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  1. 02 Oct, 2025 1 commit
    • Lei Wang's avatar
      [Layout] Strict annotate completed replicated layout for fragment with constant index (#929) · fc4bd452
      Lei Wang authored
      * [Layout] Add IsCompletedReplicated method and enhance layout inference in ParallelOpNode
      
      - Introduced IsCompletedReplicated method in FragmentNode to check if a buffer is fully replicated.
      - Enhanced InferLayout in ParallelOpNode to handle layout inference for replicated buffers, ensuring only fragment[0] access is allowed.
      - Updated error handling for non-zero index access in fragment buffers to improve robustness.
      
      * [Layout] Improve code formatting and readability in layout.cc and parallel.cc
      
      - Enhanced formatting in FragmentNode's IsCompletedReplicated method for better clarity.
      - Updated InferLayout method in ParallelOpNode to improve code readability by adjusting line breaks and indentation.
      - Ensured consistent formatting across conditional statements and comments for improved maintainability.
      
      * updt
      
      * optimize const index related op
      
      * bug fix
      
      * reduce gdn test
      
      * test fix
      
      * lintfix
      
      * lint fix
      
      * test fix
      fc4bd452
  2. 20 Jun, 2025 1 commit
    • Lei Wang's avatar
      [Enhancement] align shared memory allocations (#583) · fecc8336
      Lei Wang authored
      * [Enhancement] Update `pythonic_expr` to format type casts and improve tensor validation in Cython wrapper
      
      - Enhanced `pythonic_expr` to represent type casts as `(type)value` for better clarity in expression representation.
      - Modified tensor validation in `CythonKernelWrapper` to conditionally check for tensor contiguity based on a new `skip_tensor_validation` parameter.
      - Improved type mapping in `map_torch_type` to include version checks for new float8 types, ensuring compatibility with specific PyTorch versions.
      
      * [Feature] Implement dynamic shared memory allocation alignment
      
      - Added a new transformation pass `AlignDynamicSharedMemoryAllocations` to align dynamic shared memory allocations to specified byte boundaries, enhancing memory access efficiency.
      - Introduced a new utility class `TileLangAlignDynamicSharedMemoryAllocations` to handle the alignment logic for both allocation and buffer operations.
      - Updated the `LowerAndLegalize` function to apply the alignment transformation based on the target device's capabilities, ensuring compatibility with different architectures.
      
      * [Enhancement] Update dtype and argument defaults in GEMM autotuning example
      
      - Changed data type from `float16` to `bfloat16` for improved precision in computations.
      - Updated the default value of the `--with_roller` argument from `True` to `False` to modify the behavior of the autotuning process.
      
      * [Enhancement] Improve thread range computation in storage access
      
      - Added a new method `ComputeThreadRange` to calculate the range of threads for better access tracking.
      - Updated `AccessEntry` structure to include `thread_range`.
      - Modified various visitor methods to utilize `IRVisitorWithAnalyzer` for improved analysis during expression and statement visits.
      - Ensured thread range is computed and stored during buffer load and store operations, enhancing memory access efficiency.
      
      * [Refactor] Update comments for clarity in dynamic shared memory allocation alignment
      
      - Translated comments in `align_dynamic_shared_memory_allocations.cc` from Chinese to English for better understanding.
      - Removed an unnecessary call to `IRVisitorWithAnalyzer::VisitStmt_` in `storage_access.cc`.
      - Added a blank line for improved readability in `thread_storage_sync.cc`.
      
      * [Refactor] Enhance storage access analysis and thread range computation
      
      - Introduced `ExtractRealCondition` to improve condition handling in `IfThenElseNode` visits.
      - Updated `ComputeThreadRange` to use `Var` instead of `IterVar` for thread range mapping, enhancing clarity and consistency.
      - Wrapped statement visits in `With<arith::ConstraintContext>` to ensure proper analysis context during condition evaluations.
      
      * [Enhancement] Update default matrix dimensions in GEMM autotune example
      
      - Changed default values for matrix dimensions M, N, and K from 16384 to 4096 in `example_gemm_autotune.py` to facilitate quicker testing and benchmarking.
      
      * typo fix
      
      * enhancement
      
      * [Fix] Add conflict detection for buffer index size mismatch in thread storage sync
      
      - Implemented a check to return true if the sizes of previous and current buffer indices do not match, indicating a conflict.
      fecc8336
  3. 27 May, 2025 1 commit