feat: add increment method to paddle frontend

ivy/functional/frontends/paddle/math.py

@@ -320,6 +320,19 @@ 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({"2.5.2 and below": ("float32", "float64")}, "paddle")
 @with_supported_dtypes({"2.6.0 and below": ("float32", "float64")}, "paddle")
 @to_ivy_arrays_and_back
 def inner(x, y, name=None):

ivy/functional/frontends/paddle/tensor/tensor.py

@@ -1198,6 +1198,15 @@ def gather_(self, y, name=None):
         return ivy.inplace_update(self, res)
 
     @with_supported_dtypes(
+
+        {"2.5.1 and below": ("int32", "int64", "float32", "float64")}, "paddle"
+    )
+    def increment(self, value, name=None):
+        return paddle_frontend.increment(self, value)
+
+    @with_supported_dtypes(
+        {"2.5.1 and below": ("bool", "int32", "int64", "float32", "float64")}, "paddle"
+
         {"2.6.0 and below": ("float32", "float64", "int32", "int64")}, "paddle"
     )
     def heaviside(self, y, name=None):

ivy_tests/test_ivy/test_frontends/test_paddle/test_math.py

@@ -1291,6 +1291,36 @@ 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",

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_tensor.py

@@ -5846,6 +5846,21 @@ def test_paddle_tensor_heaviside(
     )
 
 
+
+# increment
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="increment",
+    dtypes_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=1,
+        shape=(1,),
+    ),
+)
+def test_paddle_tensor_increment(
+    dtypes_and_x,
+
 # matmul
 @handle_frontend_method(
     class_tree=CLASS_TREE,
@@ -5902,13 +5917,24 @@ def test_paddle_tensor_matmul(
 def test_paddle_tensor_squeeze(
     dtype_value,
     axis,
+
     frontend_method_data,
     init_flags,
     method_flags,
     frontend,
     on_device,
     backend_fw,
 ):
+
+    input_dtype, x = dtypes_and_x
+    value = 5.0  # example value to increment
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={"data": x[0]},
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={"value": value},
+
     input_dtype, x = dtype_value
     helpers.test_frontend_method(
         init_input_dtypes=input_dtype,
@@ -5920,6 +5946,7 @@ def test_paddle_tensor_squeeze(
         method_all_as_kwargs_np={
             "axis": axis,
         },
+
         frontend_method_data=frontend_method_data,
         init_flags=init_flags,
         method_flags=method_flags,