C5 W1 A3 (Jazz Improvisation) Programming Assignment: Error executing code

Course Q&A Deep Learning Specialization Sequence Models
1

I am getting below error while executing code for Exercise 1 (djmodel). I am unable fix it. Kindly help.

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-7-6e06a9870a31> in <module>
      1 ### YOU CANNOT EDIT THIS CELL
      2 
----> 3 model = djmodel(Tx=30, LSTM_cell=LSTM_cell, densor=densor, reshaper=reshaper)

<ipython-input-6-1a09a2cd603e> in djmodel(Tx, LSTM_cell, densor, reshaper)
     64     # Step 3: Create model instance
     65     #model = Model(inputs=[X, a0, c0], outputs=outputs)
---> 66     model = Model(inputs=[X, a0, c0], outputs=outputs)
     67 
     68     ### 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)
    140 
    141     if any(not hasattr(tensor, '_keras_history') for tensor in self.outputs):
--> 142       base_layer_utils.create_keras_history(self._nested_outputs)
    143 
    144     self._validate_graph_inputs_and_outputs()

/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer_utils.py in create_keras_history(tensors)
    189       the raw Tensorflow operations.
    190   """
--> 191   _, created_layers = _create_keras_history_helper(tensors, set(), [])
    192   return created_layers
    193 

/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer_utils.py in _create_keras_history_helper(tensors, processed_ops, created_layers)
    224                        'op wrapping. Please wrap these ops in a Lambda layer: '
    225                        '\n\n```\n{example}\n```\n'.format(example=example))
--> 226     op = tensor.op  # The Op that created this Tensor.
    227     if op not in processed_ops:
    228       # Recursively set `_keras_history`.

/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in op(self)
   1213   def op(self):
   1214     raise AttributeError(
-> 1215         "Tensor.op is meaningless when eager execution is enabled.")
   1216 
   1217   @property

AttributeError: Tensor.op is meaningless when eager execution is enabled.
2

I suspect there is an error in your code in djmodel() that computes the “outputs” variable.

3

Tom is right. Please read the instructions and your code again for Step 2 (2.A, 2.B, 2.C, 2.D, and 2.E).

4

Thanks, I figured out the issue in my previous code and managed to get that piece of code working. I am however, getting following error while running comparator, although it seems that I have implemented each step correctly:

Test failed at index 2
Expected value

[‘Reshape’, (None, 1, 90), 0]

does not match the input value:

[‘TensorFlowOpLayer’, [(None, 90)], 0]

AssertionError Traceback (most recent call last)
in
3 # UNIT TEST
4 output = summary(model)
----> 5 comparator(output, djmodel_out)

~/work/W1A3/test_utils.py in comparator(learner, instructor)
24 “\n\n does not match the input value: \n\n”,
25 colored(f"{b}", “red”))
—> 26 raise AssertionError(“Error in test”)
27 print(colored(“All tests passed!”, “green”))
28

AssertionError: Error in test

5

Please check direct message from me for further instruction.

6

To conclude:

Google is your friend to learn how to create an empty list and how to append something.

8

Hi saifkhanenger, I’m getting the same error. I’m creating an empty list using outputs= and I’m appending the output “out” using outputs.append(out). Any guidance would be much appreciated Regards, Harry

9

Solved it!

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