Arm backend: Add ComputeConstantOpsAOT pass #9504
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Since the pass can change shapes of ops, the graph needs to be retraced to show this in node.meta["val"]. Signed-off-by: Erik Lundell <[email protected]> Change-Id: Ief24fe9d11384a2d0f64f0d91070eca7b0caf18e
Operators that output tensors based on constant args are pre-computed and added as buffers. - The pass currently supports full, arange, linspace, and eye. - Remove some logic for full now handled by the pass - Rename FuseConstantOpsPass to FuseConstantArgsPass and do minor improvements Signed-off-by: Erik Lundell <[email protected]> Change-Id: I744e2583a9ed011e350cfaa43410902bd9e54292
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/9504
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New FailuresAs of commit bc2162b with merge base 043c7a0 ( NEW FAILURES - The following jobs have failed:
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@digantdesai this PR touched file outside Arm folder. Thanks for the help! |
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Arm backend: Add ComputeConstantOpsAOT pass
Operators that output tensors based on constant args
are pre-computed and added as buffers.
- The pass currently supports full, arange, linspace, and eye.
- Remove some logic for full now handled by the pass
- Rename FuseConstantOpsPass to FuseConstantArgsPass and do minor improvements
Fix retracing in FuseViewCopyTransform
Since the pass can change shapes of ops,
the graph needs to be retraced to show this in node.meta["val"].
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218