torch.cumsum¶
- torch.cumsum(input, dim, *, dtype=None, out=None) Tensor ¶
Returns the cumulative sum of elements of
input
in the dimensiondim
.For example, if
input
is a vector of size N, the result will also be a vector of size N, with elements.- Parameters
- Keyword Arguments
dtype (
torch.dtype
, optional) – the desired data type of returned tensor. If specified, the input tensor is casted todtype
before the operation is performed. This is useful for preventing data type overflows. Default: None.out (Tensor, optional) – the output tensor.
Example:
>>> a = torch.randint(1, 20, (10,)) >>> a tensor([13, 7, 3, 10, 13, 3, 15, 10, 9, 10]) >>> torch.cumsum(a, dim=0) tensor([13, 20, 23, 33, 46, 49, 64, 74, 83, 93])