I’m Stuck in the second assignment of week 1 of course 4. In `convolutional_model`

function, I got in this error msg

```
OperatorNotAllowedInGraphError Traceback (most recent call last)
<ipython-input-14-f1284300b767> in <module>
----> 1 conv_model = convolutional_model((64, 64, 3))
2 conv_model.compile(optimizer='adam',
3 loss='categorical_crossentropy',
4 metrics=['accuracy'])
5 conv_model.summary()
<ipython-input-13-66f3c870470b> in convolutional_model(input_shape)
37 # YOUR CODE STARTS HERE
38 Z1 = tf.keras.layers.Conv2D(filters=8, kernel_size=4, strides=1, padding='same')(input_img)
---> 39 A1 = tf.keras.layers.ReLU(Z1)
40 P1 = tf.keras.layers.MaxPool2D(A1, pool_size=8, strides=8, padding='same')
41 Z2 = tf.keras.layers.Conv2D(P1, filters=16, kernel_size=2, strides=1, padding='same')
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/advanced_activations.py in __init__(self, max_value, negative_slope, threshold, **kwargs)
344 def __init__(self, max_value=None, negative_slope=0, threshold=0, **kwargs):
345 super(ReLU, self).__init__(**kwargs)
--> 346 if max_value is not None and max_value < 0.:
347 raise ValueError('max_value of Relu layer '
348 'cannot be negative value: ' + str(max_value))
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in __bool__(self)
875 `TypeError`.
876 """
--> 877 self._disallow_bool_casting()
878
879 def __nonzero__(self):
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in _disallow_bool_casting(self)
488 else:
489 # Default: V1-style Graph execution.
--> 490 self._disallow_in_graph_mode("using a `tf.Tensor` as a Python `bool`")
491
492 def _disallow_iteration(self):
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in _disallow_in_graph_mode(self, task)
477 raise errors.OperatorNotAllowedInGraphError(
478 "{} is not allowed in Graph execution. Use Eager execution or decorate"
--> 479 " this function with @tf.function.".format(task))
480
481 def _disallow_bool_casting(self):
OperatorNotAllowedInGraphError: using a `tf.Tensor` as a Python `bool` is not allowed in Graph execution. Use Eager execution or decorate this function with @tf.function.
```

I googled this error and found out that this because of the upgrade version of TensorFlow to 2.0x. that requires you to assign the compile the model in this way

```
conv_model.compile(optimizer='adam'
loss='categorical_crossentropy',
metrics=[tf.keras.metrics.Accuracy()])
```

not as typed in the assignment notebook

```
conv_model.compile(optimizer='adam',
loss='categorical_crossentropy',
metrics=['accuracy'])
```

I tried to change the test cell but it’s locked as usual.

This is a reference for what I have found

Would you please help?!