diff --git a/ffi/examples/packaging/src/extension.cc b/ffi/examples/packaging/src/extension.cc
index eb4be8508dc6..7a2eb1514851 100644
--- a/ffi/examples/packaging/src/extension.cc
+++ b/ffi/examples/packaging/src/extension.cc
@@ -24,6 +24,7 @@
  * The library is written in C++ and can be compiled into a shared library.
  * The shared library can then be loaded into python and used to call the functions.
  */
+#include <tvm/ffi/container/tensor.h>
 #include <tvm/ffi/dtype.h>
 #include <tvm/ffi/error.h>
 #include <tvm/ffi/function.h>
@@ -43,7 +44,7 @@ namespace ffi = tvm::ffi;
  */
 void RaiseError(ffi::String msg) { TVM_FFI_THROW(RuntimeError) << msg; }
 
-void AddOne(DLTensor* x, DLTensor* y) {
+void AddOne(ffi::Tensor x, ffi::Tensor y) {
   // implementation of a library function
   TVM_FFI_ICHECK(x->ndim == 1) << "x must be a 1D tensor";
   DLDataType f32_dtype{kDLFloat, 32, 1};
diff --git a/ffi/examples/quick_start/src/add_one_cpu.cc b/ffi/examples/quick_start/src/add_one_cpu.cc
index 2499510c5394..76b9b3752c88 100644
--- a/ffi/examples/quick_start/src/add_one_cpu.cc
+++ b/ffi/examples/quick_start/src/add_one_cpu.cc
@@ -16,14 +16,14 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-
+#include <tvm/ffi/container/tensor.h>
 #include <tvm/ffi/dtype.h>
 #include <tvm/ffi/error.h>
 #include <tvm/ffi/function.h>
 
 namespace tvm_ffi_example {
 
-void AddOne(DLTensor* x, DLTensor* y) {
+void AddOne(tvm::ffi::Tensor x, tvm::ffi::Tensor y) {
   // implementation of a library function
   TVM_FFI_ICHECK(x->ndim == 1) << "x must be a 1D tensor";
   DLDataType f32_dtype{kDLFloat, 32, 1};
diff --git a/ffi/examples/quick_start/src/add_one_cuda.cu b/ffi/examples/quick_start/src/add_one_cuda.cu
index 282395fe01d6..ead2ec89a95c 100644
--- a/ffi/examples/quick_start/src/add_one_cuda.cu
+++ b/ffi/examples/quick_start/src/add_one_cuda.cu
@@ -16,6 +16,7 @@
  * specific language governing permissions and limitations
  * under the License.
  */
+#include <tvm/ffi/container/tensor.h>
 #include <tvm/ffi/dtype.h>
 #include <tvm/ffi/error.h>
 #include <tvm/ffi/extra/c_env_api.h>
@@ -30,7 +31,7 @@ __global__ void AddOneKernel(float* x, float* y, int n) {
   }
 }
 
-void AddOneCUDA(DLTensor* x, DLTensor* y) {
+void AddOneCUDA(tvm::ffi::Tensor x, tvm::ffi::Tensor y) {
   // implementation of a library function
   TVM_FFI_ICHECK(x->ndim == 1) << "x must be a 1D tensor";
   DLDataType f32_dtype{kDLFloat, 32, 1};
diff --git a/ffi/include/tvm/ffi/container/tensor.h b/ffi/include/tvm/ffi/container/tensor.h
index 93526e5c2a5d..8a8134d86020 100644
--- a/ffi/include/tvm/ffi/container/tensor.h
+++ b/ffi/include/tvm/ffi/container/tensor.h
@@ -151,7 +151,7 @@ class TensorObj : public Object, public DLTensor {
  protected:
   // backs up the shape/strides
   Optional<Shape> shape_data_;
-  Optional<Shape> stride_data_;
+  Optional<Shape> strides_data_;
 
   static void DLManagedTensorDeleter(DLManagedTensor* tensor) {
     TensorObj* obj = static_cast<TensorObj*>(tensor->manager_ctx);
@@ -189,7 +189,7 @@ class TensorObjFromNDAlloc : public TensorObj {
     this->strides = const_cast<int64_t*>(strides.data());
     this->byte_offset = 0;
     this->shape_data_ = std::move(shape);
-    this->stride_data_ = std::move(strides);
+    this->strides_data_ = std::move(strides);
     alloc_.AllocData(static_cast<DLTensor*>(this), std::forward<ExtraArgs>(extra_args)...);
   }
 
@@ -208,7 +208,7 @@ class TensorObjFromDLPack : public TensorObj {
     if (tensor_->dl_tensor.strides == nullptr) {
       Shape strides = Shape(details::MakeStridesFromShape(ndim, shape));
       this->strides = const_cast<int64_t*>(strides.data());
-      this->stride_data_ = std::move(strides);
+      this->strides_data_ = std::move(strides);
     }
   }
 
@@ -244,6 +244,18 @@ class Tensor : public ObjectRef {
     }
     return *(obj->shape_data_);
   }
+  /*!
+   * \brief Get the strides of the Tensor.
+   * \return The strides of the Tensor.
+   */
+  tvm::ffi::Shape strides() const {
+    TensorObj* obj = get_mutable();
+    TVM_FFI_ICHECK(obj->strides != nullptr);
+    if (!obj->strides_data_.has_value()) {
+      obj->strides_data_ = tvm::ffi::Shape(obj->strides, obj->strides + obj->ndim);
+    }
+    return *(obj->strides_data_);
+  }
   /*!
    * \brief Get the data type of the Tensor.
    * \return The data type of the Tensor.
diff --git a/ffi/tests/cpp/test_tensor.cc b/ffi/tests/cpp/test_tensor.cc
index 17a6427af35c..3ad182d844f0 100644
--- a/ffi/tests/cpp/test_tensor.cc
+++ b/ffi/tests/cpp/test_tensor.cc
@@ -35,10 +35,15 @@ inline Tensor Empty(Shape shape, DLDataType dtype, DLDevice device) {
 TEST(Tensor, Basic) {
   Tensor nd = Empty(Shape({1, 2, 3}), DLDataType({kDLFloat, 32, 1}), DLDevice({kDLCPU, 0}));
   Shape shape = nd.shape();
+  Shape strides = nd.strides();
   EXPECT_EQ(shape.size(), 3);
   EXPECT_EQ(shape[0], 1);
   EXPECT_EQ(shape[1], 2);
   EXPECT_EQ(shape[2], 3);
+  EXPECT_EQ(strides.size(), 3);
+  EXPECT_EQ(strides[0], 6);
+  EXPECT_EQ(strides[1], 3);
+  EXPECT_EQ(strides[2], 1);
   EXPECT_EQ(nd.dtype(), DLDataType({kDLFloat, 32, 1}));
   for (int64_t i = 0; i < shape.Product(); ++i) {
     reinterpret_cast<float*>(nd->data)[i] = static_cast<float>(i);
@@ -47,6 +52,7 @@ TEST(Tensor, Basic) {
   Any any0 = nd;
   Tensor nd2 = any0.as<Tensor>().value();
   EXPECT_EQ(nd2.shape(), shape);
+  EXPECT_EQ(nd2.strides(), strides);
   EXPECT_EQ(nd2.dtype(), DLDataType({kDLFloat, 32, 1}));
   for (int64_t i = 0; i < shape.Product(); ++i) {
     EXPECT_EQ(reinterpret_cast<float*>(nd2->data)[i], i);