GitLab

Bumps [actions/github-script](https://github.com/actions/github-script) from 7 to 8.
- [Release notes](https://github.com/actions/github-script/releases)
- [Commits](https://github.com/actions/github-script/compare/v7...v8

)

---
updated-dependencies:
- dependency-name: actions/github-script
  dependency-version: '8'
  dependency-type: direct:production
  update-type: version-update:semver-major
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 6 to 7.
- [Release notes](https://github.com/astral-sh/setup-uv/releases)
- [Commits](https://github.com/astral-sh/setup-uv/compare/v6...v7

)

---
updated-dependencies:
- dependency-name: astral-sh/setup-uv
  dependency-version: '7'
  dependency-type: direct:production
  update-type: version-update:semver-major
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps [actions/setup-python](https://github.com/actions/setup-python) from 2 to 6.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v2...v6

)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* chore: add .editorconfig

* feat: enable dependabot for GHA workflows

* Reset

* Fix other CUDA issue

* fmt

* fmt

* fix cuda error

* fix

* fix

* fmt

* cleanup

* fix

* remove copyright

* trivial update

* readme update

* lint fix

---------
Co-authored-by: Lei Wang <34334180+LeiWang1999@users.noreply.github.com>
Co-authored-by: LeiWang1999 <leiwang1999@outlook.com>

* unify nvrtc check style

* unify nvrtc check style

* unify nvrtc check style

- Introduced new functions for buffer load copy with stride and parallel execution.
- Enhanced the copy logic in `copy.py` to simplify nested if statements for BufferLoad nodes.
- Added corresponding test cases for the new buffer load functionalities.

* [Profiler]Adds CUPTI profiler support

* format

* rafactor cupti profiler

* format

* rafactor

* rafactor

* fix lint

* fix lint

* refactor

* add profiler tests

---------
Co-authored-by: LeiWang1999 <leiwang1999@outlook.com>

* Add sparse mla bwd example

* add bwd into test

* Update README with bwd impl

* comment

* format fix

* lint fix

* fwd fix

---------
Co-authored-by: LeiWang1999 <leiwang1999@outlook.com>

* revert split+sum template for MHA backward

* lint

* Update example_mha_bwd.py

* Update example_mha_bwd_wgmma_pipelined.py

---------
Co-authored-by: Lei Wang <34334180+LeiWang1999@users.noreply.github.com>

* tma disable

* int64 cast fix.

[Example] Introduce split+sum template, and optimize `atomic_add` performance for bwd examples (#940)

* example fix

* lint fix

* bug fix

* reduce test size.

* [Example]  Fix lint  to improve grouped GEMM performance with TMA

* fix lint

* [Enhancement] Enhance the GQA backward kernel by calculating `dq` and `dv` via copy&sum

* [Example] Implement GQA backward example for Hopper with customized tiling and pipeline

* [Example] Add relevant tests

* Fix all typos of wrong shape of `V_shared` in macros

* [Example] Optimize online_softmax example

- Y should be output in float16.
- BN needs to be equal to N to be really online.
- On my H100 machine, this increase speedup from 1.424x to 2.788x.

* enhance

---------
Co-authored-by: LeiWang1999 <leiwang1999@outlook.com>

* Implements tcgen05.ld instruction support for copying from shared.tmem
  to local.fragment on SM100/Blackwell architecture. Adds layout inference
  and lowering logic for tensor memory operations with proper physical
  coordinate range analysis and warpgroup alignment checks.

  Changes:
  - Add kTMemLoad and kTMemStore to CopyInst enumeration
  - Implement CheckTMemLoad() and CheckTMemStore() validation functions
  - Add LowerTmemCopy() to generate tcgen05.ld/st/cp PTX intrinsics
  - Add tmem layout inference in InferLayout() using expandTcgen05Layout
  - Support multiple instruction variants (32dp32b/64b/128b/256b)
  - Add physical layout bounds analysis for tmem coordinates
  - Change clear_accum from bool to PrimExpr in GEMM operations
  - Fix std::optional access checks in layout_inference.cc
  - Add tmem_allocate/deallocate PTX intrinsic support
  - Fix cooperative_groups grid.sync() code generation

* fix

* pipeline fix

* bug fix

* bool fix

* [Layout] Add IsCompletedReplicated method and enhance layout inference in ParallelOpNode

- Introduced IsCompletedReplicated method in FragmentNode to check if a buffer is fully replicated.
- Enhanced InferLayout in ParallelOpNode to handle layout inference for replicated buffers, ensuring only fragment[0] access is allowed.
- Updated error handling for non-zero index access in fragment buffers to improve robustness.

* [Layout] Improve code formatting and readability in layout.cc and parallel.cc

- Enhanced formatting in FragmentNode's IsCompletedReplicated method for better clarity.
- Updated InferLayout method in ParallelOpNode to improve code readability by adjusting line breaks and indentation.
- Ensured consistent formatting across conditional statements and comments for improved maintainability.

* updt

* optimize const index related op

* bug fix

* reduce gdn test

* test fix

* lintfix

* lint fix

* test fix

* Update requirements and refactor benchmark script for deepseek_nsa example

- Updated the requirements.txt to specify a fixed commit for the flash-linear-attention repository.
- Refactored import paths in benchmark_nsa_fwd.py for better organization.
- Added a new function to generate configurations for autotuning.
- Modified the tilelang_sparse_attention function to accept parameters for block size, number of stages, and threads, enhancing flexibility.
- Changed allocation of shared memory for accumulators to optimize performance.

* Refactor import paths in dequantization examples to use dequantize_utils

- Updated import statements in multiple dequantization example scripts to replace references to the removed utils.py file with the new dequantize_utils module.
- Ensured consistency across example scripts for better organization and maintainability.

In cases where JITKernel.artifact is None, it'll spit error -
```
2025-10-01 01:06:18  [TileLang:tilelang:ERROR]: Error saving kernel source
code to disk: 'NoneType' object has no attribute 'kernel_source'
```

Looking at properties of JITKernel, it seems that `JITKernel.kernel_source`
is a better way to achieve this.
Ref:
https://github.com/tile-ai/tilelang/blob/main/tilelang/jit/kernel.py#L453-L455

Co-authored-by: Dylan <miaoding.dai@plus.ai>

* [Cache] Add compile_flags parameter to KernelCache hash keys

* [Cache] Update compile_flags parameter to accept both List[str] and str types

* lint

* [Refactor] Update compile_flags parameter to accept Union[List[str], str] type

* [CI] optimize CI time

* [CI] fix transpose && format

* [misc] apply coderabbit suggestions && fix typo

[Example] Specify a fixed commit for the flash-linear-attention repository and optimize nsa examples (#913)

- Updated the requirements.txt to specify a fixed commit for the flash-linear-attention repository.
- Refactored import paths in benchmark_nsa_fwd.py for better organization.
- Added a new function to generate configurations for autotuning.
- Modified the tilelang_sparse_attention function to accept parameters for block size, number of stages, and threads, enhancing flexibility.
- Changed allocation of shared memory for accumulators to optimize performance.

* Remove unused `fp8_mqa_logits.py` file and update README.md to reflect new directory structure and file descriptions for deepseek_v32 example. Added sections for architecture overview, Lightning Indexer, Top-k Selector, and Sparse MLA Forward implementations.

* Update linting configurations and improve code formatting in deepseek_v32 example scripts

- Added per-file ignores for the inference directory in `pyproject.toml`.
- Refactored code in `topk_selector.py`, `convert.py`, `generate.py`, `kernel.py`, and `model.py` to enhance readability by adjusting spacing and line breaks.
- Ensured consistent formatting across function definitions and assertions for better clarity.

* Refactor test functions in deepseek_v32 example scripts for improved clarity and consistency

- Updated `fp8_lighting_indexer.py` to define a dedicated test function for the lighting indexer.
- Refactored `sparse_mla_fwd_pipelined.py` and `sparse_mla_fwd.py` to standardize test function parameters and improve readability.
- Enhanced `topk_selector.py` by introducing a test function with parameters for batch size and sequence length.
- Ensured all test functions are invoked correctly in the main execution block.

* Enhance test functions in deepseek_v32 example scripts with CUDA requirements and parameterization

- Added CUDA requirements decorators to `test_example_sparse_mla_fwd` and `test_example_sparse_mla_fwd_pipelined`.
- Parameterized test functions to use specific small shapes for testing, improving test coverage and clarity.

* lint fix

* Update README.md to correct image path for DeepSeek V3.2 architecture diagram

* fix flops comp and softmax scale

* format

* [Typo] Fix backend name for Huawei Ascend chips

* update

* Update README.md to include directory structure and file descriptions for deepseek_v32 example

* Refactor and clean up deepseek_v32 example scripts

- Removed unused imports and functions from `fp8_mqa_logits.py` to streamline the code.
- Improved formatting and readability in `sparse_mla_fwd_pipelined.py` and `sparse_mla_fwd.py` by adjusting function signatures and indentation.
- Added `# ruff: noqa` comments to suppress linting warnings in multiple files.
- Enhanced the `generate_random_cu_seqlens` function in `utils.py` for better clarity and organization.
- Updated print statements for consistency in output formatting.

* [Refactor] Enhance CopyNode Lower method to support disable_tma flag and improve flash attention implementation

* Updated the CopyNode Lower method to correctly include the disable_tma flag in the GetCopyInst call.
* Refactored the flash attention implementation to selectively disable TMA for specific copy operations while allowing it for others.
* Addressed linting issues for improved code quality

* sparse mla kernels

* Remove deprecated sparse MLA and utility files to streamline the codebase.

* Fix CopyNode Lower method to include disable_tma flag in GetCopyInst call

* Refactor flash attention implementation to disable TMA for specific copy and allow TMA for other operations

* attempt to fix lint

* update sm100 related utcmma, tmem, ld/st256 in src
* update sm100 related utcmma, tmem, ld/st256 in tilelang
* Remove deprecated GEMM examples and related README documentation for SM100 architecture support
* Update GEMM implementation to replace UTCMMA with TCGEN5MMA across relevant files
* Remove gemm_umma.py example and update README to reflect TCGEN5MMA terminology changes
* Update README.md for gemm_sm100 example by removing outdated API sections and streamlining documentation
* Update README and source files to reflect TCGEN5.MMA terminology changes
* Refactor CUDA GEMM header for improved readability