!47025 fix pad

Merge pull request !47025 from 冯一航/fix_pad

docs/api/api_python/ops/mindspore.ops.func_numel.rst

@@ -10,3 +10,6 @@ mindspore.ops.numel
 
     返回：
         int。Tensor的元素的总数量。
+
+    异常：
+        - **TypeError** - `x` 不是Tensor。

docs/api/api_python/ops/mindspore.ops.func_positive.rst

@@ -12,4 +12,5 @@ mindspore.ops.positive
         输入Tensor。
 
     异常：
+        - **TypeError** - `x` 不是Tensor。
         - **TypeError** - `x` 的dtype是bool。

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

@@ -114,7 +114,6 @@ tensor_le = P.LessEqual()
 tensor_gt = P.Greater()
 tensor_ge = P.GreaterEqual()
 not_equal_ = P.NotEqual()
-size_ = P.Size()
 transpose_ = P.Transpose()
 cast_ = P.Cast()
 
@@ -601,6 +600,7 @@ def positive(x):
         Tensor, self input.
 
     Raises:
+        TypeError: If `x` is not a Tensor.
         TypeError: If the dtype of self Tensor is bool type.
 
     Supported Platforms:
@@ -613,6 +613,8 @@ def positive(x):
         >>> print(ops.positive(x))
         [-5.0, 1.5, 3.0, 100.0]
     """
+    if not isinstance(x, (Tensor, Tensor_)):
+        raise TypeError(f"For positive, the input must be a Tensor, but got {type(x)}")
     if x.dtype == mstype.bool_:
         raise TypeError("For positive, the type of tensor can not be bool.")
     return x
@@ -628,6 +630,9 @@ def numel(x):
     Returns:
         int. A scalar representing the total of elements in the Tensor.
 
+    Raises:
+        TypeError: If `x` is not a Tensor.
+
     Supported Platforms:
         ``Ascend`` ``GPU`` ``CPU``
 
@@ -636,7 +641,9 @@ def numel(x):
         >>> print(ops.numel(input_x))
         4
     """
-    return size_(x)
+    if not isinstance(x, (Tensor, Tensor_)):
+        raise TypeError(f"For numel, the input must be a Tensor, but got {type(x)}")
+    return x.size
 
 
 def permute(x, dims):

mindspore/python/mindspore/ops/function/nn_func.py

@@ -2464,7 +2464,7 @@ def pad(input_x, padding, mode='constant', value=None):
         >>> import numpy as np
         >>> x = ms.Tensor(np.arange(1 * 2 * 2 * 2).reshape((1, 2, 2, 2)), dtype=ms.float64)
         >>> output = ops.pad(x, [1, 0, 0, 1], mode='constant', value=6.0)
-        >>> print(x)
+        >>> print(output)
         [[[[6. 0. 1.]
            [6. 2. 3.]
            [6. 6. 6.]]
@@ -2508,7 +2508,7 @@ def pad(input_x, padding, mode='constant', value=None):
             raise ValueError(f"For 'pad', the padding mode '{mode}' can not set value, but got value {value}.")
         if mode == "replicate":
             mode = "edge"
-        if padding.shape[0] == input_x.ndim + 1:
+        if padding.shape[0] // 2 + 1 == input_x.ndim:
             input_x = input_x.expand_dims(0)
             is_expand = True
     out = PadV3(mode=mode, paddings_contiguous=True)(input_x, padding, value)