enhancement: 优化rearrange算子 #8
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目前代码不可用，且只针对2维做了转置优化，正在测试什么情况下性能更好 |
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| //src strides 降序 index | ||
| let src_strides_desc_idx = (0..scheme_update.ndim()) | ||
| .zip(src_strides) | ||
| .sorted_by(|a, b| b.1.cmp(&a.1)) |
Check warning
Code scanning / clippy
this expression creates a reference which is immediately dereferenced by the compiler
| let dst_cs = dst_cs / unit; | ||
| let src_rs = src_rs / unit; | ||
| let src_cs = src_cs / unit; | ||
| let unit = unit as usize; |
Check warning
Code scanning / clippy
casting to the same type is unnecessary (`usize` -> `usize`)
需要注意目前 ARRAY_SIZE 的大小是5，该常亮与可接受的Tensor的维度有关，但太大会导致kernel计算量增大 Operator 需要用到max_warps_block，warp_size来辅助计算，目前并未用到 block_size 目前固定位256，可进一步优化
Ceng23333
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Sep 23, 2025
test: 测试unmap行为
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