I get this an error and I’m using out as an input for argmx
ValueError Traceback (most recent call last)
in
1 ### YOU CANNOT EDIT THIS CELL
----> 2 inference_model = music_inference_model(LSTM_cell, densor, Ty = 50)
in music_inference_model(LSTM_cell, densor, Ty)
55
56 # Step 3: Create model instance with the correct “inputs” and “outputs” (≈1 line)
—> 57 inference_model = Model(inputs=[X,a0,c0], outputs=outputs)
58
59 ### END CODE HERE ###
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py in new(cls, *args, **kwargs)
240 # Functional model
241 from tensorflow.python.keras.engine import functional # pylint: disable=g-import-not-at-top
→ 242 return functional.Functional(*args, **kwargs)
243 else:
244 return super(Model, cls).new(cls, *args, **kwargs)
/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/tracking/base.py in _method_wrapper(self, *args, **kwargs)
455 self._self_setattr_tracking = False # pylint: disable=protected-access
456 try:
→ 457 result = method(self, *args, **kwargs)
458 finally:
459 self._self_setattr_tracking = previous_value # pylint: disable=protected-access
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/functional.py in init(self, inputs, outputs, name, trainable)
113 # ‘arguments during initialization. Got an unexpected argument:’)
114 super(Functional, self).init(name=name, trainable=trainable)
→ 115 self._init_graph_network(inputs, outputs)
116
117 @trackable.no_automatic_dependency_tracking
/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/tracking/base.py in _method_wrapper(self, *args, **kwargs)
455 self._self_setattr_tracking = False # pylint: disable=protected-access
456 try:
→ 457 result = method(self, *args, **kwargs)
458 finally:
459 self._self_setattr_tracking = previous_value # pylint: disable=protected-access
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/functional.py in _init_graph_network(self, inputs, outputs)
142 base_layer_utils.create_keras_history(self._nested_outputs)
143
→ 144 self._validate_graph_inputs_and_outputs()
145
146 # A Network does not create weights of its own, thus it is already
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/functional.py in _validate_graph_inputs_and_outputs(self)
637 'must come from tf.keras.Input. ’
638 ‘Received: ’ + str(x) +
→ 639 ’ (missing previous layer metadata).’)
640 # Check that x is an input tensor.
641 # pylint: disable=protected-access
ValueError: Input tensors to a Functional must come from tf.keras.Input. Received: [[[False False False … False False False]
[False False False … False False False]
[False False False … True False False]
…
[False False False … False False False]
[False False False … False False False]
[False False False … False False False]]
[[False False False … False False False]
[False False False … False False False]
[False False False … False False False]
…
[False False False … False False False]
[False False False … True False False]
[False False False … False False False]]
[[False False False … False False False]
[False False False … False False False]
[False False False … True False False]
…
[False False False … False False False]
[False False False … False False False]
[False False False … False False False]]
…
[[False False False … False False False]
[False False False … False False False]
[False False False … False False False]
…
[False False False … False False False]
[False False False … False False False]
[False False False … False True False]]
[[False False False … False False False]
[False False False … False False False]
[False False False … False False False]
…
[False False False … False False False]
[False False False … False False False]
[False False False … False False False]]
[[False False False … False False False]
[False False False … False False False]
[False False False … True False False]
…
[False False False … False False False]
[False False False … False False False]
[ True False False … False False False]]] (missing previous layer metadata).