Dear all,

I am trying to inspect the hidden states of the recurrent part of the network, but I cannot find a way to retrieve the relevant tensors. Is there any way to do that?

A good starting point for me could be to retrieve the tensors corresponding to the output states as returned by `tf.nn.bidirectional_dynamic_rnn(...)`

as in:

My plan is to use the tensor name to retrieve the tensor value using `tf.Graph.get_tensor_by_name()`

. I started by retrieving all available names using

```
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
names = [n.name for n in graph_def.node]
```

but to the best of my understanding this list does not contain the name of the tensors I’m looking for. Am I on the right track?

Thanks in advance.

Roberto