Gwang-Jin Kim
2020-11-28 11:48:35
;; equivalent to Python's your_seq[1:7:2] would be:
(->> your-seq (drop 1) (take 7) (take-nth 2))
;; equivalent to Python's your_seq[::2] would be:
(->> your-seq (take-nth 2))
;; equivalent to Python's your_seq[2:4:-3] would be:
(->> your-seq (take 4) (drop 2) (reverse) (take-nth 3))
;; equivalent to Python's your_seq[2:-4:-1]:
(->> your-seq (take (+ 1 (- (length your-seq) 4))) (drop 2) (reverse))
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
(翻译：Mamba 是一种新的状态空间模型架构，在信息密集型数据（例如语言建模）上显示出良好的性能，而之前的二次模型在 Transformers 方面存在不足。它基于结构化状态空间模型的进展，并本着FlashAttention的精神进行高效的硬件感知设计和实现。)
感谢您提供的详细示例，这非常有帮助。
欢迎！一个人必须
take先一个然后drop我才意识到。已更正。请注意，后两个在seq上使用长度和反向的示例在无限序列上会遇到困难。