diff --git a/mlir/lib/Dialect/MemRef/Transforms/NormalizeMemRefs.cpp b/mlir/lib/Dialect/MemRef/Transforms/NormalizeMemRefs.cpp
--- a/mlir/lib/Dialect/MemRef/Transforms/NormalizeMemRefs.cpp
+++ b/mlir/lib/Dialect/MemRef/Transforms/NormalizeMemRefs.cpp
@@ -513,9 +513,12 @@
       resultTypes.push_back(resultType);
       continue;
     }
+
+    AffineMap layoutMap = memrefType.getLayout().getAffineMap();
     // Fetch a new memref type after normalizing the old memref.
-    MemRefType newMemRefType = normalizeMemRefType(memrefType,
-                                                   /*numSymbolicOperands=*/0);
+    MemRefType newMemRefType =
+        normalizeMemRefType(memrefType,
+                            /*numSymbolicOperands=*/layoutMap.getNumSymbols());
     if (newMemRefType == memrefType) {
       // Either memrefType already had an identity map or the map couldn't
       // be transformed to an identity map.
diff --git a/mlir/test/Transforms/normalize-memrefs.mlir b/mlir/test/Transforms/normalize-memrefs.mlir
--- a/mlir/test/Transforms/normalize-memrefs.mlir
+++ b/mlir/test/Transforms/normalize-memrefs.mlir
@@ -352,3 +352,14 @@
   %0 = memref.alloc() : memref<2x3xf32, #neg>
   return %0 : memref<2x3xf32, #neg>
 }
+
+// CHECK-LABEL: func @memref_with_strided_offset
+func.func @memref_with_strided_offset(%arg0: tensor<128x512xf32>, %arg1: index, %arg2: index) -> tensor<16x512xf32> {
+  %c0 = arith.constant 0 : index
+  %0 = bufferization.to_memref %arg0 : memref<128x512xf32, strided<[?, ?], offset: ?>>
+  %subview = memref.subview %0[%arg2, 0] [%arg1, 512] [1, 1] : memref<128x512xf32, strided<[?, ?], offset: ?>> to memref<?x512xf32, strided<[?, ?], offset: ?>>
+  // CHECK: %{{.*}} = memref.cast %{{.*}} : memref<?x512xf32, strided<[?, ?], offset: ?>> to memref<16x512xf32, strided<[?, ?], offset: ?>>
+  %cast = memref.cast %subview : memref<?x512xf32, strided<[?, ?], offset: ?>> to memref<16x512xf32, strided<[?, ?], offset: ?>>
+  %1 = bufferization.to_tensor %cast : memref<16x512xf32, strided<[?, ?], offset: ?>>
+  return %1 : tensor<16x512xf32>
+}