"...git@developer.sourcefind.cn:renzhc/diffusers_dcu.git" did not exist on "d6f4774c1c66a7e72951ab60e2241aff14e5d688"
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Lei Wang authored
* refactor code * enhance tutorial * Enhance error handling and code generation in CUDA and TileLang components This commit introduces several improvements across multiple files: - Added more informative error messages in GEMM layout checks - Updated CUDA codegen to support more flexible function signature generation - Improved TMA descriptor initialization and kernel dispatch logic - Refined library generation and source code parsing utilities - Enhanced error handling in various adapter and wrapper classes * Add thread tag validation for warp specialization Introduce a ThreadTagChecker to validate that a PrimFunc only uses threadIdx.x before applying warp specialization. This prevents unintended transformations on kernels with complex thread binding and provides a clear warning to users about potential issues with warp specialization. * Update TileLang Profiling and Compilation in Flash Decoding Examples Refactor the profiling and compilation workflow in two flash decoding example scripts: - Replace `tilelang.lower()` and `tilelang.Profiler()` with `tilelang.compile()` - Simplify profiler initialization using `get_profiler()` - Update method calls to use the new profiler and compiled kernel objects - Maintain existing performance benchmarking and validation logic * Refactor and clean up code formatting in TileLang testing and adapter modules This commit includes several code style and formatting improvements: - Adjust whitespace and line breaks in test files - Improve code formatting in CUDA source wrapper and adapter utilities - Enhance readability of function calls and argument handling - Remove unnecessary whitespace and standardize indentation - Simplify function signatures and argument parsing * Refactor CUDA codegen and improve code formatting This commit includes several improvements to CUDA code generation and formatting: - Enhance function signature generation in CodeGenTileLangCUDA - Improve code formatting and readability in CUDA-related files - Simplify parameter handling and type annotations - Clean up whitespace and line breaks in codegen and layout files --------- Co-authored-by:Ubuntu <dlisuser@h100testl730RPS.xu5snccwrbtejcqqalluoku5hb.xx.internal.cloudapp.net>
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