add support data type to ArgMax and fix some error about Floor operator

mindspore/ops/operations/array_ops.py

@@ -1654,7 +1654,12 @@ class Argmax(PrimitiveWithInfer):
             Default: `mindspore.dtype.int32`.
 
     Inputs:
-        - **input_x** (Tensor) - Input tensor.
+        - **input_x** (Tensor) - Input tensor. :math:`(N,*)` where :math:`*` means, any number of additional dimensions.
+        Support data type list as follows:
+
+          - Ascend: Float16, Float32.
+          - GPU: Float16, Float32.
+          - CPU: Float16, Float32, Float64.
 
     Outputs:
         Tensor, indices of the max value of input tensor across the axis.

mindspore/ops/operations/math_ops.py

@@ -2634,7 +2634,7 @@ class FloorDiv(_MathBinaryOp):
 
         out_{i} = \\text{floor}( \\frac{x_i}{y_i})
 
-    where the :math:`floor` indicates the operator that converts the input data into the floor data type.
+    where the :math:`floor` indicates the Floor operator, for more details, please refer to the Floor operator.
 
     Inputs:
         - **x** (Union[Tensor, Number, bool]) - The first input is a number or
@@ -2841,7 +2841,7 @@ class FloorMod(_MathBinaryOp):
 
         out_{i} =\text{floor}(x_{i} // y_{i})
 
-    where the :math:`floor` indicates the operator that converts the input data into the floor data type.
+    where the :math:`floor` indicates the Floor operator, for more details, please refer to the Floor operator.
 
     Inputs:
         - **x** (Union[Tensor, Number, bool]) - The first input is a number or