diff --git a/python/paddle/fluid/imperative/nn.py b/python/paddle/fluid/imperative/nn.py
index ef1d28e59e0815628967eef2459a8555b4af621c..24f1865f3d1d9a010194333c2bb5abacd992c795 100644
--- a/python/paddle/fluid/imperative/nn.py
+++ b/python/paddle/fluid/imperative/nn.py
@@ -251,10 +251,16 @@ class FC(layers.Layer):
 
 
 class SimpleRNNCell(layers.Layer):
-    def __init__(self, step_input_size, hidden_size, output_size, param_attr):
+    def __init__(self,
+                 step_input_size,
+                 hidden_size,
+                 output_size,
+                 param_attr,
+                 dtype=core.VarDesc.VarType.FP32):
         self.input_size = step_input_size
         self.hidden_size = hidden_size
         self.output_size = output_size
+        self._dype = core.VarDesc.VarType.FP32
         from ..layer_helper import LayerHelper
         self._helper = LayerHelper('SimpleRNNCell', param_attr=param_attr)
 
@@ -279,4 +285,19 @@ class SimpleRNNCell(layers.Layer):
             is_bias=False)
 
     def forward(self, inputs):
+        input = inputs[0]
+        pre_hidden = inputs[1]
+        out = self._helper.create_variable_for_type_inference(self._dtype)
+        hidden = self._helper.create_variable_for_type_inference(self._dype)
+
+        self._helper.append_op(
+            type="mul",
+            inputs={"X": input,
+                    "Y": self._w},
+            outputs={"Out": out},
+            attrs={
+                "x_num_col_dims": self._num_flatten_dims,
+                "y_num_col_dims": 1
+            })
+
         return 1