!8950 Add labels to python files

From: @JunYuLiu
Reviewed-by: @gemini524,@liangchenghui,@zhunaipan
Signed-off-by: @liangchenghui

mindspore/common/api.py

@@ -233,25 +233,25 @@ def ms_function(fn=None, obj=None, input_signature=None):
 
     Examples:
         >>> from mindspore.ops import  functional as F
-        >>>
+        ...
         >>> def tensor_add(x, y):
-        >>>     z = F.tensor_add(x, y)
+        ...     z = F.tensor_add(x, y)
-        >>>     return z
+        ...     return z
-        >>>
+        ...
         >>> @ms_function
-        >>> def tensor_add_with_dec(x, y):
+        ... def tensor_add_with_dec(x, y):
-        >>>     z = F.tensor_add(x, y)
+        ...     z = F.tensor_add(x, y)
-        >>>     return z
+        ...     return z
-        >>>
+        ...
         >>> @ms_function(input_signature=(MetaTensor(mindspore.float32, (1, 1, 3, 3)),
-        >>>                               MetaTensor(mindspore.float32, (1, 1, 3, 3))))
+        ...                               MetaTensor(mindspore.float32, (1, 1, 3, 3))))
-        >>> def tensor_add_with_sig(x, y):
+        ... def tensor_add_with_sig(x, y):
-        >>>     z = F.tensor_add(x, y)
+        ...     z = F.tensor_add(x, y)
-        >>>     return z
+        ...     return z
-        >>>
+        ...
         >>> x = Tensor(np.ones([1, 1, 3, 3]).astype(np.float32))
         >>> y = Tensor(np.ones([1, 1, 3, 3]).astype(np.float32))
-        >>>
+        ...
         >>> tensor_add_graph = ms_function(fn=tensor_add)
         >>> out = tensor_add_graph(x, y)
         >>> out = tensor_add_with_dec(x, y)

mindspore/common/tensor.py

@@ -51,7 +51,7 @@ class Tensor(Tensor_):
         >>> assert isinstance(t1, Tensor)
         >>> assert t1.shape == (1, 2, 3)
         >>> assert t1.dtype == mindspore.float32
-        >>>
+        ...
         >>> # initialize a tensor with a float scalar
         >>> t2 = Tensor(0.1)
         >>> assert isinstance(t2, Tensor)

mindspore/ops/operations/array_ops.py

@@ -4541,6 +4541,9 @@ class GatherD(PrimitiveWithInfer):
     Outputs:
         Tensor, the shape of tensor is :math:`(z_1, z_2, ..., z_N)`.
 
+    Supported Platforms:
+        ``Ascend`` ``GPU``
+
     Examples:
         >>> x = Tensor(np.array([[1, 2], [3, 4]]), mindspore.int32)
         >>> index = Tensor(np.array([[0, 0], [1, 0]]), mindspore.int32)

mindspore/ops/operations/nn_ops.py

@@ -3599,6 +3599,9 @@ class AdamNoUpdateParam(PrimitiveWithInfer):
         Tensor, whose shape and data type are the same with `gradient`, is a value that should be added to the
         parameter to be updated.
 
+    Supported Platforms:
+        ``CPU``
+
     Examples:
         >>> import numpy as np
         >>> import mindspore as ms
@@ -4064,6 +4067,9 @@ class FusedSparseProximalAdagrad(PrimitiveWithInfer):
         - **var** (Tensor) - A Tensor with shape (1,).
         - **accum** (Tensor) - A Tensor with shape (1,).
 
+    Supported Platforms:
+        ``CPU``
+
     Examples:
         >>> import numpy as np
         >>> import mindspore.nn as nn
@@ -4958,6 +4964,9 @@ class ApplyProximalAdagrad(PrimitiveWithInfer):
         - **var** (Tensor) - The same shape and data type as `var`.
         - **accum** (Tensor) - The same shape and data type as `accum`.
 
+    Supported Platforms:
+        ``Ascend``
+
     Examples:
         >>> import numpy as np
         >>> import mindspore.nn as nn