Error

[abhishek111222]

I am getting this error while running this code.

18
---> 19 forwards = AttentionLSTM(64, attention_vector)(embedded)
20 backwards = AttentionLSTM(64, attention_vector, go_backwards=True)(embedded)
21

6 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/layers/recurrent.py in call(self, inputs, initial_state, constants, **kwargs)
658
659 if initial_state is None and constants is None:
--> 660 return super(RNN, self).call(inputs, **kwargs)
661
662 # If any of initial_state or constants are specified and are Keras

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py in call(self, *args, **kwargs)
950 if _in_functional_construction_mode(self, inputs, args, kwargs, input_list):
951 return self._functional_construction_call(inputs, args, kwargs,
--> 952 input_list)
953
954 # Maintains info about the Layer.call stack.

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py in _functional_construction_call(self, inputs, args, kwargs, input_list)
1089 # Check input assumptions set after layer building, e.g. input shape.
1090 outputs = self._keras_tensor_symbolic_call(
-> 1091 inputs, input_masks, args, kwargs)
1092
1093 if outputs is None:

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py in _keras_tensor_symbolic_call(self, inputs, input_masks, args, kwargs)
820 return nest.map_structure(keras_tensor.KerasTensor, output_signature)
821 else:
--> 822 return self._infer_output_signature(inputs, args, kwargs, input_masks)
823
824 def _infer_output_signature(self, inputs, args, kwargs, input_masks):

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py in _infer_output_signature(self, inputs, args, kwargs, input_masks)
860 # overridden).
861 # TODO(kaftan): do we maybe_build here, or have we already done it?
--> 862 self._maybe_build(inputs)
863 outputs = call_fn(inputs, *args, **kwargs)
864

/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py in _maybe_build(self, inputs)
2708 # operations.
2709 with tf_utils.maybe_init_scope(self):
-> 2710 self.build(input_shapes) # pylint:disable=not-callable
2711 # We must set also ensure that the layer is marked as built, and the build
2712 # shape is stored since user defined build functions may not be calling

in build(self, input_shape)
24 attention_dim = self.attention_vec._keras_shape[1]
25 else:
---> 26 raise Exception('Layer could not be build: No information about expected input shape.')
27
28 self.U_a = self.inner_init((self.output_dim, self.output_dim), name='{}_U_a'.format(self.name))

Exception: Layer could not be build: No information about expected input shape.