increment

Fixes ivy-llc#26215

ivy/functional/frontends/paddle/math.py

@@ -298,6 +298,18 @@ def heaviside(x, y, name=None):
     return ivy.heaviside(x, y)
 
 
+@with_supported_dtypes(
+    {"2.5.1 and below": ("int32", "int64", "float32", "float64")}, "paddle"
+)
+@to_ivy_arrays_and_back
+def increment(x, value=1.0, name=None):
+    if (
+        ivy.prod(ivy.shape(x)) != 1
+    ):  # TODO this function will be simplified as soon as ivy.increment is add
+        raise ValueError("The input tensor x must contain only one element.")
+    return ivy.add(x, value)
+
+
 @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
 @to_ivy_arrays_and_back
 def inner(x, y, name=None):

ivy_tests/test_ivy/test_frontends/test_paddle/test_math.py

@@ -1224,6 +1224,36 @@ def test_paddle_heaviside(
     )
 
 
+# increment
+@handle_frontend_test(
+    fn_tree="paddle.increment",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=1,
+        shape=(1,),
+    ),
+)
+def test_paddle_increment(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        fn_tree=fn_tree,
+        test_flags=test_flags,
+        on_device=on_device,
+        x=x[0],
+    )
+
+
 # inner
 @handle_frontend_test(
     fn_tree="paddle.inner",