Does creating multiple model instances resets the weights as well?

I was wondering if instantiating a model inside a loop would reset the params in each instance of the model.
For example if we had something like the following:

for iter in range(5):
     model = Model()
     optim = torch.optim.Adam(model.parameters())

Some initial experimentation indicates that the above is true but just wanted to verify this from the devs or community experts.


Never mind folks found the answer here