RuntimeError: a leaf Variable that requires grad has been used in an in-place operation.

[CheriseZhu]

I'm sure that all the packedge and codes are up to date. But it cannot run using default settings, and when setting decision_type="hyp", the hyrnn.MobiusDist2Hyperplane module still has a problem as follows.

File "....../hyrnn/nets.py", line 180, in init
self.tangent = geoopt.ManifoldParameter(tangent, manifold=sphere).proj_()
File "...../geoopt/tensor.py", line 40, in proj_
return copy_or_set_(self, self.manifold.projx(self))
File "..../geoopt/utils.py", line 24, in copy_or_set_
return dest.set_(source)
RuntimeError: a leaf Variable that requires grad has been used in an in-place operation.

[rrkarim]

Can you please install the requirements pip install -r requirements.txt and then check again. I've made some changes there.

[ferrine]

It is the projection on manifold that causes error, we changed that to have consistent behavior to pytorch. Inplace methods on leaf vars now require no_grad context

[ferrine]

This now should be fixed, could you please check?

[CheriseZhu]

After updating the hyrnn.MobiusDist2Hyperplane module, this error has been fixed.