[Enhancement] 优化 Coverage 覆盖率

python/axono/core/tensor.py

@@ -49,11 +49,6 @@ def __init__(
     def is_cuda(self):
         return self._tensor.is_cuda
 
-    @classmethod
-    def create(cls, dtype: DataType, shape: list[int]) -> "Tensor":
-        """Create a new tensor"""
-        return cls(dtype, shape)
-
     @classmethod
     def create_like(cls, other: "Tensor") -> "Tensor":
         """Create a tensor with same shape and dtype as another"""

python/tests/core/test_tensors.py

@@ -29,6 +29,25 @@ def test_tensor_creation(self):
         for shape in shapes:
             tensor = Tensor(shape=shape)
             self.assertEqual(tensor.shape, shape)
+
+    def test_tensor_is_same_shape(self):
+        """测试 Tensor 是否相同形状"""
+        tensor1 = Tensor(dtype=DataType.FLOAT32, shape=[2, 3])
+        tensor2 = Tensor(dtype=DataType.FLOAT32, shape=[2, 3])
+        tensor3 = Tensor(dtype=DataType.FLOAT32, shape=[3, 2])
+        self.assertTrue(tensor1.is_same_shape(tensor2))
+        self.assertFalse(tensor1.is_same_shape(tensor3))
+
+    def test_tensor_properties(self):
+        """测试 Tensor Properties"""
+        tensor = Tensor(dtype=DataType.FLOAT32, shape=[2, 3])
+        self.assertEqual(tensor.is_cuda(), tensor.device == "cuda")
+        self.assertEqual(type(tensor.num_elements), str)
+        self.assertEqual(type(tensor.num_bytes), str)
+        self.assertEqual(type(ndim), int)
+        self.assertEqual(type(shape), list[int])
+        self.assertEqual(type(device), str)
+        self.assertEqual(type(dtype), DataType)
 
     def test_tensor_data_types(self):
         """测试不同数据类型"""