Questions about HSN tutorial

[pyt-team]

Questions about HSN tutorial

[georg-bn]

Some more things about the training loop.

4. If as suggested above in 2., the softmax is removed, then the checks y_hat > 0.5 need to be replaced by y_hat > 0. Also for using binary_cross_entropy_with_logits it is probably most convenient to let the model output a 1D vector of logits instead of 2D as is done currently.
5. There's a crucial typo where y_pred[-len(y_train) :] should instead be y_pred[:len(y_train)] here:

   TopoModelX/tutorials/simplicial/hsn_train.ipynb

   Line 423 in ed4bd96

   " accuracy = (y_pred[-len(y_train) :] == y_train).all(dim=1).float().mean().item()\n",