I’m wonder is that a correct way to init weights from pickled file for my model?
.PKL file was saved after last epoch of previous training of the same model (unfortunatelly, .ckpt file lost)
model = FaultNetPL(batch_size = 5).cuda()
model_w = torch.load('model_weights.pkl')
model.load_state_dict(model_w )

trainer.fit(model)

I tried to look for analogous questions, but answer always is to use weight_init method (which is (as I understood) iterate over all of layers of the model and set weights to each if them semi-manually)