[Carver] Remove legacy todo items in carver's readme (#74)

* [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 ...

tilelang/carver/README.md

@@ -196,6 +196,7 @@ This helps quickly test multiple configurations without manually guessing.
 
 Carver abstracts common loop patterns through templates:
 - **`GeneralReductionTemplate`**: For general `Spatial-Spatial-Reduce` (SSR) structures or similar.
+- **`FlashAttentionTemplate`**: For attention-like operations with flash memory.
 - **`MatmulTemplate`**: For standard matrix multiplication `C = A * B`.
 - **`GEMVTemplate`**: For `y = Ax` or `y = xA` style operations.
 - **`ElementwiseTemplate`**: For elementwise transformations or pointwise ops.
@@ -205,6 +206,5 @@ You can also create your own specialized templates if you have unique loop struc
 
 ## TODO Items
 
-- [ ] **Flash Attention** and its variants: Support search-space generation for specialized attention kernels.
 - [ ] **Adapt to tile language**: Provide ready-made scheduling calls or wrappers for [tilelang](https://github.com/LeiYanggh/tilelang) to streamline end-to-end integration.