确定性问题描述：[性能问题][torch.nn.functional.multilabel_margin_loss]torch.nn.functional.multilabel_margin_loss算子存在 性能问题(两者都有)
通路：torchapi
golden版本：20261103
golden链接：https://gitcode.com/opencann/operator-artifacts/blob/master/hpc-group/july/MultilabelMarginLoss/04_golden/golden.py
cann版本：20261103
ttk版本：20261103
用例链接：https://gitcode.com/sleeveen/operator_test_case/tree/main/LongTail/Cases/Functional_Accuracy/torchapi/torch.nn.functional.multilabel_margin_loss
用例名：torch_multilabel_margin_loss_L1_001
复现命令：python3 -m ttk e2e -i 失败用例集_torch.nn.functional.multilabel_margin_loss_torchapi_性能失败.csv --dl=1 --plugin /home/CI/golden/torch.nn.functional.multilabel_margin_loss/ --device-whitelist=0 --xpu-perf -t torch_multilabel_margin_loss_L1_001
问题现象：

均值判断: 均值 = 该算子所有有gpu/npu性能结果的gpu/npu之和(3.144) ÷ 有性能值用例总数(300) = 0.0105; 与用例“带宽折算（均值）”比对, 均值 < 带宽折算（均值）判性能均值不过(本次均值不过用例300条)
单case判断: 逐用例比对 gpu/npu 与“带宽折算（单case）”, gpu/npu < 带宽折算（单case）判性能单case不达标(本次单case不达标用例300条)
均值(自算,共300条有性能用例)=0.0105 < 带宽折算（均值）=0.486, 性能均值不过；gpu/npu=0.005 < 带宽折算（单case）=0.162, 性能单case不达标

【用例 torch_multilabel_margin_loss_L1_001】
2026-11-08 21:15:30,650 [WARNING] [92831 torch_multilabel_margin_loss_L1_001 xpu-dispatch] [dispatcher.py:705]: 424 retry (1/5): {"error": "missing spec dependency: golden", "missing": "golden"} 

开发责任人：张磊
PL：张磊