[XPU] llama swiglu uses Paddle's native swiglu

paddlenlp/transformers/llama/modeling.py

@@ -647,20 +647,6 @@ def __init__(self, config):
 
     def forward(self, x):
         if self.fuse_attention_ffn:
-            # FIXME(yangjianbang): use paddle's native swiglu
-            if get_env_device() == "xpu":
-                try:
-                    import paddle_xpu_nn  # noqa: F821
-
-                    out = self.gate_up_fused_proj(x)
-                    out = paddle_xpu_nn.xpu_swiglu(out, axis=-1, turn=True)
-                    out = self.down_proj(out)
-                    return out
-                except ImportError:
-                    gate_out, up_out = paddle.chunk(self.gate_up_fused_proj(x), chunks=2, axis=-1)
-                    out = self.down_proj(F.silu(gate_out) * up_out)
-                    return out
-
             x = swiglu(self.gate_up_fused_proj(x))
         else:
             x = swiglu(self.gate_proj(x), self.up_proj(x))