Created
June 8, 2020 04:37
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| per_example_loss = tf.reduce_sum( | |
| relevance_grades_prob_dist * tf.math.log(relevance_grades_prob_dist / scores_prob_dist), | |
| axis=-1 | |
| ) | |
| print(per_example_loss) |
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