diff --git a/torch_xla/csrc/tensor_impl.cpp b/torch_xla/csrc/tensor_impl.cpp
index 62804b6f2f2..91822a3ba4a 100644
--- a/torch_xla/csrc/tensor_impl.cpp
+++ b/torch_xla/csrc/tensor_impl.cpp
@@ -161,6 +161,11 @@ at::IntArrayRef XLATensorImpl::strides_custom() const {
   return strides_default();
 }
 
+c10::SymIntArrayRef XLATensorImpl::sym_strides_custom() const {
+  const_cast<XLATensorImpl*>(this)->SetupSizeProperties();
+  return c10::SymIntArrayRef(sym_strides_.data(), sym_strides_.size());
+}
+
 int64_t XLATensorImpl::dim_custom() const {
   const_cast<XLATensorImpl*>(this)->SetupSizeProperties();
   return dim_default();
@@ -205,6 +210,8 @@ void XLATensorImpl::SetupSymSizeProperties() {
   auto rank = shape.get().rank();
   std::vector<c10::SymInt> sym_sizes;
   sym_sizes.reserve(rank);
+  std::vector<c10::SymInt> sym_strides(rank);
+  size_t index = rank;
 
   XLAIrBuilder a = XLAIrBuilder();
   for (auto i : c10::irange(rank)) {
@@ -219,6 +226,16 @@ void XLATensorImpl::SetupSymSizeProperties() {
     }
   }
   sym_sizes_ = sym_sizes;
+
+  c10::SymInt prod{1};
+
+  while (index > 0) {
+    --index;
+    sym_strides[index] = prod;
+    prod *= sym_sizes[index];
+  }
+
+  sym_strides_ = sym_strides;
 }
 
 caffe2::TypeMeta XLATensorImpl::GetTypeMeta(const XLATensor& tensor) {
diff --git a/torch_xla/csrc/tensor_impl.h b/torch_xla/csrc/tensor_impl.h
index 9c9bda1df54..d9d2f5379d1 100644
--- a/torch_xla/csrc/tensor_impl.h
+++ b/torch_xla/csrc/tensor_impl.h
@@ -46,6 +46,7 @@ class XLATensorImpl : public c10::TensorImpl {
   c10::SymIntArrayRef sym_sizes_custom() const override;
   c10::SymInt sym_numel_custom() const override;
   at::IntArrayRef strides_custom() const override;
+  c10::SymIntArrayRef sym_strides_custom() const override;
 
   int64_t dim_custom() const override;
 
@@ -67,6 +68,7 @@ class XLATensorImpl : public c10::TensorImpl {
 
   XLATensorPtr tensor_;
   std::vector<c10::SymInt> sym_sizes_;
+  std::vector<c10::SymInt> sym_strides_;
   size_t generation_ = 0;
 };