Rob Guikers

Results 5 comments of Rob Guikers

@csala For loading the model directly you can use a helper class like : ``` class CPU_Unpickler(pickle.Unpickler): def find_class(self, module, name): if module == 'torch.storage' and name == '_load_from_bytes': return...

workaround: ``` class CPU_Unpickler(pickle.Unpickler): def find_class(self, module, name): if module == 'torch.storage' and name == '_load_from_bytes': return lambda b: torch.load(io.BytesIO(b), map_location=torch.device('cpu')) else: return super().find_class(module, name) model = CPU_Unpickler(open( './model.pkl', "rb"...

Same question was posted by me. Sorry for the duplicate. A small solution is this : ``` oauth: function(req, def, scopes, callback) { passport.authenticate('bearer', function(err, user, info) { if(err){ callback(new...

NPM update would be much appreciated! Thanks