Troubleshooting Tensorflow Lite in Bangle

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•

Gordon
The inputs (and outputs) of the Tensorflow implementation on Espruino are just flat arrays... So you want the result of print(input); to look like:
```
[ 
  -0.9...,
  0.52...,
 ...
 ...
]
```
then it should work

•

user130273 in reply to @Gordon

It works, thank you very much!

•

ThomasVikström in reply to @user130273
Hi @user130273, would you be willing to share your code? I've been able to collect data and train a model using Edge Impulse (if interested, see this tutorial I wrote). This is however using the Bangle gesture commands, but now I'd like to learn how to use raw accelerometer and other data.
Especially this part is unclear: when I've uploaded a trained model (.tfmodel + .tfnames) to the watch, how can I run inference code on it?

Edit: Aargh, it should be something in line with the below code that I've seen many times... Still interested to see your code though.
```
var model=atob("......");

var tf = require("tensorflow").create(2048, model);
tf.getInput()[0] = x;
tf.invoke();
print(tf.getOutput()[0]);
```

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