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You have recently created a deep learning model using Keras and are currently exploring various training strategies. Initially, you trained the model on a single GPU, but the training process proved to be too slow. Subsequently, you attempted to distribute the training across 4 GPUs using tf.distribute.MirroredStrategy, but you did not observe a reduction in training time. What steps should you take next?