Pytorch sum over a list of tensors along an axis
I have a list of tensors of the same shape. 
I would like to sum the entire list of tensors along an axis.
Does torch.cumsum perform this op along a dim?
If so it requires the list to be converted to a single tensor and summed over?

you don't need cumsum, sum is your friend
and yes you should first convert them into a single tensor with stack or cat based on your needs, something like this:

import torch
my_list = [torch.randn(3, 5), torch.randn(3, 5)]
result = torch.stack(my_list, dim=0).sum(dim=0).sum(dim=0)
print(result.shape) #torch.Size([5])

