qwen3-omni online reference server bugfix

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>

Author: Meihan-chen

vllm_ascend/worker/model_runner_v1.py

@@ -273,7 +273,7 @@ class NPUModelRunner(LoRAModelRunnerMixin):
 
     def __init__(self, vllm_config: VllmConfig, device: torch.device):
         self.vllm_config = vllm_config
-        self.model_config = vllm_config.model_config
+        self.model_config = vllm_config.model_configi
         self.cache_config = vllm_config.cache_config
         self.compilation_config = vllm_config.compilation_config
         self.load_config = vllm_config.load_config
@@ -1943,26 +1943,27 @@ def _generate_process_reqs_hidden_states(self, attn_metadata, with_prefill,
     def _build_attn_state(self, num_reqs, num_scheduled_tokens,
                           num_valid_tokens):
         ascend_config = get_ascend_config()
-        if np.array_equal(self.seq_lens_np[:num_reqs], num_scheduled_tokens):
-            attn_state = AscendAttentionState.PrefillNoCache
-        # We assume it is the decode stage, where prefill occurs but only one token is not hit in cache.
-        elif np.all(num_scheduled_tokens == 1):
-            attn_state = AscendAttentionState.DecodeOnly
-            if self.speculative_config and self.speculative_config.method == 'deepseek_mtp':
-                # SpecDecoding now supports seq_len=1 and seq_len=2
-                # In Prefilling Decoding Disaggregation scenario, SpecDecoding need to supports seq_len=1
-                attn_state = AscendAttentionState.SpecDecoding
-        # Speculative decoding.
-        elif np.all(num_valid_tokens == 1):
-            if self.speculative_config and self.speculative_config.method == 'deepseek_mtp':
-                attn_state = AscendAttentionState.SpecDecoding
-            else:
-                attn_state = AscendAttentionState.ChunkedPrefill
-        # splitfuse
-        elif not ascend_config.ascend_scheduler_config.enabled or self.chunked_prefill_enabled:
-            attn_state = AscendAttentionState.ChunkedPrefill
-        else:
-            attn_state = AscendAttentionState.PrefillCacheHit
+        attn_state = AscendAttentionState.ChunkedPrefill
+        # if np.array_equal(self.seq_lens_np[:num_reqs], num_scheduled_tokens):
+        #     attn_state = AscendAttentionState.PrefillNoCache
+        # # We assume it is the decode stage, where prefill occurs but only one token is not hit in cache.
+        # elif np.all(num_scheduled_tokens == 1):
+        #     attn_state = AscendAttentionState.DecodeOnly
+        #     if self.speculative_config and self.speculative_config.method == 'deepseek_mtp':
+        #         # SpecDecoding now supports seq_len=1 and seq_len=2
+        #         # In Prefilling Decoding Disaggregation scenario, SpecDecoding need to supports seq_len=1
+        #         attn_state = AscendAttentionState.SpecDecoding
+        # # Speculative decoding.
+        # elif np.all(num_valid_tokens == 1):
+        #     if self.speculative_config and self.speculative_config.method == 'deepseek_mtp':
+        #         attn_state = AscendAttentionState.SpecDecoding
+        #     else:
+        #         attn_state = AscendAttentionState.ChunkedPrefill
+        # # splitfuse
+        # elif not ascend_config.ascend_scheduler_config.enabled or self.chunked_prefill_enabled:
+        #     attn_state = AscendAttentionState.ChunkedPrefill
+        # else:
+        #     attn_state = AscendAttentionState.PrefillCacheHit
         return attn_state
 
     def _update_graph_pad_size(self, with_prefill, graph_pad_size):