mirror of
https://github.com/tile-ai/tilelang.git
synced 2026-10-21 06:40:23 +08:00
Lei Wang
f9b6a92ee8
* [Enhancement] Add VectorizeLoop function and update imports for compatibility * [CI][Test] Improve test cases for vectorization and fix typos in parser comments * lint fix * Fix incorrect module reference for VectorizeLoop transformation * Refactor vectorize_loop transformation by removing unused extent mutation logic * [Enhancement] Add support for FP8 data types and global barriers in CUDA codegen * Fix formatting in CUDA FP8 header file for consistency * Refactor CI workflow to use 'tilelang_ci' virtual environment and update CUDA type printing for better clarity * Update submodule 'tvm' to latest commit for improved functionality * Refactor execution backend references from 'dl_pack' to 'dlpack' for consistency and clarity; add apply_simplify function to simplify PrimFunc or IRModule. * Refactor CUDA code for improved readability; clean up formatting and remove unnecessary whitespace in multiple files. * Refactor import statement in test_tilelang_kernel_dequantize_gemm.py to use 'tilelang.language' for consistency * Add CUDA requirements to FP8 test cases and update references for clarity * Add a blank line for improved readability in test_tilelang_kernel_fp8_gemm_mma.py * Fix data type in reference result calculation for consistency in test_tilelang_kernel_gemm_mma_intrinsic.py * Add CUDA requirements and FP8 test cases for matmul and gemv simulations * Remove debug print statements and use tilelang's testing assertion for result validation in test_tilelang_kernel_gemm_mma_intrinsic.py * Remove outdated comment regarding FP8 tests in test_tilelang_kernel_gemv_simt.py * Add BF16 support to matrix multiplication and introduce corresponding test cases * Add a blank line for improved readability in BF16 GEMM test * Update acknowledgements in README to include supervision by Zhi Yang at Peking University * enhance acknowledgement * Replace tutorial on memory layout optimization with new tutorial on writing high-performance kernels with thread primitives * Update subproject commit for TVM dependency * Update subproject commit for TVM dependency * Add int4_t type and functions for packing char values in CUDA common header * Add plot_layout example and implement GetForwardVars method in layout classes * Refactor code for improved readability by adjusting line breaks and formatting in layout and test files * Fix formatting by removing unnecessary line break in layout.h * Refactor make_int4 function for improved readability by adjusting parameter formatting