Alright, so I need to figure out whether this bug report is user-mode or system-mode related. Let's break down the problem. The issue occurs when importing TensorFlow in a Docker container on an M1 Mac using --platform linux/amd64. The error message mentions qemu and a signal 6 (Aborted), which suggests something went wrong during execution. Qemu is involved here because it's emulating an AMD64 architecture on the M1 Mac, which uses ARM chips natively. Docker uses qemu for this kind of emulation when running non-native images. The crash happens in TensorFlow, but looking deeper, the error message points to a problem with bucket_limits in monitoring/sampler.cc. The check failed because a condition (bucket_limits_[i] > bucket_limits_[i - 1]) wasn't met. That seems like an internal issue within TensorFlow's code, possibly related to some initialization or setup. Now, Docker for Mac uses qemu under the hood when running non-native containers. The Docker team suggested it's a qemu bug in their issue. Qemu is part of the system emulation layer, which would make this a system-mode issue since it involves lower-level processes and device emulation. So, even though the user interacts with Docker and TensorFlow, the crash stems from qemu not handling something correctly during the emulation process. This points to a problem in the system-mode components that Docker relies on for cross-platform container execution. system