[BugFix] Fix a bug in swizzle2D template by adding a default parameter #44
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…nd streamline parser.py for better readability
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WalkthroughAdded default template parameter Changes
Sequence Diagram(s)(omitted — changes do not introduce a new multi-component control flow requiring a sequence diagram) Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
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src/tl_templates/cuda/threadblock_swizzle.htilelang/language/overrides/parser.py
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tilelang/language/overrides/parser.py (2)
tilelang/language/parser/parser.py (2)
bind_for_value(78-111)bind_assign_value(114-160)tilelang/language/tir/ir.py (1)
serial(25-66)
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🔇 Additional comments (3)
tilelang/language/overrides/parser.py (2)
167-170: LGTM! Clean refactoring that reduces nesting.Combining the two context managers into a single
withstatement improves readability while maintaining identical execution semantics.
198-206: LGTM! Consistent refactoring pattern.The consolidation of context managers follows the same clean pattern used in the fast path above, improving maintainability.
src/tl_templates/cuda/threadblock_swizzle.h (1)
26-27: Default offset parameter is correct and backward compatible.Both
rasterization2DColumnandrasterization2DRownow consistently definetemplate <int panel_width, int offset = 0>. All existing call sites instantiate or invoke these functions with only the panel_width argument, making them fully compatible with the new default parameter.
| namespace tl { | ||
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| template <int panel_width, int offset> TL_DEVICE dim3 rasterization2DRow() { | ||
| template <int panel_width, int offset = 0> TL_DEVICE dim3 rasterization2DRow() { |
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Address API inconsistency between CUDA and HIP implementations.
The default parameter offset = 0 was added to the CUDA version, but the HIP version in src/tl_templates/hip/threadblock_swizzle.h remains unchanged without the offset parameter. Both rasterization2DRow() and rasterization2DColumn() have diverged signatures. Update the HIP version to match the CUDA signature for API consistency, or document why they intentionally differ.
🤖 Prompt for AI Agents
In src/tl_templates/cuda/threadblock_swizzle.h around line 7 the CUDA template
signature template<int panel_width, int offset = 0> dim3 rasterization2DRow()
introduces a default offset parameter that the HIP implementation does not have;
to restore API consistency, update src/tl_templates/hip/threadblock_swizzle.h to
add the matching default template parameter (offset = 0) to the
rasterization2DRow() declaration (and make the same change for
rasterization2DColumn() if present) so both CUDA and HIP signatures match
exactly, keeping behavior identical and leaving a comment only if divergence is
intentional.
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🧹 Nitpick comments (1)
tilelang/utils/sparse.py (1)
15-15: Excellent improvement for cache isolation.Version-aware cache paths prevent incompatible compiled extensions from different package versions from conflicting. This is the correct approach for managing native extension caches.
The only minor consideration is that old version caches will accumulate over time, but this is an acceptable tradeoff for cache safety.
Optional: Verify version format is filesystem-safe
While semantic versioning (e.g., "1.0.0") is typically safe for filesystem paths, you could optionally verify that
__version__doesn't contain problematic characters:#!/bin/bash # Verify that __version__ follows a safe format for filesystem paths python -c "from tilelang import __version__; import re; assert re.match(r'^[0-9]+\.[0-9]+\.[0-9]+', __version__), f'Version format may not be filesystem-safe: {__version__}'; print(f'Version format is safe: {__version__}')"
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tilelang/utils/sparse.py
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tilelang/utils/sparse.py (1)
9-11: LGTM!The import and comment clearly document the purpose of version-aware caching. This is a good practice for ensuring cache isolation between different package versions.
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closed as part of #40 |
Summary by CodeRabbit
Refactor
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Tests / CI
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