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from typing import Union, List, Tuple
import numpy as np
import torch
def sum_tensor(inp: torch.Tensor, axes: Union[np.ndarray, Tuple, List], keepdim: bool = False) -> torch.Tensor:
axes = np.unique(axes).astype(int)
if keepdim:
for ax in axes:
inp = inp.sum(int(ax), keepdim=True)
else:
for ax in sorted(axes, reverse=True):
inp = inp.sum(int(ax))
return inp
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