Pull Request已成功合入, 合并人@ascend-robot
(感谢 stonexxx 的贡献)变更摘要
本 PR 为 NPU 上的 flex attention score_mod 增加对 zeros_and_scatter 算子的支持:在 torch_npu/_inductor/kernel/flex_attention.py 中为其注册附加 lowering,并将 pointwise 子图 lowering 过程中新建的 buffer 注册到 V.graph;同时将用户传入的 kernel_options(如 BLOCK_M、BLOCK_N)透传到 FlexAttentionConfigGenerator 及前向/反向候选配置生成函数,并剥离无意义的 GPU 专用 BACKEND 选项。配套地删除了不再需要的 patch_extract_read_writes 补丁(含 torch_npu/_inductor/dependencies.py 整个文件),从 fallback 列表移除已由自定义 lowering 覆盖的右移与 alias 算子,并新增对应测试用例。
主要改动
- 支持
zeros_and_scatter的 lowering:在_get_flex_attention_additional_lowerings中注册torch.ops.flex_lib.zeros_and_scatter.default对应的zeros_and_scatter_lowering,并在_build_subgraph_buffer_with_additional_lowerings中把 pointwise 子图 lowering 期间新建的 buffer 统一注册到V.graph.register_buffer,以支持 subgraph 内的 buffer 创建/变更。 kernel_options透传与校验:FlexAttentionConfigGenerator、generate_fwd_candidate_configs、generate_bwd_candidate_configs新增kernel_options参数,按 FWD/BWD/BWDDQ/BWDDKDV 模式解析对应BLOCK_M/BLOCK_N键,校验其为正 2 的幂、多个键取值一致且与 sparse block size 兼容;各调用点(前向、反向、BWDDQ/BWDDKDV)同步传入该参数。- 剥离 GPU 专用选项:在
_register_npu_inductor_flex_attention的前向与反向注册路径中移除kernel_options里的"BACKEND"键,避免其泄漏到 Triton constexpr 参数。 - 清理不再需要的补丁与 fallback:删除
torch_npu/_inductor/dependencies.py(原强制normalize=False的patch_extract_read_writes)及torch_npu/_inductor/__init__.py中对应的导入与调用;从lowering_fallback_list.py移除aten.__rshift__系列算子与aten.alias.default。 - 新增测试覆盖:新增
test/_inductor/test_flexattnetion.py,验证 epilogue(如.cos())在 flex attention 模板中融合,以及kernel_options={"BLOCK_M": 16}能正确生效于生成的 Triton 代码。


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| module | lgtm status | approve status |
|---|---|---|
| test | ✅ HinPeng, rain-666 (2/2) | ✅ HinPeng (1/1) |
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/lgtm




https://gitcode.com/Ascend/pytorch/issues/4496
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