issue/1207: 修复 NVIDIA T1-1 失败算子#1208
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Summary
本 PR 修复 2025 秋季算子比赛 T1-1 相关算子在 NVIDIA 后端的失败和不稳定问题。
涉及算子：
index_copyfmodlogdetupsample_nearestlogical_andlogical_notaddbmmgaussian_nll_loss本 PR 实际修改并修复了以下算子：
index_copyfmodlogdetupsample_nearestlogical_andlogical_notaddbmm和gaussian_nll_loss本 PR 未修改代码；已通过连续单算子测试重新确认，目前可以通过。Changes
index_copy：使用torch.randperm生成不重复 index，避免重复 index 导致同一位置被多次写入，从而出现非确定性结果。fmod：测试中避免生成 0 作为除数，防止在equal_nan=False时出现NaNvsNaN比较失败。logdet：使用稳定的正定 / 对角占优矩阵作为测试输入，同时保留 strided case 覆盖。upsample_nearest：导出upsample_nearest，并让 1Dinterpolate(mode="nearest")复用已有的upsample_nearest路径。logical_and：将缺失的ntops.torch.logical_andCUDA 路径替换为ne + bitwise_and组合实现。logical_not：将缺失的ntops.torch.logical_notCUDA 路径替换为先用eq写入临时 bool tensor，再以 alias-safe 的方式写回out。Test Result
Related issue
Fixes #1207