!47985 fix docs

Merge pull request !47985 from 李林杰/code_docs_0117_fix_docs

docs/api/api_python/nn/mindspore.nn.SmoothL1Loss.rst

@@ -40,7 +40,7 @@ mindspore.nn.SmoothL1Loss
         - **labels** (Tensor) - 目标值，数据类型和shape与 `logits` 相同的Tensor。
 
     输出：
-        Tensor。如果 `reduction` 为'none'，则输出为Tensor且与 `logits` 的shape相同。否则shape为 `(1,)`。
+        Tensor。如果 `reduction` 为'none'，则输出为Tensor且与 `logits` 的shape相同。否则shape为 `()`。
 
     异常：
         - **TypeError** - `beta` 不是float。

mindspore/python/mindspore/nn/layer/pooling.py

@@ -371,12 +371,9 @@ class MaxPool2d(_PoolNd):
         pad_mode (str): The optional value for pad mode, is "same" or "valid", not case sensitive.
             Default: "valid".
 
-            - same: Adopts the way of completion. The height and width of the output will be the same as
+            - same: The output shape is the same as the input shape evenly divided by `stride`.
-              the input. The total number of padding will be calculated in horizontal and vertical
-              directions and evenly distributed to top and bottom, left and right if possible.
-              Otherwise, the last extra padding will be done from the bottom and the right side.
 
-            - valid: Adopts the way of discarding. The possible largest height and width of output
+            - valid: The possible largest height and width of output
               will be returned without padding. Extra pixels will be discarded.
         data_format (str): The optional value for data format, is 'NHWC' or 'NCHW'.
             Default: 'NCHW'.

mindspore/python/mindspore/nn/loss/loss.py

@@ -578,7 +578,7 @@ class SmoothL1Loss(LossBase):
 
     Outputs:
         Tensor, if `reduction` is 'none', then output is a tensor with the same shape as `logits`.
-        Otherwise the shape of output tensor is `(1,)`.
+        Otherwise the shape of output tensor is `()`.
 
     Raises:
         TypeError: If `beta` is not a float.

mindspore/python/mindspore/nn/probability/distribution/laplace.py

@@ -50,7 +50,7 @@ class Laplace(Distribution):
         TypeError: When the input `dtype` is not a subclass of float.
 
     Supported Platforms:
-        ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> import mindspore

mindspore/python/mindspore/ops/function/array_func.py

@@ -3366,7 +3366,7 @@ def nonzero(x):
         ValueError: If 'x' dim equal to 0.
 
     Supported Platforms:
-        ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> import mindspore

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

@@ -1598,7 +1598,7 @@ def xlogy(x, y):
         ValueError: If `x` could not be broadcast to a tensor with shape of `y`.
 
     Supported Platforms:
-        ``Ascend`` ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.array([-5, 0, 4]), mindspore.float32)
@@ -2709,7 +2709,7 @@ def trunc(input):
         TypeError: If `input` is not a Tensor.
 
     Supported Platforms:
-        ``GPU`` ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.array([3.4742, 0.5466, -0.8008, -3.9079]),mindspore.float32)
@@ -4155,7 +4155,7 @@ def lcm(x1, x2):
         ValueError: If shape of two inputs are not broadcastable.
 
     Supported Platforms:
-        ``Ascend`` ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x1 = Tensor(np.array([7, 8, 9]))
@@ -4230,7 +4230,7 @@ def gcd(x1, x2):
         ValueError: If shape of two inputs are not broadcastable.
 
     Supported Platforms:
-        ``Ascend`` ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x1 = Tensor(np.array([7, 8, 9]))

mindspore/python/mindspore/ops/function/spectral_func.py

@@ -120,7 +120,7 @@ def bartlett_window(window_length, periodic=True, *, dtype=None):
         ValueError: If the dimension of `window_length` is not 0.
 
     Supported Platforms:
-        ``GPU``
+        ``GPU`` ``CPU``
 
     Examples:
         >>> window_length = Tensor(5, mstype.int32)

mindspore/python/mindspore/ops/operations/linalg_ops.py

@@ -72,7 +72,7 @@ class Svd(Primitive):
     Refer to :func:`mindspore.ops.svd` for more details.
 
     Supported Platforms:
-        ``GPU``
+        ``GPU`` ``CPU``
 
     Examples:
         >>> import numpy as np

mindspore/python/mindspore/ops/operations/math_ops.py

@@ -3843,7 +3843,7 @@ class ApproximateEqual(_LogicBinaryOp):
                       but data type conversion of Parameter is not supported.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.array([1, 2, 3]), mindspore.float32)
@@ -5956,7 +5956,7 @@ class Trunc(Primitive):
     Refer to :func:`mindspore.ops.trunc` for more details.
 
     Supported Platforms:
-        ``GPU`` ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.array([3.4742, 0.5466, -0.8008, -3.9079]), mindspore.float32)
@@ -6670,7 +6670,7 @@ class Trace(Primitive):
         ValueError: If the dimension of `x` is not equal to 2.
 
     Supported Platforms:
-        ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), mindspore.float32)
@@ -7127,7 +7127,7 @@ class FFTWithSize(Primitive):
         ValueError: If norm is none of "backward", "forward" or "ortho".
 
     Supported Platforms:
-        ``CPU``
+        ``GPU`` ``CPU``
 
     Examples:
           >>> # case FFT: signal_ndim: 1, inverse: False, real: False.

mindspore/python/mindspore/ops/operations/nn_ops.py

@@ -7630,7 +7630,7 @@ class AvgPool3D(Primitive):
         ValueError: If `data_format` is not 'NCDHW'.
 
     Supported Platforms:
-        ``Ascend`` ``CPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.arange(1 * 2 * 2 * 2 * 3).reshape((1, 2, 2, 2, 3)), mindspore.float16)

mindspore/python/mindspore/ops/operations/spectral_ops.py

@@ -26,7 +26,7 @@ class BartlettWindow(Primitive):
     Refer to :func:`mindspore.ops.bartlett_window` for more details.
 
     Supported Platforms:
-        ``GPU``
+        ``GPU`` ``CPU``
 
     Examples:
         >>> window_length = Tensor(5, mstype.int32)