fix: avoid setting use_sgmv if no kernels present (#2796)

server/text_generation_server/adapters/lora.py

@@ -24,6 +24,7 @@ from text_generation_server.utils.sgmv import (
     orient_for_rank,
     pad_rank,
     use_cutlass_shrink,
+    has_sgmv,
 )
 
 
@@ -325,7 +326,9 @@ class BatchLoraWeights(BatchAdapterWeights):
             default=0,
         )
 
+        use_sgmv = False
         if prefill or max_rank > BGMV_MAX_RANK:
+            if has_sgmv():
                 use_sgmv = True
             lora_a_ptr = torch.tensor(
                 [
@@ -352,7 +355,6 @@ class BatchLoraWeights(BatchAdapterWeights):
                 device=device,
             )
         else:
-            use_sgmv = False
             lora_a_ptr = torch.tensor(
                 [
                     (