I am having trouble on the assignment right now because I saw this error

`ValueError: Graph disconnected: cannot obtain value for tensor Tensor("input_2:0", shape=(None, 1, 90), dtype=float32) at layer "lstm_1". The following previous layers were accessed without issue: []`

While the error in the code it pointed towards `inference_model = Model(inputs=[x, a0, c0], outputs=outputs)`

I don’t understand how to solve this since I have got all the dimensions correctly, I don’t know where this error came from.

It also have a weird warning after it finish its run:

```
WARNING:tensorflow:Functional inputs must come from `tf.keras.Input` (thus holding past layer metadata), they cannot be the output of a previous non-Input layer. Here, a tensor specified as input to "functional_2" was not an Input tensor, it was generated by layer repeat_vector_49.
Note that input tensors are instantiated via `tensor = tf.keras.Input(shape)`.
```

Here is my code below:

```
# mentor edit - code removed
```

I have no idea how to address this problem

Best regards,