diff --git a/mindspore/nn/layer/activation.py b/mindspore/nn/layer/activation.py
index 384f625133..8135e61a3b 100644
--- a/mindspore/nn/layer/activation.py
+++ b/mindspore/nn/layer/activation.py
@@ -454,7 +454,7 @@ class HSigmoid(Cell):
     Hard sigmoid is defined as:
 
     .. math::
-        \text{hsigmoid}(x_{i}) = max(0, min(1, \frac{2 * x_{i} + 5}{10})),
+        \text{hsigmoid}(x_{i}) = max(0, min(1, \frac{x_{i} + 3}{6})),
 
     where :math:`x_{i}` is the :math:`i`-th slice along the given dim of the input Tensor.
 
diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py
index dd868eaf1c..36daa6abfb 100644
--- a/mindspore/ops/operations/nn_ops.py
+++ b/mindspore/ops/operations/nn_ops.py
@@ -498,7 +498,7 @@ class HSigmoid(PrimitiveWithInfer):
     Hard sigmoid is defined as:
 
     .. math::
-        \text{hsigmoid}(x_{i}) = max(0, min(1, \frac{2 * x_{i} + 5}{10})),
+        \text{hsigmoid}(x_{i}) = max(0, min(1, \frac{x_{i} + 3}{6})),
 
     where :math:`x_{i}` is the :math:`i`-th slice along the given dim of the input Tensor.