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AI-Hypercomputer is where customers and users can find optimized implementation of representative models.
Please add a section in the PyTorchXLA README page (and the html documentation) that introduces this concept and points the users to the following resource: https://github.com/AI-Hypercomputer/tpu-recipes
Keep in mind that the AI-Hypercomputer tpu-recipe repo is WIP and gradually grows in scope.
Read more context on AI-Hypercomputer
Timeline: would be great to add this documentation to the repo for 2.6 branch cut.
cc @tengyifei
The text was updated successfully, but these errors were encountered:
Fixed with PR: 8412
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mikegre-google
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📚 Documentation
AI-Hypercomputer is where customers and users can find optimized implementation of representative models.
Please add a section in the PyTorchXLA README page (and the html documentation) that introduces this concept and points the users to the following resource: https://github.com/AI-Hypercomputer/tpu-recipes
Keep in mind that the AI-Hypercomputer tpu-recipe repo is WIP and gradually grows in scope.
Read more context on AI-Hypercomputer
Timeline: would be great to add this documentation to the repo for 2.6 branch cut.
cc @tengyifei
The text was updated successfully, but these errors were encountered: