[mlir][vector] Skip uniform vectorization for non scalar type

The code to vectorize the uniform type effectively assume the scalar
type such as integer, float and index type. We should not regard other
types as vectorizable uniform type because the following vectorization
cannot treat the type properlty for now.

See: #128277

Author: Lewuathe

mlir/lib/Dialect/Affine/Transforms/SuperVectorize.cpp

@@ -1106,6 +1106,10 @@ static bool isUniformDefinition(Value value,
     if (!loop.isDefinedOutsideOfLoop(value))
       return false;
   }
+
+  if (!value.getType().isIntOrIndexOrFloat())
+    return false;
+
   return true;
 }
 

mlir/test/Dialect/Affine/SuperVectorize/vectorize_1d.mlir

@@ -684,3 +684,19 @@ func.func @vec_vecdim_reduction_rejected(%in: memref<256x512xf32>, %out: memref<
 
 // CHECK-LABEL: @vec_vecdim_reduction_rejected
 // CHECK-NOT: vector
+
+
+// -----
+
+// Non scalar type is not regarded as the uniform in the vectorization
+func.func @vec_non_scalar_type() {
+  %idx0 = index.constant 0
+  %alloc_82 = memref.alloc() : memref<1xi64>
+  affine.for %arg0 = 0 to 78 {
+    %dim_191 = memref.dim %alloc_82, %idx0 : memref<1xi64>
+  }
+  return
+}
+
+// CHECK-LABEL: @vec_non_scalar_type
+// CHECK-NOT: vector