!49692 add sinh trunc tensor docs

Merge pull request !49692 from 冯一航/code_docs_add_sinh_trunc_docs

docs/api/api_python/mindspore/Tensor/mindspore.Tensor.sinh.rst

@@ -0,0 +1,6 @@
+mindspore.Tensor.sinh
+======================
+
+.. py:method:: mindspore.Tensor.sinh()
+
+    详情请参考 :func:`mindspore.ops.sinh`。

docs/api/api_python/mindspore/Tensor/mindspore.Tensor.trunc.rst

@@ -0,0 +1,6 @@
+mindspore.Tensor.trunc
+======================
+
+.. py:method:: mindspore.Tensor.trunc()
+
+    详情请参考 :func:`mindspore.ops.trunc`。

docs/api/api_python/mindspore/mindspore.Tensor.rst

@@ -262,6 +262,7 @@ mindspore.Tensor
     mindspore.Tensor.signbit
     mindspore.Tensor.sin
     mindspore.Tensor.sinc
+    mindspore.Tensor.sinh
     mindspore.Tensor.size
     mindspore.Tensor.slogdet
     mindspore.Tensor.split
@@ -294,6 +295,7 @@ mindspore.Tensor
     mindspore.Tensor.tril
     mindspore.Tensor.triu
     mindspore.Tensor.true_divide
+    mindspore.Tensor.trunc
     mindspore.Tensor.unbind
     mindspore.Tensor.unfold
     mindspore.Tensor.unique_consecutive

docs/api/api_python_en/Tensor_list.rst

@@ -268,6 +268,7 @@
     mindspore.Tensor.signbit
     mindspore.Tensor.sin
     mindspore.Tensor.sinc
+    mindspore.Tensor.sinh
     mindspore.Tensor.size
     mindspore.Tensor.slogdet
     mindspore.Tensor.split
@@ -300,6 +301,7 @@
     mindspore.Tensor.tril
     mindspore.Tensor.triu
     mindspore.Tensor.true_divide
+    mindspore.Tensor.trunc
     mindspore.Tensor.unbind
     mindspore.Tensor.unfold
     mindspore.Tensor.unique_consecutive

mindspore/python/mindspore/common/tensor.py

@@ -4183,23 +4183,7 @@ class Tensor(Tensor_, metaclass=_TensorMeta):
 
     def sinh(self):
         r"""
-        Computes hyperbolic sine of the input element-wise.
-
-        .. math::
-
-            out_i = \sinh(x_i)
-
-        Returns:
-            Tensor, has the same shape as input tensor.
-
-        Supported Platforms:
-            ``Ascend`` ``GPU`` ``CPU``
-
-        Examples:
-            >>> x = Tensor(np.array([0.62, 0.28, 0.43, 0.62]), mindspore.float32)
-            >>> output = x.sinh()
-            >>> print(output)
-            [0.6604918 0.28367308 0.44337422 0.6604918]
+        For details, please refer to :func:`mindspore.ops.sinh`.
         """
         self._init_check()
         return tensor_operator_registry.get('sinh')(self)
@@ -4250,19 +4234,7 @@ class Tensor(Tensor_, metaclass=_TensorMeta):
 
     def trunc(self):
         r"""
-        Returns a new tensor with the truncated integer values of the elements of input.
-
-        Returns:
-            Tensor, the same shape and dtype as the input.
-
-        Supported Platforms:
-            ``Ascend`` ``GPU`` ``CPU``
-
-        Examples:
-            >>> x = Tensor(np.array([3.4742, 0.5466, -0.8008, -3.9079]),mindspore.float32)
-            >>> output = x.trunc()
-            >>> print(output)
-            [3. 0. 0. -3.]
+        For details, please refer to :func:`mindspore.ops.trunc`.
         """
         self._init_check()
         return tensor_operator_registry.get('trunc')(self)

mindspore/python/mindspore/ops/function/math_func.py

@@ -1991,10 +1991,10 @@ def cov(x, *, correction=1, fweights=None, aweights=None):
     Examples:
         >>> import mindspore as ms
         >>> import mindspore.ops as ops
-        >>> x = ms.Tensor([[0, 3], [5, 5], [7, 0]]).T
+        >>> x = ms.Tensor([[0., 3.], [5., 5.], [7., 0.]]).T
         >>> print(x)
-        [[0 5 7]
-         [3 5 0]]
+        [[0. 5. 7.]
+         [3. 5. 0.]]
         >>> print(ops.cov(x))
         [[13.        -3.5      ]
          [-3.5        6.3333335]]