[fix]qwen2vl support fa3

lightllm/models/llama/flashattention_infer_struct.py

@@ -24,8 +24,7 @@ def get_page_table_buffer(cls, graph_max_batch_size: int, max_seq_len: int):
             ]
         return cls._shared_page_table_buffer
 
-    def init_some_extra_state(self, model, input_ids: torch.Tensor):
-        super().init_some_extra_state(model, input_ids)
+    def _init_flash_attention_state(self, model, input_ids: torch.Tensor):
         if self.is_prefill:
             self.cu_seqlens_q = self.b1_cu_q_seq_len.int()
             self.cu_seqlens_k = self.b1_cu_kv_seq_len.int()
@@ -93,3 +92,8 @@ def init_some_extra_state(self, model, input_ids: torch.Tensor):
                 )
             )
         return
+
+    def init_some_extra_state(self, model, input_ids: torch.Tensor):
+        super().init_some_extra_state(model, input_ids)
+        self._init_flash_attention_state(model, input_ids)
+        return

lightllm/models/qwen2_vl/flashattention_infer_struct.py

@@ -0,0 +1,30 @@
+import os
+import torch
+import numpy as np
+import torch.distributed as dist
+from lightllm.common.basemodel.infer_struct import InferStateInfo
+from lightllm.models.llama.flashattention_infer_struct import FlashAttentionStateInfo
+from lightllm.utils.envs_utils import get_env_start_args
+from lightllm.utils.dist_utils import get_current_device_id
+from lightllm.models.deepseek2.triton_kernel.repack_kv_index import repack_kv_index
+from lightllm.common.basemodel.batch_objs import ModelInput
+
+
+class Qwen2VLFlashAttentionStateInfo(FlashAttentionStateInfo):
+    def init_some_extra_state(self, model, input_ids: torch.Tensor):
+        InferStateInfo.init_some_extra_state(self, model, input_ids)
+        if self.is_prefill:
+            self.max_seq_len = self.max_kv_seq_len
+            self.q_max_seq_len = self.max_q_seq_len
+            position_ids = self.position_ids
+            self.position_sin = model._sin_cached[:, position_ids, :].unsqueeze(1)
+            self.position_cos = model._cos_cached[:, position_ids, :].unsqueeze(1)
+            position_ids = None
+        else:
+            position_ids = self.position_ids
+            self.position_sin = model._sin_cached[:, position_ids, :].unsqueeze(1)
+            self.position_cos = model._cos_cached[:, position_ids, :].unsqueeze(1)
+
+        # init flash attention state
+        self._init_flash_attention_state(model, input_ids)
+        return

lightllm/models/qwen2_vl/model.py

@@ -12,6 +12,7 @@
 from transformers.tokenization_utils_base import PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
 from typing import List, Optional, Union
 from transformers.utils import TensorType, logging
+from lightllm.models.qwen2_vl.flashattention_infer_struct import Qwen2VLFlashAttentionStateInfo
 from lightllm.common.build_utils import repair_config
 from lightllm.models.registry import ModelRegistry
 from lightllm.models.qwen2_vl.infer_struct import Qwen2VLInferStateInfo
@@ -20,6 +21,7 @@
 import torch
 from PIL import Image
 from .vision_process import smart_resize
+from lightllm.utils.envs_utils import enable_env_vars, get_env_start_args
 from lightllm.models.qwen2.layer_weights import transformer_layer_weight, pre_and_post_layer_weight
 from lightllm.models.qwen2.model import Qwen2TpPartModel
 import os
@@ -103,6 +105,10 @@ def __init__(self, kvargs):
         super().__init__(kvargs)
         return
 
+    def _init_inferstate_cls(self):
+        if get_env_start_args().enable_fa3:
+            self.infer_state_class = Qwen2VLFlashAttentionStateInfo
+
     def _init_config(self):
         with open(os.path.join(self.weight_dir_, "config.json"), "r") as json_file:
             self.config = json.load(json_file)