Environment

Hardware Environment(Ascend/GPU/CPU):

Uncomment only one /device <> line, hit enter to put that in a new line, and remove leading whitespaces from that line:

/device gpu

Software Environment:

• MindSpore version (source or binary): 2.1.0
• Python version (e.g., Python 3.7.5): 3.7.13
• OS platform and distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04.6 LTS
• GCC/Compiler version (if compiled from source):

Describe the current behavior

mindspore.ops.sum在bool类型时与torch.sum返回结果不一致，有误

Describe the expected behavior

API映射表表明其mindspore.ops.sum与torch.sum返回结果一致，有误导性

Steps to reproduce the issue

测试代码如下：

import numpy as np
import torch
from mindspore import Tensor, ops
from mindspore import dtype as mstype

input = np.array([[True, False, False, True, True], [True, False, False, True, True], [True, False, False, True, True],
               [True, False, False, True, True], [True, False, False, True, True], [True, False, False, True, True],
               [True, False, False, True, True], [True, False, False, True, True], [True, False, False, True, True]])

m_x = Tensor(input, mstype.bool_)
t_x = torch.tensor(input, dtype=torch.bool)

m_out = ops.sum(m_x, dim = 0)
t_out = torch.sum(t_x, dim = 0)

print(m_out, t_out)

m_out = ops.sum(m_x, dim = 1)
t_out = torch.sum(t_x, dim = 1)

print(m_out, t_out)

Related log / screenshot

[ True False False True True] tensor([9, 0, 0, 9, 9])
[ True True True True True True True True True] tensor([3, 3, 3, 3, 3, 3, 3, 3, 3])

Special notes for this issue

请问其不一致是设计算子的本意吗？API映射表注明“功能一致，参数名不同”是否存在误导？