Quantize compatible node + activation patterns as one block #7555
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7555
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit b60972b with merge base 08770b7 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Annotate conv1d/conv2d/linear followed by relu/relu6 patterns as one block and fuse the activation into its parent. The activation will then be implicitly done in the tosa.rescale node that will have a -128 zero-point. Change-Id: I5bf1e2c91be21ab842012fbc20d159af7fe2222d
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Annotate conv1d/conv2d/linear followed by relu/relu6 patterns as one block and fuse the activation into its parent.
The activation will then be implicitly done in the
tosa.rescalenode that will have a -128 zero-point.