[Feature Request] Enabling setting `out_keys` of `TensorDictModule`

[Xmaster6y]

Motivation

I would like to be able to modify the out_keys of my TensorModule (like I can with the in_keys).

It is required when the output of the underlying module changes. Previously, due to the _apparent_out_keys/out_keys_source logic, the changes were shallow to the TensorModule.

Solution

Quickest fix:

    @out_keys.setter
    def out_keys(self, value: List[Union[str, Tuple[str]]]):
        self._out_keys = unravel_key_list(value)

In order to keep the _apparent_out_keys/out_keys_source:

    @out_keys_source.setter
    def out_keys_source(self, value: List[Union[str, Tuple[str]]]):
        self._out_keys = unravel_key_list(value)

Alternatives

The only alternative for now is to set _out_keys directly.

Additional context

Exemple use case:

from tensordict import TensorDict
from tensordict.nn import TensorDictModule

net = nn.Linear(3, 4)
td_module = TensorDictModule(module=net, in_keys=["in"], out_keys=["out"])

def hook(module, args, output):
    return output, output.mean(dim=1)

net.register_forward_hook(hook)
td_module.out_keys = ["out1", "out2"]

td = TensorDict({"in": torch.randn(3, 3)}, [3])
td_module(td)

In my opinion, the _apparent_out_keys logic is a bit misleading and could be narrowed to select_out_keys and _OutKeysSelect.

Checklist

• I have checked that there is no similar issue in the repo (required)