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Updated Autograd Basics (markdown)

soulitzer
2021-08-12 16:25:36 -04:00
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Autograd-Basics.md

@ -76,12 +76,9 @@ See details in the doc for how to implement such a Function [link](https://pytor
## How do I test an autograd formula?
Now that you have your function implemented and supporting autograd, it is time to check if the computed gradients are correct.
We provide a builin tool for that called [`autograd.gradcheck`](https://pytorch.org/docs/stable/generated/torch.autograd.gradcheck.html?highlight=gradcheck#torch.autograd.gradcheck).
We provide a builin tool for that called [`autograd.gradcheck`](https://pytorch.org/docs/stable/generated/torch.autograd.gradcheck.html?highlight=gradcheck#torch.autograd.gradcheck). See [here](https://colab.research.google.com/drive/1fc3pfw-tIHx0nR-E5iAFdBwY2nmnTFOG) for a quick intro (toy implementation).
This can be used to compare the gradient you implemented with a [finite difference](https://en.wikipedia.org/wiki/Finite_difference) approximation.
Helpful links:
- See [here](https://colab.research.google.com/drive/1fc3pfw-tIHx0nR-E5iAFdBwY2nmnTFOG) for a quick intro to what gradcheck does + discussion of gradgradcheck.
## Try out the Autograd Onboarding Lab
https://github.com/pytorch/pytorch/wiki/Autograd-Onboarding-Lab