[MLIR] Masked Unary Ops - #23119
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Path: .coderabbit.yaml Review profile: CHILL Plan: Enterprise Run ID: 📒 Files selected for processing (3)
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Included review availability: Your plan provides up to 12 included reviews per hour; 11 remain after this review. 📝 SummarySummary by CodeRabbit
WalkthroughThe change adds callable annotations to operation registries and adds masked typing and MLIR lowering for unary operations, truth conversion, logical negation, absolute value, and numeric casts. Tests cover validity propagation and integer truthiness edge cases. ChangesMasked operation support
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: ⚪ Minimal · up to This change adds masked unary operation support with validity-preservation and truthiness coverage. No concrete current-head merge-blocking risk remains. 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (1 warning, 1 inconclusive)
✅ Passed checks (3 passed)
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🧪 Generate unit tests (beta)
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In `@python/cudf/cudf/core/udf/mlir_backend/masked_lowering.py`:
- Line 435: Update the masked boolean lowering around payload_as_bool so integer
payloads are compared against zero with arith.cmpi ne before any conversion to
i1, preserving Python truthiness for positive and negative even values. Keep the
existing conversion path for non-integer payloads, and extend
test_masked_bool_truth with positive and negative even-value cases.
In `@python/cudf/cudf/core/udf/mlir_backend/masked_typing.py`:
- Line 303: Handle operator.not_ as plain boolean negation rather than a masked
unary operation: exclude it from the generic unary typing and lowering loops,
then add dedicated lowering that computes not (m.valid and bool(m.value)).
Update masked_typing.py:303-303 and masked_lowering.py:512-512, and add valid
and invalid regressions covering direct operator.not_ calls and the not m
syntax.
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python/cudf/cudf/core/udf/_ops.pypython/cudf/cudf/core/udf/mlir_backend/masked_lowering.pypython/cudf/cudf/core/udf/mlir_backend/masked_typing.pypython/cudf/cudf/tests/private_objects/mlir_backend/test_masked_lowering.py
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A few non-blocking questions but LGTM
Adds unary operator typing/lowering and scalar coercions over
numeric/boolean MaskedType values:
* unary ops (-x, math.sin(x), etc.) -> Masked(result), validity carried;
delegate to the registered scalar lowering
* operator.invert (~x) on integer payloads via arith.xori(x, -1)
* abs(m) -> Masked(result)
* bool(m) / truth -> m.valid and bool(m.value)
* int(m) -> Masked(int64); float(m) -> Masked(float64)
Tests: +21 kernel tests (sign, invert, math.* delegation, abs, truth
across valid/invalid/falsy, bool-in-if, int/float coercion).
Apply recurring feedback from PRs #22884/#22885/#22886 to the unary-op code: add type annotations to the new typing templates and lowering functions, convert leading comments into class/function docstrings (and fill the TODO docstring stubs), and drop the redundant ``ref`` parameter from the unary tests so assertions compute the expected value via the op itself. Annotate the shared op lists in _ops.py so the newly annotated factory signatures type-check.
convert(float -> i1) lowers via arith.fptoui, which truncates instead of testing truthiness, so bool(Masked(1.0)) came out False. Take a dedicated float path computing (payload != 0) via arith.cmpf UNE, which also yields the Python-correct bool(nan) is True. Add float-payload truth tests.
Per review feedback, sweep valid=True/False on the masked unary tests (neg/pos, invert, math, abs, float/int cast) and assert the result validity tracks the operand, rather than hard-coding a single mask value. Extend the invert and math kernels to emit the validity bit so it can be checked.
Two correctness issues from review: - bool(Masked(int)) went through convert(payload -> i1), which is arith.trunci and keeps only the low bit, so even values like Masked(2) tested as False. Compare against zero with arith.cmpi ne at full width instead (mirroring the existing float path). Factor the shared truth logic into _masked_truth_value. - operator.not_ was in the generic unary loops, producing a Masked(bool) that preserved validity; but "not m" must be plain logical negation, so an invalid (falsy) operand yields True, not an invalid masked value. Exclude not_ from the generic typing/lowering loops, type it as a plain boolean, and lower it as not (m.valid and bool(m.value)). Add even-value truth cases and valid/invalid regressions for both "not m" and operator.not_.
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Introduces unary operations via the
numba-cuda-mlirbackend, similar to #22886.