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This pull request includes several updates to the documentation and codebase to enhance the clarity and functionality of deep learning operator tutorials and debugging tools. The changes primarily involve adding new documentation files, updating existing ones, and modifying callback references in the code.

Documentation Enhancements:

  • New Documentation Files:

    • Added new sections for various deep learning operators, including convolution.rst, elementwise.rst, flash_attention.rst, flash_linear_attention.rst, gemv.rst, matmul.rst, matmul_dequant.rst, and tmac_gpu.rst. [1] [2] [3] [4] [5] [6] [7] [8]
    • Added new tutorials on topics such as writing kernels with the Tile Library, annotating memory layout, auto-tuning, JIT compilation, and pipelining computations and data movements. [1] [2] [3] [4] [5]
  • Index Update:

    • Updated the index.rst to include new sections for tutorials and deep learning operators, improving navigation and accessibility.

Codebase Updates:

  • Callback References:

    • Updated callback references in rt_mod_cuda.cc and rt_mod_hip.cc to use tilelang_callback_* instead of tvm_callback_*, ensuring consistency with the TileLang framework. [1] [2] [3]
  • Debugging Tools:

    • Corrected the buffer name in the debug_print_register_files function in test_tilelang_debug_print.py to use register_buf instead of shared_buf, aligning with the intended functionality.

These changes collectively enhance the documentation and debugging capabilities, making it easier for users to understand and utilize the deep learning operators and TileLang framework.

@LeiWang1999 LeiWang1999 merged commit 7559da5 into tile-ai:main Jan 26, 2025
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