fix(ir): validate that tile.load / tile.store offset elements are integer scalars by Hzfengsy · Pull Request #2565 · hw-native-sys/pypto

Hzfengsy · 2026-08-30T08:46:45Z

Summary

validate that every element of tile.load / tile.store offsets is a ScalarType with an integer dtype, matching what tensor.slice already enforces for its own offsets
restore the negative-offset and reads-past-the-end proofs, which a malformed offset element had been silently switching off
re-anchor test_nested_list_closure_var on the closure-var resolver, since no operator accepts the nested tuple it builds

Why

Both deducers checked only that the offsets argument is a MakeTuple of the right rank, never what its elements are — even though both op registrations declare offsets as TupleType of ScalarType.

Nothing downstream compensated, by design. IsIntegerScalarExpr treats a non-scalar operand as undecidable rather than false, and its comment already names the op deducers as the enforcement point:

Operators that require stricter scalar-kind validation enforce it in their deducers.

So a malformed element did not merely produce a meaningless op — it disabled the bounds obligations in InferWindowReadValidShape too.

The result was a silent miscompile. A nested-tuple offset reached codegen, where GetExprAsCode reduced each element to whatever its visitor left behind:

t = pl.load(a, [[11, 22], [33, 44]], [64, 64])   # offsets one level too deep

compiled clean, all the way to valid PTO:

%0 = arith.maxsi %c22_index, %c0_index : index
%1 = arith.maxsi %c44_index, %c0_index : index
%a_pview = pto.partition_view %a_view, offsets = [%0, %1], sizes = [%c64_index, %c64_index]

— a load at offsets [22, 44], wrong data, no diagnostic at any layer. A float offset (n / 2 where the author meant n // 2) survived every pass and died in EmitCastToIndex with a message naming neither the operator nor a source location.

Offsets that are provably bad were affected the same way. With plain ints, [100, 100] and [-8, 0] are rejected by tile.load itself; wrapping them in a tuple made both checks pass.

Notes for reviewers

The bar is IsInt(), not IsIndexLike(). tile.slice / tile.assemble require IsIndexLike() (INT64/UINT64/INDEX) for tile-local offsets, but a tensor-coordinate offset of any integer width is legitimate all the way down — EmitCastToIndex exists precisely to arith.index_cast a non-INDEX one at the partition_view site. IsIndexLike() here would reject INT32 offsets the backend is written to handle. This matches tensor.slice, the sibling window-read op.

Origin. #127 introduced this per-element check when it moved shape/offset args to MakeTuple, for tensor.slice / tensor.view / block.view. block.load still had a variadic (row_offset, col_offset, height, width) signature then, so it was out of scope. #154 converted it to the tuple form a week later and copied the As<MakeTuple> and rank checks — but not the element loop.

Test change. test_nested_list_closure_var asserted that a nested list closure var converts recursively to a nested MakeTuple, using tile.load's offsets slot as the carrier. That parser behaviour is unchanged and still correct, but no operator in the registry accepts a nested tuple, so the test could only ever have ridden on the missing check. It now drives ExprEvaluator.try_eval_as_ir directly — the same call parse_name makes for a bare closure-var positional argument — keeping every assertion. The op-call path stays covered by the sibling flat-list test.

Still open, not addressed here. The shapes and valid_shape tuples on these same two ops remain unvalidated: pl.tile.load(t, [0, 0], [64, 64], [[0, 0], [64, 64]]) is accepted and writes the nested tuple straight into TileView.valid_shape, printing as an unparseable pl.TileView(valid_shape=[[...], [...]]). Same bug family; the new helper is directly reusable for it. Left out to keep this change scoped to the reported issue.

Testing

python -m pytest tests/ut/ir/operators/test_tile_ops.py -k TestTileLoadStoreOffsetElements -n "$PYPTO_TEST_JOBS" -v — 7 new cases: tuple and float elements rejected on both ops, INT32 still accepted, bounds checks no longer bypassable, plus one DSL-level case
python -m pytest tests/ut/ tests/lint/ -n "$PYPTO_TEST_JOBS" — 10604 passed, 3 skipped, 3 xfailed
ctest --parallel "$PYPTO_TEST_JOBS" — 1/1 passed
pre-commit run --files src/ir/op/tile_ops/memory.cpp python/pypto/language/op/tile_ops.py tests/ut/ir/operators/test_tile_ops.py tests/ut/language/parser/test_closure_var_resolution.py

…eger scalars Both deducers checked only that the offsets argument is a MakeTuple of the right rank, never what its elements are, even though both op registrations declare offsets as "TupleType of ScalarType". Nothing downstream compensates, by design: IsIntegerScalarExpr treats a non-scalar operand as undecidable rather than false, so a malformed element switched off the negative-offset and reads-past-the-end proofs in InferWindowReadValidShape as well. The comment on that helper already named the op deducers as the enforcement point. A nested-tuple offset therefore reached codegen, where GetExprAsCode reduced each element to whatever its visitor left behind: pl.load(a, [[11, 22], [33, 44]], [64, 64]) compiled cleanly to a load at offsets [22, 44], with no diagnostic at any layer. A float offset (n / 2 rather than n // 2) survived every pass and died in EmitCastToIndex with a message naming neither the operator nor a source location. Validate each element as ScalarType with an integer dtype, on the same terms tensor.slice uses for its own offsets. The bar is IsInt(), not the stricter IsIndexLike() that tile.slice applies to tile-local offsets: a tensor- coordinate offset of any integer width is legitimate all the way down, which is why EmitCastToIndex index_casts a non-INDEX one at the partition_view site. test_nested_list_closure_var asserted that a nested list closure var converts recursively to a nested MakeTuple, and used tile.load's offsets slot as the carrier. That parser behaviour is unchanged and still correct, but no operator in the registry accepts a nested tuple, so the test rode on the missing check. It now drives ExprEvaluator.try_eval_as_ir directly -- the same call parse_name makes for a bare closure-var positional argument -- keeping every assertion.

chatgpt-codex-connector · 2026-08-30T08:46:56Z

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coderabbitai · 2026-08-30T08:47:42Z

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📝 Walkthrough

Walkthrough

Tile load and store operations now require integer scalar offset elements. C++ validation rejects nested tuples and floating-point offsets. Tests cover operator validation, bounds checks, DSL parsing, valid integer offsets, and nested closure evaluation.

Changes

Tile offset validation

Layer / File(s)	Summary
Offset contract enforcement `src/ir/op/tile_ops/memory.cpp`, `python/pypto/language/op/tile_ops.py`	The tile load and store boundaries validate each offset as a non-null integer scalar. The operation documentation describes the same requirement.
Offset validation coverage `tests/ut/ir/operators/test_tile_ops.py`, `tests/ut/language/parser/test_closure_var_resolution.py`	Tests reject nested and floating-point offsets, accept integer offsets, verify bounds checks, validate DSL parsing, and evaluate nested closure offsets directly.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Merge Risk: 🔵 Low · up to 3f41c

The PR now rejects malformed tile offsets before bounds reasoning and code generation while preserving valid integer offsets. It is mergeable with owner awareness for a bounded registry-documentation mismatch and more precise test regexes; no production correctness or security blocker remains.

Poem

I’m a rabbit with offsets aligned,
Integer steps are easy to find.
Nested paths hop out of view,
Floaty steps are vetoed too.
Load and store now check each way,
While tests keep burrows safe today.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 56.52% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 23 functions across 4 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and concisely describes the main change: validating that tile.load and tile.store offset elements are integer scalars.
Description check	✅ Passed	The description directly explains the offset validation change, the restored bounds checks, the test updates, and the verification performed.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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Actionable comments posted: 1

🧹 Nitpick comments (1)

tests/ut/ir/operators/test_tile_ops.py (1)
5116-5116: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Escape literal periods in the five error-match patterns.

The pytest.raises(match=...) patterns treat . as a regex wildcard. Use raw strings with \. so each test requires the exact tile.load or tile.store name.
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In `@tests/ut/ir/operators/test_tile_ops.py` at line 5116, Update the five
pytest.raises match patterns in the tile load/store tests to use raw strings and
escape the literal period in tile.load and tile.store, ensuring regex matching
requires the exact operation name.
Source: Linters/SAST tools

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Inline comments:
In `@src/ir/op/tile_ops/memory.cpp`:
- Line 143: Update the registry descriptions for tile.load and tile.store to
specify tuple elements must be integer scalar types, matching the validation
performed by ValidateOffsetTupleElements. Preserve the existing descriptions and
change only the offset type requirement so generated API documentation no longer
advertises floating-point offsets.

---

Nitpick comments:
In `@tests/ut/ir/operators/test_tile_ops.py`:
- Line 5116: Update the five pytest.raises match patterns in the tile load/store
tests to use raw strings and escape the literal period in tile.load and
tile.store, ensuring regex matching requires the exact operation name.

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📒 Files selected for processing (4)

python/pypto/language/op/tile_ops.py
src/ir/op/tile_ops/memory.cpp
tests/ut/ir/operators/test_tile_ops.py
tests/ut/language/parser/test_closure_var_resolution.py

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…offsets metadata The registry descriptions for both offsets arguments still read "TupleType of ScalarType" after the deducers began rejecting floating-point elements, so registry-derived documentation advertised offsets the operator refuses. Say "TupleType of integer ScalarType" instead, and align the validator's own doc comment, which quotes that wording. The shapes and valid_shape descriptions on the same two ops are left alone: those tuples genuinely are not element-validated yet, so the looser wording still describes what they accept. Also escape the literal period in the five pytest.raises match patterns, so each one requires the exact operator name rather than treating "." as a wildcard.

…nts (#2570) ## Summary - validate that every element of `tile.load`'s `shapes` / `valid_shape` and `tile.store`'s optional `shapes` is a `ScalarType` with an integer dtype, closing the last three slots in the family #2565 started - restore the valid-region-fits and reads-past-the-end proofs, which a malformed extent had been silently switching off - give the DSL's keyword spelling of the same mistake a diagnostic that names it, instead of a bare `Cannot convert <class 'list'>` ## Why #2565 gave the `offsets` tuple of `tile.load` / `tile.store` an element-wise check. The `shapes` and `valid_shape` tuples on the same two ops never got one, even though both op registrations declare them "TupleType of ScalarType" — so the same silent miscompile stayed reachable through a different argument. Nothing downstream compensates, by design. `InferWindowReadValidShape`'s obligations are defined only over integer scalars, so a non-scalar element makes them *undecidable* rather than false. The checks then pass, and codegen lowers whatever the element reduces to — its last leaf, for a nested tuple. A realistic way to write it: reading `valid_shape` as per-dim `[start, extent]` pairs, mirroring the `offsets` / `shapes` pair right before it. ```python @pl.function(type=pl.FunctionType.InCore) def kernel(self, a: pl.Tensor[[128, 128], pl.FP32], out: pl.Tensor[[128, 128], pl.FP32]) -> pl.Tensor[[128, 128], pl.FP32]: # meant: valid_shape=[200, 64] — already too big for a 128-row source t = pl.load(a, [0, 0], [64, 64], [[200, 200], [64, 64]]) return pl.store(t, [0, 0], out) ``` With plain ints, `valid_shape=[200, 64]` is rejected by `tile.load` itself: ``` tile.load valid_shape 0 is 200, which exceeds the window extent 64; a valid region cannot be larger than the shape that holds it ``` With the extra bracket level it compiled clean, all the way to valid PTO: ```mlir %t = pto.alloc_tile addr = %c0_i64 valid_row = %c200_index valid_col = %c64_index : !pto.tile_buf<loc=vec, dtype=f32, rows=64, cols=64, ...