---
id: pr-tilelang-1672
repo: tile-ai/tilelang
pr: 1672
title: '[Clean][Refactor] Phaseout Legacy Pass `ParallelLoopTransformer`'
author: LeiWang1999
date: '2026-01-15'
url: https://github.com/tile-ai/tilelang/pull/1672
source_category: upstream-code
architectures:
- sm100
tags:
- attention
- attention kernel
- fused-op
techniques:
- kernel-fusion
hardware_features: []
kernel_types:
- attention
languages:
- cuda-cpp
captured_at: '2026-05-16'
status: merged
merge_sha: f035315621d137b4b8962e48e9d729bdb5ea9f9b
inclusion_reason: Search-matched CUDA kernel optimization PR; materialize diff/source before synthesis.
changed_paths:
- examples/blocksparse_attention/example_tilelang_sparse_gqa_decode_paged.py
- examples/blocksparse_attention/example_tilelang_sparse_gqa_decode_varlen_indice.py
- examples/blocksparse_attention/example_tilelang_sparse_gqa_decode_varlen_mask.py
- src/op/atomic_add.cc
- src/op/copy.cc
- src/op/fill.cc
- src/transform/common/loop_parallel_transform_utils.h
- src/transform/layout_inference.cc
artifact_dir: evidence/pull-bundles/tilelang/gh-1672
head_ref_oid: 8c7d3017d01d57347d92e4a181fcdcb227f75e9f
---
# [Clean][Refactor] Phaseout Legacy Pass `ParallelLoopTransformer`

- Repository: `tile-ai/tilelang`
- PR: [1672](https://github.com/tile-ai/tilelang/pull/1672)
- Decision: `Search-matched CUDA kernel optimization PR; materialize diff/source before synthesis.`
- Reason: Search-matched CUDA kernel optimization PR; materialize diff/source before synthesis.

## Changed Paths

- `examples/blocksparse_attention/example_tilelang_sparse_gqa_decode_paged.py`
- `examples/blocksparse_attention/example_tilelang_sparse_gqa_decode_varlen_indice.py`
- `examples/blocksparse_attention/example_tilelang_sparse_gqa_decode_varlen_mask.py`
- `src/op/atomic_add.cc`
- `src/op/copy.cc`
- `src/op/fill.cc`
- `src/transform/common/loop_parallel_transform_utils.h`
- `src/transform/layout_inference.cc`

## Evidence Bundle

`evidence/pull-bundles/tilelang/gh-1672`
