Arm backend: Add support for BN fusing during QAT #10967
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Makes it possible to annotate patterns with more than two operators. This allows us to annotate patterns conv+bn, conv+bn+relu to be able to fold away BN after training in QAT. Also adds support for QAT in Tester class. Signed-off-by: Oscar Andersson <[email protected]> Change-Id: Ia3bd6707ec4436ecbd54bae0c749f2f7bb361564
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10967
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit b98757b with merge base b73f9d5 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Rebased after some Arm test fixes |
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Makes it possible to annotate patterns with more than two operators. This allows us to annotate patterns: conv -> bn and conv -> bn -> relu to be able to fold away BN after training in QAT. Also adds support for QAT in Tester class.
cc @digantdesai @freddan80 @per @zingo