Hi,

I’m following 自定义算子 | TensorFlow Lite to create a custom operator (to use it on a micocontroller) which can be supported by Tensorflow Lite. For the sine operator the tutorial uses

```
converter = tf.lite.TFLiteConverter.from_concrete_functions([sin.get_concrete_function(x)])
converter.allow_custom_ops = True
tflite_model = converter.convert()
```

Does this snippet of code allow you to convert the entire model which uses sine op, right?

Hi @Gianni_Rossi ,

For the function `from_concrete_functions`

, along with ` sin.get_concrete_function(x)`

you need to pass defined sine function. Please see the modified code snippet for conversion .

```
# Convert the model to TensorFlow Lite
converter = tf.lite.TFLiteConverter.from_concrete_functions([my_function.get_concrete_function(tf.constant(x, dtype=tf.float32))], my_function)
converter.allow_custom_ops = True
tflite_model = converter.convert()
```

Also find the complete code in the gist for custom sine operator conversion