[Release] Bumpy version to v0.1.1 #107
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- Remove TorchCPPKernelAdapter and related code from JIT modules - Update execution backend options in jit/__init__.py, kernel.py, and adapter/__init__.py - Remove "torch_cpp" from supported execution backend literals - Simplify backend validation and remove unused torch_cpp-related code 。
- Implement block sparse attention kernels for TileLang and Triton - Add example scripts for block sparse attention with top-k and threshold-based masking - Include utility functions for generating sparse attention masks - Demonstrate causal attention with block-level sparsity - Add test cases to validate sparse attention implementations against PyTorch reference
- Apply consistent code formatting and style in TileLang and Triton block sparse attention implementations - Add ruff linter ignore comment for specific line in Triton implementation - Improve readability by adjusting indentation and line breaks - Standardize sparse mask generation and test function implementations - Minor optimizations in test case configurations
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This pull request includes several changes to improve code readability and update the project version. The most significant changes include adding a new file to the
MANIFEST.in, updating the project version, and improving the formatting of several Python files to enhance readability.Project Updates:
VERSION: Updated the project version from0.1.0to0.1.1.File Additions:
MANIFEST.in: Addedtilelang/jit/adapter/cython/cython_wrapper.pyxto the included files.Code Formatting Improvements:
examples/blocksparse_attention/block_sparse_attn_tilelang.py: Improved the formatting of multiple function definitions and their calls for better readability. [1] [2] [3] [4] [5]examples/blocksparse_attention/block_sparse_attn_triton.py: Enhanced the readability by reformatting function definitions, function calls, and adding necessary comments. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13]