remove overly restrictive checks for cudagraph (pytorch#80881)

Finish fixing pytorch#80809
Pull Request resolved: pytorch#80881
Approved by: https://github.com/jbschlosser

torch/optim/adamw.py

@@ -255,8 +255,6 @@ def _single_tensor_adamw(params: List[Tensor],
 
         if capturable:
             assert param.is_cuda and step_t.is_cuda, "If capturable=True, params and state_steps must be CUDA tensors."
-        else:
-            assert not step_t.is_cuda, "If capturable=False, state_steps should not be CUDA tensors."
 
         # update step
         step_t += 1
@@ -334,9 +332,6 @@ def _multi_tensor_adamw(params: List[Tensor],
     if capturable:
         assert all(p.is_cuda and step.is_cuda for p, step in zip(params, state_steps)), \
             "If capturable=True, params and state_steps must be CUDA tensors."
-    else:
-        assert all(not step.is_cuda for step in state_steps), \
-            "If capturable=False, state_steps should not be CUDA tensors."
 
     if maximize:
         grads = torch._foreach_neg(tuple(grads))  # type: ignore[assignment]