[Bugfix] LoRA V0 - Fix case where max_num_seqs is between cudagraph capture sizes

tests/lora/test_llama_tp.py

@@ -84,12 +84,14 @@ def v1(run_with_both_engines_lora):
 @create_new_process_for_each_test()
 def test_llama_lora(sql_lora_files):
 
-    llm = vllm.LLM(MODEL_PATH,
-                   enable_lora=True,
-                   max_num_seqs=16,
-                   max_loras=4,
-                   tensor_parallel_size=1,
-                   enable_chunked_prefill=True)
+    llm = vllm.LLM(
+        MODEL_PATH,
+        enable_lora=True,
+        # also test odd max_num_seqs
+        max_num_seqs=13,
+        max_loras=4,
+        tensor_parallel_size=1,
+        enable_chunked_prefill=True)
     generate_and_test(llm, sql_lora_files)
 
 

vllm/lora/punica_wrapper/punica_gpu.py

@@ -10,6 +10,7 @@
 
 import torch
 
+import vllm.envs as envs
 from vllm.lora.layers import LoRAMapping
 from vllm.triton_utils import HAS_TRITON
 
@@ -42,8 +43,15 @@ def __init__(self, max_num_batched_tokens: int, max_batches: int,
         self.token_mapping_meta = LoRAKernelMeta.make(self.max_loras,
                                                       max_num_batched_tokens,
                                                       device=device)
+
+        # When cudagraph capture size is greater than max_num_seqs (max_batches,
+        # here), V0 captures the graph as if max_num_seqs is set to
+        # the capture size.
+        # V1 doesn't have this problem and always respects max_num_seqs.
+        max_num_prompts = (max_batches
+                           if envs.VLLM_USE_V1 else max_num_batched_tokens)
         self.prompt_mapping_meta = LoRAKernelMeta.make(self.max_loras,
-                                                       max_batches,
+                                                       max_num_prompts,
                                                        device=device)
 
     def update_metadata(