fix bucket_batch ci error

mindspore/ccsrc/minddata/dataset/kernels/py_func_op.cc

@@ -50,14 +50,8 @@ Status PyFuncOp::Compute(const TensorRow &input, TensorRow *output) {
       } else {
         ret_py_obj = this->py_func_ptr_();
       }
-      // Object is none if pyfunc timeout
-      if (ret_py_obj.is_none()) {
-        MS_LOG(INFO) << "Pyfunc execute time out";
-        goto TimeoutError;
-      }
       if (output_type_ != DataType::DE_UNKNOWN) {
         RETURN_IF_NOT_OK(CastOutput(ret_py_obj, output));
-
       } else {
         if (py::isinstance<py::tuple>(ret_py_obj)) {
           // In case of a n-m mapping, the return value will be a tuple of numpy arrays
@@ -65,6 +59,10 @@ Status PyFuncOp::Compute(const TensorRow &input, TensorRow *output) {
           // Iterate over two containers simultaneously for memory copy
           for (size_t i = 0; i < ret_py_tuple.size(); i++) {
             py::object ret_py_ele = ret_py_tuple[i];
+            // Object is none if pyfunc timeout
+            if (ret_py_ele.is_none()) {
+              goto TimeoutError;
+            }
             if (!py::isinstance<py::array>(ret_py_ele)) {
               goto ShapeMisMatch;
             }

mindspore/dataset/engine/datasets.py

@@ -1979,7 +1979,7 @@ class _PythonCallable:
                 return result.get(60)
             except multiprocessing.TimeoutError:
                 # Ensure c++ pyfunc threads exit normally if python sub-process is killed unnormally.
-                return None
+                return (None,)
             except KeyboardInterrupt:
                 self.pool.terminate()
                 self.pool.join()

tests/ut/python/dataset/test_paddeddataset.py

@@ -504,7 +504,7 @@ def test_celeba_padded():
     count = 0
     for _ in data.create_dict_iterator(num_epochs=1, output_numpy=True):
         count = count + 1
-    assert count == 2
+    assert count == 4 
 
 
 if __name__ == '__main__':