Enable QAT for static llama definition

Differential Revision: D79841467

Pull Request resolved: #13285

Author: navsud

examples/models/llama/rope.py

@@ -9,7 +9,7 @@
 
 import math
 from functools import partial
-from typing import Optional, Tuple
+from typing import Optional, Tuple, Union
 
 import torch
 from executorch.examples.models.llama.model_args import ModelArgs
@@ -47,9 +47,10 @@ def precompute_freqs_cis(
     use_scaled: bool = False,
     scale_factor: Optional[int] = None,
     high_freq_factor: int = 4,
+    device: Union[str, torch.device] = "cpu",
 ):
     freqs = 1.0 / (
-        theta ** (torch.arange(0, dim, 2, device="cpu")[: (dim // 2)].float() / dim)
+        theta ** (torch.arange(0, dim, 2, device=device)[: (dim // 2)].float() / dim)
     )
     t = torch.arange(end, device=freqs.device)  # pyre-ignore
     if use_scaled: