[API Compatibility No.52] Sink cosh to cpp -part

paddle/phi/ops/yaml/python_api_info.yaml

@@ -101,6 +101,11 @@
   args_alias:
     use_default_mapping : True
 
+- op : cosh
+  name: [paddle.cosh, paddle.Tensor.cosh]
+  args_alias:
+    use_default_mapping : True
+
 - op : floor
   name: [paddle.floor, paddle.Tensor.floor]
   args_alias:

python/paddle/_paddle_docs.py

@@ -1742,6 +1742,40 @@ def cos(
     """,
 )
 
+add_doc_and_signature(
+    "cosh",
+    """
+    Cosh Activation Operator.
+
+    Input range `(-inf, inf)`, output range `(1, inf)`.
+
+    .. math::
+       out = \\frac{exp(x)+exp(-x)}{2}
+
+    Args:
+        x (Tensor): Input of Cosh operator, an N-D Tensor, with data type float32, float64, float16, bfloat16,
+            uint8, int8, int16, int32, int64, complex64 or complex128.
+        name (str|None, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
+        out (Tensor, optional): The output Tensor. If set, the result will be stored in this Tensor. Default: None.
+
+    Returns:
+        Tensor. Output of Cosh operator, a Tensor with shape same as input
+            (integer types are autocasted into float32).
+
+    Examples:
+        .. code-block:: python
+
+            >>> import paddle
+
+            >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
+            >>> out = paddle.cosh(x)
+            >>> print(out)
+            Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [1.08107233, 1.02006674, 1.00500417, 1.04533851])
+    """,
+    "def cosh(x: Tensor, name: str | None = None, *, out: Tensor | None = None) -> Tensor",
+)
+
 add_doc_and_signature(
     "floor",
     """

python/paddle/tensor/ops.py

@@ -19,6 +19,7 @@
     abs,
     ceil,
     cos,
+    cosh,
     exp,
     expm1,
     floor,
@@ -404,62 +405,6 @@ def atanh(x: Tensor, name: str | None = None) -> Tensor:
         return out
 
 
-def cosh(x: Tensor, name: str | None = None) -> Tensor:
-    """
-    Cosh Activation Operator.
-
-    Input range `(-inf, inf)`, output range `(1, inf)`.
-
-    .. math::
-       out = \\frac{exp(x)+exp(-x)}{2}
-
-    Args:
-        x (Tensor): Input of Cosh operator, an N-D Tensor, with data type float32, float64, float16, bfloat16,
-            uint8, int8, int16, int32, int64, complex64 or complex128.
-        name (str|None, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
-
-    Returns:
-        Tensor. Output of Cosh operator, a Tensor with shape same as input
-            (integer types are autocasted into float32).
-
-    Examples:
-        .. code-block:: python
-
-            >>> import paddle
-
-            >>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
-            >>> out = paddle.cosh(x)
-            >>> print(out)
-            Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
-            [1.08107233, 1.02006674, 1.00500417, 1.04533851])
-    """
-    if in_dynamic_or_pir_mode():
-        return _C_ops.cosh(x)
-    else:
-        check_variable_and_dtype(
-            x,
-            'x',
-            [
-                'float16',
-                'uint16',
-                'float32',
-                'float64',
-                'uint8',
-                'int8',
-                'int16',
-                'int32',
-                'int64',
-                'complex64',
-                'complex128',
-            ],
-            'cosh',
-        )
-        helper = LayerHelper('cosh', **locals())
-        out = helper.create_variable_for_type_inference(dtype=x.dtype)
-        helper.append_op(type='cosh', inputs={"X": x}, outputs={"Out": out})
-        return out
-
-
 def reciprocal(x: Tensor, name: str | None = None) -> Tensor:
     """
 

test/legacy_test/test_activation_op.py

@@ -6231,6 +6231,7 @@ class TestActivationAPI_Compatibility(unittest.TestCase):
         ("paddle.expm1", np.expm1, {'min_val': -1.0, 'max_val': 1.0}),
         ("paddle.round", np.round, {'min_val': -5.0, 'max_val': 5.0}),
         ("paddle.tanh", np.tanh, {'min_val': -1.0, 'max_val': 1.0}),
+        ("paddle.cosh", np.cosh, {'min_val': -1.0, 'max_val': 1.0}),
     ]
     ACTIVATION_NOT_METHOD_CONFIGS = [
         (