官方文档地址：https://pytorch.org/docs/stable/generated/torch.sort.html?highlight=sort#torch.sort
形式：torch.sort(input, dim=- 1, descending=False, stable=False, *, out=None)
作用：沿给定维度按值升序对输入张量的元素进行排序。如果没有给出 dim，则选择输入的最后一个维度。如果descending 为True，则元素按值降序排序。如果 stable 为 True，则排序例程变得稳定，保持等效元素的顺序。返回 (values, indices) 的命名元组，其中值是排序后的值，索引是原始输入张量中元素的索引。
参数：
-
input (Tensor) – the input tensor.
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dim (int, optional) – the dimension to sort along
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descending (bool, optional) – controls the sorting order (ascending or descending)
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stable (bool, optional) – makes the sorting routine stable, which guarantees that the order of equivalent elements is preserved.
返回值：
out (tuple, optional) – the output tuple of (Tensor, LongTensor) that can be optionally given to be used as output buffers
使用案例如下：
x = torch.randn(3, 4) sorted, indices = torch.sort(x) sorted, indices = torch.sort(x, 0) x = torch.tensor([0, 1] * 9) x.sort() x.sort(stable=True) # torch.return_types.sort( # values=tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), # indices=tensor([ 0, 2, 4, 6, 8, 10, 12, 14, 16, 1, 3, 5, 7, 9, 11, 13, 15, 17]))
