Digging through the issues and I can’t find anything on this particular instance:
I’m trying to serialize a network that I’ve moved to the GPU and cast to HalfTensor. When I call torch.save(net,filename) I get the following error:
 File "<stdin>", line 1, in <module>
  File "torch/serialization.py", line 123, in save
    return _save(obj, f, pickle_module, pickle_protocol)
  File "torch/serialization.py", line 218, in _save
    _add_to_tar(save_storages, tar, 'storages')
  File "torch/serialization.py", line 31, in _add_to_tar
    fn(tmp_file)
  File "torch/serialization.py", line 189, in save_storages
    storage_type = normalize_storage_type(type(storage))
  File "torch/serialization.py", line 99, in normalize_storage_type
    return getattr(torch, storage_type.__name__)
AttributeError: 'module' object has no attribute 'HalfStorage'

I’ve tried casting to float, bringing the network back onto the cpu, and casting into a few other datatypes but it looks like a call to float() doesn’t change the underlying storage type in a way that would make this possible. If I don’t half() the tensor I can still save it just fine, but once I’ve called half() nothing I do apparently changes the underlying storage type back.
Any tips (or if this has been fixed in a recent PR that I’m not seeing) would be appreciated. Thanks again for all the help, this has been an extremely pleasant experience thus far.
Best,
Andy