Add pass for replacing dq-q patterns with rescale #8513
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8513
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 38ac52c with merge base a70c6a3 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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When an int8 op meets an int32 op, the int8 is first dequantized to a float which is then quantized to the desired int8 dtype. This produces a (int8 dq -> q int32) pattern that we can replace with a TOSA.RESCALE since they are approximately mathematically equivalent, differing only in how the rounding is done. This requires a few changes: - Introduce custom rescale op - Create pass to replace the dq-q pattern with the rescale op - Implement node_visitor for rescale op The change makes it possible to mix int8 and int32 quantization, as showcased in the new test_add_i32_tosa_BI test. Signed-off-by: Erik Lundell <erik.lundell@arm.com> Change-Id: Ifd475ade488fbbeb8395ac883986b19f8edfae5a
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zingo
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Feb 17, 2025
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Macos job fail unrelated |
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When an int8 op meets an int32 op, the int8 is first dequantized to a float which is then quantized to the desired int8 dtype.
This produces a (int8 dq -> q int32) pattern that
we can replace with a TOSA.RESCALE since they are approximately mathematically equivalent, differing only in how the rounding is done.
This requires a few changes:
The change makes it possible to mix int8 and int32 quantization, as showcased in the new test_add_i32_tosa_BI test.
This pr is a reupload after revert #8480
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218