fix gptj could not jit.trace in GPU (#23317)

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

src/transformers/models/gptj/modeling_gptj.py

@@ -212,7 +212,7 @@ def forward(
         key = self._split_heads(key, self.num_attention_heads, self.head_dim, True)
         value = self._split_heads(value, self.num_attention_heads, self.head_dim, False)
 
-        if is_torch_fx_proxy(position_ids):
+        if is_torch_fx_proxy(position_ids) or torch.jit.is_tracing():
             # The logic to conditionally copy to GPU could not be traced, so we do this
             # every time in the torch.fx case
             embed_positions = get_embed_positions(self.embed_positions, position_ids)