add_n

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

@@ -110,6 +110,11 @@ def abs(self):
     def acosh(self, name=None):
         return paddle_frontend.Tensor(ivy.acosh(self._ivy_array))
 
+    @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
+    def add_n(self, inputs, name=None):
+        inputs = ivy.array(inputs)
+        return ivy.sum(inputs, dtype=inputs.dtype, axis=0)
+
     @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
     def ceil(self):
         return paddle_frontend.ceil(self)

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

@@ -568,6 +568,40 @@ def test_paddle_tensor_add_(
     )
 
 
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="add_n",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=helpers.ints(min_value=1, max_value=5),
+        shared_dtype=True,
+    ),
+)
+def test_paddle_tensor_add_n(
+    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={"inputs": x},
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={"inputs": x},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # all
 @handle_frontend_method(
     class_tree=CLASS_TREE,