feat: Paddle Frontend: tensor __radd__ (#27303)

Co-authored-by: NripeshN <[email protected]>

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

@@ -68,6 +68,13 @@ def ivy_array(self, array):
     def __add__(self, y, /, name=None):
         return paddle_frontend.add(self, y)
 
+    @with_unsupported_dtypes(
+        {"2.5.2 and below": ("bool", "unsigned", "int8", "float16", "bfloat16")},
+        "paddle",
+    )
+    def __radd__(self, x, /, name=None):
+        return paddle_frontend.add(self, x)
+
     @with_unsupported_dtypes(
         {"2.5.2 and below": ("bool", "unsigned", "int8", "float16", "bfloat16")},
         "paddle",

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

@@ -492,6 +492,43 @@ def test_paddle___or__(
     )
 
 
+# __radd__
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="__radd__",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"), num_arrays=2, shared_dtype=True
+    ),
+)
+def test_paddle___radd__(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    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={
+            "x": x[1],
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # __setitem__
 @handle_frontend_method(
     class_tree=CLASS_TREE,