I'm running Ubuntu on a laptop with a dGPU. I installed tensorflow using docker: docker pull tensorflow/tensorflow:latest. Tensorflow (2.19.0) can use a XLA CPU and a GPU. I'm following this tutorial: https://www.tensorflow.org/tutorials/load_data/video. When running the tutorial, I hit this message XLA compilation requires a fixed tensor list size. Set the max number of elements. This could also happen if you're using a TensorArray in a while loop that does not have its maximum_iteration set, you can fix this by setting maximum_iteration to a suitable value. The tutorial calls model.fit that triggers the error. According to the python callstack, the problem is around this line: Stack trace for op definition: ... File "usr/local/lib/python3.11/dist-packages/keras/src/utils/traceback_utils.py", line 117, in error_handler File "usr/local/lib/python3.11/dist-packages/keras/src/backend/tensorflow/trainer.py", line 371, in fit File "usr/local/lib/python3.11/dist-packages/keras/src/backend/tensorflow/trainer.py", line 219, in function > vi /usr/local/lib/python3.11/dist-packages/keras/src/backend/tensorflow/trainer.py +371 def fit( ... self.stop_training = False self.make_train_function() callbacks.on_train_begin() training_logs = None logs = {} initial_epoch = self._initial_epoch or initial_epoch for epoch in range(initial_epoch, epochs): self.reset_metrics() callbacks.on_epoch_begin(epoch) with epoch_iterator.catch_stop_iteration(): for step, iterator in epoch_iterator: callbacks.on_train_batch_begin(step) logs = self.train_function(iterator) <= ERROR SPAWNED This problem is referenced here: https://android.googlesource.com/pl...-need-to-be-bounded-or-have-backprop-disabled and the solution seems to fix maximum_iterations. I tried to pass maximum_iterations to fit... But I hit this: TypeError: TensorFlowTrainer.fit() got an unexpected keyword argument 'maximum_iterations' How to fix this error if I can't pass arguments from model.fit to self.train_function? On dGPU with XLA, how to deal with these error? Continue reading...