diff --git a/test/TensorTest.cpp b/test/TensorTest.cpp
index acfcdaf..745bad8 100644
--- a/test/TensorTest.cpp
+++ b/test/TensorTest.cpp
@@ -2,10 +2,23 @@
 #include <ATen/core/Tensor.h>
 #include <ATen/ops/ones.h>
 #include <gtest/gtest.h>
+#if !USE_PADDLE_API
 #include <torch/all.h>
+#endif
 
 #include <string>
 #include <vector>
+#if USE_PADDLE_API
+#include "paddle/phi/api/include/tensor.h"
+#include "paddle/phi/common/place.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/memory/malloc.h"
+namespace phi {
+inline std::ostream& operator<<(std::ostream& os, AllocationType type) {
+  return os << static_cast<int>(type);
+}
+}  // namespace phi
+#endif
 
 #include "../src/file_manager.h"
 
@@ -213,5 +226,66 @@ TEST_F(TensorTest, Transpose) {
   file.saveFile();
 }
 
+// 测试 var(bool unbiased)
+TEST_F(TensorTest, VarUnbiased) {
+  auto file_name = g_custom_param.get();
+  FileManerger file(file_name);
+  file.createFile();
+  std::vector<int64_t> shape = {2, 3};
+  at::Tensor test_tensor = at::ones(shape, at::kFloat);
+  test_tensor.data_ptr<float>()[0] = 1.0f;
+  test_tensor.data_ptr<float>()[1] = 2.0f;
+  test_tensor.data_ptr<float>()[2] = 3.0f;
+  test_tensor.data_ptr<float>()[3] = 4.0f;
+  test_tensor.data_ptr<float>()[4] = 5.0f;
+  test_tensor.data_ptr<float>()[5] = 6.0f;
+  at::Tensor var_result = test_tensor.var(true);
+  file << std::to_string(var_result.dim()) << " ";
+  file << std::to_string(var_result.data_ptr<float>()[0]) << " ";
+  at::Tensor var_result_biased = test_tensor.var(false);
+  file << std::to_string(var_result_biased.dim()) << " ";
+  file << std::to_string(var_result_biased.data_ptr<float>()[0]) << " ";
+  file.saveFile();
+}
+
+// 测试 var(OptionalIntArrayRef dim, bool unbiased, bool keepdim)
+TEST_F(TensorTest, VarDim) {
+  auto file_name = g_custom_param.get();
+  FileManerger file(file_name);
+  file.createFile();
+  std::vector<int64_t> shape = {2, 3};
+  at::Tensor test_tensor = at::ones(shape, at::kFloat);
+  for (int i = 0; i < 6; ++i) {
+    test_tensor.data_ptr<float>()[i] = static_cast<float>(i + 1);
+  }
+  at::Tensor var_result = test_tensor.var({0}, true, false);
+  file << std::to_string(var_result.dim()) << " ";
+  file << std::to_string(var_result.size(0)) << " ";
+  at::Tensor var_result_keepdim = test_tensor.var({1}, true, true);
+  file << std::to_string(var_result_keepdim.dim()) << " ";
+  file << std::to_string(var_result_keepdim.size(0)) << " ";
+  file << std::to_string(var_result_keepdim.size(1)) << " ";
+  file.saveFile();
+}
+
+// 测试 var(OptionalIntArrayRef dim, optional<Scalar> correction, bool keepdim)
+TEST_F(TensorTest, VarCorrection) {
+  auto file_name = g_custom_param.get();
+  FileManerger file(file_name);
+  file.createFile();
+  std::vector<int64_t> shape = {2, 3};
+  at::Tensor test_tensor = at::ones(shape, at::kFloat);
+  for (int i = 0; i < 6; ++i) {
+    test_tensor.data_ptr<float>()[i] = static_cast<float>(i + 1);
+  }
+  at::Tensor var_result = test_tensor.var({0}, at::Scalar(1.0), false);
+  file << std::to_string(var_result.dim()) << " ";
+  file << std::to_string(var_result.size(0)) << " ";
+  at::Tensor var_result_pop = test_tensor.var({0}, at::Scalar(0.0), false);
+  file << std::to_string(var_result_pop.dim()) << " ";
+  file << std::to_string(var_result_pop.size(0)) << " ";
+  file.saveFile();
+}
+
 }  // namespace test
 }  // namespace at