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The "Pytorch/XLA overview" includes many advanced topics that go beyond an "overview", including how to specifically convert Stable Diffusion to run on TPUs (which is more of a Guide) and how to profile (which is more of a Tutorial). The result is an intimidating introduction for potential users of PyTorch/XLA.
I'd suggest we break the SD section into a stand-alone guide. And the profiling section into a standalone tutorial, one with a simplified example that has a successful outcome (the current section ends with a "we found the problems but there's nothing we can do").
The remaining copy can be redrafted into an "intro", so that users can hear about some of the benefits of PyTorch/XLA and as a result get encouraged to continue reading and even trying out the platform.
The text was updated successfully, but these errors were encountered:
📚 Documentation
The "Pytorch/XLA overview" includes many advanced topics that go beyond an "overview", including how to specifically convert Stable Diffusion to run on TPUs (which is more of a Guide) and how to profile (which is more of a Tutorial). The result is an intimidating introduction for potential users of PyTorch/XLA.
I'd suggest we break the SD section into a stand-alone guide. And the profiling section into a standalone tutorial, one with a simplified example that has a successful outcome (the current section ends with a "we found the problems but there's nothing we can do").
The remaining copy can be redrafted into an "intro", so that users can hear about some of the benefits of PyTorch/XLA and as a result get encouraged to continue reading and even trying out the platform.
The text was updated successfully, but these errors were encountered: