ValueError and TypeError in the custom_recurrents.py

[1922353531]

Traceback (most recent call last):
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 455, in _apply_op_helper
as_ref=input_arg.is_ref)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1211, in internal_convert_n_to_tensor
ctx=ctx))
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1146, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 229, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 208, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 430, in make_tensor_proto
raise ValueError("None values not supported.")
ValueError: None values not supported.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:/Users/Bruce Rogers/Artificial Intelligence/IMU Developer/conversation module/embedding+BidLstm+attentiondecoder/keras_FunctionAPI_model.py", line 18, in
attention_decoder_outputs = AttentionDecoder(settings.LSTM_neurons, data_setting.output_vocab_size)(encoder_bid_lstm_outputs)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\keras\legacy\layers.py", line 513, in call
return super(Recurrent, self).call(inputs, **kwargs)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\keras\engine\base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "C:\Users\Bruce Rogers\Artificial Intelligence\IMU Developer\conversation module\embedding+BidLstm+attentiondecoder\Attention.py", line 422, in call
return super(AttentionDecoder, self).call(x)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\keras\legacy\layers.py", line 590, in call
input_length=timesteps)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2922, in rnn
outputs, _ = step_function(inputs[0], initial_states + constants)
File "C:\Users\Bruce Rogers\Artificial Intelligence\IMU Developer\conversation module\embedding+BidLstm+attentiondecoder\Attention.py", line 466, in step
_stm = K.repeat(stm, self.timesteps)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2137, in repeat
pattern = tf.stack([1, n, 1])
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\ops\array_ops.py", line 874, in stack
return gen_array_ops.pack(values, axis=axis, name=name)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 5856, in pack
"Pack", values=values, axis=axis, name=name)
File "C:\Users\Bruce Rogers\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 483, in _apply_op_helper
raise TypeError("%s that don't all match." % prefix)
TypeError: Tensors in list passed to 'values' of 'Pack' Op have types [int32, , int32] that don't all match.