diff --git a/test/TensorTest.cpp b/test/TensorTest.cpp
index 5868349..aa0d450 100644
--- a/test/TensorTest.cpp
+++ b/test/TensorTest.cpp
@@ -151,6 +151,32 @@ TEST_F(TensorTest, IsCuda) {
   EXPECT_FALSE(tensor.is_cuda());
 }
 
+// 测试 is_sparse
+TEST_F(TensorTest, IsSparse) {
+  // 密集张量应该返回 false
+  EXPECT_FALSE(tensor.is_sparse());
+
+  // 创建稀疏 COO 张量 - 先创建模板，再使用 zeros_like
+  at::TensorOptions sparse_options =
+      at::TensorOptions().dtype(at::kFloat).layout(at::kSparse);
+  at::Tensor sparse_template = at::empty({2, 3}, sparse_options);
+  at::Tensor sparse_tensor = at::zeros_like(sparse_template);
+  EXPECT_TRUE(sparse_tensor.is_sparse());
+}
+
+// 测试 is_sparse_csr
+TEST_F(TensorTest, IsSparseCsr) {
+  // 密集张量应该返回 false
+  EXPECT_FALSE(tensor.is_sparse_csr());
+
+  // 创建稀疏 CSR 张量 - 先创建模板，再使用 zeros_like
+  at::TensorOptions sparse_csr_options =
+      at::TensorOptions().dtype(at::kFloat).layout(at::kSparseCsr);
+  at::Tensor sparse_csr_template = at::empty({2, 3}, sparse_csr_options);
+  at::Tensor sparse_csr_tensor = at::zeros_like(sparse_csr_template);
+  EXPECT_TRUE(sparse_csr_tensor.is_sparse_csr());
+}
+
 // 测试 reshape
 TEST_F(TensorTest, Reshape) {
   // Tensor tensor(paddle_tensor_);