[https://nvbugs/5474169][bug] adjust dummy requests max seq length by

kv cache manager

Signed-off-by: Hui Gao <[email protected]>

Author: HuiGao-NV

tensorrt_llm/_torch/pyexecutor/_util.py

@@ -50,8 +50,8 @@ def __init__(self, *, executor_config: ExecutorConfig,
         self._draft_model_engine = draft_model_engine
         self._mapping = mapping
         self._max_kv_tokens_in = self._executor_config.kv_cache_config.max_tokens
-        self._dummy_reqs = self._create_dummy_context_requests(net_max_seq_len -
-                                                               1)
+        self._dummy_reqs = None
+        self._max_seq_len = net_max_seq_len
 
     @staticmethod
     def _get_cache_size_per_token(model_config: ModelConfig,
@@ -168,6 +168,10 @@ def _get_token_num_for_estimation(self) -> int:
         if spec_cfg is not None:
             num_extra_tokens_per_seq += spec_cfg.max_draft_len
             num_extra_tokens_per_seq += get_num_extra_kv_tokens(spec_cfg)
+
+        if self._dummy_reqs is None:
+            self._dummy_reqs = self._create_dummy_context_requests(
+                self._max_seq_len - 1)
         for req in self._dummy_reqs:
             num_req_tokens = len(req.input_token_ids) + num_extra_tokens_per_seq
             # Requests cannot share KV cache blocks. Round up to nearest integer multiple of block size.
@@ -381,6 +385,10 @@ def _create_kv_cache_manager(
         if model_engine.kv_cache_manager_key == ResourceManagerType.KV_CACHE_MANAGER:
             executor_config.max_seq_len = kv_cache_manager.max_seq_len
 
+        # When SWA is enabled, max_seq_len is updated inside kv_cache_manager.
+        if kv_cache_manager != None:
+            self._max_seq_len = kv_cache_manager.max_seq_len
+
         return kv_cache_manager
 
     def build_managers(self, resources: Dict) -> None:

tensorrt_llm/_torch/pyexecutor/resource_manager.py

@@ -485,7 +485,7 @@ def calculate_max_num_blocks(self,
             if kv_cache_config.free_gpu_memory_fraction is not None:
                 max_tokens = min(kv_cache_config.max_tokens, max_tokens)
                 logger.warning(
-                    f'Both free_gpu_memory_fraction and max_tokens are set (to {free_mem_fraction} and {kv_cache_config.max_tokens}, respectively). The smaller value will be used.'
+                    f'Both free_gpu_memory_fraction and max_tokens are set (to {free_mem_fraction} and {max_tokens} with free memory {free_mem / (1 << 32)} of total memory {total_mem / (1<<32)}, respectively). The smaller value will be used.'
                 )
             else:
                 max_tokens = kv_cache_config.max_tokens