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functorch is JAX-like composable function transforms for PyTorch.

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Hi, Thanks for your great work, I'm working with some minimize algorithm accleration using this code and find a problem. Here is a sample example to reproduce the conditon: ```python...

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Reviewed By: ezyang Differential Revision: D39374319

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Hi All, I've tried improving the speed of my code via using `memory_efficient_fusion`, however, it leads to `Tensor.requires_grad_()` error and I have no idea why. The error is as follows,...

Hi. Thanks for providing functorch, one of most effective lib. Actually i am working on my code which needs an access into both per-sample gradient in mini-batch and per-batch gradient,...

Hi all, I have some problem when computing the vjp (with torch.autograd.grad) between the jacobian of a neural network w.r.t. its parameters and a random tensor. The neural network evaluates...

Hi Pytorch team, recently I need to calculate per sample's gradient with respect to part of model's parameters. The problem is that for the toy example, it works. But for...

Greetings, I am very grateful that vmap is supported in functorch. Is there any plan to include support for pmap in the future? Thank you. Additionally, what are the ways...

I met this issue when I use `jacrev` function to calculate the Jacobian matrix using a VisionTransformer. The exception occurs when I move the VisionTransformer to GPU. RuntimeError('wrapper->level().value() level().val.... escaped?',)...

We're looking for more motivated open-source developers to help build out functorch (and PyTorch, since functorch is now just a part of PyTorch). Below is a selection of good first...

good first issue

## 🚀 Feature Cross-post of https://github.com/pytorch/pytorch/issues/62320. torch.nonzero, torch.unique, etc should accept an optional size argument to produce statically shaped output. We should identify all the PyTorch operations that need this...

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needs design