diff --git a/python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py b/python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py
index 89339303567f2a50d67475a6890a0a3d2578f75d..e2c80404a5db597d873ab46cbbe37a957dd7f995 100644
--- a/python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py
+++ b/python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py
@@ -1013,6 +1013,17 @@ class TestConv2DTransposeRepr(unittest.TestCase):
         paddle.enable_static()
 
 
+class TestConv2dTranspose(unittest.TestCase):
+    def error_weight_input(self):
+        array = np.array([1], dtype=np.float32)
+        x = paddle.to_tensor(np.reshape(array, [1, 1, 1, 1]), dtype='float32')
+        weight = paddle.to_tensor(np.reshape(array, [1]), dtype='float32')
+        paddle.nn.functional.conv2d_transpose(x, weight, bias=0)
+
+    def test_type_error(self):
+        self.assertRaises(ValueError, self.error_weight_input)
+
+
 class TestTensorOutputSize1(UnittestBase):
     def init_info(self):
         self.shapes = [[2, 3, 8, 8]]
diff --git a/python/paddle/nn/functional/conv.py b/python/paddle/nn/functional/conv.py
index 350eeaa3832436f0e0986c4ab64d46a2bb5ad20d..2ad865c47995fd802000e69759d7c23d50b75d7a 100644
--- a/python/paddle/nn/functional/conv.py
+++ b/python/paddle/nn/functional/conv.py
@@ -1204,6 +1204,12 @@ def conv2d_transpose(
                 x.shape
             )
         )
+    if len(weight.shape) != 4:
+        raise ValueError(
+            "Input weight should be 4D tensor, but received weight with the shape of {}".format(
+                weight.shape
+            )
+        )
     num_channels = x.shape[channel_dim]
     if num_channels < 0:
         raise ValueError(