diff --git a/torch_xla/csrc/aten_xla_type.cpp b/torch_xla/csrc/aten_xla_type.cpp
index 2352257e9a0..8e80b8d0316 100644
--- a/torch_xla/csrc/aten_xla_type.cpp
+++ b/torch_xla/csrc/aten_xla_type.cpp
@@ -708,9 +708,14 @@ at::Tensor XLANativeFunctions::as_strided_copy(
         &xla_cpu_fallback, ATEN_OP(as_strided)>::call(self, size, stride,
                                                       storage_offset);
   }
-  return bridge::AtenFromXlaTensor(tensor_methods::as_strided(
-      self_tensor, std::move(xsize), std::move(xstride),
-      XlaHelpers::I64Optional(storage_offset)));
+  // Sets the base tensor as tensor.
+  // Even though this function copies (without aliasing) tensor, it's still treated
+  // as a view function in the functionalization layer.
+  return bridge::AtenFromXlaTensor(
+      bridge::SetBaseTensor(
+          tensor_methods::as_strided(
+              self_tensor, std::move(xsize), std::move(xstride), XlaHelpers::I64Optional(storage_offset)),
+          tensor));
 }
 
 at::Tensor XLANativeFunctions::as_strided_scatter(
@@ -2796,9 +2801,6 @@ at::Tensor XLANativeFunctions::slice_copy(const at::Tensor& self, int64_t dim,
   TORCH_LAZY_FN_COUNTER_TIMED_TRACING("xla::");
   int64_t start_val = start.has_value() ? start.value() : 0;
   int64_t end_val = end.has_value() ? end.value() : INT64_MAX;
-  // Sets the base tensor as self.
-  // Even though this function copies (without aliasing) self, it's still treated
-  // as a view function in the functionalization layer.
   return bridge::AtenFromXlaTensor(
       bridge::SetBaseTensor(
           tensor_methods::slice(