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A category for torch.compile and PyTorch 2.0 related compiler issues.
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This category is for questions, discussion and issues related to PyTorch’s quantization feature.

A category of posts focused on production usage of PyTorch. Mobile deployment is out of scope for this category (for now… )

Topics related to DataLoader, Dataset, torch.utils.data, pytorch/data, and TorchArrow.

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Tell the community how you’re using PyTorch!

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this category is focused on python deployment of PyTorch models and specifically the torch::deploy and torch.package APIs. More can be found at pytorch.org in the docs…

A section to discuss RL implementations, research, problems

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TorchX is an SDK for quickly building and deploying ML applications from R&D to production. It offers various builtin components that encode MLOps best practices and make advanced features like distributed training and hyperparameter optimization accessible to all. Users can get started with TorchX with no added setup cost since it supports popular ML schedulers and pipeline orchestrators that are already widely adopted and deployed in production.

This category is for the Glow neural network accelerator compiler: https://github.com/pytorch/glow

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