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Tong WU authored
* [Example] Add a new example to support attention sink for MHA - Introduced a new example script for multi-head attention (MHA) with sliding window attention and sink tokens. - Added a reference attention function to validate the implementation against PyTorch. - Included argument parsing for command-line execution of the example. * [Example] Replace MHA sink forward example with updated implementation - Removed the old example script for multi-head attention (MHA) with sliding window attention and sink tokens. - Introduced a new example script that modifies the attention mechanism to enhance performance and maintainability. - Updated argument parsing and reference functions to align with the new implementation. * Enhance MHA sink example with sliding window support - Added a `window_size` parameter to the `flashattn` function to enable sliding window attention. - Implemented assertions to ensure `window_size` is compatible with `block_N`. - Updated the main function to include a `tune` option for performance tuning. - Introduced a new test file to validate both full attention and sliding window scenarios. - Adjusted FLOPS calculation to account for the sliding window configuration. * lint * [Fix] Add checkinf process to fix the bug of swa * Migrate to BSHD layout to align with triton baselines * lint * fix typo * Refactor MHA sink example to use seq_q and seq_kv parameters to accommodate the new sequence length parameters. * Add GQA sink example for optimized attention mechanism & lint fix * fix several typos and bugs * lint * fix speed issues of swa * Add flash attention example with backward pass for BHSD layout and corresponding test cases * Add backward pass implementation for flash attention with sinks and corresponding test case * fix lint and typo * Optimze the calculation of `dsinks` * Add support for swa backward and update examples * fix previous typos * Add example for GQA sink backward pass and update tests for both MHA and GQA sinks * fix lint * fix previous typos * typo
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