiqSuite SDK BSP repo: https://github.com/sparkfun/SparkFun_Apollo3_AmbiqSuite_BSPs/tree/6398086a1a87ddea78274521683ba3ad817bee82/edge/examples/tensorflow_micro_speech , accordind to the SparkFun tutorial: https://learn.sparkfun.com/tutorials/using-sparkfun-edge-board-with-ambiq-apollo3-sdk/example-applications
8. I was surprised to find that the size of the generated bin file gen/bin/micro_speech here (~5.2Mb) is larger than the pre-compiled one in SparkFun_Apollo3_AmbiqSuite_BSPs repo (98Kb), which may result in the warning in step 6 and finally lead to the failure of flashing.
9. I changed to the Ubuntu and Windows, but still cannot flash successfully.

I donnt know how to search the solution, it has taken many days for me to find the answer.
Thx everyone.

On 08/29/22 I created my src files with the following command.python3 tensorflow/lite/micro/tools/project_generation/create_tflm_tree.py
-e hello_world
-e micro_speech
-e magic_wand
-e person_detection
/tmp/tflm-tree

My repo https://github.com/develone/pico-tflmicro-090222 now provides a working hello_world..
-rw-r--r-- 1 devel devel 1781138 Sep 4 09:02 libpico-tflmicro.a
This uses pico-sdk https://github.com/develone/pico-sdk 1.4.0

What is my next step to get tensorflow for the Raspberry Pi Pico.
I did a pull request on https://github.com/raspberrypi/pico-tflmicro/pulls on an outdated build
https://github.com/raspberrypi/pico-tflmicro.
Is there a pico teneorflow some where on github?

Hi,

I have a sparkfun edge lying around and have a hard time finding the right libraries to support it. This seems to be a repo that has it all, but I don't really understand how to get started with it.
Could anyone point me in the right direction please?

Best regards

Hello,

I was wondering where the scripts for flashing binaries to the Sparkfun Edge have gone after all Sparkfun Edge-related code and examples have been moved to this repo. In particular, I'm talking about the Python scripts mentioned in steps 4 and 6 of this old tutorial.

When TFLite micro was still included in the main TF repo, such scripts where located under tensorflow/lite/micro/tools/make/downloads/AmbiqSuite-Rel2.2.0/tools/apollo3_scripts, but now I can't find them anywhere. Where to find them then? Or has the way we deploy binaries to the Sparkfun Edge changed by any chance?