diff --git a/test/cpp/test_aten_xla_tensor.cpp b/test/cpp/test_aten_xla_tensor.cpp
index ac408caf13fe..0f1bda03a101 100644
--- a/test/cpp/test_aten_xla_tensor.cpp
+++ b/test/cpp/test_aten_xla_tensor.cpp
@@ -910,6 +910,16 @@ TEST_F(AtenXlaTensorTest, TestDim) {
   });
 }
 
+TEST_F(AtenXlaTensorTest, TestContiguous) {
+  at::Tensor input = GetTestTensor({2, 3});
+  at::Tensor output = at::native::contiguous(input);
+  ForEachDevice([&](const Device& device) {
+    at::Tensor xla_input = bridge::CreateXlaTensor(input, device);
+    at::Tensor xla_output = at::native::contiguous(xla_input);
+    AllClose(output, xla_output);
+  });
+}
+
 TEST_F(AtenXlaTensorTest, TestAvgPool2DBackward) {
   int kernel_size = 2;
   for (int stride = 1; stride <= 2; ++stride) {
diff --git a/torch_xla/csrc/tensor_impl.cpp b/torch_xla/csrc/tensor_impl.cpp
index 4f63cd9580e6..2ef6e8d420e1 100644
--- a/torch_xla/csrc/tensor_impl.cpp
+++ b/torch_xla/csrc/tensor_impl.cpp
@@ -74,6 +74,12 @@ c10::intrusive_ptr<c10::TensorImpl> XLATensorImpl::shallow_copy_and_detach()
   return impl;
 }
 
+bool XLATensorImpl::is_contiguous() const {
+  // Only check that the storage is already contiguous.
+  XLA_CHECK(is_contiguous_) << "Non-contiguous storage for XLA tensor";
+  return true;
+}
+
 void XLATensorImpl::SetupSizeProperties() {
   // Fill up the basic dimension data members which the base class
   // implementation uses in its APIs.
diff --git a/torch_xla/csrc/tensor_impl.h b/torch_xla/csrc/tensor_impl.h
index 4e2dc1395277..119f83e20cba 100644
--- a/torch_xla/csrc/tensor_impl.h
+++ b/torch_xla/csrc/tensor_impl.h
@@ -20,6 +20,8 @@ class XLATensorImpl : public c10::TensorImpl {
 
   c10::intrusive_ptr<c10::TensorImpl> shallow_copy_and_detach() const override;
 
+  bool is_contiguous() const override;
+
  private:
   void SetupSizeProperties();