refactor delta matrix #19
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WalkthroughThis pull request introduces significant changes to the matrix handling in the project, primarily focusing on the Changes
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Actionable comments posted: 0
🧹 Nitpick comments (7)
src/graph/matrix/delta_matrix_iter.rs (1)
42-49: Attach method mirrors constructor logic.
attach_rangematches the logic innew_range. This is consistent, but be mindful of possible duplication. If the constructor evolves, ensureattach_rangeremains in sync or use a helper to reduce duplication.src/graph/matrix/delta_matrix.rs (4)
81-125: Parametric methodsm,dp, anddm.
Using a boolean parameter is straightforward, but it might be more expressive to replacetranspose: boolwith an enum if the code is extended. No major issues now.
307-315:clearchecks transposition in debug as well.
Again,debug_assert!(self.transpose.is_none())ensures we do not callclear()on an actively transposed matrix. Evaluate whether you need a generalized solution for clearing both.
384-429:element_wise_adduses exported matrix for safety.
Combiningexport(desc == GrB_DESC_T1)with partial usage from the stable matrix is a nice approach. Just ensureexportis not too costly for repeated usage.
431-456: Transposition insideexport
m.transpose(...)is used ifdelta_minus.nvals() > 0. The repeated calls tom.transpose(...)might add overhead. Evaluate if we can unify them, but overall logic is correct.src/graph/matrix/ffi.rs (2)
Line range hint
68-72:Delta_Matrix_resize()
ReturningGrB_SUCCESSunconditionally is standard, but consider error handling if resizing can fail in future.
198-203:Delta_Matrix_export
It always exports withtranspose=false. Possibly add a parameter for transposed exports if it’s part of the design.
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📒 Files selected for processing (4)
Cargo.toml(1 hunks)src/graph/matrix/delta_matrix.rs(1 hunks)src/graph/matrix/delta_matrix_iter.rs(5 hunks)src/graph/matrix/ffi.rs(11 hunks)
🔇 Additional comments (34)
src/graph/matrix/delta_matrix_iter.rs (5)
6-6: Imports look appropriate.
No issues spotted. The dependency on GraphBLAS::GrB_Index is necessary for typed row/column operations.
20-32: Enhance error reporting in new_range.
The new new_range constructor with (m, min_row, max_row, transpose) cleanly initializes three SparseMatrixIter structures. However, if transpose is true but m.transpose is None, future downstream calls might fail. Consider confirming the presence of a transposed matrix component or handle the scenario more explicitly.
62-62: Potential mismatch in is_attached check.
is_attached only checks m(false). If the iterator was attached with transpose = true, this check might not fully reflect the current .matrix reference. Consider verifying consistency for both transposed and non-transposed states.
156-156: Unit test coverage is good.
test_attach confirms that the iterator is attached and detached properly. Looks good.
177-177: Test next_bool usage.
new_range(&a, 0, u64::MAX, false) is valid, ensuring we iterate from row 0 up to the matrix’s row limit. The checks for Ok(None) confirm iteration exhaustion.
src/graph/matrix/delta_matrix.rs (13)
6-24: Introduction of DeltaMatrixBase struct.
Splitting out matrix, delta_plus, and delta_minus into their own struct keeps them neatly grouped. This clarifies the main DeltaMatrix by separating stable matrix data from wrapping logic. This is a good design improvement.
26-36: Switch from custom mutex to parking_lot::Mutex.
The use of Arc<Mutex<()>> from parking_lot can provide performance benefits and simpler usage. Great improvement for concurrency.
38-79: Validate construction logic for transposed variant.
In DeltaMatrix::new, if transpose is true, the code initializes a second DeltaMatrixBase. The custom logic sets the internal matrices to different GrB types in lines 56-59 for matrix: SparseMatrix::new(GrB_BOOL, ncols, nrows). Confirm that storing GrB_BOOL is intentional if the base type was originally something else (e.g., ty).
144-159: Resizing logic for both main and transposed matrices.
The code properly resizes all underlying matrices in tandem. Good approach ensuring consistent dimensions.
161-180: Potential concurrency concern in remove_element.
Marking deletions in delta_minus sets the dirty flag, but be certain that concurrent readers do not see partial states. The Arc<Mutex<()>> is presumably acquired in synchronize. Confirm that all external calls properly lock as well.
182-203: set_element_bool logic flows well.
The move from removing an entry in delta_minus to tracking the item in delta_plus is consistent. Keep an eye on concurrency as well.
205-234: set_element_u64 partial updates.
Ensures that if the element was previously marked as deleted, it resets that deletion. The transposed matrix is updated with a boolean representation. Double-check that storing true in the transposed matrix is the intended design.
272-305: remove_elements is debug_asserting transpose.is_none().
Make sure the assert is valid in production or consider a runtime check if partial transposition usage is needed.
329-382: mxm method: partial coverage of delta_plus/delta_minus.
It’s good that you factor in delta_minus for the mask and delta_plus for accum. Watch out for possible memory overhead if delta_minus is huge.
458-483: wait(force_sync) exposes a robust two-tier approach.
When force_sync is true, we skip thresholds and flush changes. This method is well-structured.
485-511: sync, sync_deletions, sync_additions
The code is consistent. sync_deletions uses matrix.transpose(...) to remove elements from the stable matrix. Confirm that partial row/col updates in the transposed matrix are correct.
561-580: synchronize uses a global lock approach
The block at line 570-572 ensures proper locking. Validate that other matrix calls in multi-threaded contexts also acquire the same lock as needed.
[approve]
583-1015: Tests are extensive and appear thorough.
They cover transposition, removal, concurrency in a basic sense, copy, and matrix operations. Great coverage.
src/graph/matrix/ffi.rs (15)
11-11: GrB_Descriptor import is correct.
Including GrB_Descriptor helps unify semiring and descriptor usage.
15-17: Delta_Matrix_new transition.
Accepting *mut *mut DeltaMatrix instead of _Matrix is a cleaner approach. Good improvement in type safety for FFI usage.
28-33: Delta_Matrix_M returns raw GrB matrix.
Exposing an internal GrB reference is typical in FFI. Watch for potential concurrent modifications outside.
99-106: Return GrB_NO_VALUE when absent.
Delta_Matrix_extractElement_BOOL is consistent with GraphBLAS semantics. Good job preserving that.
119-123: Same pattern for UINT64.
Returning GrB_NO_VALUE upon missing elements is uniform.
155-163: Delta_mxm call aligns with revised signature.
No immediate issues noted. Semiring is passed through as expected.
168-176: Delta_eWiseAdd
This is consistent with the direct call into element_wise_add.
209-212: Delta_Matrix_pending
This is a simple accessor. Matches well with the internal pending() method.
228-231: Delta_Matrix_synchronize()
Exposed to FFI. No immediate concerns. Proper usage of the underlying API.
243-248: Delta_MatrixTupleIter_attach
Now calls attach_range with 0 and u64::MAX. This is consistent with the changes in delta_matrix_iter.rs.
253-261: Delta_MatrixTupleIter_AttachRange with transpose
Aligns with the updated attach_range() signature.
266-267: Delta_MatrixTupleIter_detach
Simple pass-through.
273-276: Delta_MatrixTupleIter_is_attached
Directly calls is_attached. FFI bridging is correct.
Line range hint 282-306: Delta_MatrixTupleIter_next_BOOL
Returns GxB_EXHAUSTED if no more entries, GrB_NULL_POINTER if error, else GrB_SUCCESS. Nicely maps to internal logic.
Line range hint 308-334: Delta_MatrixTupleIter_next_UINT64
Similar approach as _next_BOOL. This consistency is good.
Cargo.toml (1)
14-14: parking_lot dependency.
Adding parking_lot = "0.12.3" is a good choice for improved mutexes. Keep an eye on any version conflicts or needed features.
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Actionable comments posted: 0
🧹 Nitpick comments (4)
src/graph/matrix/delta_matrix.rs (4)
81-125: Consider reducing code duplication in matrix access methods.The matrix access methods (m, dp, dm) share similar conditional logic for handling transposition. Consider extracting the common pattern into a helper method.
+impl DeltaMatrixBase { + fn get_matrix<T>(&self, field_selector: impl Fn(&DeltaMatrixBase) -> &T) -> &T { + field_selector(self) + } +} impl DeltaMatrix { + fn get_base(&self, transpose: bool) -> &DeltaMatrixBase { + if transpose { + self.transpose.as_ref().unwrap() + } else { + &self.matrix + } + } pub fn m(&self, transpose: bool) -> &SparseMatrix { - if transpose { - &self.transpose.as_ref().unwrap().matrix - } else { - &self.matrix.matrix - } + &self.get_base(transpose).matrix } pub fn dp(&self, transpose: bool) -> &SparseMatrix { - if transpose { - &self.transpose.as_ref().unwrap().delta_plus - } else { - &self.matrix.delta_plus - } + &self.get_base(transpose).delta_plus } pub fn dm(&self, transpose: bool) -> &SparseMatrix { - if transpose { - &self.transpose.as_ref().unwrap().delta_minus - } else { - &self.matrix.delta_minus - } + &self.get_base(transpose).delta_minus }
Line range hint
163-232: Consider adding error handling for matrix operations.The element manipulation methods (remove_element, set_element_bool, set_element_u64) could benefit from error handling for:
- Index out of bounds
- Transposed matrix access when transpose is None
+#[derive(Debug)] +pub enum DeltaMatrixError { + IndexOutOfBounds { index: u64, bound: u64 }, + TransposeNotAvailable, +} impl DeltaMatrix { pub fn remove_element(&mut self, i: u64, j: u64) -> Result<(), DeltaMatrixError> { + if i >= self.nrows() || j >= self.ncols() { + return Err(DeltaMatrixError::IndexOutOfBounds { + index: if i >= self.nrows() { i } else { j }, + bound: if i >= self.nrows() { self.nrows() } else { self.ncols() }, + }); + } // Rest of the implementation... }
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465-581: Add detailed documentation for synchronization methods.The synchronization methods (wait, sync, sync_deletions, sync_additions) would benefit from more detailed documentation explaining:
- The synchronization strategy
- The role of delta_max_pending_changes
- The relationship between original and transposed matrices
Add documentation like this:
/// Synchronizes pending changes between the original and transposed matrices. /// /// # Arguments /// * `force_sync` - When true, immediately applies all pending changes. /// * `delta_max_pending_changes` - Maximum number of pending changes before forcing sync. /// /// # Implementation Details /// 1. For deletions: Applies delta_minus to the main matrix /// 2. For additions: Applies delta_plus to the main matrix /// 3. Maintains consistency between original and transposed matrices fn sync(&mut self, force_sync: bool, delta_max_pending_changes: u64)
Line range hint
583-1014: Consider adding edge case tests.While the test coverage is good, consider adding tests for:
- Matrix operations with zero-sized dimensions
- Operations at matrix boundaries
- Error cases when transpose is None but transpose operations are attempted
Example test:
#[test] fn test_edge_cases() { test_init(); // Test zero-sized matrix let a = DeltaMatrix::new(unsafe { GrB_BOOL }, 0, 0, true); assert_eq!(a.nrows(), 0); assert_eq!(a.ncols(), 0); // Test operations at boundaries let mut a = DeltaMatrix::new(unsafe { GrB_BOOL }, 1, 1, true); a.set_element_bool(0, 0); assert_eq!(a.extract_element_bool(0, 0), Some(true)); }
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📒 Files selected for processing (2)
src/graph/matrix/delta_matrix.rs(32 hunks)src/graph/matrix/delta_matrix_iter.rs(4 hunks)
🔇 Additional comments (4)
src/graph/matrix/delta_matrix_iter.rs (3)
20-32: LGTM: Constructor changes align with DeltaMatrix refactoring.
The renamed constructor with additional parameters properly handles matrix transposition and range initialization.
37-49: LGTM: attach_range method maintains consistency with constructor.
The method properly handles matrix transposition and range initialization, following the same pattern as the constructor.
Line range hint 57-62: LGTM: Consistent identity comparison in is_attached.
The method correctly uses pointer comparison on the non-transposed matrix, ensuring consistent behavior regardless of transposition state.
src/graph/matrix/delta_matrix.rs (1)
7-8: LGTM: Improved thread safety and code organization.
Good improvements:
- Using parking_lot::Mutex for better performance
- Encapsulating matrix components in DeltaMatrixBase
- Using Arc for thread-safe shared ownership
Also applies to: 20-35
Resolve #20
Summary by CodeRabbit
New Features
DeltaMatrixandDeltaMatrixIterstructures, allowing for transposed matrix handling and controlled initialization.Bug Fixes
Documentation