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[Tracker] WIP features for torchao 0.3 #252
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Happy to contribute on any of these fronts. |
@jeromeku for
yes, it's called here is an model level API walk through using the tensor subclass: https://github.com/pytorch/ao/tree/main/torchao/quantization#quantization-flow currently I'm working on replacing existing APIs with it: #294, after that I also plan to publish a more detailed tutorials to talk about how to implement a new data representation with tensor subclass, using this as an example |
@jeromeku regarding your other questions
|
Are we going to support dynamic inputs? |
Hi @bhack! Seen you on a lot of threads. Could you share a bit more what you mean by dynamic inputs? Are you referring to dynamic shapes? |
Yes dynamic input shape but not mainly on the batch dimension. So e.g. image with different width and height |
Focus - benchmarking, documentation, tutorials, prototype to beta
Due date: June 13 2024
Spillover from 0.2.0
Benchmarking
Documentation
Tutorials
Core
implements
decorator for affine quantization dtypeThe text was updated successfully, but these errors were encountered: