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The tensor layout follows ANE’s native NCDHW + Interleave format: [Batch, Channels, Depth, Height, Width]. For a 1024×1024 matrix, this becomes [1, 1024, 1, 1024] in 4D.

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How closures are laid out in memory

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思路:先对 nums2 用单调栈求每个元素的下一个更大值,存入 Map 缓存;再遍历 nums1 直接查 Map 得结果。时间复杂度 O(len1 + len2)。