Returns the cumulative sum of elements of input in the dimension dim.
For example, if input is a vector of size N, the result will also be a vector of size N, with elements.
y i = x 1 + x 2 + x 3 + ⋯ + x i y_i = x_1 + x_2 + x_3 + \dots + x_i yi=x1+x2+x3+⋯+xi
>>> 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])
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