# Some more complex autograd use cases

**URL:** <https://dev-discuss.pytorch.org/t/some-more-complex-autograd-use-cases/62>\
**Category:** autodiff\
**Created:** [January 25, 2021, 5:02pm UTC](https://dev-discuss.pytorch.org/t/some-more-complex-autograd-use-cases/62 "2021-01-25T17:02:32Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![albanD](https://yyz2.discourse-cdn.com/flex036/user_avatar/dev-discuss.pytorch.org/alband/32/9_2.png) [@albanD](https://dev-discuss.pytorch.org/u/albanD)\
**Post date:** [January 25, 2021, 5:02pm UTC](https://dev-discuss.pytorch.org/t/some-more-complex-autograd-use-cases/62/1 "2021-01-25T17:02:32Z")

</div>

When discussing the ML Compute (Apple ML library) integration, I made this description of some of the more complex use cases for the autograd.

This might be interesting to other to looks at, link [here](https://colab.research.google.com/drive/1OZzk6lXFDKUweLFFTvGUPo528_3KT-rl?usp=sharing).

Feel free to ask any question here or if anything is missing!