Fix redundant kernel in sink dtype conversion (#8966)

python/sglang/srt/models/gpt_oss.py

@@ -247,7 +247,7 @@ class GptOssAttention(nn.Module):
         )
 
         self.sinks = nn.Parameter(
-            torch.empty(self.num_heads, dtype=params_dtype), requires_grad=False
+            torch.empty(self.num_heads, dtype=torch.float32), requires_grad=False
         )
 
         self.o_proj = RowParallelLinear(
@@ -301,7 +301,7 @@ class GptOssAttention(nn.Module):
         hidden_states, forward_batch, inner_state = intermediate_state
         if inner_state is None:
             return hidden_states
-        attn_output = self.attn(*inner_state, sinks=self.sinks.to(torch.float32))
+        attn_output = self.attn(*inner_state, sinks=self.sinks)
         output, _ = self.o_proj(attn_output)
         return output