Problem when running the model to check the shape of the output.

[sid548]

While executing the below code:

for input_example_batch, target_example_batch in dataset.take(1): example_batch_predictions = model(input_example_batch) print(example_batch_predictions.shape, "# (batch_size, sequence_length, vocab_size)") The following error is encountered:

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InvalidArgumentError Traceback (most recent call last) Cell In[42], line 3 1 for input_example_batch, target_example_batch in dataset.take(1): 2 print(input_example_batch.shape) ----> 3 example_batch_predictions = model(input_example_batch) 4 print( 5 example_batch_predictions.shape, 6 "# (batch_size, sequence_length, vocab_size)", 7 )

File ~/Desktop/coursera/venv/lib/python3.11/site-packages/keras/src/utils/traceback_utils.py:122, in filter_traceback..error_handler(*args, **kwargs) 119 filtered_tb = _process_traceback_frames(e.traceback) 120 # To get the full stack trace, call: 121 # keras.config.disable_traceback_filtering() --> 122 raise e.with_traceback(filtered_tb) from None 123 finally: 124 del filtered_tb

Cell In[40], line 17, in MyModel.call(self, inputs, states, return_state, training) 13 # since we are training a text generation model, 14 # we use the previous state, in training. If there is no state, 15 # then we initialize the state 16 if states is None: ---> 17 states = self.gru.get_initial_state(x) 18 x, states = self.gru(x, initial_state=states, training=training) 19 x = self.dense(x, training=training)

InvalidArgumentError: Exception encountered when calling MyModel.call().

{{function_node _wrapped__Pack_N_2_device/job:localhost/replica:0/task:0/device:CPU:0}} Shapes of all inputs must match: values[0].shape = [64,100,256] != values[1].shape = [] [Op:Pack] name:

Arguments received by MyModel.call(): • inputs=tf.Tensor(shape=(64, 100), dtype=int64) • states=None • return_state=False • training=False

Kindly suggest.