feat(paddle): Add mean method to Paddle Frontend

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

@@ -795,3 +795,7 @@ def nonzero(self):
     @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
     def inner(self, y, name=None):
         return paddle_frontend.inner(self._ivy_array, y, name)
+
+    @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+    def mean(self, axis=None, keepdim=False, name=None):
+        return paddle_frontend.mean(self._ivy_array, axis=axis, keepdim=keepdim)

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

@@ -2678,6 +2678,42 @@ def test_paddle_tensor_max(
     )
 
 
+# mean
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="mean",
+    dtype_and_x=_statistical_dtype_values(function="mean"),
+    keepdim=st.booleans(),
+)
+def test_paddle_tensor_mean(
+    dtype_and_x,
+    keepdim,
+    frontend,
+    backend_fw,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    on_device,
+):
+    input_dtype, x, axis = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        init_all_as_kwargs_np={"data": x[0]},
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={
+            "axis": axis,
+            "keepdim": keepdim,
+        },
+        frontend=frontend,
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        backend_to_test=backend_fw,
+        method_flags=method_flags,
+        on_device=on_device,
+    )
+
+
 @handle_frontend_method(
     class_tree=CLASS_TREE,
     init_tree="paddle.to_tensor",