torch.Tensor.module_load

Tensor.module_load(other, assign=False)

Defines how to transform other when loading it into self in load_state_dict().

Used when get_swap_module_params_on_conversion() is True.

It is expected that self is a parameter or buffer in an nn.Module and other is the value in the state dictionary with the corresponding key, this method defines how other is remapped before being swapped with self via swap_tensors`() in module.load_state_dict().

Note

This method should always return a new object that is not self or other. For example, the default implementation returns self.copy_(other).detach() if assign is False or other.detach() if assign is True.

Parameters

• other (Tensor) – value in state dict with key corresponding to self

• assign (bool) – the assign argument passed to nn.Module.load_state_dict()