Getting error on TimeDistributed()

[deepu0991]

hello I am getting following error on TimeDistributed() layer while running the code in colab, please help me

WARNING:tensorflow:The following Variables were used in a Lambda layer's call (tf.nn.bias_add), but are not present in its tracked objects: <tf.Variable 'att_layer_2/b:0' shape=(100,) dtype=float32>. This is a strong indication that the Lambda layer should be rewritten as a subclassed Layer.

NotImplementedError Traceback (most recent call last)
in
6
7 review_input = Input(shape=(MAX_SENTS, MAX_SENT_LENGTH), dtype='int32')
----> 8 review_encoder = TimeDistributed(sentEncoder)(review_input)
9 l_lstm_sent = Bidirectional(GRU(100, return_sequences=True))(review_encoder)
10 l_att_sent = AttLayer(100)(l_lstm_sent)

1 frames
/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py in compute_output_shape(self, input_shape)
840 raise NotImplementedError(
841 'Please run in eager mode or implement the compute_output_shape '
--> 842 'method on your layer (%s).' % self.class.name)
843
844 @doc_controls.for_subclass_implementers

NotImplementedError: Exception encountered when calling layer "time_distributed" (type TimeDistributed).

Please run in eager mode or implement the compute_output_shape method on your layer (TFOpLambda).

Call arguments received:
• inputs=tf.Tensor(shape=(None, 15, 100), dtype=int32)
• training=None
• mask=None