diff --git a/mindspore/ops/operations/math_ops.py b/mindspore/ops/operations/math_ops.py
index 940bf65576c..4fef5349cfc 100644
--- a/mindspore/ops/operations/math_ops.py
+++ b/mindspore/ops/operations/math_ops.py
@@ -2934,7 +2934,8 @@ class Tan(PrimitiveWithInfer):
     Computes tangent of `input_x` element-wise.
 
     Inputs:
-        - **input_x** (Tensor) - The shape of tensor is :math:`(x_1, x_2, ..., x_R)`.
+        - **input_x** (Tensor) - The shape of tensor is :math:`(x_1, x_2, ..., x_R)`. Data type should be
+          float16, float32 or int32.
 
     Outputs:
         Tensor, has the same shape as `input_x`.
@@ -2953,7 +2954,8 @@ class Tan(PrimitiveWithInfer):
         return x_shape
 
     def infer_dtype(self, x_type):
-        validator.check_tensor_type_same({'x': x_type}, mstype.number_type, self.name)
+        valid_types = [mstype.float16, mstype.float32, mstype.int32]
+        validator.check_tensor_type_same({'x': x_type}, valid_types, self.name)
         return x_type
 
 
diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py
index f0ca9f4e374..061c97cc7bd 100644
--- a/mindspore/ops/operations/nn_ops.py
+++ b/mindspore/ops/operations/nn_ops.py
@@ -4281,6 +4281,7 @@ class ApplyPowerSign(PrimitiveWithInfer):
 
     Inputs:
         - **var** (Parameter) - Variable tensor to be updated. With float32 or float16 data type.
+          If data type of `var` is float16, all inputs must have the same data type as `var`.
         - **m** (Parameter) - Variable tensor to be updated. Has the same dtype as `var`.
         - **lr** (Union[Number, Tensor]) - The learning rate value, should be a scalar.
           With float32 or float16 data type.
@@ -4323,11 +4324,11 @@ class ApplyPowerSign(PrimitiveWithInfer):
     __mindspore_signature__ = (
         ('var', sig_rw.RW_WRITE, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
         ('m', sig_rw.RW_WRITE, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
-        ('lr', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T1),
-        ('logbase', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T2),
+        ('lr', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
+        ('logbase', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
         ('sign_decay', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE,
-         sig_dtype.T3),
-        ('beta', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T4),
+         sig_dtype.T),
+        ('beta', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T),
         ('grad', sig_rw.RW_READ, sig_kind.KIND_POSITIONAL_KEYWORD, sig_kind.KIND_EMPTY_DEFAULT_VALUE, sig_dtype.T)
     )