title: How to input 5D tensor to keras model.fit
body: <p>I am utilizing tensorflow ver 2, tensorflow.keras. </p>
  
  <p>A model I made is in a sequence of <code>tf.keras.Conv2D</code> ( which requires 4D input tensor (samples, rows, cols, channels) </p>
  
  <p>then <code>tf.keras.convLSTM2D</code> (which requires 5D input tensor (samples, time, rows, cols, channels). </p>
  
  <p>Because of this reason, I made an input with 5D tensor (samples, time, rows, cols, channels) but it can't be fed into tf.keras.Conv2D at the beginning when I implement <code>model.fit(train_data, train_data... )</code> </p>
  
  <p>Is there any way to make model.fit to take 5D tensor?  </p>