pytorch - 💡(How to fix) Fix [MPS] invalid `.fill_()` on offset view of 1D BoolTensor [1 participants]

import torch

x = torch.zeros((16,), dtype=torch.bool, device='mps')

a = x[1:]
a.fill_(True)

print(x)

---

tensor([ True,  True,  True,  True,  True,  True,  True,  True,  True,  True,
         True,  True, False,  True,  True,  True], device='mps:0')

---

tensor([ False,  True,  True,  True,  True,  True,  True,  True,  True,  True,
         True, True,  True,  True,  True, True], device='mps:0')

---

PyTorch version: 2.12.0
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 26.4.1 (arm64)
GCC version: Could not collect
Clang version: 21.0.0 (clang-2100.1.1.101)
CMake version: version 4.3.2
Libc version: N/A

Python version: 3.14.4 (main, Apr  7 2026, 13:13:20) [Clang 21.0.0 (clang-2100.0.123.102)] (64-bit runtime)
Python platform: macOS-26.4.1-arm64-arm-64bit-Mach-O
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Is XPU available: False
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Caching allocator config: N/A

CPU:
Apple M3

Versions of relevant libraries:
[pip3] numpy==2.4.4
[pip3] torch==2.12.0
[conda] Could not collect