feat: Add __rpow__ method to PaddleTensor class

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

@@ -194,6 +194,13 @@ def __rmul__(self, y, /, name=None):
     def __xor__(self, y, /, name=None):
         return paddle_frontend.logic.bitwise_xor(self, y)
 
+    @with_unsupported_dtypes(
+        {"2.5.2 and below": ("bool", "unsigned", "int8", "float16", "bfloat16")},
+        "paddle",
+    )
+    def __rpow__(self, y, /, name=None):
+        return paddle_frontend.pow(y, self)
+
     # Instance Methods #
     # ---------------- #
 

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

@@ -794,6 +794,48 @@ def test_paddle__rmul__(
     )
 
 
+# __rpow__
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="__rpow__",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("numeric"),
+        num_arrays=2,
+        min_value=1,
+    ),
+)
+def test_paddle__rpow__(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x = dtype_and_x
+    dtype = input_dtype[0]
+    if "int" in dtype:
+        x[0] = ivy.abs(x[0])
+    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={
+            "other": x[1],
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # __rsub__
 @handle_frontend_method(
     class_tree=CLASS_TREE,