diff --git a/test/TensorTest.cpp b/test/TensorTest.cpp
index 49c9294..e740a4f 100644
--- a/test/TensorTest.cpp
+++ b/test/TensorTest.cpp
@@ -333,5 +333,136 @@ TEST_F(TensorTest, SymNumel) {
   EXPECT_EQ(sym_numel, tensor.numel());
 }
 
+// 测试 all() - 检查所有元素是否为真（非零）
+TEST_F(TensorTest, All) {
+  FileManerger file(GetTestCaseResultFileName());
+  file.createFile();
+
+  // 测试全1张量 - all() 应返回 true
+  at::Tensor all_ones = at::ones({2, 2}, at::kInt);
+  bool result1 = all_ones.all().item<bool>();
+  file << std::to_string(result1) << " ";
+
+  // 测试全0张量 - all() 应返回 false
+  at::Tensor all_zeros = at::zeros({2, 2}, at::kInt);
+  bool result2 = all_zeros.all().item<bool>();
+  file << std::to_string(result2) << " ";
+
+  // 测试混合张量（有0有1）- all() 应返回 false
+  std::vector<int> data3 = {1, 0, 1, 1};
+  at::Tensor mixed = at::from_blob(data3.data(), {2, 2}, at::kInt).clone();
+  bool result3 = mixed.all().item<bool>();
+  file << std::to_string(result3) << " ";
+
+  // 测试全为负数张量 - all() 应返回 true（非零）
+  std::vector<int> data4 = {-1, -2, -3, -4};
+  at::Tensor all_neg = at::from_blob(data4.data(), {2, 2}, at::kInt).clone();
+  bool result4 = all_neg.all().item<bool>();
+  file << std::to_string(result4) << " ";
+
+  file.saveFile();
+}
+
+// 测试 all(dim, keepdim) - 沿指定维度检查
+TEST_F(TensorTest, AllDim) {
+  FileManerger file(GetTestCaseResultFileName());
+  file.createFile();
+
+  std::vector<int> data = {1, 0, 1, 1, 1, 1};
+  at::Tensor tensor = at::from_blob(data.data(), {2, 3}, at::kInt).clone();
+
+  // 沿 dim=0 检查 - 每列所有行
+  at::Tensor result_dim0 = tensor.all(0, false);
+  file << std::to_string(result_dim0.sizes()[0]) << " ";
+  file << std::to_string(result_dim0.sizes()[1]) << " ";
+  // 第一列有0，应为false；第二列全为1，应为true；第三列有0，应为false
+  file << std::to_string(result_dim0[0].item<bool>()) << " ";
+  file << std::to_string(result_dim0[1].item<bool>()) << " ";
+  file << std::to_string(result_dim0[2].item<bool>()) << " ";
+
+  // 沿 dim=1 检查 - 每行所有列
+  at::Tensor result_dim1 = tensor.all(1, false);
+  file << std::to_string(result_dim1.sizes()[0]) << " ";
+  // 第一行有0，应为false；第二行全为1，应为true
+  file << std::to_string(result_dim1[0].item<bool>()) << " ";
+  file << std::to_string(result_dim1[1].item<bool>()) << " ";
+
+  // 测试 keepdim=true
+  at::Tensor result_keepdim = tensor.all(1, true);
+  file << std::to_string(result_keepdim.sizes()[0]) << " ";
+  file << std::to_string(result_keepdim.sizes()[1]) << " ";
+
+  file.saveFile();
+}
+
+// 测试 all(at::OptionalIntArrayRef dim, bool keepdim)
+TEST_F(TensorTest, AllOptionalDim) {
+  FileManerger file(GetTestCaseResultFileName());
+  file.createFile();
+
+  std::vector<int> data = {1, 0, 1, 1, 1, 1};
+  at::Tensor tensor = at::from_blob(data.data(), {2, 3}, at::kInt).clone();
+
+  // 不指定维度 - 检查所有元素
+  at::Tensor result_no_dim = tensor.all(c10::nullopt, false);
+  file << std::to_string(result_no_dim.item<bool>()) << " ";
+
+  // 指定单个维度
+  at::Tensor result_single_dim = tensor.all({0}, false);
+  file << std::to_string(result_single_dim[0].item<bool>()) << " ";
+  file << std::to_string(result_single_dim[1].item<bool>()) << " ";
+  file << std::to_string(result_single_dim[2].item<bool>()) << " ";
+
+  // 指定多个维度
+  at::Tensor result_multi_dim = tensor.all({0, 1}, false);
+  file << std::to_string(result_multi_dim.item<bool>()) << " ";
+
+  file.saveFile();
+}
+
+// 测试 allclose - 检查两个张量是否接近
+TEST_F(TensorTest, Allclose) {
+  FileManerger file(GetTestCaseResultFileName());
+  file.createFile();
+
+  // 测试1: 完全相同的张量 - 应返回 true
+  std::vector<float> data1 = {1.0f, 2.0f, 3.0f};
+  at::Tensor t1 = at::from_blob(data1.data(), {3}, at::kFloat).clone();
+  at::Tensor t1_copy = at::from_blob(data1.data(), {3}, at::kFloat).clone();
+  bool result1 = t1.allclose(t1_copy);
+  file << std::to_string(result1) << " ";
+
+  // 测试2: 在默认 rtol/atol 范围内的张量 - 应返回 true
+  std::vector<float> data2 = {1.0f, 2.0f, 3.0f};
+  std::vector<float> data2_slight = {1.0f + 1e-6f, 2.0f - 1e-6f, 3.0f};
+  at::Tensor t2 = at::from_blob(data2.data(), {3}, at::kFloat).clone();
+  at::Tensor t2_slight =
+      at::from_blob(data2_slight.data(), {3}, at::kFloat).clone();
+  bool result2 = t2.allclose(t2_slight);
+  file << std::to_string(result2) << " ";
+
+  // 测试3: 超出默认容差的张量 - 应返回 false
+  std::vector<float> data3 = {1.0f, 2.0f, 3.0f};
+  std::vector<float> data3_diff = {1.5f, 2.0f, 3.0f};  // 差异 0.5 > 默认 atol
+  at::Tensor t3 = at::from_blob(data3.data(), {3}, at::kFloat).clone();
+  at::Tensor t3_diff =
+      at::from_blob(data3_diff.data(), {3}, at::kFloat).clone();
+  bool result3 = t3.allclose(t3_diff);
+  file << std::to_string(result3) << " ";
+
+  // 测试4: 使用较大 rtol 的张量 - 应返回 true
+  bool result4 = t3.allclose(t3_diff, 0.5, 0.1, false);
+  file << std::to_string(result4) << " ";
+
+  // 测试7: 多维张量
+  std::vector<float> data7 = {1.0f, 2.0f, 3.0f, 4.0f};
+  at::Tensor t7 = at::from_blob(data7.data(), {2, 2}, at::kFloat).clone();
+  at::Tensor t7_copy = at::from_blob(data7.data(), {2, 2}, at::kFloat).clone();
+  bool result7 = t7.allclose(t7_copy);
+  file << std::to_string(result7) << " ";
+
+  file.saveFile();
+}
+
 }  // namespace test
 }  // namespace at