Coursera Machine Learning Specialization
C2 W1 Assignment - When I run the code in the online lab, it runs without error but when I run the same code in jupyter lab outside of the coursera class the code produces an error message. Can someone tell me why I get this error : --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[44], line 4 1 # UNIT TESTS 2 from public_tests import * ----> 4 test_c1(model) in test_c1(target) 7 def test_c1(target): 8 assert len(target.layers) == 3, \ 9 f"Wrong number of layers. Expected 3 but got {len(target.layers)}" —> 10 assert target.input.shape.as_list() == [None, 400], \ 11 f"Wrong input shape. Expected [None, 400] but got {target.input.shape.as_list()}" 12 i = 0 13 expected = [[Dense, [None, 25], tf_keras_sigmoid], 14 [Dense, [None, 15], tf_keras_sigmoid], 15 [Dense, [None, 1], tf_keras_sigmoid]] File , in Operation.input(self) 244 @property 245 def input(self): 246 “”“Retrieves the input tensor(s) of a symbolic operation. 247 248 Only returns the tensor(s) corresponding to the first time (…) 252 Input tensor or list of input tensors. 253 “”” → 254 return self._get_node_attribute_at_index(0, “input_tensors”, “input”) , in Operation._get_node_attribute_at_index(self, node_index, attr, attr_name) 269 “”“Private utility to retrieves an attribute (e.g. inputs) from a node. 270 271 This is used to implement the properties: (…) 282 The operation’s attribute attr at the node of index node_index. 283 “”” 284 if not self._inbound_nodes: → 285 raise AttributeError( 286 f"The layer {self.name} has never been called " 287 f"and thus has no defined {attr_name}." 288 ) 289 if not len(self._inbound_nodes) > node_index: 290 raise ValueError( 291 f"Asked to get {attr_name} at node " 292 f"{node_index}, but the operation has only " 293 f"{len(self._inbound_nodes)} inbound nodes." 294 ) AttributeError: The layer my_model has never been called and thus has no defined input.