Merge pull request #1168 from kvcache-ai/Atream-patch-1

remove hard code max_length

ktransformers/server/balance_serve/inference/query_manager.py

@@ -70,13 +70,11 @@ class QueryInfo:
 
 class QueryManager:
 
-    max_length: int = 65536
     page_size: int = 256
     device: torch.device
     query_map : dict[int, QueryInfo]
 
-    def __init__(self, max_length = 65536, page_size = 256, device = torch.device('cuda')):
-        self.max_length = max_length
+    def __init__(self, page_size = 256, device = torch.device('cuda')):
         self.page_size = page_size
         self.device = device
         self.query_map = {}
@@ -87,7 +85,6 @@ class QueryManager:
             id = batch.query_ids[i]
             if id not in self.query_map:
                 print(f"add query id: {id}, batch.query_lengths: {batch.query_lengths[i]}, batch_query_tokens: {batch.query_tokens[i].shape}, batch.block_indexes: {batch.block_indexes[i]}")
-                assert batch.query_tokens[i].size(0) < self.max_length, "query max length in batchquerytodo exceeds internal max_length"
                 query_info = QueryInfo(id=id, query_length=batch.query_lengths[i], max_length=batch.query_tokens[i].size(0) + 1, page_size=self.page_size, device=self.device, temperature=batch.sample_options[i].temperature, top_p=batch.sample_options[i].top_p)
                 query_info.query_tokens[:query_info.query_length].copy_(batch.query_tokens[i][:query_info.query_length].to(self.device))
                 
@@ -155,4 +152,4 @@ class QueryManager:
                 query_update.active_position = query_info.active_position
                 query_updates.append(query_update)
 
-        return query_updates
+        return query_updates
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