Called once for each train loop. BaseModel.ProcessFPropResults is also called on each loop, so you can put your implementation wherever it is most convenient for you. Be sure to implement BaseTask.FilterPerExampleTensors if you plan to use any per-example tensors in this method.
(self, sess, global_step, metrics, per_example)
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