Why does training a tensorflow model with a tf.data pipeline yield radically different results than directly feeding with EagerTensors?

Question

I am trying to set up a pipeline to train a model. To get started, I am using \'training wheels\'. I preprocess all of my data into 5 EagerTensors -- 3 for features, 2 for t