My original code looks like this, it runs on my laptop but not on my friend’s:

rnn = RNNClassifier(num_epochs=20, lstm_units=50, dropout_rate=0.5)
rnn.fit(X_train, y_train)

And the error looks like this:

Epoch 1/30
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-16-0eb094b85c44> in <cell line: 3>()
      1 #YOUR CODE HERE! Replace the nones!
      2 rnn = RNNClassifier(num_epochs=30, lstm_units=50, dropout_rate=0.5)
----> 3 rnn.fit(X_train, y_train)

2 frames
/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py in tf__train_function(iterator)
     13                 try:
     14                     do_return = True
---> 15                     retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
     16                 except:
     17                     do_return = False

ValueError: in user code:

    File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1401, in train_function  *
        return step_function(self, iterator)
    File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1384, in step_function  **
        outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1373, in run_step  **
        outputs = model.train_step(data)
    File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1150, in train_step
        y_pred = self(x, training=True)
    File "/usr/local/lib/python3.10/dist-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
        raise e.with_traceback(filtered_tb) from None
    File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/input_spec.py", line 235, in assert_input_compatibility
        raise ValueError(

    ValueError: Exception encountered when calling layer 'sequential' (type Sequential).
    
    Input 0 of layer "lstm" is incompatible with the layer: expected ndim=3, found ndim=2. Full shape received: (32, 1)
    
    Call arguments received by layer 'sequential' (type Sequential):
      • inputs=tf.Tensor(shape=(32, 1), dtype=string)
      • training=True
      • mask=None

I tried to switch to another google account as it’s on the free version of Colab, I also tried to run all cells again, and split up the code into multiple cells. I kept getting this same error.