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Add x86InductorQuantizer Performance Number #2617

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Merged
merged 2 commits into from
Oct 30, 2023
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Add x86InductorQuantizer Performance Number #2617

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Add x86InductorQuantizer Performance Number
leslie-fang-intel Oct 24, 2023
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Merge branch 'main' into leslie/add_x86InductorQuantizer_Performance_…
svekars Oct 30, 2023
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4 changes: 4 additions & 0 deletions prototype_source/pt2e_quant_ptq_x86_inductor.rst
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Expand Up @@ -180,6 +180,10 @@ For example:

TORCHINDUCTOR_FREEZING=1 python example_x86inductorquantizer_pytorch_2_1.py

With PyTorch 2.1 release, all CNN models from TorchBench test suite have been measured and proven effective comparing with Inductor FP32 inference path. Please refer
to `this document <https://dev-discuss.pytorch.org/t/torchinductor-update-6-cpu-backend-performance-update-and-new-features-in-pytorch-2-1/1514#int8-inference-with-post-training-static-quantization-3>`_
for detail benchmark number.

4. Conclusion
---------------

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