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Arm backend: Move TOSA operators to dialect #13408
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Signed-off-by: Per Åstrand <[email protected]> Change-Id: I2409cbbf1e96f3c4acc5502fe8c49e6a163a3fe3
Signed-off-by: Per Åstrand <[email protected]> Change-Id: I9e2b03cfafba03decc364034ef3d8c06b73b93ae
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13408
Note: Links to docs will display an error until the docs builds have been completed. ❌ 10 New Failures, 40 Unrelated FailuresAs of commit 939d094 with merge base 30a6f5e ( NEW FAILURES - The following jobs have failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@register_tosa_op( |
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Nit for
def register_tosa_op( |
@register_tosa_op( | |
@register_fake_tosa_op( |
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Love this. I wanted to do this for xnnpack (i.e. a backend dialect) for at least two years now 😅
Summary
Move rescale, table and transpose TOSA operators to new implementation.
Test plan
Tested through existing CI unit tests.
cc @digantdesai @freddan80 @zingo @oscarandersson8218