Lesson 7. Trusted Aggregator issue: set_storage is not allowed on Tensor created from .data or .detach()

[RansSelected]

Hi!
I followed the "Project Demo Federated Learning with Trusted Aggregator" video in Lesson 7. It appears to be a problem with this part of the code
model.weight.data.set_(((alices_model.weight.data + bobs_model.weight.data) / 2).get()) cause it reise an error:
RuntimeError: set_storage is not allowed on Tensor created from .data or .detach()

At the same time ((alices_model.weight.data + bobs_model.weight.data) / 2).get() provide a normal tensor as an output.

How is it possible to solve this issue?

Characteristics of my environment:

• Python 3.7.3

• Torch 1.1.0.post2

• Syft 0.1.21a1

• Jupyter notebook

• MacOS Mojave 10.14.5

[enaymerich]

I've seen that this is due to an update in pytorch:
here a post on the update
pytorch/pytorch#15070
here a similar issue with in-place op
microsoft/NeuronBlocks#13
I personally had the same problem, and I think I solved by assigning to model.weight.data the weigths like this:
model.weight.data = ((alices_model.weight.data + bobs_model.weight.data) / 2).get()

[danielpesa7]

Same problem here, thanks @enaymerich for the solution, it totally worked.