Arm backend: Improve permute/view fusing#21055
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Adds transpose counting to pixel-shuffle tests including a mixed precision case with decomposed Q/DQ nodes which the previous permute propagation did not handle. This is fixed by adding support for propagating views and permutes over across forks in the graph, as long as it can be proven that the branches will eventually converge. Also adds support for where to fuse_identiacal_input_transforms Signed-off-by: Adrian Lundell <adrian.lundell@arm.com> Change-Id: If66ff26d8020cdeab9ea88bc87a687a63a57dda0
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21055
Note: Links to docs will display an error until the docs builds have been completed. ❌ 3 New Failures, 1 Cancelled Job, 1 Unrelated FailureAs of commit 9526704 with merge base a19d1ba ( NEW FAILURES - The following jobs have failed:
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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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| lambda arg: arg.meta["val"] if isinstance(arg, torch.fx.Node) else arg, | ||
| ) | ||
| node.meta["val"] = cast(Any, node.target)(*args, **kwargs) | ||
| except Exception: |
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Is there any way to narrow this to expected Exception classes?
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Makes view/permutes always split to all branches of a node with multiple outputs for downward propagation. Note that this will never increase the number of permutes/views in the graph, since any non-fused permutes/views will propagate back and be fused together again by the upward propagation pass.
Adds support for where operator to fuse_identical_input_transforms
Replaces _would_strand_layout_op_on_wider_elements with MoveDataMovementOpsToSmallerDtypePass to allow ops to
propagate more freely during the fusing phase
Adds tosa ops to MatchArgsPass since it is run after some ops have been rewritten to TOSA.
Generalizes refresh_permute_view_meta into refresh_node_meta which works for any operators and uses that.
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218 @mansnils @Sebastian-Larsson @robell @rascani