torch.cummin#
- torch.cummin(input, dim, *, out=None)#
Returns a namedtuple
(values, indices)
wherevalues
is the cumulative minimum of elements ofinput
in the dimensiondim
. Andindices
is the index location of each maximum value found in the dimensiondim
.- 参数
- 关键字参数
out (tuple, optional) – 包含两个输出张量(values, indices)的结果元组。
示例
>>> a = torch.randn(10) >>> a tensor([-0.2284, -0.6628, 0.0975, 0.2680, -1.3298, -0.4220, -0.3885, 1.1762, 0.9165, 1.6684]) >>> torch.cummin(a, dim=0) torch.return_types.cummin( values=tensor([-0.2284, -0.6628, -0.6628, -0.6628, -1.3298, -1.3298, -1.3298, -1.3298, -1.3298, -1.3298]), indices=tensor([0, 1, 1, 1, 4, 4, 4, 4, 4, 4]))