I am trying to compute the Hessian-vector product. The documentation on Advanced automatic differentiation (Advanced automatic differentiation  |  TensorFlow Core) links to:

  

      github.com
  

  
    tensorflow/tensorflow/blob/master/tensorflow/python/eager/benchmarks/resnet50/hvp_test.py 3


    # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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"""Tests and benchmarks for Hessian-vector products with ResNet50."""

import gc
import time

from absl.testing import parameterized



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However, this has half a dozen different ways of implementing it! Which is most efficient? I tried to run the benchmark to get those numbers, but I couldn’t figure out how.