Operating on boolean torch tensor and numpy array casts to unit8

[befelix]

🐛 Describe the bug

Sometimes one accidentally mixes torch and numpy arrays in the code. When this happens, numpy generally raises TypeError, while torch usually handles these situations gracefully. However, for boolean operations torch recasts to uint8, which leads to unexpected error messages down the road

import numpy as np
import torch

x = torch.tensor(True) | np.array(True)
print(x)

outputs tensor(1, dtype=torch.uint8) with dtype unit8. Expected output would be tensor(True) with boolean dtype.

Versions

PyTorch version: 1.11.0+cu102
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.4 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31

Python version: 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.13.0-41-generic-x86_64-with-glibc2.17
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] mypy==0.941
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.22.3
[pip3] torch==1.11.0
[conda] numpy 1.22.3 pypi_0 pypi
[conda] torch 1.11.0 pypi_0 pypi

cc @mruberry @rgommers @nairbv

[gchanan]

I was able to reproduce