**How severe does this issue affect your experience of using Ray?**

- High: It blocks me to complete my task.

Overall goal: to input a pytorch tensor into the method of a Ray Actor, perform some Pytorch operations on the tensor and output some result, call `.backward()`

on the result and get the gradient of the input with respect to the result. An example here:

```
@ray.remote
class MyActor:
def compute(self, x):
y = x * 2
z = y * torch.tensor([1.0, 2.0, 3.0], requires_grad=True)
return z
actor = MyActor.remote()
# Create an input tensor with requires_grad=True
x = torch.ones(3, requires_grad=True)
# Pass the tensor to the actor and perform computation
result = actor.compute.remote(x)
# Get the result tensor and backpropagate
output = ray.get(result)
loss = output.sum()
loss.backward()
print(x.grad)
```

Running this code, however, outputs `None`

when printing `x.grad`

instead of the gradient. How does one do this using Actors?