Accessing hidden layer activations with python bindings

[FrugoFruit90]

With #1261 I am able to load a model and make predictions by following the example session.

However, I'm interested in the activations of intermediate layers. What is the easiest way to access them? Is it possible to load the weights in Tensorflow or PyTorch?

[int8]

any progress on that one ?

[mooskagh]

The easiest way to explore the network for now is to convert the network to ONNX format using

./lc0 leela2onnx --input=network.pb --output=network.onnx