Refactor QAT into its own module #555
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/555
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit cf7f651 with merge base ec317fc ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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msaroufim
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Jul 30, 2024
test/quantization/test_qat.py
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| @unittest.skipIf(TORCH_VERSION_AFTER_2_5, "int4 doesn't work for 2.5+ right now") | ||
| def test_qat_4w_quantizer(self): | ||
| from torchao.quantization.prototype.qat import Int4WeightOnlyQATQuantizer | ||
| from torchao.quantization.prototype.qat.api import Int4WeightOnlyQATQuantizer |
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This renaming seems worse and I don't believe you need it since Int4WeightOnlyQATQuantizer is part of qat/__init__.py
jerryzh168
approved these changes
Jul 30, 2024
Summary: Refactor QAT into its own module so future QAT features can live under the same folder without making qat.py longer, and a separate QAT README can be added in the future. Test Plan: python test/quantization/test_qat.py
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Summary: Refactor QAT into its own module so future QAT features can live under the same folder without making qat.py longer, and a separate QAT README can be added in the future.
Test Plan:
python test/quantization/test_qat.py