Nin17
2022-04-27 20:32:07
你可以使用集合，字典，列表和生成器来做到这一点，并分别称为集合，字典和列表推导或生成器表达式：
set_comprehension = {i for i in range(10)}
dict_comprehension = {i:i for i in range(10)}
list_comprehension = [i for i in range(10)]
generator_expression = (i for i in range(10))
print(set_comprehension)
print(dict_comprehension)
print(list_comprehension)
print(generator_expression)
输出：
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9}
{0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8, 9: 9}
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
<generator object <genexpr> at 0x7fe9e8999dd0>
热门github
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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。)
您还可以在参考中阅读完整的规范。
对于生成器，它称为生成器表达式，而不是生成器理解。