> // 200 valid rows in a 64-row tile %a_pview = pto.partition_view %a_view, offsets = [%c0, %c0], sizes = [%c200_index, %c64_index] pto.tload ins(%a_pview) outs(%t) // reads 200 rows of a 128-row tensor pto.tstore ins(%t) outs(%out_pview) // writes 200 rows into a 128-row output ``` — an out-of-bounds GM read *and* an out-of-bounds store, no diagnostic at any layer. The benign case is arguably worse: `valid_shape=[[0, 40], [0, 56]]` emits `valid_row = 40, valid_col = 56`, which looks correct and quietly confirms the wrong mental model. The other two slots fail less catastrophically but still badly. A nested `shapes` lands in `TileType.shape_` and dies 20 passes later in `InitMemRef` with `InternalError: requires static shape for variable 't__ssa_v0' ... Fix the upstream op` — naming neither `tile.load` nor the nested tuple. `tile.store`'s optional `shapes` is accepted and silently ignored. ## Notes for reviewers **The bar stays `IsInt()`**, matching what `tensor.slice` enforces for its own `shape` tuple. Non-INDEX integer extents (INT32) and symbolic dynamic extents remain legal — both are covered by a test, since a stricter bar would break ordinary dynamic-shape kernels. **Only the positional spelling reached the deducer.** The DSL parser turns a list literal into a `MakeTuple` recursively; `_wrap_arg` unwraps exactly one level, so inner `MakeTuple`s arrive as `ir.Expr` and sail through `_to_make_tuple`. Spelled as a kwarg (`valid_shape=[[...]]`) the list never becomes IR at all — it died in `_normalize_expr` with `Cannot convert <class 'list'> to IR expression`, an op-agnostic `TypeError` naming neither the argument nor the mistake. Two spellings of one mistake, two unrelated behaviours. This adds a nested-sequence branch at that shared conversion point, so both now report something actionable. Nothing in-tree matched on the old message. **Helper rename.** `ValidateOffsetTupleElements` becomes `ValidateIntScalarTupleElements(tuple, op_name, role)`; `role` names the operand with the spelling the DSL exposes (`offset` / `shapes` / `valid_shape`) so the message points at the argument the author wrote. Existing `offset` messages are unchanged. **DSL tests use an `Any`-annotated closure var**, as the offsets tests do — pyright rejects a nested list literal statically, so the value's shape has to be knowable only at parse time for the test to exercise what a checker cannot catch. ## Testing - `python -m pytest tests/ut/ir/operators/test_tile_ops.py -k "TileLoadStoreShapeElements or TileLoadStoreOffsetElements" -n "$PYPTO_TEST_JOBS" -v` — 17 passed (10 new) - `python -m pytest tests/ut/ tests/lint/ -n "$PYPTO_TEST_JOBS"` — 10787 passed, 3 skipped, 1 xfailed - `python -m pytest tests/st/codegen -n "$PYPTO_TEST_JOBS"` — 60 passed - `ctest --parallel "$PYPTO_TEST_JOBS"` — 1/1 passed - `pre-commit run --files src/ir/op/tile_ops/memory.cpp python/pypto/ir/utils.py python/pypto/ir/op/tile_ops.py python/pypto/language/op/tile_ops.py tests/ut/ir/operators/test_tile_ops.py`

