Hey All. I am a little stuck on Exercise 2 of the Jazz solo assignment in week 1. I get this assertion error and I dont know what i means.
When i run :
inference_model = music_inference_model(LSTM_cell, densor, Ty = 50)
*I get the following : *
WARNING:tensorflow:Functional inputs must come from tf.keras.Input (thus holding past layer metadata), they cannot be the output of a previous non-Input layer. Here, a tensor specified as input to “functional_29” was not an Input tensor, it was generated by layer repeat_vector_430.
Note that input tensors are instantiated via tensor = tf.keras.Input(shape).
The tensor that caused the issue was: repeat_vector_430/Tile:0
WARNING:tensorflow:Functional inputs must come from tf.keras.Input (thus holding past layer metadata), they cannot be the output of a previous non-Input layer. Here, a tensor specified as input to “functional_29” was not an Input tensor, it was generated by layer lstm_7.
Note that input tensors are instantiated via tensor = tf.keras.Input(shape).
The tensor that caused the issue was: lstm_7/PartitionedCall_133:0
WARNING:tensorflow:Functional inputs must come from tf.keras.Input (thus holding past layer metadata), they cannot be the output of a previous non-Input layer. Here, a tensor specified as input to “functional_29” was not an Input tensor, it was generated by layer lstm_7.
Note that input tensors are instantiated via tensor = tf.keras.Input(shape).
The tensor that caused the issue was: lstm_7/PartitionedCall_133:3
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
in
----> 1 inference_model = music_inference_model(LSTM_cell, densor, Ty = 50)
in music_inference_model(LSTM_cell, densor, Ty)
-
57 * -
58 # Step 3: Create model instance with the correct "inputs" and "outputs" (≈1 line)*
—> 59 inference_model = Model(inputs=[x, a, c], outputs=outputs)
-
60 * -
61 ### 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)
- 182 # It’s supposed to be an input layer, so only one node*
- 183 # and one tensor output.*
→ 184 assert node_index == 0 - 185 assert tensor_index == 0*
- 186 self._input_layers.append(layer)*
AssertionError:
I have uploaded the notebook.
Thanks
{moderator edit - notebook attachment removed}