oneflow.sum(input, dim=None, keepdim=False)Tensor

Computes the sum of row of elements in a tensor in the given dimension. If the dimension is None, sum of all elements will be caculated.

If keepdim is True, the output tensor is of the same size as input except in the dimension(s) dim where it is of size 1. Otherwise, dim is squeezed oneflow.squeeze(), resulting in the output tensor having 1 (or len(dim)) fewer dimension(s).

  • input (oneflow.Tensor) – the Input Tensor

  • dim (int or tuple of ints, optional) – the dimension to reduce. Default: None

  • keepdim (bool, optional) – whether the output tensor has dim retained or not. Default: False

For example:

>>> import oneflow as flow

>>> input = flow.Tensor([[1, 2, 3], [4, 5, 6]])
>>> flow.sum(input)
tensor(21., dtype=oneflow.float32)
>>> flow.sum(input, dim=0)
tensor([5., 7., 9.], dtype=oneflow.float32)
>>> flow.sum(input, dim=1)
tensor([ 6., 15.], dtype=oneflow.float32)