Merge blocked
Hi @gcw_wOhhD7pg, welcome to submitting your first PR to CANN!
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PR Approval Progress
⚠️ This PR does not yet meet the following requirements:lgtm (requires ≥ 2 person(s) per module)、approve (requires ≥ 1 person(s) per module)
Module Approval Details
| module | lgtm status | approve status |
|---|---|---|
| repo-cann/ops-tilelang | ❌ (0/2)(You can also ask: 俞郑中, 黄俊健, 刘丹, kevin365, 马兵) | ❌ (0/1)(You can also ask: kevin365, 蒋礼锐, 刘丹, 黄俊健, ChaoyangJi) |
💡 Tip:
- Committer can comment
/approveor/lgtm- Commenting
/approveimplies both code review (lgtm) and intent to merge (approve)
CLA Signature Pass
gcw_wOhhD7pg, thanks for your pull request. All authors of the commits have signed the CLA. 👍
md 文档改一下里面的描述吧，看着ai味道有点重
改动
新增loss算子类别及cross_entropy_forward公共接口，提供硬标签交叉熵前向计算。
验证
在Ascend 950、CANN 9.3.0 weekly 20261021、PyTorch与torch_npu 2.10.0、TileLang提交f2b8866e上验证。
性能证据
完整词表V=129280，共72档设备耗时、带宽利用率图、完整数值表及CSV见性能数据与图表。测试环境、逻辑流量、实测搬运参考及统计方式均在资料页中说明。
性能基线JSONL和显存画像暂不随本PR提交。有效标签范围和有限输入由调用者保证，输出由算子独立分配。