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[reland] Refactor quant_llm to work with affine quantized tensor (#696) #772
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/772
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit a74fa26 with merge base 09a5e54 (): This comment was automatically generated by Dr. CI and updates every 15 minutes. |
…orch#696) Summary: We want to add quant_llm to affine quantized tensor as a general fp2-fp7 dtype, before that we need to refactor the current implementation to work with AffineQuantizedTensor first Test Plan: python test/prototype/test_quant_llm.py Reviewers: Subscribers: Tasks: Tags:
the problem is the previous error in CI does not really appear here, maybe we should do a forward fix. cc @msaroufim @gau-nernst |
update: moved the import for quant_llm op, verified locally that "import torchao" works |
* move gguf tests to script * execute advanced instructions
Summary:
We want to add quant_llm to affine quantized tensor as a general fp2-fp7 dtype, before that we need to refactor the current implementation to work with AffineQuantizedTensor first
Test Plan:
python test/prototype/test_quant_llm.py
Reviewers:
Subscribers:
Tasks:
Tags: