add learnable_fake_quantize in pt2e#3135
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jerryzh168
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Oct 9, 2025
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can you correct the name to fake_quantizer?
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@jerryzh168
I'm trying to be consistent with FakeQuantize() class at: https://github.com/pytorch/ao/blob/main/torchao/quantization/pt2e/fake_quantize.py.
I'm ok to change the file name: learnable_fake_quantize.py to learnable_fake_quantizer.py and the class name from LearnableFakeQuantize() to LearnableFakeQuantizer() if that is what you meant.
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Yeah this is for pt2e flow, so I feel the name FakeQuantize is more consistent with the other classes?
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FakeQuantize is the wrong name I think since it's a verb not noun, it's not consistent with Observer which is a noun. We can correct, and deprecate FakeQuantize itself as we add new things.
But it's OK to do this separately as well
navsud
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Summary: Learnable Fake Quantize is a popular technique used especially for low-precision QAT. This was available in fx quantization at https://github.com/pytorch/pytorch/blob/main/torch/ao/quantization/_learnable_fake_quantize.py#L10?, but not in pt2e quantization flow. This change adds learnable fake quantize in pt2e, with some changes, especially related to how channel wise quantization works. Differential Revision: D83542550
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navsud
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Summary: Learnable Fake Quantize is a popular technique used especially for low-precision QAT. This was available in fx quantization at https://github.com/pytorch/pytorch/blob/main/torch/ao/quantization/_learnable_fake_quantize.py#L10?, but not in pt2e quantization flow. This change adds learnable fake quantize in pt2e, with some changes, especially related to how channel wise quantization works. Differential Revision: D83542550
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andrewor14
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Yeah this is for pt2e flow, so I feel the name FakeQuantize is more consistent with the other classes?
navsud
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Summary: Learnable Fake Quantize is a popular technique used especially for low-precision QAT. This was available in fx quantization at https://github.com/pytorch/pytorch/blob/main/torch/ao/quantization/_learnable_fake_quantize.py#L10?, but not in pt2e quantization flow. This change adds learnable fake quantize in pt2e, with some changes, especially related to how channel wise quantization works. Reviewed By: andrewor14 Differential Revision: D83542550
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Summary: Learnable Fake Quantize is a popular technique used especially for low-precision QAT. This was available in fx quantization at https://github.com/pytorch/pytorch/blob/main/torch/ao/quantization/_learnable_fake_quantize.py#L10?, but not in pt2e quantization flow. This change adds learnable fake quantize in pt2e, with some changes, especially related to how channel wise quantization works. Reviewed By: andrewor14 Differential Revision: D83542550
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dd004b2
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navsud
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Oct 13, 2025
Summary: Earlier version (pytorch#3135) got reverted because of broken OSS CI tests. Retrying it. Differential Revision: D84522318
namgyu-youn
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Nov 21, 2025
Differential Revision: D83542550 Pull Request resolved: pytorch#3135
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Summary: Learnable Fake Quantize is a popular technique used especially for low-precision QAT. This was available in fx quantization at https://github.com/pytorch/pytorch/blob/main/torch/ao/quantization/_learnable_fake_quantize.py#L10?, but not in pt2e quantization flow. This change adds learnable fake quantize in pt2e, with some changes, especially related to how channel wise quantization works.
Differential Revision: D83542550