!2559 Fix some mistakes of ApplyCenteredRMSProp, aSinh and Sinh vm ops

Merge pull request !2559 from liuwenhao/rms

mindspore/ops/operations/math_ops.py

@@ -1888,7 +1888,7 @@ class Cosh(PrimitiveWithInfer):
 
 class Asinh(PrimitiveWithInfer):
     """
-    Compute inverse hyperbolic cosine of x element-wise.
+    Compute inverse hyperbolic sine of x element-wise.
 
     Inputs:
         - **input_x** (Tensor) - The shape of tensor is :math:`(x_1, x_2, ..., x_R)`.
@@ -2645,7 +2645,7 @@ class Sin(PrimitiveWithInfer):
 
 class Asin(PrimitiveWithInfer):
     """
-    Computes arccosine of input element-wise.
+    Computes arcsine of input element-wise.
 
     Inputs:
         - **input_x** (Tensor) - The shape of tensor is :math:`(x_1, x_2, ..., x_R)`.

mindspore/ops/operations/nn_ops.py

@@ -1905,7 +1905,7 @@ class ApplyCenteredRMSProp(PrimitiveWithInfer):
         >>> mean_grad = Tensor(np.arange(12).astype(np.float32).reshape(2, 3, 2), mindspore.float32)
         >>> mean_square = Tensor(np.arange(-8, 4).astype(np.float32).reshape(2, 3, 2), mindspore.float32)
         >>> moment = Tensor(np.arange(12).astype(np.float32).reshape(2, 3, 2), mindspore.float32)
-        >>> grad = Tensor(np.arange(12).astype(np.float32).rehspae(2, 3, 2), mindspore.float32)
+        >>> grad = Tensor(np.arange(12).astype(np.float32).reshape(2, 3, 2), mindspore.float32)
         >>> learning_rate = Tensor(0.9, mindspore.float32)
         >>> decay = 0.0
         >>> momentum = 1e-10