Fix shape for exclusive cumulative sum #63
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The current implementation of exclusive cumsum zero-pads the input at dim 1 and incorrectly slice the input along dim 0. For input with shape [32768, 32768], the output will be [32767, 32769], which is wrong semantically. This PR fixed this problem using narrow api to slice the tensor at the correct dim.