update the documentation of F1 operator.

mindspore/nn/metrics/fbeta.py

@@ -122,7 +122,7 @@ class Fbeta(Metric):
 class F1(Fbeta):
     r"""
     Calculates the F1 score. F1 is a special case of Fbeta when beta is 1.
-    Refer to class :class: `mindspore.nn.Fbeta` for more details.
+    Refer to class :class:`mindspore.nn.Fbeta` for more details.
 
     .. math::
         F_1=\frac{2\cdot true\_positive}{2\cdot true\_positive + false\_negative + false\_positive}

mindspore/ops/operations/nn_ops.py

@@ -5765,10 +5765,13 @@ class ApplyFtrl(PrimitiveWithInfer):
 
     Outputs:
         There are three outputs for Ascend environment.
+
         - **var** (Tensor) - represents the updated `var`.
         - **accum** (Tensor) - represents the updated `accum`.
         - **linear** (Tensor) - represents the updated `linear`.
+
         There is only one output for GPU environment.
+
         - **var** (Tensor) - This value is alwalys zero and the input parameters has been updated in-place.
 
     Supported Platforms: