diff --git a/python/paddle/fluid/tests/unittests/test_conv3d_transpose_op.py b/python/paddle/fluid/tests/unittests/test_conv3d_transpose_op.py
index bf223b8d59fa58a68bea38318285b9d67b946747..aac41167399d5afb76d460b109b6e43bffe714ac 100644
--- a/python/paddle/fluid/tests/unittests/test_conv3d_transpose_op.py
+++ b/python/paddle/fluid/tests/unittests/test_conv3d_transpose_op.py
@@ -555,5 +555,18 @@ class TestCUDNNWithGroups_NHWC(TestWithGroups):
         self.op_type = "conv3d_transpose"
 
 
+class TestConv3dTranspose(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, 1]), dtype='float32'
+        )
+        weight = paddle.to_tensor(np.reshape(array, [1]), dtype='float32')
+        paddle.nn.functional.conv3d_transpose(x, weight, bias=0)
+
+    def test_type_error(self):
+        self.assertRaises(ValueError, self.error_weight_input)
+
+
 if __name__ == '__main__':
     unittest.main()
diff --git a/python/paddle/nn/functional/conv.py b/python/paddle/nn/functional/conv.py
index 82d25747eadb02d746c4ddbbaf50b1bbf12f9215..350eeaa3832436f0e0986c4ab64d46a2bb5ad20d 100644
--- a/python/paddle/nn/functional/conv.py
+++ b/python/paddle/nn/functional/conv.py
@@ -1678,6 +1678,12 @@ def conv3d_transpose(
                 x.shape
             )
         )
+    if len(weight.shape) != 5:
+        raise ValueError(
+            "Input weight should be 5D tensor, but received weight with the shape of {}".format(
+                weight.shape
+            )
+        )
     num_channels = x.shape[channel_dim]
     num_filters = weight.shape[1]
     if num_channels < 0: