concat: treat fully-unconstrained dynamic dim as a wildcard#4924
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concat: treat fully-unconstrained dynamic dim as a wildcard#4924chun-wan wants to merge 1 commit into
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broadcast_with_dims (ONNX Expand) whose target shape is only known at
runtime emits a fully-unconstrained dynamic dim {0, SIZE_MAX} on every
axis. When such a tensor was concatenated with a tensor carrying a real
dynamic range (e.g. a {1, 1000} batch dim), concat::normalize_compute_shape
threw "CONCAT: all input dimensions should match in axis N" at parse time
-- before split_single_dyn_dim / simplify_dyn_ops had a chance to
constant-fold the Expand into a static multibroadcast -- crashing compile
on otherwise-valid dynamic-shape models.
Fix: in the all-dynamic branch of concat, treat {0, SIZE_MAX} as a
wildcard. On non-concat axes it matches any dim and adopts that dim's
constraint; two genuinely-different concrete dynamic dims still throw.
On the concat axis, if any input is unconstrained the summed dim is
emitted as a wildcard rather than overflowing SIZE_MAX. After the program
is specialised the Expand folds to a static multibroadcast and the exact
shape is recovered.
Adds op_shape regression test test_dyn_concat_unconstrained. Reproduced
the original crash and verified the fix end-to-end (Expand-on-dynamic +
concat ONNX model compiles for the ref target); full test_op_shape_test
(512 cases) passes.
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## develop #4924 +/- ##
========================================
Coverage 92.66% 92.66%
========================================
Files 588 588
Lines 30412 30422 +10
========================================
+ Hits 28180 28190 +10
Misses 2232 2232
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broadcast_with_dims (ONNX Expand) whose target shape is only known at runtime emits a fully-unconstrained dynamic dim {0, SIZE_MAX} on every axis. When such a tensor was concatenated with a tensor carrying a real dynamic range (e.g. a {1, 1000} batch dim), concat::normalize_compute_shape threw "CONCAT: all input dimensions should match in axis N" at parse time -- before split_single_dyn_dim / simplify_dyn_ops had a chance to constant-fold the Expand into a static multibroadcast -- crashing compile on otherwise-valid dynamic-shape models.
Fix: in the all-dynamic branch of concat, treat {0, SIZE_MAX} as a wildcard. On non-concat axes it matches any dim and adopts that dim's constraint; two genuinely-different concrete dynamic dims still throw. On the concat axis, if any input is unconstrained the summed dim is emitted as a wildcard rather than overflowing SIZE_MAX. After the program is specialised the Expand folds to a static multibroadcast and the exact shape is recovered.
Adds op_shape regression test test_dyn_concat_unconstrained. Reproduced the original crash and verified the fix end-to-end (Expand-on-dynamic + concat ONNX model compiles for the ref target); full test_op_shape_test (512 cases) passes.
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