diff --git a/modules/sdnq/common.py b/modules/sdnq/common.py
index d5cfdcfae..021457ffa 100644
--- a/modules/sdnq/common.py
+++ b/modules/sdnq/common.py
@@ -374,11 +374,6 @@ if os.environ.get("SDNQ_USE_TENSORWISE_FP8_MM", None) is None:
 else:
     use_tensorwise_fp8_matmul = os.environ.get("SDNQ_USE_TENSORWISE_FP8_MM", "0").lower() not in {"0", "false", "no"}
 
-if os.environ.get("SDNQ_USE_CONTIGUOUS_MM", None) is None:
-    use_contiguous_mm = bool(use_openvino_mm or is_rdna2_and_older or devices.backend in {"ipex", "mps", "openvino", "zluda"})
-else:
-    use_contiguous_mm = bool(os.environ.get("SDNQ_USE_CONTIGUOUS_MM", "0").lower() not in {"0", "false", "no"})
-
 
 fp_mm_func = None
 int_mm_func = None
@@ -412,6 +407,12 @@ if fp_mm_func is None:
     fp_mm_func = fp_mm_torch
 
 
+if os.environ.get("SDNQ_USE_CONTIGUOUS_MM", None) is None:
+    use_contiguous_mm = bool(use_openvino_mm or is_rdna2_and_older or devices.backend in {"ipex", "mps", "openvino", "zluda"})
+else:
+    use_contiguous_mm = bool(os.environ.get("SDNQ_USE_CONTIGUOUS_MM", "0").lower() not in {"0", "false", "no"})
+
+
 if use_torch_compile:
     torch._dynamo.config.recompile_limit = max(8192, getattr(torch._dynamo.config, "recompile_limit", 0))
     torch._dynamo.config.cache_size_limit = max(8192, getattr(torch._dynamo.config, "cache_size_limit", 0))