diff --git a/docs/api/api_python/mindspore/Tensor/mindspore.Tensor.sinh.rst b/docs/api/api_python/mindspore/Tensor/mindspore.Tensor.sinh.rst new file mode 100644 index 00000000000..705d055dcaa --- /dev/null +++ b/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`。 diff --git a/docs/api/api_python/mindspore/Tensor/mindspore.Tensor.trunc.rst b/docs/api/api_python/mindspore/Tensor/mindspore.Tensor.trunc.rst new file mode 100644 index 00000000000..6ea1bbc4e23 --- /dev/null +++ b/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`。 \ No newline at end of file diff --git a/docs/api/api_python/mindspore/mindspore.Tensor.rst b/docs/api/api_python/mindspore/mindspore.Tensor.rst index cae9bd93791..a8d634b24b8 100644 --- a/docs/api/api_python/mindspore/mindspore.Tensor.rst +++ b/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 diff --git a/docs/api/api_python_en/Tensor_list.rst b/docs/api/api_python_en/Tensor_list.rst index ebf4d8b1407..4182d0365ee 100644 --- a/docs/api/api_python_en/Tensor_list.rst +++ b/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 diff --git a/mindspore/python/mindspore/common/tensor.py b/mindspore/python/mindspore/common/tensor.py index 08415cd5bfd..cefeff8cccc 100644 --- a/mindspore/python/mindspore/common/tensor.py +++ b/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) diff --git a/mindspore/python/mindspore/ops/function/math_func.py b/mindspore/python/mindspore/ops/function/math_func.py index e405b1b2195..f0f68d63219 100644 --- a/mindspore/python/mindspore/ops/function/math_func.py +++ b/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]]