## Question

Asked By – P. Camilleri

I am creating neural nets with `Tensorflow`

and `skflow`

; for some reason I want to get the values of some inner tensors for a given input, so I am using `myClassifier.get_layer_value(input, "tensorName")`

, `myClassifier`

being a `skflow.estimators.TensorFlowEstimator`

.

However, I find it difficult to find the correct syntax of the tensor name, even knowing its name (and I’m getting confused between operation and tensors), so I’m using tensorboard to plot the graph and look for the name.

Is there a way to enumerate all the tensors in a graph without using tensorboard?

**Now we will see solution for issue: In Tensorflow, get the names of all the Tensors in a graph **

## Answer

You can do

```
[n.name for n in tf.get_default_graph().as_graph_def().node]
```

Also, if you are prototyping in an IPython notebook, you can show the graph directly in notebook, see `show_graph`

function in Alexander’s Deep Dream notebook

This question is answered By – Yaroslav Bulatov

**This answer is collected from stackoverflow and reviewed by FixPython community admins, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 **