## Summary `BlockNzTensorViews` now maps a *symbolic* trailing slice offset into blocked NZ coordinates, so an NZ weight can be sliced by a loop-derived index. It previously required `ConstInt` on both trailing offsets, which left the grouped-matmul weight path that motivated GM-side NZ (hw-native-sys#2533) unable to compile at all. Closes hw-native-sys#2548. ## What a symbolic offset actually looks like A slice offset reaches the pass as the SSA name it was bound to, never as the arithmetic that produced it, and the motivating kernel carries two *different* symbolic shapes — one per axis: | Offset | Form | Proof available | | --- | --- | --- | | `n0__ssa_v0` (row axis, `/16`) | `Var` defined by `AssignStmt: nb * 256` | SSA definition chain, then a structural rewrite | | `k0__idx_v0` (C0 axis, `/c0`) | `ForStmt` loop variable of `pl.pipeline(512, 4096, 512)` | `start` and `step` are both multiples | Handling only the first leaves the kernel rejected on the other axis, so both are implemented. ## Changes - `tensor_view_semantics.h`: new `DivideIndexExactly`, returning the exact quotient `expr / divisor` or `nullptr`. Arms: `ConstInt`; `Mul` (one factor divides, `(a*b)/d = (a/d)*b`); `Add` / `Sub` (both sides divide, `(a±b)/d = a/d ± b/d`); `Var` (a known multiple divides to `FloorDiv`, otherwise recurse into its SSA definition). `NzOffsetFacts` carries the two bindings the walk needs, and a default-constructed one reproduces the previous constant-only behaviour. - `block_nz_tensor_views_pass.cpp`: new `NzOffsetFactStore` collects a function's `AssignStmt` definitions and constant-bounded loop variables in one read-only walk, so the rewrite stays a constant-time lookup and the pass stays O(N). The walk carries a fixed node-visit budget, because following SSA definitions through a diamond (`x = y + y`) could otherwise re-enter exponentially. Exactness is the contract: the quotient must equal `expr / divisor` for *every* runtime value the offset can take, so a caller may substitute it for a blocked coordinate with no range check. Anything unproven is rejected with a diagnostic naming the provable forms — a guessed coordinate reads the wrong fractal with no diagnostic anywhere downstream. ## Two deliberate limits A loop variable divides to a `FloorDiv` rather than a folded product because nothing in the IR names its trip count; that division is exact precisely because divisibility was proven first. And `As<Var>` excludes `IterArg` (per `ir-kind-traits`): its value changes every iteration, so neither its initial value nor any binding recorded for it describes the value a given use sees. Rebuilt nodes go through the promoting `MakeMul` / `MakeAdd` / `MakeSub` rather than `MakeIndexMul`. A `tile.load` offset only has to be an *integer* scalar (hw-native-sys#2565), so forcing INDEX on a node whose operands are INT32 would leave the declared dtype disagreeing with them and emit ill-typed arithmetic. ## Tests `test_rejects_dynamic_slice_offset` pinned the limitation this change removes, and is replaced by: - `test_maps_an_spmd_derived_slice_offset` — `n0 = nb * 256` becomes `nb * 16`, which also pins that the rewrite follows the definition chain - `test_maps_a_loop_variable_slice_offset` — a `pl.pipeline` index becomes `k0 // 32` - `test_codegen_emits_the_divided_offset_as_one_multiply` — the blocked coordinate reaches `pto.partition_view` as a single `arith.muli` - `test_rejects_a_slice_offset_whose_alignment_cannot_be_proven` — `nb * 8` on the 16-row axis has no exact quotient - `test_rejects_a_loop_variable_whose_step_breaks_alignment` — start aligned, step not; proving from the start alone would silently mis-address every later iteration Annotating the file's helpers made previously unchecked attribute access checkable, so `_const` / `_elements` narrow it rather than dropping the annotations. ## Validation - `cmake --build build --parallel 32`: exit 0 - `pytest tests/ut/ir tests/ut/codegen tests/ut/jit -n 16 -q`: 8280 passed, 7 skipped, 1 xfailed - `pytest tests/ut --ignore=tests/ut/runtime -n 16 -q`: 10092 passed. The single failure, `test_symlinked_import_path_still_names_the_caller`, is an artefact of this checkout's editable install (a re-exec'd subprocess is still served by the meta-path finder) and reproduces without this change. - `tests/lint/` gates (12 scripts), `clang-format`, `clang-tidy`, `ruff check`, `ruff format --check` and `pyright`: all clean. `cpplint` and `markdownlint-cli2` are not installed in this environment, so CI owns those two hooks. - The hw-native-sys#2533 grouped-matmul kernel now compiles through the full Default pipeline and codegen, emitting `arith.muli %nb, %c16` for the row fractal and `arith.divsi %k0, %c32` for the C0 block. ## Still not reachable on device PTOAS infers a `make_tensor_view`'s layout structurally and overrides the explicit `nz` annotation (hw-native-sys/PTOAS#527). This closes the frontend gap hw-native-sys#2548 describes; end-to-end NZ still waits on that issue.

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lyfne123 approved these changes Aug 31, 2026

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lyfne123 merged commit f42cbe5 into hw-native-sys:main Aug 31, 2026
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Hzfengsy mentioned this pull request Aug 31, 2026

fix(ir): validate tile.load / tile.store shapes and valid_shape elements #2570

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lyfne123 mentioned this pull request Aug 31, 2026

feat(ir): map a symbolic slice offset into blocked NZ coordinates #2580

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fix(ir): validate that tile.load / tile.store offset elements are integer scalars - #2565

fix(ir): validate that tile.load / tile.store offset elements are integer scalars#2565
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Hzfengsy:claude/tile-load-offset-validation-2dfa93

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Hzfengsy commented Aug 30, 2026

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