[model] optimize padding mask reduction memory - #167
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hjh0119 merged 1 commit intoAug 24, 2026
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For a 128K sequence length, calling .sum() on the boolean attention mask promotes it to int64, resulting in a temporary tensor exceeding 90 GB.
Replace it with the logically equivalent Tensor.all() operation, which performs a native boolean reduction and avoids the large temporary allocation.