GAN.load_state_dict()

This method is used to load a saved state dictionary of a trained Generative Adversarial Network (GAN) model. The state dictionary contains the values of all the parameters of the GAN model.

The syntax of the method is:

GAN.load_state_dict(state_dict, strict=True)

where:

- `GAN` is the GAN model object.
- `state_dict` is a dictionary object containing the saved state dictionary of the GAN model.
- `strict` is a boolean flag indicating whether to enforce strict loading of the state dictionary. If `True`, it will raise an error if the keys in the state dictionary do not exactly match the keys in the GAN model. If `False`, it will ignore any extra keys in the state dictionary.

After loading the state dictionary, the GAN model can be used for generating new samples or for further training.